Trending packages

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

OptimalCutpoints — 1.1-5

Computing Optimal Cutpoints in Diagnostic Tests

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

moocore — 0.3.1

Core Mathematical Functions for Multi-Objective Optimization

adbi — 0.1.2

'DBI' Compliant Database Access Using 'ADBC'

micsr — 0.1-5

Microeconometrics with R

adbcsqlite — 0.23.0-1

'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver

webutils — 1.2.2

Utility Functions for Developing Web Applications

HGNChelper — 0.8.15

Identify and Correct Invalid HGNC Human Gene Symbols and MGI Mouse Gene Symbols

samr — 3.0.1

SAM: Significance Analysis of Microarrays

scrutiny — 0.6.1

Error Detection in Science

sodium — 1.4.0

A Modern and Easy-to-Use Crypto Library

ScottKnott — 1.4-0

The ScottKnott Clustering Algorithm

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

NNS — 12.1

Nonlinear Nonparametric Statistics

duckspatial — 1.1.2

R Interface to 'DuckDB' Database with Spatial Extension

eeptools — 1.3.0

Convenience Functions for Education Data

plumber — 1.3.3

An API Generator for R

aisdk — 1.4.12

Unified Interface for AI Model Providers

arg — 0.1.1

Clean and Simple Argument Checking

terra — 1.9-34

Spatial Data Analysis

rmeta — 3.0

Meta-Analysis

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

enrichit — 0.1.5

'C++' Implementations of Functional Enrichment Analysis

GSA — 1.03.3

Gene Set Analysis

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

scales — 1.4.0

Scale Functions for Visualization

corrr — 0.4.5

Correlations in R

quanteda.textstats — 0.97.2

Textual Statistics for the Quantitative Analysis of Textual Data

aplot — 0.3.0

Decorate a 'ggplot' with Associated Information

splitstackshape — 1.4.8.1

Stack and Reshape Datasets After Splitting Concatenated Values

scam — 1.2-22

Shape Constrained Additive Models

treesitter.r — 1.3.0

'R' Grammar for 'Tree-Sitter'

equatiomatic — 0.4.8

Transform Models into 'LaTeX' Equations

ggplot2 — 4.0.3

Create Elegant Data Visualisations Using the Grammar of Graphics

imputeTestbench — 3.0.3

Test Bench for the Comparison of Imputation Methods

otel — 0.2.0

OpenTelemetry R API

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

suntools — 1.1.0

Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight

rbenchmark — 1.0.1

Benchmarking Routine for R

nsyllable — 1.0.1

Count Syllables in Character Vectors

quanteda — 4.4

Quantitative Analysis of Textual Data

GauPro — 0.2.17

Gaussian Process Fitting

mixopt — 0.1.3

Mixed Variable Optimization

metabook — 0.2-0

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

crs — 0.15-45

Categorical Regression Splines

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

rstanarm — 2.32.2

Bayesian Applied Regression Modeling via Stan

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

bsts — 0.9.11

Bayesian Structural Time Series

hnp — 1.2-7

Half-Normal Plots with Simulation Envelopes

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

geobr — 2.0.1

Download Official Spatial Data Sets of Brazil

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

storr — 1.2.6

Simple Key Value Stores

shinythemes — 1.2.0

Themes for Shiny

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

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code

yyjsonr — 0.1.22

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

spatstat — 3.6-1

Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

lme4 — 2.0-1

Linear Mixed-Effects Models using 'Eigen' and S4

shinyFiles — 0.9.3

A Server-Side File System Viewer for Shiny

ars — 0.8

Adaptive Rejection Sampling

otelsdk — 0.2.4

R SDK and Exporters for OpenTelemetry

ggplotify — 0.1.3

Convert Plot to 'grob' or 'ggplot' Object

spData — 2.3.5

Datasets for Spatial Analysis

bayesplot — 1.15.0

Plotting for Bayesian Models

shinytest2 — 0.5.1

Testing for Shiny Applications

hdi — 0.1-10

High-Dimensional Inference

irlba — 2.3.7

Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

JuliaCall — 0.17.6

Seamless Integration Between R and 'Julia'

Boom — 0.9.16

Bayesian Object Oriented Modeling

diffviewer — 0.1.2

HTML Widget to Show File Differences

vioplot — 0.5.1

Violin Plot

class — 7.3-23

Functions for Classification

cleanrmd — 0.1.1

Clean Class-Less 'R Markdown' HTML Documents

Rmisc — 1.5.1

Ryan Miscellaneous

qap — 0.1-2

Heuristics for the Quadratic Assignment Problem (QAP)

tidytree — 0.4.7

A Tidy Tool for Phylogenetic Tree Data Manipulation

RUnit — 0.4.33.1

R Unit Test Framework

zCompositions — 1.6.2

Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets

tinytest — 1.4.3

Lightweight and Feature Complete Unit Testing Framework

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

pak — 0.10.0

Another Approach to Package Installation

webfakes — 1.5.0

Fake Web Apps for HTTP Testing

paws.common — 0.8.10

Paws Low-Level Amazon Web Services API

mockery — 0.4.5

Mocking Library for R

brms — 2.23.0

Bayesian Regression Models using 'Stan'

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

connectcreds — 0.2.0

Manage 'OAuth' Credentials from 'Posit Connect'

ggplot2movies — 0.0.1

Movies Data

pbmcapply — 1.5.1

Tracking the Progress of Mc*pply with Progress Bar

seriation — 1.5.8

Infrastructure for Ordering Objects Using Seriation

marquee — 1.2.1

Markdown Parser and Renderer for R Graphics

spdep — 1.4-2

Spatial Dependence: Weighting Schemes, Statistics

repurrrsive — 1.1.0

Examples of Recursive Lists and Nested or Split Data Frames