Showing 200 of total 319 results (show query)
tsutatsuta
WARN:Weaning Age Reconstruction with Nitrogen Isotope Analysis
This estimates precise weaning ages for a given skeletal population by analyzing the stable nitrogen isotope ratios of them. Bone collagen turnover rates estimated anew and the approximate Bayesian computation (ABC) were adopted in this package.
Maintained by Takumi Tsutaya. Last updated 8 months ago.
58.3 match 3.30 score 10 scripts
r-lib
rlang:Functions for Base Types and Core R and 'Tidyverse' Features
A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Maintained by Lionel Henry. Last updated 19 days ago.
7.1 match 517 stars 20.53 score 9.8k scripts 15k dependentsr-lib
testthat:Unit Testing for R
Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Maintained by Hadley Wickham. Last updated 16 days ago.
5.5 match 900 stars 20.97 score 74k scripts 465 dependents
spatial-ews
spatialwarnings:Spatial Early Warning Signals of Ecosystem Degradation
Tools to compute and assess significance of early-warnings signals (EWS) of ecosystem degradation on raster data sets. EWS are spatial metrics derived from raster data -- e.g. spatial autocorrelation -- that increase before an ecosystem undergoes a non-linear transition (Genin et al. (2018) <doi:10.1111/2041-210X.13058>).
Maintained by Alexandre Genin. Last updated 6 months ago.
catastrophiccriticalecologyindicatorspointsshiftsspacetransitionscpp
21.1 match 15 stars 5.32 score 46 scripts
henrikbengtsson
R.utils:Various Programming Utilities
Utility functions useful when programming and developing R packages.
Maintained by Henrik Bengtsson. Last updated 1 years ago.
7.5 match 63 stars 13.74 score 5.7k scripts 814 dependents
coatless-rpkg
errorist:Automatically Search Errors or Warnings
Provides environment hooks that obtain errors and warnings which occur during the execution of code to automatically search for solutions.
Maintained by James Balamuta. Last updated 1 years ago.
error-handlingerrorsr-programmingsearch-enginewarnings
17.0 match 27 stars 5.24 score 13 scripts
daroczig
logger:A Lightweight, Modern and Flexible Logging Utility
Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Maintained by Gergely Darรณczi. Last updated 2 months ago.
5.1 match 298 stars 16.88 score 1.5k scripts 98 dependents
spatstat
spatstat.geom:Geometrical Functionality of the 'spatstat' Family
Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Maintained by Adrian Baddeley. Last updated 2 days ago.
classes-and-objectsdistance-calculationgeometrygeometry-processingimagesmensurationplottingpoint-patternsspatial-dataspatial-data-analysis
7.0 match 7 stars 12.11 score 241 scripts 227 dependents
r-gregmisc
gmodels:Various R Programming Tools for Model Fitting
Various R programming tools for model fitting.
Maintained by Gregory R. Warnes. Last updated 3 months ago.
8.2 match 1 stars 10.01 score 3.5k scripts 30 dependents
colinfay
attempt:Tools for Defensive Programming
Tools for defensive programming, inspired by 'purrr' mappers and based on 'rlang'.'attempt' extends and facilitates defensive programming by providing a consistent grammar, and provides a set of easy to use functions for common tests and conditions. 'attempt' only depends on 'rlang', and focuses on speed, so it can be easily integrated in other functions and used in data analysis.
Maintained by Colin Fay. Last updated 7 months ago.
6.5 match 126 stars 11.57 score 101 scripts 86 dependents
philchalmers
SimDesign:Structure for Organizing Monte Carlo Simulation Designs
Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Maintained by Phil Chalmers. Last updated 16 hours ago.
monte-carlo-simulationsimulationsimulation-framework
5.5 match 62 stars 13.36 score 253 scripts 46 dependents
dbosak01
logr:Creates Log Files
Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Maintained by David Bosak. Last updated 1 months ago.
6.9 match 13 stars 10.03 score 265 scripts 3 dependentsr-lib
cli:Helpers for Developing Command Line Interfaces
A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Maintained by Gรกbor Csรกrdi. Last updated 1 days ago.
3.5 match 664 stars 19.33 score 1.4k scripts 14k dependents
tidyverse
modelr:Modelling Functions that Work with the Pipe
Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.
Maintained by Hadley Wickham. Last updated 1 years ago.
4.1 match 401 stars 16.44 score 6.9k scripts 1.0k dependentsr-lib
lifecycle:Manage the Life Cycle of your Package Functions
Manage the life cycle of your exported functions with shared conventions, documentation badges, and user-friendly deprecation warnings.
Maintained by Lionel Henry. Last updated 26 days ago.
4.2 match 95 stars 15.84 score 54 scripts 14k dependents
poissonconsulting
err:Customizable Object Sensitive Messages
Messages should provide users with readable information about R objects without flooding their console. 'cc()' concatenates vector and data frame values into a grammatically correct string using commas, an ellipsis and conjunction. 'cn()' allows the user to define a string which varies based on a count. 'co()' combines the two to produce a customizable object aware string. The package further facilitates this process by providing five 'sprintf'-like types such as '%n' for the length of an object and '%o' for its name as well as wrappers for pasting objects and issuing errors, warnings and messages.
Maintained by Joe Thorley. Last updated 2 months ago.
13.5 match 7 stars 4.80 score 50 scripts 2 dependents
rdatatable
data.table:Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Maintained by Tyson Barrett. Last updated 2 days ago.
2.7 match 3.7k stars 23.53 score 230k scripts 4.6k dependents
devopifex
erratum:Handle Error and Warning Messages
Elegantly handle error and warning messages.
Maintained by John Coene. Last updated 1 years ago.
20.7 match 22 stars 3.04 score 5 scripts
mazamascience
MazamaCoreUtils:Utility Functions for Production R Code
A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Maintained by Jonathan Callahan. Last updated 3 months ago.
7.8 match 4 stars 7.76 score 119 scripts 5 dependents
rich-iannone
messaging:Conveniently Issue Messages, Warnings, and Errors
Provides tools for creating and issuing nicely-formatted text within R diagnostic messages and those messages given during warnings and errors. The formatting of the messages can be customized using templating features. Issues with singular and plural forms can be handled through specialized syntax.
Maintained by Richard Iannone. Last updated 7 years ago.
errorsfunctionsmessageswarnings
15.4 match 12 stars 3.86 score 12 scripts
bioc
biodb:biodb, a library and a development framework for connecting to chemical and biological databases
The biodb package provides access to standard remote chemical and biological databases (ChEBI, KEGG, HMDB, ...), as well as to in-house local database files (CSV, SQLite), with easy retrieval of entries, access to web services, search of compounds by mass and/or name, and mass spectra matching for LCMS and MSMS. Its architecture as a development framework facilitates the development of new database connectors for local projects or inside separate published packages.
Maintained by Pierrick Roger. Last updated 5 months ago.
softwareinfrastructuredataimportkeggbiologycheminformaticschemistrydatabasescpp
7.3 match 11 stars 7.85 score 24 scripts 6 dependents
sckott
cowsay:Messages, Warnings, Strings with Ascii Animals
Allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.
Maintained by Scott Chamberlain. Last updated 2 months ago.
5.4 match 320 stars 10.23 score 239 scripts
vdakos
earlywarnings:Early Warning Signals for Critical Transitions in Time Series
The Early-Warning-Signals Toolbox provides methods for estimating statistical changes in time series that can be used for identifying nearby critical transitions.
Maintained by Vasilis Dakos. Last updated 2 years ago.
14.2 match 3.88 score 75 scripts
duncanobrien
EWSmethods:Forecasting Tipping Points at the Community Level
Rolling and expanding window approaches to assessing abundance based early warning signals, non-equilibrium resilience measures, and machine learning. See Dakos et al. (2012) <doi:10.1371/journal.pone.0041010>, Deb et al. (2022) <doi:10.1098/rsos.211475>, Drake and Griffen (2010) <doi:10.1038/nature09389>, Ushio et al. (2018) <doi:10.1038/nature25504> and Weinans et al. (2021) <doi:10.1038/s41598-021-87839-y> for methodological details. Graphical presentation of the outputs are also provided for clear and publishable figures. Visit the 'EWSmethods' website for more information, and tutorials.
Maintained by Duncan OBrien. Last updated 7 months ago.
9.9 match 8 stars 5.51 score 20 scriptsr-gregmisc
mcgibbsit:Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic
Implementation of Warnes & Raftery's MCGibbsit run-length and convergence diagnostic for a set of (not-necessarily independent) Markov Chain Monte Carlo (MCMC) samplers. It combines the quantile estimate error-bounding approach of the Raftery and Lewis MCMC run length diagnostic `gibbsit` with the between verses within chain approach of the Gelman and Rubin MCMC convergence diagnostic.
Maintained by Gregory R. Warnes. Last updated 1 years ago.
14.6 match 3.70 score 7 scripts
cran
futile.logger:A Logging Utility for R
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Maintained by Brian Lee Yung Rowe. Last updated 9 years ago.
5.6 match 9.32 score 1.7k scripts 1.2k dependents
warnes
genetics:Population Genetics
Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ...
Maintained by Gregory Warnes. Last updated 4 years ago.
9.2 match 2 stars 5.55 score 374 scripts 5 dependentsr-lib
evaluate:Parsing and Evaluation Tools that Provide More Details than the Default
Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Maintained by Hadley Wickham. Last updated 2 months ago.
3.0 match 135 stars 16.14 score 183 scripts 4.5k dependentsbioc
ChromSCape:Analysis of single-cell epigenomics datasets with a Shiny App
ChromSCape - Chromatin landscape profiling for Single Cells - is a ready-to-launch user-friendly Shiny Application for the analysis of single-cell epigenomics datasets (scChIP-seq, scATAC-seq, scCUT&Tag, ...) from aligned data to differential analysis & gene set enrichment analysis. It is highly interactive, enables users to save their analysis and covers a wide range of analytical steps: QC, preprocessing, filtering, batch correction, dimensionality reduction, vizualisation, clustering, differential analysis and gene set analysis.
Maintained by Pacome Prompsy. Last updated 5 months ago.
shinyappssoftwaresinglecellchipseqatacseqmethylseqclassificationclusteringepigeneticsprincipalcomponentannotationbatcheffectmultiplecomparisonnormalizationpathwayspreprocessingqualitycontrolreportwritingvisualizationgenesetenrichmentdifferentialpeakcallingepigenomicsshinysingle-cellcpp
8.2 match 14 stars 5.83 score 16 scripts
lme4
lme4:Linear Mixed-Effects Models using 'Eigen' and S4
Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Maintained by Ben Bolker. Last updated 3 days ago.
2.3 match 647 stars 20.69 score 35k scripts 1.5k dependents
markbravington
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 6 days ago.
7.0 match 6.53 score 138 scripts 18 dependents
snoweye
pbdMPI:R Interface to MPI for HPC Clusters (Programming with Big Data Project)
A simplified, efficient, interface to MPI for HPC clusters. It is a derivation and rethinking of the Rmpi package. pbdMPI embraces the prevalent parallel programming style on HPC clusters. Beyond the interface, a collection of functions for global work with distributed data and resource-independent RNG reproducibility is included. It is based on S4 classes and methods.
Maintained by Wei-Chen Chen. Last updated 6 months ago.
6.4 match 2 stars 7.11 score 179 scripts 3 dependentsbioc
MAST:Model-based Analysis of Single Cell Transcriptomics
Methods and models for handling zero-inflated single cell assay data.
Maintained by Andrew McDavid. Last updated 5 months ago.
geneexpressiondifferentialexpressiongenesetenrichmentrnaseqtranscriptomicssinglecell
3.5 match 230 stars 12.75 score 1.8k scripts 5 dependents
pecanproject
PEcAn.logger:Logger Functions for 'PEcAn'
Convenience functions for logging outputs from 'PEcAn', the Predictive Ecosystem Analyzer (LeBauer et al. 2017) <doi:10.1890/12-0137.1>. Enables the user to set what level of messages are printed, as well as whether these messages are written to the console, a file, or both. It also allows control over whether severe errors should stop execution of the 'PEcAn' workflow; this allows strictness when debugging and lenience when running large batches of simulations that should not be terminated by errors in individual models. It is loosely based on the 'log4j' package.
Maintained by Rob Kooper. Last updated 2 days ago.
bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants
4.3 match 216 stars 9.64 score 7 scripts 40 dependents
blernermhc
provDebugR:A Time-Travelling Debugger
Uses provenance post-execution to help the user understand and debug their script by providing functions to look at intermediate steps and data values, their forwards and backwards lineage, and to understand the steps leading up to warning and error messages. 'provDebugR' uses provenance produced by 'rdtLite' (available on CRAN), stored in PROV-JSON format.
Maintained by Barbara Lerner. Last updated 4 years ago.
11.2 match 3.64 score 22 scripts
pik-piam
GDPuc:Easily Convert GDP Data
Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.
Maintained by Johannes Koch. Last updated 5 months ago.
5.1 match 1 stars 7.86 score 20 scripts 25 dependents
eu-ecdc
epitweetr:Early Detection of Public Health Threats from 'Twitter' Data
It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information is available in the 'epitweetr' peer-review publication (doi:10.2807/1560-7917.ES.2022.27.39.2200177).
Maintained by Laura Espinosa. Last updated 1 years ago.
early-warning-systemsepidemic-surveillancelucenemachine-learningsignal-detectionsparktwitter
6.7 match 56 stars 5.98 score 86 scripts
mihaiconstantin
parabar:Progress Bar for Parallel Tasks
A simple interface in the form of R6 classes for executing tasks in parallel, tracking their progress, and displaying accurate progress bars.
Maintained by Mihai Constantin. Last updated 3 months ago.
parallel-computingprogress-bar
5.3 match 20 stars 7.56 score 20 scripts 5 dependents
rstudio
reticulate:Interface to 'Python'
Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Maintained by Tomasz Kalinowski. Last updated 2 days ago.
1.9 match 1.7k stars 21.07 score 18k scripts 427 dependents
opisthokonta
implied:Convert Between Bookmaker Odds and Probabilities
Convert between bookmaker odds and probabilities. Eight different algorithms are available, including basic normalization, Shin's method (Hyun Song Shin, (1992) <doi:10.2307/2234526>), and others.
Maintained by Jonas Christoffer Lindstrรธm. Last updated 2 years ago.
5.7 match 9 stars 6.79 score 9 scripts
stan-dev
cmdstanr:R Interface to 'CmdStan'
A lightweight interface to 'Stan' <https://mc-stan.org>. The 'CmdStanR' interface is an alternative to 'RStan' that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via 'Rcpp'. This has many benefits including always being compatible with the latest version of Stan, fewer installation errors, fewer unexpected crashes in RStudio, and a more permissive license.
Maintained by Andrew Johnson. Last updated 9 months ago.
bayesbayesianmarkov-chain-monte-carlomaximum-likelihoodmcmcstanvariational-inference
3.1 match 145 stars 12.27 score 5.2k scripts 9 dependentsbioc
ngsReports:Load FastqQC reports and other NGS related files
This package provides methods and object classes for parsing FastQC reports and output summaries from other NGS tools into R. As well as parsing files, multiple plotting methods have been implemented for visualising the parsed data. Plots can be generated as static ggplot objects or interactive plotly objects.
Maintained by Stevie Pederson. Last updated 5 months ago.
4.8 match 22 stars 7.89 score 99 scripts
nlmixr2
rxode2:Facilities for Simulating from ODE-Based Models
Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Maintained by Matthew L. Fidler. Last updated 30 days ago.
3.4 match 40 stars 11.24 score 220 scripts 13 dependents
padrinodb
Rpadrino:Interact with the 'PADRINO' IPM Database
'PADRINO' houses textual representations of Integral Projection Models which can be converted from their table format into full kernels to reproduce or extend an already published analysis. 'Rpadrino' is an R interface to this database. For more information on Integral Projection Models, see Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information on 'ipmr', the engine that powers model reconstruction <doi:10.1111/2041-210X.13683>.
Maintained by Sam Levin. Last updated 1 years ago.
7.9 match 2 stars 4.78 score 15 scripts
jknowles
merTools:Tools for Analyzing Mixed Effect Regression Models
Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.
Maintained by Jared E. Knowles. Last updated 1 years ago.
3.6 match 105 stars 10.49 score 768 scripts
data-cleaning
validate:Data Validation Infrastructure
Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Maintained by Mark van der Loo. Last updated 12 days ago.
3.0 match 418 stars 12.50 score 448 scripts 9 dependents
tidymodels
recipes:Preprocessing and Feature Engineering Steps for Modeling
A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Maintained by Max Kuhn. Last updated 6 days ago.
2.0 match 584 stars 18.71 score 7.2k scripts 380 dependentshenrikbengtsson
startup:Friendly R Startup Configuration
Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Maintained by Henrik Bengtsson. Last updated 3 months ago.
configurationenvironment-variablesstartuputility
5.6 match 166 stars 6.54 score 16 scriptsr-lib
log4r:A Fast and Lightweight Logging System for R, Based on 'log4j'
The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated 'log4j' system and etymology.
Maintained by Aaron Jacobs. Last updated 5 months ago.
3.3 match 95 stars 10.89 score 217 scripts 15 dependents
iagogv3
trouBBlme4SolveR:Troubles Solver for 'lme4'
The main function of the package aims to update 'lmer()'/'glmer()' models depending on their warnings, so trying to avoid convergence and singularity problems.
Maintained by Iago Ginรฉ-Vรกzquez. Last updated 7 months ago.
8.9 match 4.00 score 4 scripts
pedscience
clinicalsignificance:A Toolbox for Clinical Significance Analyses in Intervention Studies
A clinical significance analysis can be used to determine if an intervention has a meaningful or practical effect for patients. You provide a tidy data set plus a few more metrics and this package will take care of it to make your results publication ready. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>.
Maintained by Benedikt Claus. Last updated 3 months ago.
7.5 match 1 stars 4.70 score 20 scriptsbioc
ssize:Estimate Microarray Sample Size
Functions for computing and displaying sample size information for gene expression arrays.
Maintained by Gregory R. Warnes. Last updated 5 months ago.
microarraydifferentialexpression
8.4 match 4.18 score 15 scripts
easystats
insight:Easy Access to Model Information for Various Model Objects
A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Maintained by Daniel Lรผdecke. Last updated 5 days ago.
easystatshacktoberfestinsightmodelsnamespredictorsrandom
2.0 match 412 stars 17.24 score 568 scripts 210 dependentsr-lib
vctrs:Vector Helpers
Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Maintained by Davis Vaughan. Last updated 5 months ago.
1.8 match 290 stars 18.97 score 1.1k scripts 13k dependents
glmmtmb
glmmTMB:Generalized Linear Mixed Models using Template Model Builder
Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
Maintained by Mollie Brooks. Last updated 11 days ago.
2.0 match 312 stars 16.77 score 3.7k scripts 24 dependents
animint
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 27 days ago.
3.7 match 64 stars 8.87 score 173 scripts
nhs-r-community
NHSRdatasets:NHS and Healthcare-Related Data for Education and Training
Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.
Maintained by Zoรซ Turner. Last updated 3 months ago.
3.5 match 70 stars 9.26 score 166 scripts
meo265
loggit2:Easy-to-Use, Dependencyless Logger
An easy-to-use 'ndjson' (newline-delimited 'JSON') logger. It provides a set of wrappers for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an 'ndjson' log file. No change in existing code is necessary to use this package, and only a few additional adjustments are needed to fully utilize its potential.
Maintained by Matthias Ollech. Last updated 8 days ago.
5.5 match 2 stars 5.75 score 1 scriptscran
boot:Bootstrap Functions (Originally by Angelo Canty for S)
Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Maintained by Alessandra R. Brazzale. Last updated 7 months ago.
3.8 match 2 stars 8.21 score 2.3k dependents
pharmar
riskmetric:Risk Metrics to Evaluating R Packages
Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Maintained by Eli Miller. Last updated 9 days ago.
3.4 match 167 stars 8.89 score 43 scripts
tsostarics
contrastable:Consistent Contrast Coding for Factors
Quickly set and summarize contrasts for factors prior to regression analyses. Intended comparisons, baseline conditions, and intercepts can be explicitly set and documented without the user needing to directly manipulate matrices. Reviews and introductions for contrast coding are available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad et al. (2020)<doi:10.1016/j.jml.2019.104038>.
Maintained by Thomas Sostarics. Last updated 2 months ago.
5.3 match 5.69 score 22 scripts
radiant-rstats
radiant.data:Data Menu for Radiant: Business Analytics using R and Shiny
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Maintained by Vincent Nijs. Last updated 5 months ago.
3.6 match 54 stars 8.30 score 146 scripts 6 dependents
projectmosaic
mosaicCore:Common Utilities for Other MOSAIC-Family Packages
Common utilities used in other MOSAIC-family packages are collected here.
Maintained by Randall Pruim. Last updated 1 years ago.
4.1 match 1 stars 7.07 score 113 scripts 26 dependents
ropensci
ruODK:An R Client for the ODK Central API
Access and tidy up data from the 'ODK Central' API. 'ODK Central' is a clearinghouse for digitally captured data using ODK <https://docs.getodk.org/central-intro/>. It manages user accounts and permissions, stores form definitions, and allows data collection clients like 'ODK Collect' to connect to it for form download and submission upload. The 'ODK Central' API is documented at <https://docs.getodk.org/central-api/>.
Maintained by Florian W. Mayer. Last updated 4 months ago.
databaseopen-dataodkapidatadatasetodataodata-clientodk-centralopendatakit
3.8 match 42 stars 7.73 score 57 scripts 1 dependents
sinhrks
ggfortify:Data Visualization Tools for Statistical Analysis Results
Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Maintained by Yuan Tang. Last updated 9 months ago.
2.0 match 529 stars 14.49 score 9.1k scripts 22 dependents
rdoctaskforce
pkgcond:Classed Error and Warning Conditions
This provides utilities for creating classed error and warning conditions based on where the error originated.
Maintained by Andrew Redd. Last updated 4 years ago.
5.5 match 5 stars 5.19 score 41 scripts 5 dependents
ohdsi
ParallelLogger:Support for Parallel Computation, Logging, and Function Automation
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Maintained by Martijn Schuemie. Last updated 6 months ago.
3.1 match 12 stars 9.18 score 87 scripts 11 dependents
insightsengineering
teal.code:Code Storage and Execution Class for 'teal' Applications
Introduction of 'qenv' S4 class, that facilitates code execution and reproducibility in 'teal' applications.
Maintained by Dawid Kaledkowski. Last updated 1 months ago.
3.1 match 12 stars 9.03 score 11 scripts 9 dependents
kwb-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 12 months ago.
3.8 match 8 stars 7.33 score 12 scripts 78 dependents
vubiostat
yaml:Methods to Convert R Data to YAML and Back
Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<https://pyyaml.org/wiki/LibYAML>) for R.
Maintained by Shawn Garbett. Last updated 3 months ago.
1.5 match 166 stars 17.74 score 5.2k scripts 5.1k dependents
rickwargo
lrequire:Sources an R "Module" with Caching & Encapsulation, Returning Exported Vars
In the fashion of 'node.js' <https://nodejs.org/>, requires a file, sourcing into the current environment only the variables explicitly specified in the module.exports or exports list variable. If the file was already sourced, the result of the earlier sourcing is returned to the caller.
Maintained by Rick Wargo. Last updated 9 years ago.
7.6 match 3 stars 3.48 score 20 scriptsprojectmosaic
ggformula:Formula Interface to the Grammar of Graphics
Provides a formula interface to 'ggplot2' graphics.
Maintained by Randall Pruim. Last updated 12 months ago.
2.3 match 38 stars 11.60 score 1.7k scripts 25 dependents
dyfanjones
sagemaker.core:Sagemaker core classes, methods and functions
Contains core classes, methods and functions that support `AWS Sagemaker R Software Development Kit (SDK)`.
Maintained by Dyfan Jones. Last updated 3 years ago.
amazon-sagemakerawsmachine-learningsagemakersdk
9.0 match 2.88 score 1 scripts 5 dependents
ryapric
loggit:Modern Logging for the R Ecosystem
An effortless 'ndjson' (newline-delimited 'JSON') logger, with two primary log-writing interfaces. It provides a set of wrappings for base R's message(), warning(), and stop() functions that maintain identical functionality, but also log the handler message to an 'ndjson' log file. 'loggit' also exports its internal 'loggit()' function for powerful and configurable custom logging. No change in existing code is necessary to use this package, and should only require additions to fully leverage the power of the logging system. 'loggit' also provides a log reader for reading an 'ndjson' log file into a data frame, log rotation, and live echo of the 'ndjson' log messages to terminal 'stdout' for log capture by external systems (like containers). 'loggit' is ideal for Shiny apps, data pipelines, modeling work flows, and more. Please see the vignettes for detailed example use cases.
Maintained by Ryan Price. Last updated 3 years ago.
3.5 match 39 stars 7.35 score 38 scripts 5 dependentsinsightsengineering
teal:Exploratory Web Apps for Analyzing Clinical Trials Data
A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.
Maintained by Dawid Kaledkowski. Last updated 21 days ago.
clinical-trialsnestshinywebapp
2.0 match 197 stars 12.68 score 176 scripts 5 dependents
rstudio
connectwidgets:Organize and Curate Your Content Within 'Posit Connect'
A collection of helper functions and 'htmlwidgets' to help publishers curate content collections on 'Posit Connect'. The components, Card, Grid, Table, Search, and Filter can be used to produce a showcase page or gallery contained within a static or interactive R Markdown page.
Maintained by Brian Smith. Last updated 6 months ago.
3.6 match 22 stars 6.80 score 36 scripts
jacob-long
jtools:Analysis and Presentation of Social Scientific Data
This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.
Maintained by Jacob A. Long. Last updated 6 months ago.
1.7 match 167 stars 14.48 score 4.0k scripts 14 dependents
danchaltiel
EDCimport:Import Data from EDC Software
A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
Maintained by Dan Chaltiel. Last updated 6 days ago.
4.0 match 6.01 score 12 scripts
skranz
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 1 years ago.
economicslearn-to-codeproblem-setrstudiortutorshinyteaching
4.0 match 205 stars 5.83 score 111 scripts 1 dependents
chadgoymer
msgr:Extends Messages, Warnings and Errors by Adding Levels and Log Files
Provides new functions info(), warn() and error(), similar to message(), warning() and stop() respectively. However, the new functions can have a 'level' associated with them, so that when executed the global level option determines whether they are shown or not. This allows debug modes, outputting more information. The can also output all messages to a log file.
Maintained by Chad Goymer. Last updated 5 years ago.
13.8 match 1.70 score 1 scriptsbioc
variancePartition:Quantify and interpret drivers of variation in multilevel gene expression experiments
Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.
Maintained by Gabriel E. Hoffman. Last updated 2 months ago.
rnaseqgeneexpressiongenesetenrichmentdifferentialexpressionbatcheffectqualitycontrolregressionepigeneticsfunctionalgenomicstranscriptomicsnormalizationpreprocessingmicroarrayimmunooncologysoftware
2.0 match 7 stars 11.69 score 1.1k scripts 3 dependents
dmurdoch
rgl:3D Visualization Using OpenGL
Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Maintained by Duncan Murdoch. Last updated 2 months ago.
graphicsopenglrglwebgllibglulibglvndlibpnglibx11freetypecpp
1.3 match 91 stars 17.49 score 7.3k scripts 300 dependentsspatstat
spatstat.utils:Utility Functions for 'spatstat'
Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Maintained by Adrian Baddeley. Last updated 2 days ago.
spatial-analysisspatial-dataspatstat
2.0 match 5 stars 11.66 score 134 scripts 248 dependents
ravingmantis
unittest:TAP-Compliant Unit Testing
Concise TAP <http://testanything.org/> compliant unit testing package. Authored tests can be run using CMD check with minimal implementation overhead.
Maintained by Jamie Lentin. Last updated 7 months ago.
3.1 match 4 stars 7.43 score 224 scripts
talgalili
gplots:Various R Programming Tools for Plotting Data
Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('bandplot', 'wapply'), - enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2', 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen', 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to 'stats::lowess' function ('lowess'), - displaying textual data in plots ('textplot', 'sinkplot'), - plotting dots whose size reflects the relative magnitude of the elements ('balloonplot', 'bubbleplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data on same region, with separate axes ('overplot'), - plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing points in an x-y plot so they don't overlap ('space').
Maintained by Tal Galili. Last updated 5 months ago.
1.5 match 13 stars 15.11 score 13k scripts 482 dependents
nceas
rt:Interface to the 'Request Tracker' API
Provides a programmatic interface to the 'Request Tracker' (RT) HTTP API <https://rt-wiki.bestpractical.com/wiki/REST>. 'RT' is a popular ticket tracking system.
Maintained by Bryce Mecum. Last updated 4 years ago.
2.9 match 6 stars 7.98 score 664 scripts
s-fleck
lgr:A Fully Featured Logging Framework
A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', (rotating) files, memory buffers. For extra appenders that support logging to databases, email and push notifications see the the package lgr.app.
Maintained by Stefan Fleck. Last updated 4 months ago.
2.0 match 81 stars 11.29 score 120 scripts 93 dependentspoissonconsulting
chk:Check User-Supplied Function Arguments
For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Maintained by Joe Thorley. Last updated 2 months ago.
1.9 match 48 stars 11.89 score 22 scripts 95 dependentsbioc
qvalue:Q-value estimation for false discovery rate control
This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.
Maintained by John D. Storey. Last updated 5 months ago.
1.6 match 114 stars 14.06 score 3.0k scripts 139 dependents
oliver-wyman-actuarial
easyr:Helpful Functions from Oliver Wyman Actuarial Consulting
Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and work flow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.
Maintained by Bryce Chamberlain. Last updated 1 years ago.
4.5 match 20 stars 4.86 score 18 scripts
r4ss
r4ss:R Code for Stock Synthesis
A collection of R functions for use with Stock Synthesis, a fisheries stock assessment modeling platform written in ADMB by Dr. Richard D. Methot at the NOAA Northwest Fisheries Science Center. The functions include tools for summarizing and plotting results, manipulating files, visualizing model parameterizations, and various other common stock assessment tasks. This version of '{r4ss}' is compatible with Stock Synthesis versions 3.24 through 3.30 (specifically version 3.30.23.1, from December 2024). Support for 3.24 models is only through the core functions for reading output and plotting.
Maintained by Ian G. Taylor. Last updated 5 days ago.
fisheriesfisheries-stock-assessmentstock-synthesis
1.9 match 43 stars 11.38 score 1.0k scripts 2 dependents
berndbischl
BBmisc:Miscellaneous Helper Functions for B. Bischl
Miscellaneous helper functions for and from B. Bischl and some other guys, mainly for package development.
Maintained by Bernd Bischl. Last updated 2 years ago.
2.0 match 20 stars 10.59 score 980 scripts 69 dependents
teunbrand
ggh4x:Hacks for 'ggplot2'
A 'ggplot2' extension that does a variety of little helpful things. The package extends 'ggplot2' facets through customisation, by setting individual scales per panel, resizing panels and providing nested facets. Also allows multiple colour and fill scales per plot. Also hosts a smaller collection of stats, geoms and axis guides.
Maintained by Teun van den Brand. Last updated 3 months ago.
1.5 match 616 stars 13.98 score 4.4k scripts 20 dependentsr-gregmisc
gdata:Various R Programming Tools for Data Manipulation
Various R programming tools for data manipulation, including medical unit conversions, combining objects, character vector operations, factor manipulation, obtaining information about R objects, generating fixed-width format files, extracting components of date & time objects, operations on columns of data frames, matrix operations, operations on vectors, operations on data frames, value of last evaluated expression, and a resample() wrapper for sample() that ensures consistent behavior for both scalar and vector arguments.
Maintained by Arni Magnusson. Last updated 2 months ago.
1.5 match 9 stars 13.62 score 4.5k scripts 124 dependents
tvganesh
cricketr:Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances.
Maintained by Tinniam V Ganesh. Last updated 4 years ago.
3.8 match 62 stars 5.55 score 115 scripts
murrayefford
openCR:Open Population Capture-Recapture
Non-spatial and spatial open-population capture-recapture analysis.
Maintained by Murray Efford. Last updated 5 months ago.
3.3 match 4 stars 5.98 score 53 scripts
privefl
bigstatsr:Statistical Tools for Filebacked Big Matrices
Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more <doi:10.1093/bioinformatics/bty185>.
Maintained by Florian Privรฉ. Last updated 6 months ago.
big-datalarge-matricesmemory-mapped-fileparallel-computingstatistical-methodsopenblascppopenmp
1.9 match 180 stars 10.59 score 394 scripts 16 dependents
kpatera
EVI:Epidemic Volatility Index as an Early-Warning Tool
This is an R package implementing the epidemic volatility index (EVI), as discussed by Kostoulas et. al. (2021) and variations by Pateras et. al. (2023). EVI is a new, conceptually simple, early warning tool for oncoming epidemic waves. EVI is based on the volatility of newly reported cases per unit of time, ideally per day, and issues an early warning when the volatility change rate exceeds a threshold.
Maintained by Konstantinos Pateras. Last updated 1 years ago.
7.3 match 2.70 score 7 scripts
jeroen
V8:Embedded JavaScript and WebAssembly Engine for R
An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Maintained by Jeroen Ooms. Last updated 2 days ago.
1.3 match 201 stars 15.80 score 508 scripts 336 dependentsbioc
CoreGx:Classes and Functions to Serve as the Basis for Other 'Gx' Packages
A collection of functions and classes which serve as the foundation for our lab's suite of R packages, such as 'PharmacoGx' and 'RadioGx'. This package was created to abstract shared functionality from other lab package releases to increase ease of maintainability and reduce code repetition in current and future 'Gx' suite programs. Major features include a 'CoreSet' class, from which 'RadioSet' and 'PharmacoSet' are derived, along with get and set methods for each respective slot. Additional functions related to fitting and plotting dose response curves, quantifying statistical correlation and calculating area under the curve (AUC) or survival fraction (SF) are included. For more details please see the included documentation, as well as: Smirnov, P., Safikhani, Z., El-Hachem, N., Wang, D., She, A., Olsen, C., Freeman, M., Selby, H., Gendoo, D., Grossman, P., Beck, A., Aerts, H., Lupien, M., Goldenberg, A. (2015) <doi:10.1093/bioinformatics/btv723>. Manem, V., Labie, M., Smirnov, P., Kofia, V., Freeman, M., Koritzinksy, M., Abazeed, M., Haibe-Kains, B., Bratman, S. (2018) <doi:10.1101/449793>.
Maintained by Benjamin Haibe-Kains. Last updated 5 months ago.
softwarepharmacogenomicsclassificationsurvival
3.0 match 6.53 score 63 scripts 6 dependentscran
wavethresh:Wavelets Statistics and Transforms
Performs 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.
Maintained by Guy Nason. Last updated 7 months ago.
3.3 match 5.89 score 41 dependents
atsa-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 1 years ago.
multivariate-timeseriesstate-space-modelsstatisticstime-series
1.9 match 52 stars 10.34 score 596 scripts 3 dependents
singmann
afex:Analysis of Factorial Experiments
Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).
Maintained by Henrik Singmann. Last updated 7 months ago.
1.3 match 123 stars 14.50 score 1.4k scripts 15 dependents
fmmattioni
downloadthis:Implement Download Buttons in 'rmarkdown'
Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Maintained by Felipe Mattioni Maturana. Last updated 5 months ago.
2.0 match 146 stars 9.63 score 856 scripts 1 dependents
statnet
statnet.common:Common R Scripts and Utilities Used by the Statnet Project Software
Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Maintained by Pavel N. Krivitsky. Last updated 26 days ago.
1.7 match 8 stars 11.42 score 197 scripts 148 dependents
integrated-inferences
CausalQueries:Make, Update, and Query Binary Causal Models
Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<DOI: 10.1017/9781316718636>) and Pearl, 2009 Causality (<DOI:10.1017/CBO9780511803161>).
Maintained by Till Tietz. Last updated 22 days ago.
bayescausaldagsmixedmethodsstancpp
2.0 match 27 stars 9.03 score 54 scripts
ajrgodfrey
BrailleR:Improved Access for Blind Users
Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
Maintained by A. Jonathan R. Godfrey. Last updated 11 months ago.
2.0 match 123 stars 8.90 score 143 scripts
laresbernardo
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 24 days ago.
analyticsapiautomationautomldata-sciencedescriptive-statisticsh2omachine-learningmarketingmmmpredictive-modelingpuzzlerlanguagerobynvisualization
1.8 match 233 stars 9.84 score 185 scripts 1 dependents
yihui
testit:A Simple Package for Testing R Packages
Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Maintained by Yihui Xie. Last updated 1 years ago.
1.8 match 58 stars 9.96 score 1.1k scripts 15 dependents
biodiverse
unmarked:Models for Data from Unmarked Animals
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Maintained by Ken Kellner. Last updated 1 days ago.
1.3 match 4 stars 13.03 score 652 scripts 12 dependents
cimentadaj
perccalc:Estimate Percentiles from an Ordered Categorical Variable
An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.
Maintained by Jorge Cimentada. Last updated 5 years ago.
3.1 match 4 stars 5.53 score 14 scripts
ankane
rollbar:Error Tracking and Logging
Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.
Maintained by Andrew Kane. Last updated 10 months ago.
4.5 match 12 stars 3.82 score 11 scripts
gobbios
EloSteepness:Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
Maintained by Christof Neumann. Last updated 1 years ago.
4.6 match 3.70 score 5 scripts
lrberge
dreamerr:Error Handling Made Easy
Set of tools to facilitate package development and make R a more user-friendly place. Mostly for developers (or anyone who writes/shares functions). Provides a simple, powerful and flexible way to check the arguments passed to functions. The developer can easily describe the type of argument needed. If the user provides a wrong argument, then an informative error message is prompted with the requested type and the problem clearly stated--saving the user a lot of time in debugging.
Maintained by Laurent Berge. Last updated 5 months ago.
1.8 match 27 stars 9.32 score 16 scripts 32 dependents
inlabru-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 2 days ago.
1.5 match 16 stars 11.18 score 261 scripts 26 dependents
sigbertklinke
HKRbook:Apps and Data for the Book "Introduction to Statistics"
Functions, Shiny apps and data for the book "Introduction to Statistics" by Wolfgang Karl Hรคrdle, Sigbert Klinke, and Bernd Rรถnz (2015) <doi:10.1007/978-3-319-17704-5>.
Maintained by Sigbert Klinke. Last updated 2 years ago.
4.5 match 1 stars 3.70 score
ropenspain
climaemet:Climate AEMET Tools
Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Maintained by Diego Hernangรณmez. Last updated 1 months ago.
aemetclimatedataforecast-apiropenspainsciencespainweather-api
2.0 match 43 stars 8.32 score 59 scripts
whipson
maestro:Orchestration of Data Pipelines
Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Maintained by Will Hipson. Last updated 2 days ago.
1.8 match 117 stars 9.11 score 150 scriptspik-piam
mip:Comparison of multi-model runs
Package contains generic functions to produce comparison plots of multi-model runs.
Maintained by David Klein. Last updated 26 days ago.
2.0 match 1 stars 8.08 score 70 scripts 20 dependents
jbryer
likert:Analysis and Visualization Likert Items
An approach to analyzing Likert response items, with an emphasis on visualizations. The stacked bar plot is the preferred method for presenting Likert results. Tabular results are also implemented along with density plots to assist researchers in determining whether Likert responses can be used quantitatively instead of qualitatively. See the likert(), summary.likert(), and plot.likert() functions to get started.
Maintained by Jason Bryer. Last updated 3 years ago.
1.6 match 310 stars 10.22 score 480 scripts 2 dependents
nashjc
nlsr:Functions for Nonlinear Least Squares Solutions - Updated 2022
Provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with 'singular gradient' messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.
Maintained by John C Nash. Last updated 27 days ago.
2.3 match 7.02 score 94 scripts 5 dependents
eddelbuettel
spdl:Easier Use of 'RcppSpdlog' Functions via Wrapper
Logging functions in 'RcppSpdlog' provide access to the logging functionality from the 'spdlog' 'C++' library. This package offers shorter convenience wrappers for the 'R' functions which match the 'C++' functions, namely via, say, 'spdl::debug()' at the debug level. The actual formatting is done by the 'fmt::format()' function from the 'fmtlib' library (that is also 'std::format()' in 'C++20' or later).
Maintained by Dirk Eddelbuettel. Last updated 10 months ago.
3.3 match 2 stars 4.78 score 1 scripts 6 dependents
hughparsonage
hutils:Miscellaneous R Functions and Aliases
Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere. The name is a portmanteau of 'utils' and the author.
Maintained by Hugh Parsonage. Last updated 2 years ago.
2.0 match 12 stars 7.76 score 219 scripts 8 dependentsbioc
RnBeads:RnBeads
RnBeads facilitates comprehensive analysis of various types of DNA methylation data at the genome scale.
Maintained by Fabian Mueller. Last updated 1 months ago.
dnamethylationmethylationarraymethylseqepigeneticsqualitycontrolpreprocessingbatcheffectdifferentialmethylationsequencingcpgislandimmunooncologytwochanneldataimport
2.3 match 6.85 score 169 scripts 1 dependents
stephen-amori
apmx:Automated Population Pharmacokinetic Dataset Assembly
Automated methods to assemble population PK (pharmacokinetic) and PKPD (pharmacodynamic) datasets for analysis in 'NONMEM' (non-linear mixed effects modeling) by Bauer (2019) <doi:10.1002/psp4.12404>. The package includes functions to build datasets from SDTM (study data tabulation module) <https://www.cdisc.org/standards/foundational/sdtm>, ADaM (analysis dataset module) <https://www.cdisc.org/standards/foundational/adam>, or other dataset formats. The package will combine population datasets, add covariates, and create documentation to support regulatory submission and internal communication.
Maintained by Stephen Amori. Last updated 1 years ago.
3.5 match 5 stars 4.40 score 10 scripts
timelyportfolio
sunburstR:Sunburst 'Htmlwidget'
Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Maintained by Kent Russell. Last updated 2 years ago.
chartd3htmlwidgetsinteractivejavascriptvisualization
1.5 match 210 stars 10.02 score 310 scripts 4 dependents
ax3man
phylopath:Perform Phylogenetic Path Analysis
A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.
Maintained by Wouter van der Bijl. Last updated 6 months ago.
analysiscomparative-methodspathphylogenetics
1.9 match 13 stars 8.10 score 81 scripts 1 dependentsropensci
spatsoc:Group Animal Relocation Data by Spatial and Temporal Relationship
Detects spatial and temporal groups in GPS relocations (Robitaille et al. (2019) <doi:10.1111/2041-210X.13215>). It can be used to convert GPS relocations to gambit-of-the-group format to build proximity-based social networks In addition, the randomizations function provides data-stream randomization methods suitable for GPS data.
Maintained by Alec L. Robitaille. Last updated 1 months ago.
1.5 match 24 stars 9.97 score 145 scripts 3 dependentsbioc
PeacoQC:Peak-based selection of high quality cytometry data
This is a package that includes pre-processing and quality control functions that can remove margin events, compensate and transform the data and that will use PeacoQCSignalStability for quality control. This last function will first detect peaks in each channel of the flowframe. It will remove anomalies based on the IsolationTree function and the MAD outlier detection method. This package can be used for both flow- and mass cytometry data.
Maintained by Annelies Emmaneel. Last updated 5 months ago.
flowcytometryqualitycontrolpreprocessingpeakdetection
2.0 match 16 stars 7.38 score 28 scripts 3 dependentscran
RCurl:General Network (HTTP/FTP/...) Client Interface for R
A wrapper for 'libcurl' <https://curl.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Maintained by CRAN Team. Last updated 8 months ago.
1.8 match 2 stars 8.13 score 1.0k dependents
repboxr
repboxEvaluate:Adaption of evaluate package version 0.23.01 to repbox
Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Maintained by Sebastian Kranz. Last updated 1 years ago.
5.3 match 2.78 score 4 dependentsinsightsengineering
teal.logger:Logging Setup for the 'teal' Family of Packages
Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.
Maintained by Dawid Kaledkowski. Last updated 1 months ago.
1.8 match 5 stars 8.24 score 3 scripts 8 dependents
smartdata-analysis-and-statistics
precmed:Precision Medicine
A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) <doi:10.1080/01621459.2020.1772080>.
Maintained by Thomas Debray. Last updated 5 months ago.
3.4 match 4 stars 4.20 score 4 scriptsbioc
ORFik:Open Reading Frames in Genomics
R package for analysis of transcript and translation features through manipulation of sequence data and NGS data like Ribo-Seq, RNA-Seq, TCP-Seq and CAGE. It is generalized in the sense that any transcript region can be analysed, as the name hints to it was made with investigation of ribosomal patterns over Open Reading Frames (ORFs) as it's primary use case. ORFik is extremely fast through use of C++, data.table and GenomicRanges. Package allows to reassign starts of the transcripts with the use of CAGE-Seq data, automatic shifting of RiboSeq reads, finding of Open Reading Frames for whole genomes and much more.
Maintained by Haakon Tjeldnes. Last updated 27 days ago.
immunooncologysoftwaresequencingriboseqrnaseqfunctionalgenomicscoveragealignmentdataimportcpp
1.3 match 33 stars 10.63 score 115 scripts 2 dependentsbioc
rsbml:R support for SBML, using libsbml
Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.
Maintained by Michael Lawrence. Last updated 18 days ago.
graphandnetworkpathwaysnetworklibsbmlcpp
3.0 match 4.71 score 19 scripts 1 dependents
b-rodrigues
chronicler:Add Logging To Functions
Decorate functions to make them return enhanced output. The enhanced output consists in an object of type 'chronicle' containing the result of the function applied to its arguments, as well as a log detailing when the function was run, what were its inputs, what were the errors (if the function failed to run) and other useful information. Tools to handle decorated functions are included, such as a forward pipe operator that makes chaining decorated functions possible.
Maintained by Bruno Rodrigues. Last updated 11 months ago.
1.9 match 51 stars 7.51 score 35 scriptsbioc
SharedObject:Sharing R objects across multiple R processes without memory duplication
This package is developed for facilitating parallel computing in R. It is capable to create an R object in the shared memory space and share the data across multiple R processes. It avoids the overhead of memory dulplication and data transfer, which make sharing big data object across many clusters possible.
Maintained by Jiefei Wang. Last updated 5 months ago.
2.0 match 45 stars 7.03 score 6 scripts 1 dependents
gabrielodom
mvMonitoring:Multi-State Adaptive Dynamic Principal Component Analysis for Multivariate Process Monitoring
Use multi-state splitting to apply Adaptive-Dynamic PCA (ADPCA) to data generated from a continuous-time multivariate industrial or natural process. Employ PCA-based dimension reduction to extract linear combinations of relevant features, reducing computational burdens. For a description of ADPCA, see <doi:10.1007/s00477-016-1246-2>, the 2016 paper from Kazor et al. The multi-state application of ADPCA is from a manuscript under current revision entitled "Multi-State Multivariate Statistical Process Control" by Odom, Newhart, Cath, and Hering, and is expected to appear in Q1 of 2018.
Maintained by Gabriel Odom. Last updated 1 years ago.
2.7 match 4 stars 5.24 score 29 scripts
hughjonesd
onetime:Run Code Only Once
Allows code to be run only once on a given computer, using lockfiles. Typical use cases include startup messages shown only when a package is loaded for the very first time.
Maintained by David Hugh-Jones. Last updated 2 years ago.
3.8 match 1 stars 3.70 score 7 scripts
davidbolin
rSPDE:Rational Approximations of Fractional Stochastic Partial Differential Equations
Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.1080/10618600.2023.2231051> for the covariance-based method and Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.
Maintained by David Bolin. Last updated 9 days ago.
1.8 match 11 stars 7.57 score 188 scripts 3 dependents
hypertidy
tabularaster:Tidy Tools for 'Raster' Data
Facilities to work with vector and raster data in efficient repeatable and systematic work flow. Missing functionality in existing packages is included here to allow extraction from raster data with 'simple features' and 'Spatial' types and to make extraction consistent and straightforward. Extract cell numbers from raster data and return the cells as a data frame rather than as lists of matrices or vectors. The functions here allow spatial data to be used without special handling for the format currently in use.
Maintained by Michael D. Sumner. Last updated 1 years ago.
2.0 match 49 stars 6.80 score 64 scripts
fishfollower
stockassessment:State-Space Assessment Model
Fitting SAM...
Maintained by Anders Nielsen. Last updated 13 days ago.
1.8 match 49 stars 7.76 score 324 scripts 2 dependents
atorus-research
xportr:Utilities to Output CDISC SDTM/ADaM XPT Files
Tools to build CDISC compliant data sets and check for CDISC compliance.
Maintained by Eli Miller. Last updated 3 months ago.
1.5 match 43 stars 9.01 score 102 scripts
rapporter
rapportools:Miscellaneous (Stats) Helper Functions with Sane Defaults for Reporting
Helper functions that act as wrappers to more advanced statistical methods with the advantage of having sane defaults for quick reporting.
Maintained by Gergely Darรณczi. Last updated 16 days ago.
1.8 match 8 stars 7.50 score 186 scripts 11 dependents
dfe-analytical-services
shinyGovstyle:Custom Gov Style Inputs for Shiny
Collection of 'shiny' application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Maintained by Ross Wyatt. Last updated 2 days ago.
2.0 match 44 stars 6.69 score 25 scripts
dusadrian
admisc:Adrian Dusa's Miscellaneous
Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base functions 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.
Maintained by Adrian Dusa. Last updated 3 days ago.
1.8 match 2 stars 7.61 score 20 scripts 92 dependents
certe-medical-epidemiology
certestats:A Certe R Package for Statistical Modelling
A Certe R Package for early-warning, applying statistical modelling (such as creating machine learning models), QC rules and distribution analysis. This package is part of the 'certedata' universe.
Maintained by Matthijs S. Berends. Last updated 4 months ago.
4.4 match 3.02 score 1 scripts 1 dependents
mrc-ide
naomi:Naomi Model for Subnational HIV Estimates
This package implements the Naomi model for subnational HIV estimates.
Maintained by Jeff Eaton. Last updated 6 days ago.
1.7 match 9 stars 7.74 score 54 scripts 2 dependents
di-laurabyrne
DImodelsMulti:Fit Multivariate Diversity-Interactions Models with Repeated Measures
An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Maintained by Laura Byrne. Last updated 9 months ago.
3.0 match 4.41 score 13 scripts
kharchenkolab
pagoda2:Single Cell Analysis and Differential Expression
Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos, <https://github.com/kharchenkolab/conos>. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/pagoda2>. The size of the 'p2data' package is approximately 6 MB.
Maintained by Evan Biederstedt. Last updated 1 years ago.
scrna-seqsingle-cellsingle-cell-rna-seqtranscriptomicsopenblascppopenmp
1.7 match 222 stars 8.00 score 282 scriptsropensci
beastier:Call 'BEAST2'
'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.
Maintained by Richรจl J.C. Bilderbeek. Last updated 22 days ago.
bayesianbeastbeast2phylogenetic-inferencephylogeneticsopenjdk
1.7 match 11 stars 7.87 score 47 scripts 4 dependents
capitalone
dataCompareR:Compare Two Data Frames and Summarise the Difference
Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them. Aims to offer a more useful output than all.equal() when your two data sets do not match, but isn't intended to replace all.equal() as a way to test for equality.
Maintained by Sarah Johnston. Last updated 2 years ago.
compare-datadatadata-analysisdata-science
1.8 match 76 stars 7.24 score 76 scripts
mrshoenel
mmb:Arbitrary Dependency Mixed Multivariate Bayesian Models
Supports Bayesian models with full and partial (hence arbitrary) dependencies between random variables. Discrete and continuous variables are supported, and conditional joint probabilities and probability densities are estimated using Kernel Density Estimation (KDE). The full general form, which implements an extension to Bayes' theorem, as well as the simple form, which is just a Bayesian network, both support regression through segmentation and KDE and estimation of probability or relative likelihood of discrete or continuous target random variables. This package also provides true statistical distance measures based on Bayesian models. Furthermore, these measures can be facilitated on neighborhood searches, and to estimate the similarity and distance between data points. Related work is by Bayes (1763) <doi:10.1098/rstl.1763.0053> and by Scutari (2010) <doi:10.18637/jss.v035.i03>.
Maintained by Sebastian Hรถnel. Last updated 4 years ago.
bayes-classifierkernel-density-estimationneighborhood-searchregression-models
3.5 match 3.70 score 5 scripts
palaeoverse
palaeoverse:Prepare and Explore Data for Palaeobiological Analyses
Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.
Maintained by Lewis A. Jones. Last updated 5 months ago.
biodiversityfossilpalaeobiologypaleobiology
1.5 match 21 stars 8.57 score 44 scripts 1 dependents
dgkf
ggpackets:Package Plot Layers for Easier Portability and Modularization
Create groups of 'ggplot2' layers that can be easily migrated from one plot to another, reducing redundant code and improving the ability to format many plots that draw from the same source 'ggpacket' layers.
Maintained by Doug Kelkhoff. Last updated 14 days ago.
1.8 match 69 stars 7.34 score 12 scripts 1 dependents
bristol-vaccine-centre
pkgutils:Functions for building functions
A suite of tools for helping in function and package development. This includes functions that check variables for consistency, or help parse out inputs to functions. This has a particular focus on inputs that use formula or `tidyselect` interfaces to define the parts of a dataframe that we might be interested in.
Maintained by Rob Challen. Last updated 12 months ago.
3.6 match 2 stars 3.52 score 11 scripts 1 dependents
tylermorganwall
skpr:Design of Experiments Suite: Generate and Evaluate Optimal Designs
Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Maintained by Tyler Morgan-Wall. Last updated 9 days ago.
design-of-experimentslinear-modelslinear-regressionmonte-carlooptimal-designspowersplit-plot-designssurvival-analysiscpp
1.8 match 118 stars 6.89 score 35 scripts
pmartr
pmartR:Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
Provides functionality for quality control processing and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data, as well as RNA-seq based count data and nuclear magnetic resonance (NMR) data. This includes data transformation, specification of groups that are to be compared against each other, filtering of features and/or samples, data normalization, data summarization (correlation, PCA), and statistical comparisons between defined groups. Implements methods described in: Webb-Robertson et al. (2014) <doi:10.1074/mcp.M113.030932>. Webb-Robertson et al. (2011) <doi:10.1002/pmic.201100078>. Matzke et al. (2011) <doi:10.1093/bioinformatics/btr479>. Matzke et al. (2013) <doi:10.1002/pmic.201200269>. Polpitiya et al. (2008) <doi:10.1093/bioinformatics/btn217>. Webb-Robertson et al. (2010) <doi:10.1021/pr1005247>.
Maintained by Lisa Bramer. Last updated 3 days ago.
data-summarizationlipidsmass-spectrometrymetabolitesmetabolomics-datapeptidesproteinsrna-seq-analysisopenblascpp
1.6 match 40 stars 7.69 score 144 scripts
fbartos
RoBMA:Robust Bayesian Meta-Analyses
A framework for estimating ensembles of meta-analytic and meta-regression models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoลก et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoลก & Wagenmakers, 2022, <doi:10.1037/met0000405>). Users can define a wide range of prior distributions for + the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Maintained by Frantiลกek Bartoลก. Last updated 1 months ago.
meta-analysismodel-averagingpublication-biasjagsopenblascpp
1.8 match 9 stars 6.97 score 53 scripts
ludvigolsen
xpectr:Generates Expectations for 'testthat' Unit Testing
Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
Maintained by Ludvig Renbo Olsen. Last updated 11 days ago.
2.0 match 37 stars 6.06 score 62 scripts
microsoft
wpa:Tools for Analysing and Visualising Viva Insights Data
Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Maintained by Martin Chan. Last updated 4 months ago.
1.8 match 30 stars 6.69 score 39 scripts 1 dependentsbioc
GenomicDistributions:GenomicDistributions: fast analysis of genomic intervals with Bioconductor
If you have a set of genomic ranges, this package can help you with visualization and comparison. It produces several kinds of plots, for example: Chromosome distribution plots, which visualize how your regions are distributed over chromosomes; feature distance distribution plots, which visualizes how your regions are distributed relative to a feature of interest, like Transcription Start Sites (TSSs); genomic partition plots, which visualize how your regions overlap given genomic features such as promoters, introns, exons, or intergenic regions. It also makes it easy to compare one set of ranges to another.
Maintained by Kristyna Kupkova. Last updated 5 months ago.
softwaregenomeannotationgenomeassemblydatarepresentationsequencingcoveragefunctionalgenomicsvisualization
1.6 match 26 stars 7.44 score 25 scripts
jwb133
smcfcs:Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Maintained by Jonathan Bartlett. Last updated 2 days ago.
1.3 match 11 stars 9.00 score 59 scripts 1 dependents
epiverse-trace
cleanepi:Clean and Standardize Epidemiological Data
Cleaning and standardizing tabular data package, tailored specifically for curating epidemiological data. It streamlines various data cleaning tasks that are typically expected when working with datasets in epidemiology. It returns the processed data in the same format, and generates a comprehensive report detailing the outcomes of each cleaning task.
Maintained by Karim Manรฉ. Last updated 2 days ago.
data-cleaningepidemiologyepiverse
1.6 match 9 stars 7.44 score 19 scripts
taikisan21
PAMpal:Load and Process Passive Acoustic Data
Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Maintained by Taiki Sakai. Last updated 13 days ago.
2.0 match 9 stars 5.87 score 79 scriptsdavidbolin
excursions:Excursion Sets and Contour Credibility Regions for Random Fields
Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.
Maintained by David Bolin. Last updated 4 months ago.
1.8 match 3 stars 6.51 score 40 scripts 1 dependentsbioc
HiCDOC:A/B compartment detection and differential analysis
HiCDOC normalizes intrachromosomal Hi-C matrices, uses unsupervised learning to predict A/B compartments from multiple replicates, and detects significant compartment changes between experiment conditions. It provides a collection of functions assembled into a pipeline to filter and normalize the data, predict the compartments and visualize the results. It accepts several type of data: tabular `.tsv` files, Cooler `.cool` or `.mcool` files, Juicer `.hic` files or HiC-Pro `.matrix` and `.bed` files.
Maintained by Maignรฉ รlise. Last updated 3 months ago.
hicdna3dstructurenormalizationsequencingsoftwareclusteringcpp
2.0 match 4 stars 5.86 score 6 scripts 1 dependents
wernerstahel
plgraphics:User Oriented Plotting Functions
Plots with high flexibility and easy handling, including informative regression diagnostics for many models.
Maintained by Werner A. Stahel. Last updated 1 years ago.
5.6 match 2.08 score 12 scripts
mlcollyer
RRPP:Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Maintained by Michael Collyer. Last updated 26 days ago.
1.2 match 4 stars 9.84 score 173 scripts 7 dependents
rogiersbart
rui:A simple set of UI functions
This package provides a wrapper around different cli and usethis functions, aiming at providing a small but consistent set of verbs to construct a simple R package UI.
Maintained by Bart Rogiers. Last updated 9 months ago.
3.3 match 3.48 score 2 dependents
fangzhou-xie
rethnicity:Predicting Ethnic Group from Names
Implementation of the race/ethnicity prediction method, described in "rethnicity: An R package for predicting ethnicity from names" by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <doi:10.48550/arXiv.2109.09228>.
Maintained by Fangzhou Xie. Last updated 4 days ago.
ethnicity-classifierethnicity-predictionlstmcpp
2.0 match 9 stars 5.66 score 17 scriptsropensci
refsplitr:author name disambiguation, author georeferencing, and mapping of coauthorship networks with 'Web of Science' data
Tools to parse and organize reference records downloaded from the 'Web of Science' citation database into an R-friendly format, disambiguate the names of authors, geocode their locations, and generate/visualize coauthorship networks. This package has been peer-reviewed by rOpenSci (v. 1.0).
Maintained by Emilio Bruna. Last updated 7 months ago.
name disambiguationbibliometricscoauthorshipcollaborationgeoreferencingmetasciencereferencesscientometricsscience of scienceweb of science
2.0 match 55 stars 5.64 score 16 scripts
spkaluzny
splus2R:Supplemental S-PLUS Functionality in R
Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.
Maintained by Stephen Kaluzny. Last updated 1 years ago.
1.7 match 1 stars 6.56 score 82 scripts 30 dependentsropensci
lingtypology:Linguistic Typology and Mapping
Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Maintained by George Moroz. Last updated 5 months ago.
abvdafboatlasautotypebivaltypclldglottolog-databaselinguistic-mapslinguisticsphoiblesailstypologywals
1.2 match 51 stars 9.58 score 694 scripts
schlosslab
schtools:Schloss Lab Tools for Reproducible Microbiome Research
A collection of useful functions and example code created and used by the Schloss Lab for reproducible microbiome research. Perform common tasks like read files created by mothur <https://mothur.org/>, tidy up your microbiome data, and format R Markdown documents for publication. See the website <http://www.schlosslab.org/schtools/> for more information, documentation, and examples.
Maintained by Kelly Sovacool. Last updated 2 years ago.
1.7 match 30 stars 6.62 score 35 scripts
ips-lmu
wrassp:Interface to the 'ASSP' Library
A wrapper around Michel Scheffers's 'libassp' (<https://libassp.sourceforge.net/>). The 'libassp' (Advanced Speech Signal Processor) library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of 'libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner.
Maintained by Markus Jochim. Last updated 1 years ago.
1.5 match 24 stars 7.43 score 62 scripts 3 dependents
edwindj
daff:Diff, Patch and Merge for Data.frames
Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff(). The 'V8' package is used to wrap the 'daff.js' 'JavaScript' library which is included in the package.
Maintained by Edwin de Jonge. Last updated 1 years ago.
1.6 match 153 stars 7.10 score 133 scriptsmicrosoft
vivainsights:Analyze and Visualize Data from 'Microsoft Viva Insights'
Provides a versatile range of functions, including exploratory data analysis, time-series analysis, organizational network analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Maintained by Martin Chan. Last updated 23 days ago.
1.8 match 11 stars 6.12 score 68 scriptsropensci
phylotaR:Automated Phylogenetic Sequence Cluster Identification from 'GenBank'
A pipeline for the identification, within taxonomic groups, of orthologous sequence clusters from 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> as the first step in a phylogenetic analysis. The pipeline depends on a local alignment search tool and is, therefore, not dependent on differences in gene naming conventions and naming errors.
Maintained by Shixiang Wang. Last updated 8 months ago.
blastngenbankpeer-reviewedphylogeneticssequence-alignment
1.9 match 23 stars 5.86 score 156 scripts
ethan-young
multitool:Run Multiverse Style Analyses
Run the same analysis over a range of arbitrary data processing decisions. 'multitool' provides an interface for creating alternative analysis pipelines and turning them into a grid of all possible pipelines. Using this grid as a blueprint, you can model your data across all possible pipelines and summarize the results.
Maintained by Ethan Young. Last updated 4 months ago.
1.8 match 1 stars 5.93 score 71 scriptsmrc-ide
epireview:Tools to update and summarise the latest pathogen data from the Pathogen Epidemiology Review Group (PERG)
Contains the latest open access pathogen data from the Pathogen Epidemiology Review Group (PERG). Tools are available to update pathogen databases with new peer-reviewed data as it becomes available, and to summarise the latest data using tables and figures.
Maintained by Sangeeta Bhatia. Last updated 2 days ago.
1.6 match 30 stars 6.76 score 6 scripts
cbielow
PTXQC:Quality Report Generation for MaxQuant and mzTab Results
Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Maintained by Chris Bielow. Last updated 1 years ago.
drag-and-drophacktoberfestheatmapmatch-between-runsmaxquantmetricmztabopenmsproteomicsquality-controlquality-metricsreport
1.1 match 42 stars 9.35 score 105 scripts 1 dependents
canmod
macpan2:Fast and Flexible Compartmental Modelling
Fast and flexible compartmental modelling with Template Model Builder.
Maintained by Steve Walker. Last updated 2 days ago.
compartmental-modelsepidemiologyforecastingmixed-effectsmodel-fittingoptimizationsimulationsimulation-modelingcpp
1.2 match 4 stars 8.89 score 246 scripts 1 dependents
syedhaider5
chicane:Capture Hi-C Analysis Engine
Toolkit for processing and calling interactions in capture Hi-C data. Converts BAM files into counts of reads linking restriction fragments, and identifies pairs of fragments that interact more than expected by chance. Significant interactions are identified by comparing the observed read count to the expected background rate from a count regression model.
Maintained by Syed Haider. Last updated 3 years ago.
3.8 match 2.75 score 28 scripts
jepusto
SingleCaseES:A Calculator for Single-Case Effect Sizes
Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Maintained by James E. Pustejovsky. Last updated 6 months ago.
1.5 match 7 stars 6.87 score 41 scripts 1 dependentsbioc
IsoformSwitchAnalyzeR:Identify, Annotate and Visualize Isoform Switches with Functional Consequences from both short- and long-read RNA-seq data
Analysis of alternative splicing and isoform switches with predicted functional consequences (e.g. gain/loss of protein domains etc.) from quantification of all types of RNASeq by tools such as Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.
Maintained by Kristoffer Vitting-Seerup. Last updated 5 months ago.
geneexpressiontranscriptionalternativesplicingdifferentialexpressiondifferentialsplicingvisualizationstatisticalmethodtranscriptomevariantbiomedicalinformaticsfunctionalgenomicssystemsbiologytranscriptomicsrnaseqannotationfunctionalpredictiongenepredictiondataimportmultiplecomparisonbatcheffectimmunooncology
1.1 match 108 stars 9.26 score 125 scripts
weirichs
eatTools:Miscellaneous Functions for the Analysis of Educational Assessments
Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
Maintained by Sebastian Weirich. Last updated 3 months ago.
1.9 match 2 stars 5.38 score 11 scripts 2 dependentsbioc
oposSOM:Comprehensive analysis of transcriptome data
This package translates microarray expression data into metadata of reduced dimension. It provides various sample-centered and group-centered visualizations, sample similarity analyses and functional enrichment analyses. The underlying SOM algorithm combines feature clustering, multidimensional scaling and dimension reduction, along with strong visualization capabilities. It enables extraction and description of functional expression modules inherent in the data.
Maintained by Henry Loeffler-Wirth. Last updated 5 months ago.
geneexpressiondifferentialexpressiongenesetenrichmentdatarepresentationvisualizationcpp
2.3 match 4.48 score 7 scripts
mastoffel
partR2:Partitioning R2 in GLMMs
Partitioning the R2 of GLMMs into variation explained by each predictor and combination of predictors using semi-partial (part) R2 and inclusive R2. Methods are based on the R2 for GLMMs described in Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).
Maintained by Martin A. Stoffel. Last updated 6 months ago.
1.5 match 22 stars 6.68 score 73 scripts
thermostats
RVA:RNAseq Visualization Automation
Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.
Maintained by Xingpeng Li. Last updated 3 years ago.
1.8 match 9 stars 5.65 score 6 scripts
overton-group
eHDPrep:Quality Control and Semantic Enrichment of Datasets
A tool for the preparation and enrichment of health datasets for analysis (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset. 'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.
Maintained by Ian Overton. Last updated 2 years ago.
data-qualityhealth-informaticssemantic-enrichment
2.0 match 8 stars 4.90 score 10 scripts
zpneal
childfree:Access and Harmonize Childfree Demographic Data
Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.
Maintained by Zachary Neal. Last updated 6 months ago.
2.0 match 4.85 score 1 scripts
sellorm
rlog:A Simple, Opinionated Logging Utility
A very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, 'rlog' provides a compact feature set that focuses on getting the job done in a Unix-like way.
Maintained by Mark Sellors. Last updated 3 years ago.
2.0 match 19 stars 4.81 score 68 scripts
vivienroussez
autoTS:Automatic Model Selection and Prediction for Univariate Time Series
Offers a set of functions to easily make predictions for univariate time series. 'autoTS' is a wrapper of existing functions of the 'forecast' and 'prophet' packages, harmonising their outputs in tidy dataframes and using default values for each. The core function getBestModel() allows the user to effortlessly benchmark seven algorithms along with a bagged estimator to identify which one performs the best for a given time series.
Maintained by Vivien Roussez. Last updated 5 years ago.
2.0 match 10 stars 4.78 score 12 scripts