Trending packages

glmtrans — 2.1.0

Transfer Learning under Regularized Generalized Linear Models

emcAdr — 1.3

Evolutionary Version of the Metropolis-Hastings Algorithm

rib — 0.30.4

An Implementation of 'Interactive Brokers' API

RSP — 0.5

'shiny' Applications for Statistical and Psychometric Analysis

ggtime — 0.2.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

rstan — 2.32.7

R Interface to Stan

StanHeaders — 2.32.10

C++ Header Files for Stan

loo — 2.9.0

Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

QuickJSR — 1.9.0

Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine

posterior — 1.6.1

Tools for Working with Posterior Distributions

tensorA — 0.36.2.1

Advanced Tensor Arithmetic with Named Indices

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

distributional — 0.6.0

Vectorised Probability Distributions

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

inline — 0.3.21

Functions to Inline C, C++, Fortran Function Calls from R

MetaUtility — 2.1.2

Utility Functions for Conducting and Interpreting Meta-Analyses

RcppParallel — 5.1.11-1

Parallel Programming Tools for 'Rcpp'

EValue — 4.1.4

Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

BH — 1.90.0-1

Boost C++ Header Files

protoclust — 1.6.4

Hierarchical Clustering with Prototypes

matrixStats — 1.5.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

rswipl — 10.1.1.1

Embed 'SWI'-'Prolog'

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

RcppEigen — 0.3.4.0.2

'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library

checkmate — 2.3.4

Fast and Versatile Argument Checks

gridExtra — 2.3

Miscellaneous Functions for "Grid" Graphics

xdvir — 0.2-0

Render 'LaTeX' in Plots

pkgbuild — 1.4.8

Find Tools Needed to Build R Packages

numDeriv — 2016.8-1.1

Accurate Numerical Derivatives

abind — 1.4-8

Combine Multidimensional Arrays

RMark — 3.0.7

R Code for Mark Analysis

desc — 1.4.3

Manipulate DESCRIPTION Files

box.lsp — 0.1.3

Provides 'box' Compatibility for 'languageserver'

BFpack — 1.5.3

Flexible Bayes Factor Testing of Scientific Expectations

difR — 6.1.0

Collection of Methods to Detect Dichotomous, Polytomous, and Continuous Differential Item Functioning (DIF)

box.linters — 0.10.7

Linters for 'box' Modules

nmarank — 0.3-0.1

Complex Hierarchy Questions in Network Meta-Analysis

rhino — 1.11.0

A Framework for Enterprise Shiny Applications

PMA — 1.2-4

Penalized Multivariate Analysis

callr — 3.7.6

Call R from R

backports — 1.5.0

Reimplementations of Functions Introduced Since R-3.0.0

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

pcaL1 — 1.5.9

L1-Norm PCA Methods

processx — 3.8.6

Execute and Control System Processes

DIDmultiplegtDYN — 2.3.0

Estimation in Difference-in-Difference Designs with Multiple Groups and Periods

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

isoband — 0.3.0

Generate Isolines and Isobands from Regularly Spaced Elevation Grids

tabnet — 0.8.0

Fit 'TabNet' Models for Classification and Regression

viridisLite — 0.4.3

Colorblind-Friendly Color Maps (Lite Version)

ps — 1.9.1

List, Query, Manipulate System Processes

cluster — 2.1.8.2

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

bayesplot — 1.15.0

Plotting for Bayesian Models

vctrs — 0.7.1

Vector Helpers

maps — 3.4.3

Draw Geographical Maps

labeling — 0.4.3

Axis Labeling

S7 — 0.2.1

An Object Oriented System Meant to Become a Successor to S3 and S4

cpp11 — 0.5.3

A C++11 Interface for R's C Interface

shinythemes — 1.2.0

Themes for Shiny

RColorBrewer — 1.1-3

ColorBrewer Palettes

farver — 2.1.2

High Performance Colour Space Manipulation

pillar — 1.11.1

Coloured Formatting for Columns

colourpicker — 1.3.0

A Colour Picker Tool for Shiny and for Selecting Colours in Plots

pkgconfig — 2.0.3

Private Configuration for 'R' Packages

generics — 0.1.4

Common S3 Generics not Provided by Base R Methods Related to Model Fitting

sasr — 0.1.5

'SAS' Interface

foreign — 0.8-91

Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...

gtable — 0.3.6

Arrange 'Grobs' in Tables

enhancer — 1.1.0

Mixed-Effects Models Enhancing Functions

logistf — 1.26.1

Firth's Bias-Reduced Logistic Regression

tibble — 3.3.1

Simple Data Frames

EvaluateCore — 0.1.4

Quality Evaluation of Core Collections

utf8 — 1.2.6

Unicode Text Processing

lifecycle — 1.0.5

Manage the Life Cycle of your Package Functions

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

tidydr — 0.0.6

Unify Dimensionality Reduction Results

scales — 1.4.0

Scale Functions for Visualization

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

withr — 3.0.2

Run Code 'With' Temporarily Modified Global State

ggplot2 — 4.0.2

Create Elegant Data Visualisations Using the Grammar of Graphics

archdata — 1.2-1

Example Datasets from Archaeological Research

R6 — 2.6.1

Encapsulated Classes with Reference Semantics

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

magrittr — 2.0.4

A Forward-Pipe Operator for R

rlang — 1.1.7

Functions for Base Types and Core R and 'Tidyverse' Features

glue — 1.8.0

Interpreted String Literals

Rcpp — 1.1.1

Seamless R and C++ Integration

rdrobust — 3.0.0

Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs

ncdfCF — 0.8.1

Easy Access to NetCDF Files with CF Metadata Conventions

cli — 3.6.5

Helpers for Developing Command Line Interfaces

ggridges — 0.5.7

Ridgeline Plots in 'ggplot2'

leiden — 0.4.3.1

R Implementation of Leiden Clustering Algorithm

ars — 0.8

Adaptive Rejection Sampling

resilience — 2025.1.1

Predictors of Resilience to a Stressor in a Single-Arm Study

survRM2 — 1.0-4

Comparing Restricted Mean Survival Time

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods