Showing 30 of total 30 results (show query)
r-lib
lintr:A 'Linter' for R Code
Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Maintained by Michael Chirico. Last updated 9 days ago.
5.1 match 1.2k stars 17.00 score 916 scripts 33 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 0 hours ago.
2.3 match 3.7k stars 23.52 score 230k scripts 4.6k dependents
tomasfryda
h2o:R Interface for the 'H2O' Scalable Machine Learning Platform
R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
Maintained by Tomas Fryda. Last updated 1 years ago.
5.3 match 3 stars 8.20 score 7.8k scripts 11 dependents
s-fleck
lest:Vectorised Nested if-else Statements Similar to CASE WHEN in 'SQL'
Functions for vectorised conditional recoding of variables. case_when() enables you to vectorise multiple if and else statements (like 'CASE WHEN' in 'SQL'). if_else() is a stricter and more predictable version of ifelse() in 'base' that preserves attributes. These functions are forked from 'dplyr' with all package dependencies removed and behave identically to the originals.
Maintained by Stefan Fleck. Last updated 1 years ago.
10.5 match 24 stars 4.08 score 4 scripts
erictleung
unnestIfElse:Tidy up nested ifelse statements
Convert nested `ifelse()` statements to `case_when()`
Maintained by Eric Leung. Last updated 5 years ago.
case-whendplyrifelserstudiorstudio-addin
15.7 match 7 stars 2.54 score
rspatial
terra:Spatial Data Analysis
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Maintained by Robert J. Hijmans. Last updated 1 days ago.
geospatialrasterspatialvectoronetbbprojgdalgeoscpp
2.3 match 559 stars 17.64 score 17k scripts 851 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.
2.0 match 290 stars 18.97 score 1.1k scripts 13k dependents
r-forge
zoo:S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Maintained by Achim Zeileis. Last updated 13 days ago.
2.3 match 16.23 score 33k scripts 2.2k dependents
stemangiola
tidyHeatmap:A Tidy Implementation of Heatmap
This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.
Maintained by Stefano Mangiola. Last updated 1 months ago.
assaydomaininfrastructurebrewercomplexheatmapcustom-palettedplyrgraphvizheatmapmtcarsplottingrstudioscaletibbletidytidy-data-frametidybulktidyverseviridis
3.5 match 335 stars 10.23 score 197 scripts 1 dependents
pik-piam
magclass:Data Class and Tools for Handling Spatial-Temporal Data
Data class for increased interoperability working with spatial-temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
Maintained by Jan Philipp Dietrich. Last updated 10 days ago.
3.0 match 5 stars 11.16 score 412 scripts 56 dependents
stan-dev
posterior:Tools for Working with Posterior Distributions
Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Maintained by Paul-Christian Bürkner. Last updated 10 days ago.
2.0 match 168 stars 16.13 score 3.3k scripts 342 dependents
kaskr
RTMB:'R' Bindings for 'TMB'
Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Maintained by Kasper Kristensen. Last updated 1 months ago.
3.0 match 54 stars 10.49 score 394 scripts 9 dependents
flr
FLCore:Core Package of FLR, Fisheries Modelling in R
Core classes and methods for FLR, a framework for fisheries modelling and management strategy simulation in R. Developed by a team of fisheries scientists in various countries. More information can be found at <http://flr-project.org/>.
Maintained by Iago Mosqueira. Last updated 10 days ago.
fisheriesflrfisheries-modelling
3.0 match 16 stars 8.78 score 956 scripts 23 dependents
etiennebacher
flir:Find and Fix Lints in R Code
Lints are code patterns that are not optimal because they are inefficient, forget corner cases, or less readable. 'flir' provides a small set of functions to detect those lints and automatically fix them. It builds on 'astgrepr', which itself uses the Rust crate 'ast-grep' to parse and navigate R code.
Maintained by Etienne Bacher. Last updated 20 days ago.
3.4 match 52 stars 5.74 score 1 scriptskaskr
RTMBp:'R' Bindings for 'TMB'
Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMBp' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Maintained by Kasper Kristensen. Last updated 1 months ago.
3.0 match 51 stars 6.44 score 1 scripts
insightrx
PKPDsim:Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
Simulate dose regimens for pharmacokinetic-pharmacodynamic (PK-PD) models described by differential equation (DE) systems. Simulation using ADVAN-style analytical equations is also supported (Abuhelwa et al. (2015) <doi:10.1016/j.vascn.2015.03.004>).
Maintained by Ron Keizer. Last updated 20 days ago.
odepharmacodynamicspharmacokineticspharmacometricscpp
1.8 match 36 stars 9.47 score 100 scripts
uchidamizuki
dibble:Dimensional Data Frames
Provides a 'dibble' that implements data cubes (derived from 'dimensional tibble'), and allows broadcasting by dimensional names.
Maintained by Mizuki Uchida. Last updated 29 days ago.
multidimensional-arraystidy-data
3.0 match 14 stars 5.05 score 8 scripts
molgenis
dsTidyverse:'DataSHIELD' 'Tidyverse' Serverside Package
Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the serverside package which should be installed on the server holding the data, and is used in conjuncture with the clientside package 'dsTidyverseClient' which is installed in the local R environment of the analyst. For more information, see <https://www.tidyverse.org/> and <https://datashield.org/>.
Maintained by Tim Cadman. Last updated 18 days ago.
3.0 match 2 stars 4.56 score 2 scripts
nicchr
cheapr:Simple Functions to Save Time and Memory
Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Maintained by Nick Christofides. Last updated 12 hours ago.
1.9 match 20 stars 7.27 score 73 scripts 2 dependents
cardiomoon
interpretCI:Estimate the Confidence Interval and Interpret Step by Step
Estimate confidence intervals for mean, proportion, mean difference for unpaired and paired samples and proportion difference. Plot the confidence intervals. Generate documents explaining the statistical result step by step.
Maintained by Keon-Woong Moon. Last updated 3 years ago.
2.2 match 4 stars 6.03 score 49 scripts
cran
ibmdbR:IBM in-Database Analytics for R
Functionality required to efficiently use R with IBM(R) Db2(R) Warehouse offerings (formerly IBM dashDB(R)) and IBM Db2 for z/OS(R) in conjunction with IBM Db2 Analytics Accelerator for z/OS. Many basic and complex R operations are pushed down into the database, which removes the main memory boundary of R and allows to make full use of parallel processing in the underlying database. For executing R-functions in a multi-node environment in parallel the idaTApply() function requires the 'SparkR' package (<https://spark.apache.org/docs/latest/sparkr.html>). The optional 'ggplot2' package is needed for the plot.idaLm() function only.
Maintained by Shaikh Quader. Last updated 1 years ago.
3.0 match 2 stars 3.82 score 66 scripts
vinhdizzo
IRexamples:Collection of Practical Institutional Research Examples and Tutorials
Provides examples of code for analyzing data or accomplishing tasks that may be useful to institutional or educational researchers.
Maintained by Vinh Nguyen. Last updated 2 years ago.
2.2 match 4 stars 5.00 score 4 scripts
lawremi
rsolr:R to Solr Interface
A comprehensive R API for querying Apache Solr databases. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.
Maintained by Michael Lawrence. Last updated 3 years ago.
3.0 match 9 stars 3.65 score 6 scriptscran
salad:Simple Automatic Differentiation
Handles both vector and matrices, using a flexible S4 class for automatic differentiation. The method used is forward automatic differentiation. Many functions and methods have been defined, so that in most cases, functions written without automatic differentiation in mind can be used without change.
Maintained by Hervé Perdry. Last updated 3 months ago.
4.3 match 2.48 score 9 scripts
rdinnager
slimr:Create, Run and Post-Process 'SLiM' Population Genetics Forward Simulations
Lets you write 'SLiM' scripts (population genomics simulation) using your favourite R IDE, using a syntax as close as possible to the original 'SLiM' language. It offer many tools to manipulate those scripts, as well as run them in the 'SLiM' software from R, as well as capture and post-process their output, after or even during a simulation.
Maintained by Russell Dinnage. Last updated 4 months ago.
2.0 match 8 stars 4.70 score 42 scripts
timhesterberg
resample:Resampling Functions
Bootstrap, permutation tests, and jackknife, featuring easy-to-use syntax.
Maintained by Tim Hesterberg. Last updated 3 years ago.
3.0 match 2.82 score 221 scripts 1 dependents
2005m
kit:Data Manipulation Functions Implemented in C
Basic functions, implemented in C, for large data manipulation. Fast vectorised ifelse()/nested if()/switch() functions, psum()/pprod() functions equivalent to pmin()/pmax() plus others which are missing from base R. Most of these functions are callable at C level.
Maintained by Morgan Jacob. Last updated 6 months ago.
0.5 match 58 stars 9.11 score 92 scripts 5 dependents
billvenables
MASSExtra:Some 'MASS' Enhancements
Some enhancements, extensions and additions to the facilities of the recommended 'MASS' package that are useful mainly for teaching purposes, with more convenient default settings and user interfaces. Key functions from 'MASS' are imported and re-exported to avoid masking conflicts. In addition we provide some additional functions mainly used to illustrate coding paradigms and techniques, such as Gramm-Schmidt orthogonalisation and generalised eigenvalue problems.
Maintained by Bill Venables. Last updated 2 years ago.
1.5 match 2.74 score 11 scripts
benbruyneel
proteinAnnotation:ProteinAnnotation
Display protein information.
Maintained by Ben Bruyneel. Last updated 1 years ago.
mass-spectrometryproteomicsproteomics-data-analysis
1.8 match 1.70 score 1 scripts