Trending packages

diffIRT — 1.5

Diffusion IRT Models for Response and Response Time Data

micsr — 0.1-5

Microeconometrics with R

treestats — 1.71.12

Phylogenetic Tree Statistics

treebalance — 1.2.0

Computation of Tree (Im)Balance Indices

moocore — 0.3.1

Core Mathematical Functions for Multi-Objective Optimization

scrutiny — 0.6.1

Error Detection in Science

DDD — 5.2.5

Diversity-Dependent Diversification

pcreg — 0.1.1

Advanced Methods for Principal Component Analysis and Principal Component Regression

webutils — 1.2.2

Utility Functions for Developing Web Applications

NNS — 12.1

Nonlinear Nonparametric Statistics

equatiomatic — 0.4.8

Transform Models into 'LaTeX' Equations

lambdr — 1.2.5

Create a Runtime for Serving Containerised R Functions on 'AWS Lambda'

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

sodium — 1.4.0

A Modern and Easy-to-Use Crypto Library

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

aisdk — 1.4.12

Unified Interface for AI Model Providers

duckspatial — 1.1.1

R Interface to 'DuckDB' Database with Spatial Extension

plumber — 1.3.3

An API Generator for R

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

arg — 0.1.1

Clean and Simple Argument Checking

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

shinythemes — 1.2.0

Themes for Shiny

ars — 0.8

Adaptive Rejection Sampling

disposables — 1.0.3

Create Disposable R Packages for Testing

colourpicker — 1.3.0

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

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

celestial — 1.5.8

Collection of Common Astronomical Conversion Routines and Functions

xaringan — 0.31

Presentation Ninja

linreg — 0.1.0

Linear Regression and Model Selection Framework

bayesplot — 1.15.0

Plotting for Bayesian Models

corrr — 0.4.5

Correlations in R

enrichit — 0.1.5

'C++' Implementations of Functional Enrichment Analysis

magicaxis — 2.5.1

Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support

gk — 0.6.0

g-and-k and g-and-h Distribution Functions

tinytest — 1.4.3

Lightweight and Feature Complete Unit Testing Framework

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

scam — 1.2-22

Shape Constrained Additive Models

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

lessR — 4.5.4

Less Code with More Comprehensive Results

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

rstanarm — 2.32.2

Bayesian Applied Regression Modeling via Stan

RUnit — 0.4.33.1

R Unit Test Framework

rbenchmark — 1.0.1

Benchmarking Routine for R

pcalg — 2.7-12

Methods for Graphical Models and Causal Inference

autoann — 0.1.0

Neural Network–Based Model Selection and Forecasting

mixopt — 0.1.3

Mixed Variable Optimization

GauPro — 0.2.17

Gaussian Process Fitting

cleanrmd — 0.1.1

Clean Class-Less 'R Markdown' HTML Documents

otel — 0.2.0

OpenTelemetry R API

watcher — 0.1.6

Watch the File System for Changes

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

rstan — 2.32.7

R Interface to Stan

debugme — 1.2.0

Debug R Packages

Boom — 0.9.16

Bayesian Object Oriented Modeling

fpCompare — 0.2.6

Reliable Comparison of Floating Point Numbers

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

crs — 0.15-44

Categorical Regression Splines

ggridges — 0.5.7

Ridgeline Plots in 'ggplot2'

otelsdk — 0.2.4

R SDK and Exporters for OpenTelemetry

miniUI — 0.1.2

Shiny UI Widgets for Small Screens

StanHeaders — 2.32.10

C++ Header Files for Stan

ggplot2movies — 0.0.1

Movies Data

bsts — 0.9.11

Bayesian Structural Time Series

ltm — 1.2-0

Latent Trait Models under IRT

asciicast — 2.3.1

Create 'Ascii' Screen Casts from R Scripts

metabook — 0.2-0

Data Sets and Code for "Meta-Analysis with R"

egg — 0.4.5

Extensions for 'ggplot2': Custom Geom, Custom Themes, Plot Alignment, Labelled Panels, Symmetric Scales, and Fixed Panel Size

spData — 2.3.5

Datasets for Spatial Analysis

coda — 0.19-4.1

Output Analysis and Diagnostics for MCMC

BoomSpikeSlab — 1.2.7

MCMC for Spike and Slab Regression

RcppEigen — 0.3.4.0.2

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

shinydisconnect — 0.1.1

Show a Nice Message When a 'Shiny' App Disconnects or Errors

DT — 0.34.0

A Wrapper of the JavaScript Library 'DataTables'

thematic — 0.1.8

Unified and Automatic 'Theming' of 'ggplot2', 'lattice', and 'base' R Graphics

RcppParallel — 5.1.11-2

Parallel Programming Tools for 'Rcpp'

reactlog — 1.1.1

Reactivity Visualizer for 'shiny'

brms — 2.23.0

Bayesian Regression Models using 'Stan'

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

gtools — 3.9.5

Various R Programming Tools

diffviewer — 0.1.2

HTML Widget to Show File Differences

pkgload — 1.5.3

Simulate Package Installation and Attach

pso — 1.0.4

Particle Swarm Optimization

pak — 0.10.0

Another Approach to Package Installation

ggm — 2.5.2

Graphical Markov Models with Mixed Graphs

CCA — 1.2.2

Canonical Correlation Analysis

bsicons — 0.1.2

Easily Work with 'Bootstrap' Icons

QuickJSR — 1.10.0

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

bridgesampling — 1.2-1

Bridge Sampling for Marginal Likelihoods and Bayes Factors

nanotime — 0.3.15

Nanosecond-Resolution Time Support for R

spdep — 1.4-2

Spatial Dependence: Weighting Schemes, Statistics

yyjsonr — 0.1.22

Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator

R.rsp — 0.46.0

Dynamic Generation of Scientific Reports

RcppDate — 0.0.6

'date' C++ Header Library for Date and Time Functionality

gbm — 2.2.3

Generalized Boosted Regression Models

munsell — 0.5.1

Utilities for Using Munsell Colours

mapproj — 1.2.12

Map Projections

MASS — 7.3-65

Support Functions and Datasets for Venables and Ripley's MASS

testthat — 3.3.2

Unit Testing for R

loo — 2.9.0

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