Showing 200 of total 305 results (show query)
cbracis
recurse:Computes Revisitation Metrics for Trajectory Data
Computes revisitation metrics for trajectory data, such as the number of revisitations for each location as well as the time spent for that visit and the time since the previous visit. Also includes functions to plot data.
Maintained by Chloe Bracis. Last updated 6 months ago.
63.6 match 10 stars 6.18 score 38 scriptsr-forge
partykit:A Toolkit for Recursive Partytioning
A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Maintained by Torsten Hothorn. Last updated 7 days ago.
13.8 match 12.68 score 2.3k scripts 96 dependentsbethatkinson
rpart:Recursive Partitioning and Regression Trees
Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.
Maintained by Beth Atkinson. Last updated 6 months ago.
7.3 match 51 stars 16.15 score 18k scripts 1.5k dependentskvasilopoulos
transx:Transform Univariate Time Series
Univariate time series operations that follow an opinionated design. The main principle of 'transx' is to keep the number of observations the same. Operations that reduce this number have to fill the observations gap.
Maintained by Kostas Vasilopoulos. Last updated 4 years ago.
detrendfiltersoutlierstime-seriestransx
27.0 match 3 stars 4.29 score 13 scriptsbrandmaier
semtree:Recursive Partitioning for Structural Equation Models
SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups each sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees. A description of the method was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.
Maintained by Andreas M. Brandmaier. Last updated 1 months ago.
bigdatadecision-treeforestmultivariaterandomforestrecursive-partitioningsemstatistical-modelingstructural-equation-modelingstructural-equation-models
12.7 match 16 stars 8.66 score 68 scriptssebkrantz
collapse:Advanced and Fast Data Transformation
A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf', 'units', 'plm' (panel-series and data frames), and 'xts'/'zoo'.
Maintained by Sebastian Krantz. Last updated 12 days ago.
data-aggregationdata-analysisdata-manipulationdata-processingdata-sciencedata-transformationeconometricshigh-performancepanel-datascientific-computingstatisticstime-seriesweightedweightscppopenmp
6.6 match 670 stars 16.48 score 768 scripts 93 dependentsspatstat
spatstat.model:Parametric Statistical Modelling and Inference for the 'spatstat' Family
Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope tests, Dao-Genton test, balanced independent two-stage test), confidence intervals for parameters, and prediction intervals for point counts. Model validation techniques include leverage, influence, partial residuals, added variable plots, diagnostic plots, pseudoscore residual plots, model compensators and Q-Q plots.
Maintained by Adrian Baddeley. Last updated 1 days ago.
analysis-of-variancecluster-processconfidence-intervalscox-processdeterminantal-point-processesgibbs-processinfluenceleveragemodel-diagnosticsneyman-scottparameter-estimationpoisson-processspatial-analysisspatial-modellingspatial-point-processesstatistical-inference
10.5 match 5 stars 8.89 score 6 scripts 47 dependentsjorischau
rrapply:Revisiting Base Rapply
The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
Maintained by Joris Chau. Last updated 19 days ago.
10.5 match 56 stars 8.56 score 68 scripts 14 dependentsmlr-org
mlr3fselect:Feature Selection for 'mlr3'
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Maintained by Marc Becker. Last updated 5 days ago.
evolutionary-algorithmsexhaustive-searchfeature-selectionmachine-learningmlr3optimizationrandom-searchrecursive-feature-eliminationsequential-feature-selection
10.7 match 23 stars 8.12 score 69 scripts 2 dependentsbusiness-science
modeltime.ensemble:Ensemble Algorithms for Time Series Forecasting with Modeltime
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.
Maintained by Matt Dancho. Last updated 6 months ago.
ensembleensemble-learningforecastforecastingmodeltimestackingstacking-ensembletidymodelstimetime-seriestimeseries
8.4 match 75 stars 8.29 score 143 scriptsyihui
xfun:Supporting Functions for Packages Maintained by 'Yihui Xie'
Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Maintained by Yihui Xie. Last updated 7 days ago.
3.7 match 142 stars 17.93 score 840 scripts 4.2k dependentsbioc
celda:CEllular Latent Dirichlet Allocation
Celda is a suite of Bayesian hierarchical models for clustering single-cell RNA-sequencing (scRNA-seq) data. It is able to perform "bi-clustering" and simultaneously cluster genes into gene modules and cells into cell subpopulations. It also contains DecontX, a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. A variety of scRNA-seq data visualization functions is also included.
Maintained by Joshua Campbell. Last updated 3 months ago.
singlecellgeneexpressionclusteringsequencingbayesianimmunooncologydataimportcppopenmp
5.3 match 148 stars 10.39 score 265 scripts 2 dependentsrobinhankin
magic:Create and Investigate Magic Squares
A collection of functions for the manipulation and analysis of arbitrarily dimensioned arrays. The original motivation for the package was the development of efficient, vectorized algorithms for the creation and investigation of magic squares and high-dimensional magic hypercubes.
Maintained by Robin K. S. Hankin. Last updated 5 months ago.
5.0 match 3 stars 11.04 score 436 scripts 224 dependentsbrodieg
oshka:Recursive Quoted Language Expansion
Expands quoted language by recursively replacing any symbol that points to quoted language with the language it points to. The recursive process continues until only symbols that point to non-language objects remain. The resulting quoted language can then be evaluated normally. This differs from the traditional 'quote'/'eval' pattern because it resolves intermediate language objects that would interfere with evaluation.
Maintained by Brodie Gaslam. Last updated 7 years ago.
10.6 match 14 stars 5.15 score 9 scriptsr-forge
Matrix:Sparse and Dense Matrix Classes and Methods
A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Maintained by Martin Maechler. Last updated 22 hours ago.
3.2 match 1 stars 16.93 score 32k scripts 12k dependentsrkoenker
quantreg:Quantile Regression
Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Maintained by Roger Koenker. Last updated 2 months ago.
4.0 match 18 stars 13.50 score 2.6k scripts 1.4k dependentsinsightsengineering
rtables:Reporting Tables
Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Maintained by Joe Zhu. Last updated 11 days ago.
3.7 match 229 stars 13.43 score 263 scripts 16 dependentsasgr
imager:Image Processing Library Based on 'CImg'
Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R. The package wraps 'CImg', <http://cimg.eu>, a simple, modern C++ library for image processing.
Maintained by Aaron Robotham. Last updated 7 months ago.
3.6 match 17 stars 13.65 score 2.4k scripts 41 dependentsbusiness-science
modeltime:The Tidymodels Extension for Time Series Modeling
The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Maintained by Matt Dancho. Last updated 3 months ago.
arimadata-sciencedeep-learningetsforecastingmachine-learningmachine-learning-algorithmsmodeltimeprophettbatstidymodelingtidymodelstimetime-seriestime-series-analysistimeseriestimeseries-forecasting
4.7 match 547 stars 10.44 score 1.1k scripts 7 dependentshadley
pryr:Tools for Computing on the Language
Useful tools to pry back the covers of R and understand the language at a deeper level.
Maintained by Hadley Wickham. Last updated 1 years ago.
4.1 match 202 stars 11.80 score 1.9k scripts 56 dependentscran
endogeneity:Recursive Two-Stage Models to Address Endogeneity
Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.
Maintained by Jing Peng. Last updated 5 days ago.
24.3 match 2.00 score 2 scriptsropensci
jqr:Client for 'jq', a 'JSON' Processor
Client for 'jq', a 'JSON' processor (<https://jqlang.github.io/jq/>), written in C. 'jq' allows the following with 'JSON' data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Maintained by Jeroen Ooms. Last updated 1 months ago.
4.8 match 144 stars 10.09 score 95 scripts 28 dependentspachadotdev
economiccomplexity:Computational Methods for Economic Complexity
A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.
Maintained by Mauricio Vargas Sepulveda. Last updated 1 months ago.
economic-complexityeigenvalueseigenvectorsgraphsinternational-tradematrixnetworksrecursive-algorithmopenblascppopenmp
7.5 match 38 stars 6.34 score 19 scriptsmailund
dynprog:Dynamic Programming Domain-Specific Language
A domain-specific language for specifying translating recursions into dynamic-programming algorithms. See <https://en.wikipedia.org/wiki/Dynamic_programming> for a description of dynamic programming.
Maintained by Thomas Mailund. Last updated 5 years ago.
11.3 match 17 stars 3.93 score 9 scriptstidyverse
purrr:Functional Programming Tools
A complete and consistent functional programming toolkit for R.
Maintained by Hadley Wickham. Last updated 5 months ago.
2.0 match 1.3k stars 21.81 score 59k scripts 6.7k dependentsbrian-j-smith
MachineShop:Machine Learning Models and Tools
Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Maintained by Brian J Smith. Last updated 5 months ago.
classification-modelsmachine-learningpredictive-modelingregression-modelssurvival-models
5.1 match 61 stars 8.25 score 121 scriptsgluc
data.tree:General Purpose Hierarchical Data Structure
Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Maintained by Christoph Glur. Last updated 4 months ago.
3.3 match 208 stars 12.70 score 1.1k scripts 86 dependentsropensci
bowerbird:Keep a Collection of Sparkly Data Resources
Tools to get and maintain a data repository from third-party data providers.
Maintained by Ben Raymond. Last updated 15 days ago.
ropensciantarcticsouthern oceandataenvironmentalsatelliteclimatepeer-reviewed
5.8 match 48 stars 7.18 score 15 scripts 1 dependentstiledb-inc
tiledb:Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays
The modern database 'TileDB' introduces a powerful on-disk format for storing and accessing any complex data based on multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations. This package provides the R support.
Maintained by Isaiah Norton. Last updated 7 days ago.
arrayhdfss3storage-managertiledbcpp
3.5 match 107 stars 11.86 score 322 scripts 4 dependentsmmaechler
sfsmisc:Utilities from 'Seminar fuer Statistik' ETH Zurich
Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Maintained by Martin Maechler. Last updated 3 months ago.
3.8 match 11 stars 10.78 score 550 scripts 119 dependentswatanabe-j
qfratio:Moments and Distributions of Ratios of Quadratic Forms Using Recursion
Evaluates moments of ratios (and products) of quadratic forms in normal variables, specifically using recursive algorithms developed by Bao and Kan (2013) <doi:10.1016/j.jmva.2013.03.002> and Hillier et al. (2014) <doi:10.1017/S0266466613000364>. Also provides distribution, quantile, and probability density functions of simple ratios of quadratic forms in normal variables with several algorithms. Originally developed as a supplement to Watanabe (2023) <doi:10.1007/s00285-023-01930-8> for evaluating average evolvability measures in evolutionary quantitative genetics, but can be used for a broader class of statistics. Generating functions for these moments are also closely related to the top-order zonal and invariant polynomials of matrix arguments.
Maintained by Junya Watanabe. Last updated 4 months ago.
quadratic-formsrcpprcppeigenzonal-polynomialscppopenmp
8.4 match 1 stars 4.70 score 5 scriptscolearendt
tidyjson:Tidy Complex 'JSON'
Turn complex 'JSON' data into tidy data frames.
Maintained by Cole Arendt. Last updated 2 years ago.
3.4 match 192 stars 10.58 score 522 scripts 7 dependentsgsucarrat
gets:General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use, the estimator and diagnostics tests can be fully user-specified, see Sucarrat (2021) <doi:10.32614/RJ-2021-024>.
Maintained by Genaro Sucarrat. Last updated 6 months ago.
5.3 match 8 stars 6.73 score 71 scripts 3 dependentsipeagit
gtfstools:General Transit Feed Specification (GTFS) Editing and Analysing Tools
Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Maintained by Daniel Herszenhut. Last updated 7 days ago.
gtfspublic-transportpublictransportcpp
3.8 match 40 stars 9.23 score 126 scripts 3 dependentspecanproject
PEcAn.FATES:PEcAn Package for Integration of FATES Model
The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation. This package provides functions to link the FATES model to PEcAn.
Maintained by Mike Dietze. Last updated 3 days ago.
bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants
4.5 match 211 stars 7.52 score 6 scriptshadley
plyr:Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into manageable pieces, operate on each piece and then put all the pieces back together. For example, you might want to fit a model to each spatial location or time point in your study, summarise data by panels or collapse high-dimensional arrays to simpler summary statistics. The development of 'plyr' has been generously supported by 'Becton Dickinson'.
Maintained by Hadley Wickham. Last updated 3 months ago.
1.8 match 496 stars 18.03 score 83k scripts 3.2k dependentstopepo
caret:Classification and Regression Training
Misc functions for training and plotting classification and regression models.
Maintained by Max Kuhn. Last updated 1 months ago.
1.7 match 1.6k stars 19.18 score 61k scripts 289 dependentsmlr-org
mlr3extralearners:Extra Learners For mlr3
Extra learners for use in mlr3.
Maintained by Sebastian Fischer. Last updated 3 months ago.
3.5 match 94 stars 9.23 score 474 scriptseahouseman
RPMM:Recursively Partitioned Mixture Model
Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.
Maintained by E. Andres Houseman. Last updated 8 years ago.
7.1 match 4.33 score 80 scripts 7 dependentshadley
reshape2:Flexibly Reshape Data: A Reboot of the Reshape Package
Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Maintained by Hadley Wickham. Last updated 4 years ago.
1.8 match 210 stars 17.10 score 94k scripts 2.0k dependentsshabbychef
mazealls:Generate Recursive Mazes
Supports the generation of parallelogram, equilateral triangle, regular hexagon, isosceles trapezoid, Koch snowflake, 'hexaflake', Sierpinski triangle, Sierpinski carpet and Sierpinski trapezoid mazes via 'TurtleGraphics'. Mazes are generated by the recursive method: the domain is divided into sub-domains in which mazes are generated, then dividing lines with holes are drawn between them, see J. Buck, Recursive Division, <http://weblog.jamisbuck.org/2011/1/12/maze-generation-recursive-division-algorithm>.
Maintained by Steven E. Pav. Last updated 1 years ago.
6.3 match 46 stars 4.74 score 24 scriptshedgehogqa
hedgehog:Property-Based Testing
Hedgehog will eat all your bugs. 'Hedgehog' is a property-based testing package in the spirit of 'QuickCheck'. With 'Hedgehog', one can test properties of their programs against randomly generated input, providing far superior test coverage compared to unit testing. One of the key benefits of 'Hedgehog' is integrated shrinking of counterexamples, which allows one to quickly find the cause of bugs, given salient examples when incorrect behaviour occurs.
Maintained by Huw Campbell. Last updated 4 years ago.
4.0 match 55 stars 7.30 score 61 scripts 1 dependentsmllg
checkmate:Fast and Versatile Argument Checks
Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Maintained by Michel Lang. Last updated 6 months ago.
1.7 match 266 stars 16.25 score 1.5k scripts 1.9k dependentsjimgrange
trimr:An Implementation of Common Response Time Trimming Methods
Provides various commonly-used response time trimming methods, including the recursive / moving-criterion methods reported by Van Selst and Jolicoeur (1994). By passing trimming functions raw data files, the package will return trimmed data ready for inferential testing.
Maintained by James Grange. Last updated 3 years ago.
5.3 match 8 stars 5.27 score 47 scriptsopenpharma
crmPack:Object-Oriented Implementation of CRM Designs
Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.
Maintained by Daniel Sabanes Bove. Last updated 7 days ago.
3.5 match 21 stars 7.90 score 208 scriptst-kalinowski
keras:R Interface to 'Keras'
Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Maintained by Tomasz Kalinowski. Last updated 9 months ago.
2.5 match 10.80 score 10k scripts 55 dependentskwb-r
kwb.utils:General Utility Functions Developed at KWB
This package contains some small helper functions that aim at improving the quality of code developed at Kompetenzzentrum Wasser gGmbH (KWB).
Maintained by Hauke Sonnenberg. Last updated 10 months ago.
3.6 match 8 stars 7.33 score 12 scripts 78 dependentsjennybc
repurrrsive:Examples of Recursive Lists and Nested or Split Data Frames
Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, music collections, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.
Maintained by Jennifer Bryan. Last updated 2 years ago.
3.4 match 136 stars 7.88 score 612 scriptsdatastorm-open
visNetwork:Network Visualization using 'vis.js' Library
Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Maintained by Benoit Thieurmel. Last updated 2 years ago.
1.7 match 548 stars 15.00 score 4.2k scripts 195 dependentstdhock
directlabels:Direct Labels for Multicolor Plots
An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Maintained by Toby Dylan Hocking. Last updated 9 months ago.
2.3 match 82 stars 10.82 score 1.9k scripts 17 dependentscvxgrp
CVXR:Disciplined Convex Optimization
An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.
Maintained by Anqi Fu. Last updated 3 months ago.
1.9 match 206 stars 12.79 score 768 scripts 51 dependentsbioc
BRAIN:Baffling Recursive Algorithm for Isotope distributioN calculations
Package for calculating aggregated isotopic distribution and exact center-masses for chemical substances (in this version composed of C, H, N, O and S). This is an implementation of the BRAIN algorithm described in the paper by J. Claesen, P. Dittwald, T. Burzykowski and D. Valkenborg.
Maintained by Piotr Dittwald. Last updated 3 months ago.
immunooncologymassspectrometryproteomics
4.6 match 5.11 score 13 scriptshenrikbengtsson
R.utils:Various Programming Utilities
Utility functions useful when programming and developing R packages.
Maintained by Henrik Bengtsson. Last updated 1 years ago.
1.7 match 63 stars 13.69 score 5.6k scripts 806 dependentsrichierocks
rebus.base:Core Functionality for the 'rebus' Package
Build regular expressions piece by piece using human readable code. This package contains core functionality, and is primarily intended to be used by package developers.
Maintained by Richard Cotton. Last updated 8 years ago.
4.9 match 2 stars 4.81 score 31 scripts 7 dependentsrichierocks
rebus:Build Regular Expressions in a Human Readable Way
Build regular expressions piece by piece using human readable code. This package is designed for interactive use. For package development, use the rebus.* dependencies.
Maintained by Richard Cotton. Last updated 8 years ago.
3.0 match 32 stars 7.40 score 364 scripts 3 dependentspacificclimate
ncdf4.helpers:Helper Functions for Use with the 'ncdf4' Package
Contains a collection of helper functions for dealing with 'NetCDF' files <https://www.unidata.ucar.edu/software/netcdf/> opened using 'ncdf4', particularly 'NetCDF' files that conform to the Climate and Forecast (CF) Metadata Conventions <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html>.
Maintained by Lee Zeman. Last updated 3 years ago.
3.8 match 5 stars 5.85 score 236 scripts 1 dependentsthothorn
HSAUR3:A Handbook of Statistical Analyses Using R (3rd Edition)
Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.
Maintained by Torsten Hothorn. Last updated 5 months ago.
3.3 match 6 stars 6.51 score 120 scripts 2 dependentsinlabru-org
fmesher:Triangle Meshes and Related Geometry Tools
Generate planar and spherical triangle meshes, compute finite element calculations for 1- and 2-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Maintained by Finn Lindgren. Last updated 1 months ago.
2.0 match 14 stars 10.79 score 204 scripts 25 dependentswilliam-swl
baizer:Useful Functions for Data Processing
In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
Maintained by William Song. Last updated 1 years ago.
dataframenumbersstringstidyverse
5.4 match 6 stars 3.95 score 4 scripts 1 dependentskaskr
RTMB:'R' Bindings for 'TMB'
Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Maintained by Kasper Kristensen. Last updated 4 hours ago.
2.0 match 49 stars 10.12 score 346 scripts 5 dependentschoonghyunryu
dlookr:Tools for Data Diagnosis, Exploration, Transformation
A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.
Maintained by Choonghyun Ryu. Last updated 8 months ago.
1.8 match 211 stars 11.50 score 748 scripts 2 dependentsthothorn
HSAUR:A Handbook of Statistical Analyses Using R (1st Edition)
Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available.
Maintained by Torsten Hothorn. Last updated 3 years ago.
3.3 match 5.94 score 253 scripts 5 dependentsineswilms
bigtime:Sparse Estimation of Large Time Series Models
Estimation of large Vector AutoRegressive (VAR), Vector AutoRegressive with Exogenous Variables X (VARX) and Vector AutoRegressive Moving Average (VARMA) Models with Structured Lasso Penalties, see Nicholson, Wilms, Bien and Matteson (2020) <https://jmlr.org/papers/v21/19-777.html> and Wilms, Basu, Bien and Matteson (2021) <doi:10.1080/01621459.2021.1942013>.
Maintained by Ines Wilms. Last updated 1 years ago.
4.0 match 29 stars 4.92 score 29 scriptstomaskrehlik
frequencyConnectedness:Spectral Decomposition of Connectedness Measures
Accompanies a paper (Barunik, Krehlik (2018) <doi:10.1093/jjfinec/nby001>) dedicated to spectral decomposition of connectedness measures and their interpretation. We implement all the developed estimators as well as the historical counterparts. For more information, see the help or GitHub page (<https://github.com/tomaskrehlik/frequencyConnectedness>) for relevant information.
Maintained by Tomas Krehlik. Last updated 2 years ago.
3.3 match 99 stars 5.87 score 50 scripts 1 dependentsropensci
osmdata:Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Maintained by Mark Padgham. Last updated 2 months ago.
open0street0mapopenstreetmapoverpass0apiosmcpposm-dataoverpass-apipeer-reviewedcpp
1.3 match 317 stars 14.60 score 3.0k scripts 13 dependentscran
AssocBin:Measuring Association with Recursive Binning
An iterative implementation of a recursive binary partitioning algorithm to measure pairwise dependence with a modular design that allows user specification of the splitting logic and stop criteria. Helper functions provide suggested versions of both and support visualization and the computation of summary statistics on final binnings. For a complete description of the functionality and algorithm, see Salahub and Oldford (2023) <doi:10.48550/arXiv.2311.08561>.
Maintained by Chris Salahub. Last updated 1 months ago.
7.4 match 2.60 score 10 scriptsmichaelhallquist
MplusAutomation:An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Maintained by Michael Hallquist. Last updated 15 days ago.
1.5 match 86 stars 12.81 score 664 scripts 12 dependentsgjmvanboxtel
gsignal:Signal Processing
R implementation of the 'Octave' package 'signal', containing a variety of signal processing tools, such as signal generation and measurement, correlation and convolution, filtering, filter design, filter analysis and conversion, power spectrum analysis, system identification, decimation and sample rate change, and windowing.
Maintained by Geert van Boxtel. Last updated 4 months ago.
2.0 match 23 stars 9.60 score 98 scripts 32 dependentsrjacobucci
longRPart2:Recursive Partitioning of Longitudinal Data
Performs recursive partitioning of linear and nonlinear mixed effects models, specifically for longitudinal data. The package is an extension of the original 'longRPart' package by Stewart and Abdolell (2013) <https://cran.r-project.org/package=longRPart>.
Maintained by Ross Jacobucci. Last updated 2 years ago.
7.4 match 2 stars 2.58 score 19 scriptsmd-anderson-bioinformatics
NGCHM:Next Generation Clustered Heat Maps
Next-Generation Clustered Heat Maps (NG-CHMs) allow for dynamic exploration of heat map data in a web browser. 'NGCHM' allows users to create both stand-alone HTML files containing a Next-Generation Clustered Heat Map, and .ngchm files to view in the NG-CHM viewer. See Ryan MC, Stucky M, et al (2020) <doi:10.12688/f1000research.20590.2> for more details.
Maintained by Mary A Rohrdanz. Last updated 1 months ago.
3.5 match 8 stars 5.37 score 28 scriptsbioc
SpliceWiz:interactive analysis and visualization of alternative splicing in R
The analysis and visualization of alternative splicing (AS) events from RNA sequencing data remains challenging. SpliceWiz is a user-friendly and performance-optimized R package for AS analysis, by processing alignment BAM files to quantify read counts across splice junctions, IRFinder-based intron retention quantitation, and supports novel splicing event identification. We introduce a novel visualization for AS using normalized coverage, thereby allowing visualization of differential AS across conditions. SpliceWiz features a shiny-based GUI facilitating interactive data exploration of results including gene ontology enrichment. It is performance optimized with multi-threaded processing of BAM files and a new COV file format for fast recall of sequencing coverage. Overall, SpliceWiz streamlines AS analysis, enabling reliable identification of functionally relevant AS events for further characterization.
Maintained by Alex Chit Hei Wong. Last updated 3 months ago.
softwaretranscriptomicsrnaseqalternativesplicingcoveragedifferentialsplicingdifferentialexpressionguisequencingcppopenmp
2.9 match 16 stars 6.35 score 8 scriptsatsa-es
MARSS:Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstrained linear multivariate autoregressive state-space (MARSS) models, including partially deterministic models. MARSS models are a class of dynamic linear model (DLM) and vector autoregressive model (VAR) model. Fitting available via Expectation-Maximization (EM), BFGS (using optim), and 'TMB' (using the 'marssTMB' companion package). Functions are provided for parametric and innovations bootstrapping, Kalman filtering and smoothing, model selection criteria including bootstrap AICb, confidences intervals via the Hessian approximation or bootstrapping, and all conditional residual types. See the user guide for examples of dynamic factor analysis, dynamic linear models, outlier and shock detection, and multivariate AR-p models. Online workshops (lectures, eBook, and computer labs) at <https://atsa-es.github.io/>.
Maintained by Elizabeth Eli Holmes. Last updated 11 months ago.
multivariate-timeseriesstate-space-modelsstatisticstime-series
1.8 match 52 stars 10.32 score 600 scripts 3 dependentslaresbernardo
lares:Analytics & Machine Learning Sidekick
Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Maintained by Bernardo Lares. Last updated 1 hours ago.
analyticsapiautomationautomldata-sciencedescriptive-statisticsh2omachine-learningmarketingmmmpredictive-modelingpuzzlerlanguagerobynvisualization
1.9 match 233 stars 9.62 score 191 scripts 1 dependentsseankross
swirl:Learn R, in R
Use the R console as an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.
Maintained by Sean Kross. Last updated 5 years ago.
3.4 match 5.35 score 1.8k scripts 1 dependentstlverse
sl3:Pipelines for Machine Learning and Super Learning
A modern implementation of the Super Learner prediction algorithm, coupled with a general purpose framework for composing arbitrary pipelines for machine learning tasks.
Maintained by Jeremy Coyle. Last updated 2 months ago.
data-scienceensemble-learningensemble-modelmachine-learningmodel-selectionregressionstackingstatistics
1.8 match 99 stars 9.94 score 748 scripts 7 dependentsinsightsengineering
formatters:ASCII Formatting for Values and Tables
We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Maintained by Joe Zhu. Last updated 13 days ago.
1.8 match 15 stars 9.92 score 22 scripts 19 dependentsrstudio
keras3:R Interface to 'Keras'
Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Maintained by Tomasz Kalinowski. Last updated 14 days ago.
1.3 match 841 stars 13.38 score 264 scripts 2 dependentstrevorld
getopt:C-Like 'getopt' Behavior
Package designed to be used with Rscript to write '#!' shebang scripts that accept short and long flags/options. Many users will prefer using instead the packages optparse or argparse which add extra features like automatically generated help option and usage, support for default values, positional argument support, etc.
Maintained by Trevor L Davis. Last updated 1 years ago.
2.0 match 13 stars 8.85 score 1.5k scripts 33 dependentsthothorn
HSAUR2:A Handbook of Statistical Analyses Using R (2nd Edition)
Functions, data sets, analyses and examples from the second edition of the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).
Maintained by Torsten Hothorn. Last updated 1 years ago.
3.3 match 5.27 score 181 scripts 1 dependentspredictiveecology
reproducible:Enhance Reproducibility of R Code
A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
Maintained by Eliot J B McIntire. Last updated 13 days ago.
reproducibilityreproducible-research
1.7 match 41 stars 10.23 score 122 scripts 15 dependentskvasilopoulos
exuber:Econometric Analysis of Explosive Time Series
Testing for and dating periods of explosive dynamics (exuberance) in time series using the univariate and panel recursive unit root tests proposed by Phillips et al. (2015) <doi:10.1111/iere.12132> and Pavlidis et al. (2016) <doi:10.1007/s11146-015-9531-2>.The recursive least-squares algorithm utilizes the matrix inversion lemma to avoid matrix inversion which results in significant speed improvements. Simulation of a variety of periodically-collapsing bubble processes. Details can be found in Vasilopoulos et al. (2022) <doi:10.18637/jss.v103.i10>.
Maintained by Kostas Vasilopoulos. Last updated 10 months ago.
dickey-fullerexplosive-dynamicssimulationtime-seriesopenblascpp
2.6 match 28 stars 6.81 score 77 scriptsguifabre
fabR:Wrapper Functions Collection Used in Data Pipelines
The goal of this package is to provide wrapper functions in the data cleaning and cleansing processes. These function helps in messages and interaction with the user, keep track of information in pipelines, help in the wrangling, munging, assessment and visualization of data frame-like material.
Maintained by Guillaume Fabre. Last updated 9 months ago.
3.4 match 1 stars 5.14 score 23 scripts 4 dependentsr-forge
signal:Signal Processing
A set of signal processing functions originally written for 'Matlab' and 'Octave'. Includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions.
Maintained by Uwe Ligges. Last updated 1 years ago.
2.0 match 8.51 score 828 scripts 147 dependentsneonscience
neonUtilities:Utilities for Working with NEON Data
NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Maintained by Claire Lunch. Last updated 2 months ago.
1.7 match 57 stars 10.21 score 944 scripts 15 dependentspredictiveecology
Require:Installing and Loading R Packages for Reproducible Workflows
A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Maintained by Eliot J B McIntire. Last updated 1 months ago.
1.8 match 21 stars 9.33 score 144 scripts 13 dependentsraim
dpseg:Piecewise Linear Segmentation by Dynamic Programming
Piecewise linear segmentation of ordered data by a dynamic programming algorithm. The algorithm was developed for time series data, e.g. growth curves, and for genome-wide read-count data from next generation sequencing, but is broadly applicable. Generic implementations of dynamic programming routines allow to scan for optimal segmentation parameters and test custom segmentation criteria ("scoring functions").
Maintained by Rainer Machne. Last updated 3 months ago.
3.8 match 4.41 score 17 scripts 1 dependentsyulab-smu
scholar:Analyse Citation Data from Google Scholar
Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Maintained by Guangchuang Yu. Last updated 1 years ago.
1.7 match 42 stars 9.59 score 454 scripts 3 dependentsprofyliu
bsnsing:Bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition
The bsnsing package provides functions for training a decision tree classifier, making predictions and generating latex code for plotting. It solves the two-class and multi-class classification problems under the supervised learning paradigm. While building a decision tree, bsnsing uses a Boolean rule involving multiple variables to split a node. Each split rule is identified by solving an optimization problem. Use the bsnsing function to build a tree, the predict function to make predictions and the show function to plot the tree. The paper is at <arXiv:2205.15263>. Source code and more data sets are at <https://github.com/profyliu/bsnsing>.
Maintained by Yanchao Liu. Last updated 3 years ago.
4.4 match 8 stars 3.60 score 1 scriptsstscl
gdverse:Analysis of Spatial Stratified Heterogeneity
Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, while also taking into account local spatial dependencies, spatial interpretability, complex spatial interactions, and robust spatial stratification. Additionally, it supports the spatial stratified heterogeneity family established in academic literature.
Maintained by Wenbo Lv. Last updated 2 days ago.
geographical-detectorgeoinformaticsgeospatial-analysisspatial-statisticsspatial-stratified-heterogeneitycpp
1.8 match 32 stars 8.69 score 41 scripts 1 dependentsrpedigree
pedigreeTools:Versatile Functions for Working with Pedigrees
Tools to sort, edit and prune pedigrees and to extract the inbreeding coefficients and the relationship matrix (includes code for pedigrees from self-pollinated species). The use of pedigree data is central to genetics research within the animal and plant breeding communities to predict breeding values. The relationship matrix between the individuals can be derived from pedigree structure ('Vazquez et al., 2010') <doi:10.2527/jas.2009-1952>.
Maintained by Paulino Perez Rodriguez. Last updated 1 years ago.
3.3 match 11 stars 4.69 score 15 scriptsbioc
monocle:Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.
Maintained by Cole Trapnell. Last updated 3 months ago.
immunooncologysequencingrnaseqgeneexpressiondifferentialexpressioninfrastructuredataimportdatarepresentationvisualizationclusteringmultiplecomparisonqualitycontrolcpp
1.8 match 8.84 score 1.4k scripts 2 dependentsshinytree
shinyTree:jsTree Bindings for Shiny
Exposes bindings to jsTree -- a JavaScript library that supports interactive trees -- to enable a rich, editable trees in Shiny.
Maintained by Michael Bell. Last updated 4 months ago.
1.7 match 143 stars 9.02 score 228 scripts 8 dependentskharchenkolab
leidenAlg:Implements the Leiden Algorithm via an R Interface
An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Maintained by Evan Biederstedt. Last updated 3 months ago.
2.7 match 9 stars 5.81 score 28 scripts 5 dependentsmgirlich
tibblify:Rectangle Nested Lists
A tool to rectangle a nested list, that is to convert it into a tibble. This is done automatically or according to a given specification. A common use case is for nested lists coming from parsing JSON files or the JSON response of REST APIs. It is supported by the 'vctrs' package and therefore offers a wide support of vector types.
Maintained by Maximilian Girlich. Last updated 1 years ago.
1.9 match 68 stars 8.15 score 50 scripts 7 dependentsanimint
animint2:Animated Interactive Grammar of Graphics
Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Maintained by Toby Hocking. Last updated 3 hours ago.
1.7 match 63 stars 8.91 score 192 scriptsjarrodhadfield
MCMCglmm:MCMC Generalised Linear Mixed Models
Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).
Maintained by Jarrod Hadfield. Last updated 1 months ago.
1.8 match 2 stars 8.73 score 1.3k scripts 13 dependentsearowang
hts:Hierarchical and Grouped Time Series
Provides methods for analysing and forecasting hierarchical and grouped time series. The available forecast methods include bottom-up, top-down, optimal combination reconciliation (Hyndman et al. 2011) <doi:10.1016/j.csda.2011.03.006>, and trace minimization reconciliation (Wickramasuriya et al. 2018) <doi:10.1080/01621459.2018.1448825>.
Maintained by Earo Wang. Last updated 28 days ago.
1.6 match 110 stars 9.67 score 214 scripts 5 dependentsheojunoh
RNAmf:Recursive non-additive emulator for multi-fidelity data
Performs RNA emulation and active learning proposed by Heo and Sung (2023+) <arXiv:2309.11772> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Maintained by Junoh Heo. Last updated 7 months ago.
4.5 match 4 stars 3.30 score 1 scriptsr-spatial
link2GI:Linking Geographic Information Systems, Remote Sensing and Other Command Line Tools
Functions and tools for using open GIS and remote sensing command-line interfaces in a reproducible environment.
Maintained by Chris Reudenbach. Last updated 2 months ago.
1.6 match 27 stars 9.05 score 78 scripts 1 dependentsicarda-git
QBMS:Query the Breeding Management System(s)
This R package assists breeders in linking data systems with their analytic pipelines, a crucial step in digitizing breeding processes. It supports querying and retrieving phenotypic and genotypic data from systems like 'EBS' <https://ebs.excellenceinbreeding.org/>, 'BMS' <https://bmspro.io>, 'BreedBase' <https://breedbase.org>, and 'GIGWA' <https://github.com/SouthGreenPlatform/Gigwa2> (using 'BrAPI' <https://brapi.org> calls). Extra helper functions support environmental data sources, including 'TerraClimate' <https://www.climatologylab.org/terraclimate.html> and 'FAO' 'HWSDv2' <https://gaez.fao.org/pages/hwsd> soil database.
Maintained by Khaled Al-Shamaa. Last updated 4 months ago.
1.9 match 8 stars 7.89 score 33 scripts 1 dependentsuptake
pkgnet:Get Network Representation of an R Package
Tools from the domain of graph theory can be used to quantify the complexity and vulnerability to failure of a software package. That is the guiding philosophy of this package. 'pkgnet' provides tools to analyze the dependencies between functions in an R package and between its imported packages. See the pkgnet website for vignettes and other supplementary information.
Maintained by Brian Burns. Last updated 8 months ago.
code-qualitydependency-analysisdependency-graphgraph-theory
1.9 match 157 stars 7.86 score 86 scriptsbioc
preciseTAD:preciseTAD: A machine learning framework for precise TAD boundary prediction
preciseTAD provides functions to predict the location of boundaries of topologically associated domains (TADs) and chromatin loops at base-level resolution. As an input, it takes BED-formatted genomic coordinates of domain boundaries detected from low-resolution Hi-C data, and coordinates of high-resolution genomic annotations from ENCODE or other consortia. preciseTAD employs several feature engineering strategies and resampling techniques to address class imbalance, and trains an optimized random forest model for predicting low-resolution domain boundaries. Translated on a base-level, preciseTAD predicts the probability for each base to be a boundary. Density-based clustering and scalable partitioning techniques are used to detect precise boundary regions and summit points. Compared with low-resolution boundaries, preciseTAD boundaries are highly enriched for CTCF, RAD21, SMC3, and ZNF143 signal and more conserved across cell lines. The pre-trained model can accurately predict boundaries in another cell line using CTCF, RAD21, SMC3, and ZNF143 annotation data for this cell line.
Maintained by Mikhail Dozmorov. Last updated 3 months ago.
softwarehicsequencingclusteringclassificationfunctionalgenomicsfeatureextraction
2.7 match 7 stars 5.29 score 14 scriptsdipterix
dipsaus:A Dipping Sauce for Data Analysis and Visualizations
Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Maintained by Zhengjia Wang. Last updated 1 months ago.
1.8 match 13 stars 7.96 score 86 scripts 3 dependentsbfast2
strucchangeRcpp:Testing, Monitoring, and Dating Structural Changes: C++ Version
A fast implementation with additional experimental features for testing, monitoring and dating structural changes in (linear) regression models. 'strucchangeRcpp' features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g. cumulative/moving sum, recursive/moving estimates) and F statistics, respectively. These methods are described in Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals, and their magnitude as well as the model fit can be evaluated using a variety of statistical measures.
Maintained by Dainius Masiliunas. Last updated 3 months ago.
2.8 match 5 stars 5.18 score 4 scripts 2 dependentsmartin3141
spant:MR Spectroscopy Analysis Tools
Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Maintained by Martin Wilson. Last updated 1 months ago.
brainmrimrsmrshubspectroscopyfortran
1.7 match 23 stars 8.44 score 72 scriptspaytonjjones
networktree:Recursive Partitioning of Network Models
Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data. For details see Jones, Mair, Simon, & Zeileis (2020) <doi:10.1007/s11336-020-09731-4>.
Maintained by Payton Jones. Last updated 2 years ago.
network-analysispsychometricstree-models
3.6 match 13 stars 3.85 score 11 scriptsr-forge
GeneralizedHyperbolic:The Generalized Hyperbolic Distribution
Functions for the hyperbolic and related distributions. Density, distribution and quantile functions and random number generation are provided for the hyperbolic distribution, the generalized hyperbolic distribution, the generalized inverse Gaussian distribution and the skew-Laplace distribution. Additional functionality is provided for the hyperbolic distribution, normal inverse Gaussian distribution and generalized inverse Gaussian distribution, including fitting of these distributions to data. Linear models with hyperbolic errors may be fitted using hyperblmFit.
Maintained by David Scott. Last updated 1 months ago.
1.7 match 1 stars 8.30 score 122 scripts 26 dependentssmart-cities-accelerator
onlineforecast:Forecast Modelling for Online Applications
A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <https://onlineforecasting.org> and the paper "onlineforecast: An R package for adaptive and recursive forecasting" <https://journal.r-project.org/articles/RJ-2023-031/>.
Maintained by Peder Bacher. Last updated 1 years ago.
4.2 match 3 stars 3.28 score 16 scriptsbrry
rdwd:Select and Download Climate Data from 'DWD' (German Weather Service)
Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see <https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more information). Choose observational time series from meteorological stations with 'selectDWD()'. Find raster data from radar and interpolation according to <https://bookdown.org/brry/rdwd/raster-data.html>. Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'. Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Maintained by Berry Boessenkool. Last updated 3 days ago.
1.8 match 72 stars 7.66 score 80 scriptscran
hmmm:Hierarchical Multinomial Marginal Models
Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci, Colombi and Forcina (2007) <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042>. Inequality constraints on the parameters are allowed and can be tested.
Maintained by Roberto Colombi. Last updated 8 months ago.
5.0 match 2.73 score 54 scriptsbioc
simplifyEnrichment:Simplify Functional Enrichment Results
A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.
Maintained by Zuguang Gu. Last updated 3 months ago.
softwarevisualizationgoclusteringgenesetenrichment
1.7 match 112 stars 8.01 score 196 scriptsfriendly
candisc:Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
Maintained by Michael Friendly. Last updated 9 months ago.
dimension-reductionmultivariate-linear-modelsvisualization
1.5 match 15 stars 8.99 score 221 scripts 4 dependentsmomx
Momocs:Morphometrics using R
The goal of 'Momocs' is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometrics analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
Maintained by Vincent Bonhomme. Last updated 1 years ago.
1.8 match 52 stars 7.43 score 346 scriptsskranz
codeUtils:Helper functions for parsing and classifying R code. Useful for domain specific languages.
Very preliminary. May completely change
Maintained by Sebastian Kranz. Last updated 5 years ago.
6.0 match 2.16 score 12 scripts 4 dependentsbiooss
sensitivity:Global Sensitivity Analysis of Model Outputs and Importance Measures
A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
Maintained by Bertrand Iooss. Last updated 5 months ago.
1.9 match 16 stars 6.87 score 476 scripts 8 dependentsyfyang86
kmc:Kaplan-Meier Estimator with Constraints for Right Censored Data -- a Recursive Computational Algorithm
Given constraints for right censored data, we use a recursive computational algorithm to calculate the the "constrained" Kaplan-Meier estimator. The constraint is assumed given in linear estimating equations or mean functions. We also illustrate how this leads to the empirical likelihood ratio test with right censored data and accelerated failure time model with given coefficients. EM algorithm from emplik package is used to get the initial value. The properties and performance of the EM algorithm is discussed in Mai Zhou and Yifan Yang (2015)<doi: 10.1007/s00180-015-0567-9> and Mai Zhou and Yifan Yang (2017) <doi: 10.1002/wics.1400>. More applications could be found in Mai Zhou (2015) <doi: 10.1201/b18598>.
Maintained by Yifan Yang. Last updated 4 months ago.
3.3 match 2 stars 3.90 score 4 scriptsrenkun-ken
rtype:A strong type system for R
A strong type system for R which supports symbol declaration and assignment with type checking and condition checking.
Maintained by Kun Ren. Last updated 10 years ago.
3.0 match 33 stars 4.22 score 5 scriptsalexanderlange53
svars:Data-Driven Identification of SVAR Models
Implements data-driven identification methods for structural vector autoregressive (SVAR) models as described in Lange et al. (2021) <doi:10.18637/jss.v097.i05>. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Maintained by Alexander Lange. Last updated 2 years ago.
1.7 match 45 stars 7.17 score 130 scriptsgdkrmr
dimRed:A Framework for Dimensionality Reduction
A collection of dimensionality reduction techniques from R packages and a common interface for calling the methods.
Maintained by Guido Kraemer. Last updated 2 years ago.
dimensionality-reductionframeworkhigh-dimensional-datamanifold-learningquality-controlvisualization
1.9 match 73 stars 6.53 score 154 scriptsuscbiostats
fmcmc:A friendly MCMC framework
Provides a friendly (flexible) Markov Chain Monte Carlo (MCMC) framework for implementing Metropolis-Hastings algorithm in a modular way allowing users to specify automatic convergence checker, personalized transition kernels, and out-of-the-box multiple MCMC chains using parallel computing. Most of the methods implemented in this package can be found in Brooks et al. (2011, ISBN 9781420079425). Among the methods included, we have: Haario (2001) <doi:10.1007/s11222-011-9269-5> Adaptive Metropolis, Vihola (2012) <doi:10.1007/s11222-011-9269-5> Robust Adaptive Metropolis, and Thawornwattana et al. (2018) <doi:10.1214/17-BA1084> Mirror transition kernels.
Maintained by George Vega Yon. Last updated 1 years ago.
adaptivebayesian-inferencemarkov-chain-monte-carlomcmcmetropolis-hastingsparallel-computing
1.8 match 16 stars 6.79 score 86 scripts 1 dependentsnicolas-robette
moreparty:A Toolbox for Conditional Inference Trees and Random Forests
Additions to 'party' and 'partykit' packages : tools for the interpretation of forests (surrogate trees, prototypes, etc.), feature selection (see Gregorutti et al (2017) <arXiv:1310.5726>, Hapfelmeier and Ulm (2013) <doi:10.1016/j.csda.2012.09.020>, Altmann et al (2010) <doi:10.1093/bioinformatics/btq134>) and parallelized versions of conditional forest and variable importance functions. Also modules and a shiny app for conditional inference trees.
Maintained by Nicolas Robette. Last updated 10 months ago.
2.9 match 3 stars 4.18 score 8 scriptskenhanscombe
ukbtools:Manipulate and Explore UK Biobank Data
A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset from a UKB fileset (.tab, .r, .html), visualize primary demographic data for a sample subset, query ICD diagnoses, retrieve genetic metadata, read and write standard file formats for genetic analyses.
Maintained by Ken Hanscombe. Last updated 2 years ago.
1.8 match 98 stars 6.76 score 118 scriptsbioc
InteractiveComplexHeatmap:Make Interactive Complex Heatmaps
This package can easily make heatmaps which are produced by the ComplexHeatmap package into interactive applications. It provides two types of interactivities: 1. on the interactive graphics device, and 2. on a Shiny app. It also provides functions for integrating the interactive heatmap widgets for more complex Shiny app development.
Maintained by Zuguang Gu. Last updated 3 months ago.
softwarevisualizationsequencinginteractive-heatmaps
1.3 match 130 stars 9.68 score 128 scripts 4 dependentsmurphymv
semEff:Automatic Calculation of Effects for Piecewise Structural Equation Models
Automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck, 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Maintained by Mark V. Murphy. Last updated 4 months ago.
2.0 match 11 stars 6.05 score 26 scriptsbioc
CODEX:A Normalization and Copy Number Variation Detection Method for Whole Exome Sequencing
A normalization and copy number variation calling procedure for whole exome DNA sequencing data. CODEX relies on the availability of multiple samples processed using the same sequencing pipeline for normalization, and does not require matched controls. The normalization model in CODEX includes terms that specifically remove biases due to GC content, exon length and targeting and amplification efficiency, and latent systemic artifacts. CODEX also includes a Poisson likelihood-based recursive segmentation procedure that explicitly models the count-based exome sequencing data.
Maintained by Yuchao Jiang. Last updated 3 months ago.
immunooncologyexomeseqnormalizationqualitycontrolcopynumbervariation
2.3 match 5.30 score 33 scripts 1 dependentskaskr
RTMBp:'R' Bindings for 'TMB'
Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMBp' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Maintained by Kasper Kristensen. Last updated 4 months ago.
2.0 match 49 stars 5.97 score 1 scriptsbioc
MODA:MODA: MOdule Differential Analysis for weighted gene co-expression network
MODA can be used to estimate and construct condition-specific gene co-expression networks, and identify differentially expressed subnetworks as conserved or condition specific modules which are potentially associated with relevant biological processes.
Maintained by Dong Li. Last updated 3 months ago.
geneexpressionmicroarraydifferentialexpressionnetwork
3.6 match 3.30 score 9 scriptsmpierrejean
jointseg:Joint Segmentation of Multivariate (Copy Number) Signals
Methods for fast segmentation of multivariate signals into piecewise constant profiles and for generating realistic copy-number profiles. A typical application is the joint segmentation of total DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism (SNP) microarrays in cancer studies. The methods are described in Pierre-Jean, Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.
Maintained by Morgane Pierre-Jean. Last updated 6 years ago.
1.8 match 6 stars 6.50 score 44 scripts 2 dependentsskranz
RTutor:Interactive R problem sets with automatic testing of solutions and automatic hints
Interactive R problem sets with automatic testing of solutions and automatic hints
Maintained by Sebastian Kranz. Last updated 12 months ago.
economicslearn-to-codeproblem-setrstudiortutorshinyteaching
2.0 match 202 stars 5.81 score 107 scripts 1 dependentsrdinnager
trampoline:Make Functions that Can Recurse Infinitely
Implements a trampoline algorithm for R that let's users write recursive functions that get around R's stack call limitations, enabling theoretically infinite recursion. The algorithm is based around generator function as implemented in the 'coro' package, and is based almost completely on the 'trampoline' module from Python <https://gitlab.com/ferreum/trampoline>.
Maintained by Russell Dinnage. Last updated 3 years ago.
3.8 match 21 stars 3.02 score 8 scriptsbrodieg
vetr:Trust, but Verify
Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Maintained by Brodie Gaslam. Last updated 7 months ago.
argument-checksinput-validation
1.5 match 79 stars 7.50 score 67 scripts 1 dependentsmarkbravington
mvbutils:General utilities, workspace organization, code and docu editing, live package maintenance, etc
Hierarchical workspace tree, code editing and backup, easy package prep, editing of packages while loaded, per-object lazy-loading, easy documentation, macro functions, and miscellaneous utilities. Needed by debug package.
Maintained by Mark V. Bravington. Last updated 2 months ago.
1.8 match 6.35 score 138 scripts 18 dependentscoolbutuseless
ggsvg:SVG Glyphs for Ggplot
Use SVG graphics as glyphs when plotting points with ggplot2.
Maintained by Mike Cheng. Last updated 4 months ago.
1.7 match 140 stars 6.48 score 72 scriptsdiegociccia
rnames:Recursive Display of Items in Nested Lists
Recursive display of names and paths of all the items nested within sublists of a list object.
Maintained by Diego Ciccia. Last updated 10 months ago.
5.3 match 2.08 score 4 dependentsrivolli
utiml:Utilities for Multi-Label Learning
Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.
Maintained by Adriano Rivolli. Last updated 4 years ago.
1.7 match 28 stars 6.39 score 87 scriptskdrachal
fDMA:Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
Maintained by Krzysztof Drachal. Last updated 2 years ago.
2.5 match 3 stars 4.26 score 61 scriptspik-piam
piamInterfaces:Project specific interfaces to REMIND / MAgPIE
Project specific interfaces to REMIND / MAgPIE.
Maintained by Falk Benke. Last updated 5 days ago.
1.6 match 6.45 score 29 scripts 7 dependentshydauer
FlowScreen:Daily Streamflow Trend and Change Point Screening
Screens daily streamflow time series for temporal trends and change-points. This package has been primarily developed for assessing the quality of daily streamflow time series. It also contains tools for plotting and calculating many different streamflow metrics. The package can be used to produce summary screening plots showing change-points and significant temporal trends for high flow, low flow, and/or baseflow statistics, or it can be used to perform more detailed hydrological time series analyses. The package was designed for screening daily streamflow time series from Water Survey Canada and the United States Geological Survey but will also work with streamflow time series from many other agencies.
Maintained by Jennifer Dierauer. Last updated 6 years ago.
5.4 match 1 stars 1.93 score 43 scriptskwb-r
kwb.fakin:Functions Used in Our Fakin Project
This package contains all functions and evaluations related to KWB project "FAKIN". Set the Subversion setting 'enable-auto-props' to 'yes' so that the 'auto-probs' options are considered.
Maintained by Hauke Sonnenberg. Last updated 3 years ago.
project-fakinresearch-data-management
3.0 match 1 stars 3.40 score 1 scriptsrapler
dst:Using the Theory of Belief Functions
Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
Maintained by Peiyuan Zhu. Last updated 1 months ago.
1.7 match 6 stars 5.96 score 126 scriptssourdoughcat
Ramble:Parser Combinator for R
Parser generator for R using combinatory parsers. It is inspired by combinatory parsers developed in Haskell.
Maintained by Chapman Siu. Last updated 8 years ago.
combinatory-parsersparser-combinatorsparsing
1.7 match 22 stars 5.93 score 39 scriptsidslme
IDSL.IPA:Intrinsic Peak Analysis (IPA) for HRMS Data
A multi-layered untargeted pipeline for high-throughput LC/HRMS data processing to extract signals of organic small molecules. The package performs ion pairing, peak detection, peak table alignment, retention time correction, aligned peak table gap filling, peak annotation and visualization of extracted ion chromatograms (EICs) and total ion chromatograms (TICs). The 'IDSL.IPA' package was introduced in <doi:10.1021/acs.jproteome.2c00120> .
Maintained by Dinesh Barupal. Last updated 2 years ago.
exposomefeature-detectionlipidomicsmass-spectrometrymetabolomicspeak-detectionpeak-pickingsmall-moleculeuntargeted-metabolomics
2.0 match 13 stars 4.89 score 1 scripts 4 dependentsbristol-vaccine-centre
interfacer:Define and Enforce Contracts for Dataframes as Function Parameters
A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.
Maintained by Robert Challen. Last updated 2 months ago.
1.5 match 2 stars 6.46 score 12 scripts 2 dependentsdmurdoch
rgl2gltf:Read and Write '.gltf' and '.glb' Files
The 'glTF' file format is used to describe 3D models. This package provides read and write functions to work with it.
Maintained by Duncan Murdoch. Last updated 2 months ago.
1.9 match 8 stars 5.05 score 14 scriptstiledb-inc
tiledbcloud:TileDB Cloud Platform R Client Package
The TileDB Cloud Platform API Client Package offers access to the TileDB Cloud service.
Maintained by John Kerl. Last updated 7 months ago.
1.8 match 1 stars 5.22 score 92 scriptsashesitr
reservr:Fit Distributions and Neural Networks to Censored and Truncated Data
Define distribution families and fit them to interval-censored and interval-truncated data, where the truncation bounds may depend on the individual observation. The defined distributions feature density, probability, sampling and fitting methods as well as efficient implementations of the log-density log f(x) and log-probability log P(x0 <= X <= x1) for use in 'TensorFlow' neural networks via the 'tensorflow' package. Allows training parametric neural networks on interval-censored and interval-truncated data with flexible parameterization. Applications include Claims Development in Non-Life Insurance, e.g. modelling reporting delay distributions from incomplete data, see Bรผcher, Rosenstock (2022) <doi:10.1007/s13385-022-00314-4>.
Maintained by Alexander Rosenstock. Last updated 7 months ago.
1.8 match 5 stars 5.35 score 9 scriptswjunger
mtsdi:Multivariate Time Series Data Imputation
This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.
Maintained by Washington Junger. Last updated 3 years ago.
2.3 match 1 stars 4.00 score 22 scripts 3 dependentssgibb
readBrukerFlexData:Reads Mass Spectrometry Data in Bruker *flex Format
Reads data files acquired by Bruker Daltonics' matrix-assisted laser desorption/ionization-time-of-flight mass spectrometer of the *flex series.
Maintained by Sebastian Gibb. Last updated 4 months ago.
bruker-daltonicsimportmaldi-tof-ms
1.7 match 12 stars 5.30 score 11 scripts 5 dependentsjbryer
TriMatch:Propensity Score Matching of Non-Binary Treatments
Propensity score matching for non-binary treatments.
Maintained by Jason Bryer. Last updated 7 years ago.
1.7 match 13 stars 5.27 score 32 scripts 1 dependentsyhat
yhatr:R Binder for the Yhat API
Deploy, maintain, and invoke models via the Yhat REST API.
Maintained by Greg Lamp. Last updated 8 years ago.
1.8 match 16 stars 4.86 score 57 scriptsigollini
tailloss:Estimate the Probability in the Upper Tail of the Aggregate Loss Distribution
Set of tools to estimate the probability in the upper tail of the aggregate loss distribution using different methods: Panjer recursion, Monte Carlo simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.
Maintained by Isabella Gollini. Last updated 10 years ago.
2.8 match 2 stars 3.11 score 13 scriptsbioc
PWMEnrich:PWM enrichment analysis
A toolkit of high-level functions for DNA motif scanning and enrichment analysis built upon Biostrings. The main functionality is PWM enrichment analysis of already known PWMs (e.g. from databases such as MotifDb), but the package also implements high-level functions for PWM scanning and visualisation. The package does not perform "de novo" motif discovery, but is instead focused on using motifs that are either experimentally derived or computationally constructed by other tools.
Maintained by Diego Diez. Last updated 3 months ago.
motifannotationsequencematchingsoftware
1.7 match 5.08 score 60 scriptsfranciscomartinezdelrio
tsfknn:Time Series Forecasting Using Nearest Neighbors
Allows forecasting time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Maintained by Francisco Martinez. Last updated 1 years ago.
1.5 match 11 stars 5.54 score 63 scriptssgibb
readMzXmlData:Reads Mass Spectrometry Data in mzXML Format
Functions for reading mass spectrometry data in mzXML format.
Maintained by Sebastian Gibb. Last updated 1 years ago.
1.7 match 5 stars 4.83 score 15 scripts 6 dependentsbioc
HPiP:Host-Pathogen Interaction Prediction
HPiP (Host-Pathogen Interaction Prediction) uses an ensemble learning algorithm for prediction of host-pathogen protein-protein interactions (HP-PPIs) using structural and physicochemical descriptors computed from amino acid-composition of host and pathogen proteins.The proposed package can effectively address data shortages and data unavailability for HP-PPI network reconstructions. Moreover, establishing computational frameworks in that regard will reveal mechanistic insights into infectious diseases and suggest potential HP-PPI targets, thus narrowing down the range of possible candidates for subsequent wet-lab experimental validations.
Maintained by Matineh Rahmatbakhsh. Last updated 3 months ago.
proteomicssystemsbiologynetworkinferencestructuralpredictiongenepredictionnetwork
1.7 match 3 stars 4.95 score 6 scriptsjbryer
multilevelPSA:Multilevel Propensity Score Analysis
Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.
Maintained by Jason Bryer. Last updated 5 years ago.
1.7 match 16 stars 4.81 score 80 scriptsropensci
workloopR:Analysis of Work Loops and Other Data from Muscle Physiology Experiments
Functions for the import, transformation, and analysis of data from muscle physiology experiments. The work loop technique is used to evaluate the mechanical work and power output of muscle. Josephson (1985) <doi:10.1242/jeb.114.1.493> modernized the technique for application in comparative biomechanics. Although our initial motivation was to provide functions to analyze work loop experiment data, as we developed the package we incorporated the ability to analyze data from experiments that are often complementary to work loops. There are currently three supported experiment types: work loops, simple twitches, and tetanus trials. Data can be imported directly from .ddf files or via an object constructor function. Through either method, data can then be cleaned or transformed via methods typically used in studies of muscle physiology. Data can then be analyzed to determine the timing and magnitude of force development and relaxation (for isometric trials) or the magnitude of work, net power, and instantaneous power among other things (for work loops). Although we do not provide plotting functions, all resultant objects are designed to be friendly to visualization via either base-R plotting or 'tidyverse' functions. This package has been peer-reviewed by rOpenSci (v. 1.1.0).
Maintained by Vikram B. Baliga. Last updated 6 months ago.
ddfmuscle-forcemuscle-physiology-experimentstetanuswork-loopworkloop
1.3 match 3 stars 5.92 score 46 scriptsnano-optics
terms:T-matrix for Electromagnetic Radiation with Multiple Scatterers
A set of Fortran modules/routines for T-matrix-based calculations of light scattering by clusters of individual scatterers.
Maintained by Baptiste Auguiรฉ. Last updated 6 months ago.
1.2 match 7 stars 6.46 score 828 scriptsskranz
gtree:gtree basic functionality to model and solve games
gtree basic functionality to model and solve games
Maintained by Sebastian Kranz. Last updated 4 years ago.
economic-experimentseconomicsgambitgame-theorynash-equilibrium
2.0 match 18 stars 3.79 score 23 scripts 1 dependentssourdoughcat
binst:Data Preprocessing, Binning for Classification and Regression
Various supervised and unsupervised binning tools including using entropy, recursive partition methods and clustering.
Maintained by Chapman Siu. Last updated 7 years ago.
2.3 match 2 stars 3.36 score 23 scriptsalteryx
promote:Client for the 'Alteryx Promote' API
Deploy, maintain, and invoke predictive models using the 'Alteryx Promote' REST API. 'Alteryx Promote' is available at the URL: <https://www.alteryx.com/products/alteryx-promote>.
Maintained by Paul E. Promote. Last updated 6 years ago.
1.8 match 5 stars 4.14 score 11 scriptscran
FeatureTerminatoR:Feature Selection Engine to Remove Features with Minimal Predictive Power
The aim is to take in data.frame inputs and utilises methods, such as recursive feature engineering, to enable the features to be removed. What this does differently from the other packages, is that it gives you the choice to remove the variables manually, or it automated this process. Feature selection is a concept in machine learning, and statistical pipelines, whereby unimportant, or less predictive variables are eliminated from the analysis, see Boughaci (2018) <doi:10.1007/s40595-018-0107-y>.
Maintained by Gary Hutson. Last updated 4 years ago.
3.7 match 2.00 score 7 scriptsjaviermtzrdz
tidydelta:Estimation of Standard Errors using Delta Method
Delta Method implementation to estimate standard errors with known asymptotic properties within the 'tidyverse' workflow. The Delta Method is a statistical tool that approximates an estimatorโs behaviour using a Taylor Expansion. For a comprehensive explanation, please refer to Chapter 3 of van der Vaart (1998, ISBN: 9780511802256).
Maintained by Javier Martinez-Rodriguez. Last updated 6 months ago.
2.0 match 5 stars 3.70 score 3 scriptsmattheaphy
offsetreg:An Extension of 'Tidymodels' Supporting Offset Terms
Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable the creation of predictive models with offset terms. Models with offsets are most useful when working with count data or when fitting an adjustment model on top of an existing model with a prior expectation. The former situation is common in insurance where data is often weighted by exposures. The latter is common in life insurance where industry mortality tables are often used as a starting point for setting assumptions.
Maintained by Matt Heaphy. Last updated 10 months ago.
1.8 match 4.18 score 4 scriptsfj86
PoissonBinomial:Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalized Poisson binomial distribution.
Maintained by Florian Junge. Last updated 4 months ago.
1.5 match 3 stars 4.86 score 10 scripts 2 dependentscnathe
Rlabkey:Data Exchange Between R and 'LabKey' Server
The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Maintained by Cory Nathe. Last updated 2 months ago.
1.8 match 4.04 score 388 scripts 1 dependentsfranciscomartinezdelrio
tsfgrnn:Time Series Forecasting Using GRNN
A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Maintained by Francisco Martinez. Last updated 11 months ago.
1.5 match 8 stars 4.83 score 17 scriptsdecisionpatterns
optigrab:Command-Line Parsing for an R World
Parse options from the command-line using a simple, clean syntax. It requires little or no specification and supports short and long options, GNU-, Java- or Microsoft- style syntaxes, verb commands and more.
Maintained by Christopher Brown. Last updated 6 years ago.
1.3 match 8 stars 5.80 score 39 scriptsjmm34
bayess:Bayesian Essentials with R
Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.
Maintained by Jean-Michel Marin. Last updated 11 months ago.
1.8 match 3 stars 4.01 score 68 scriptstianxili
HCD:Hierarchical Community Detection by Recursive Partitioning
Hierarchical community detection on networks by a recursive spectral partitioning strategy, which is shown to be effective and efficient in Li, Lei, Bhattacharyya, Sarkar, Bickel, and Levina (2018) <arXiv:1810.01509>. The package also includes a data generating function for a binary tree stochastic block model, a special case of stochastic block model that admits hierarchy between communities.
Maintained by Tianxi Li. Last updated 12 months ago.
7.1 match 1.00 score 5 scriptsfelipeelorrieta
iAR:Irregularly Observed Autoregressive Models
Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).
Maintained by Elorrieta Felipe. Last updated 2 years ago.
6.7 match 1.00 scoreskranz
distRforest:Distribution-based Random Forest
Extension of the rpart package with added loss functions and random forest functionality.
Maintained by Roel Henckaerts. Last updated 5 years ago.
3.7 match 1.78 score 12 scriptsdmkaplan2000
ConnMatTools:Tools for Working with Connectivity Data
Collects several different methods for analyzing and working with connectivity data in R. Though primarily oriented towards marine larval dispersal, many of the methods are general and useful for terrestrial systems as well.
Maintained by David M. Kaplan. Last updated 5 years ago.
1.9 match 3.48 score 60 scriptssciviews
mlearning:Machine Learning Algorithms with Unified Interface and Confusion Matrices
A unified interface is provided to various machine learning algorithms like linear or quadratic discriminant analysis, k-nearest neighbors, random forest, support vector machine, ... It allows to train, test, and apply cross-validation using similar functions and function arguments with a minimalist and clean, formula-based interface. Missing data are processed the same way as base and stats R functions for all algorithms, both in training and testing. Confusion matrices are also provided with a rich set of metrics calculated and a few specific plots.
Maintained by Philippe Grosjean. Last updated 1 years ago.
1.8 match 3.59 score 26 scripts 1 dependentsrenozao
doRNG:Generic Reproducible Parallel Backend for 'foreach' Loops
Provides functions to perform reproducible parallel foreach loops, using independent random streams as generated by L'Ecuyer's combined multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>]. It enables to easily convert standard '%dopar%' loops into fully reproducible loops, independently of the number of workers, the task scheduling strategy, or the chosen parallel environment and associated foreach backend.
Maintained by Renaud Gaujoux. Last updated 2 years ago.
0.5 match 19 stars 12.30 score 4.3k scripts 182 dependentskota7
combiter:Combinatorics Iterators
Provides iterators for combinations, permutations, subsets, and Cartesian product, which allow one to go through all elements without creating a huge set of all possible values.
Maintained by Kota Mori. Last updated 7 years ago.
1.8 match 4 stars 3.56 score 18 scriptscran
onlinePCA:Online Principal Component Analysis
Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.
Maintained by David Degras. Last updated 1 years ago.
3.5 match 2 stars 1.75 score 28 scriptssergioventurini
dmbc:Model Based Clustering of Binary Dissimilarity Measurements
Functions for fitting a Bayesian model for grouping binary dissimilarity matrices in homogeneous clusters. Currently, it includes methods only for binary data (<doi:10.18637/jss.v100.i16>).
Maintained by Sergio Venturini. Last updated 4 months ago.
1.8 match 2 stars 3.48 score 4 scriptseddelbuettel
drat:'Drat' R Archive Template
Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Maintained by Dirk Eddelbuettel. Last updated 21 days ago.
0.5 match 153 stars 11.76 score 112 scripts 11 dependentsframverse
TAMMsupport:Streamline working with Terminal Area Management Modules
A convenient tool for interfacing with Terminal Area Manamagement Modules (TAMMs) in R environments.
Maintained by Collin Edwards. Last updated 14 days ago.
1.8 match 3 stars 3.35 score 5 scriptscran
symmoments:Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution
Symbolic central and non-central moments of the multivariate normal distribution. Computes a standard representation, LateX code, and values at specified mean and covariance matrices.
Maintained by Kem Phillips. Last updated 5 years ago.
1.8 match 3.26 score 20 scripts 3 dependentsr-forge
randtoolbox:Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm (<doi:10.1007/978-3-540-74496-2_36>) and WELL (<doi:10.1145/1132973.1132974>) generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test, see, e.g., Gentle (2003) <doi:10.1007/b97336>. Take a look at the Distribution task view of types and tests of random number generators. The package can be provided without the 'rngWELL' dependency on demand. Package in Memoriam of Diethelm and Barbara Wuertz.
Maintained by Christophe Dutang. Last updated 1 months ago.
0.5 match 1 stars 11.46 score 578 scripts 85 dependentsgk-crop
rdav:Simple 'WebDAV' Client
A simple 'WebDAV' client that provides functions to fetch and send files or folders to a 'WebDAV' server. It does not support the full 'WebDAV' protocol.
Maintained by Gunther Krauss. Last updated 2 months ago.
1.8 match 3.30 score 3 scriptswenjie2wang
splines2:Regression Spline Functions and Classes
Constructs basis functions of B-splines, M-splines, I-splines, convex splines (C-splines), periodic splines, natural cubic splines, generalized Bernstein polynomials, their derivatives, and integrals (except C-splines) by closed-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See Wang and Yan (2021) <doi:10.6339/21-JDS1020> for details.
Maintained by Wenjie Wang. Last updated 5 months ago.
derivativeintegralrcppsplinesopenblascpp
0.5 match 42 stars 11.00 score 394 scripts 28 dependentskwb-r
fakin.path.app:Shiny App to Visualise File Paths
This package contains an R Shiny App that loads file path information from a file and displays the paths in different ways. The aim of the app is to find weaknesses in the folder structure.
Maintained by Hauke Sonnenberg. Last updated 4 years ago.
path-analysisproject-fakinshiny-app
1.7 match 3.18 score 1 scripts 1 dependents