Trending packages

pcreg — 0.1.1

Advanced Methods for Principal Component Analysis and Principal Component Regression

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

moocore — 0.3.1

Core Mathematical Functions for Multi-Objective Optimization

micsr — 0.1-5

Microeconometrics with R

webutils — 1.2.2

Utility Functions for Developing Web Applications

plumber — 1.3.3

An API Generator for R

sodium — 1.4.0

A Modern and Easy-to-Use Crypto Library

linreg — 0.1.0

Linear Regression and Model Selection Framework

scrutiny — 0.6.1

Error Detection in Science

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

NNS — 13.0

Nonlinear Nonparametric Statistics

autoann — 0.1.0

Neural Network–Based Model Selection and Forecasting

arg — 0.1.1

Clean and Simple Argument Checking

aisdk — 1.4.12

Unified Interface for AI Model Providers

argparser — 0.7.3

Command-Line Argument Parser

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

enrichit — 0.2.0

'C++' Implementations of Functional Enrichment Analysis

duckspatial — 1.2.1

R Interface to 'DuckDB' Database with Spatial Extension

ars — 0.8

Adaptive Rejection Sampling

disposables — 1.0.3

Create Disposable R Packages for Testing

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

corrr — 0.4.5

Correlations in R

rbenchmark — 1.0.1

Benchmarking Routine for R

terra — 1.9-34

Spatial Data Analysis

crs — 0.15-45

Categorical Regression Splines

suntools — 1.1.0

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

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

mixopt — 0.1.3

Mixed Variable Optimization

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

scam — 1.2-22

Shape Constrained Additive Models

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

coloc — 5.2.3

Colocalisation Tests of Two Genetic Traits

GauPro — 0.2.17

Gaussian Process Fitting

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

statsExpressions — 2.0.0

Tidy Dataframes and Expressions with Statistical Details

limSolve — 2.0.3

Solving Linear Inverse Models

hierfstat — 0.5-11

Estimation and Tests of Hierarchical F-Statistics

ggstatsplot — 1.0.0

'ggplot2' Based Plots with Statistical Details

otel — 0.2.0

OpenTelemetry R API

aricode — 1.1.0

Efficient Computations of Standard Clustering Comparison Measures

pcalg — 2.7-12

Methods for Graphical Models and Causal Inference

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

shinythemes — 1.2.0

Themes for Shiny

colourpicker — 1.3.0

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

leidenAlg — 1.1.8

Implements the Leiden Algorithm via an R Interface

conquer — 1.3.3

Convolution-Type Smoothed Quantile Regression

bspm — 0.5.8

Bridge to System Package Manager

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

log4r — 0.4.4

A Fast and Lightweight Logging System for R, Based on 'log4j'

gaston — 1.6

Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models

metabook — 0.2-0

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

infotheo — 1.2.0.1

Information-Theoretic Measures

eulerr — 8.1.0

Area-Proportional Euler and Venn Diagrams

sccore — 1.0.7

Core Utilities for Single-Cell RNA-Seq

bsts — 0.9.11

Bayesian Structural Time Series

aplot — 0.3.0

Decorate a 'ggplot' with Associated Information

bayesplot — 1.15.0

Plotting for Bayesian Models

tmvnsim — 1.0-2

Truncated Multivariate Normal Simulation

gson — 0.2.0

Base Class and Methods for 'gson' Format

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

rstanarm — 2.32.2

Bayesian Applied Regression Modeling via Stan

tinytest — 1.4.3

Lightweight and Feature Complete Unit Testing Framework

jmvcore — 2.7.35

Dependencies for the 'jamovi' Framework

expsmooth — 2.3

Data Sets from "Forecasting with Exponential Smoothing"

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

ggm — 2.5.2

Graphical Markov Models with Mixed Graphs

lbfgs — 1.2.1.2

Limited-memory BFGS Optimization

shinytest2 — 0.5.1

Testing for Shiny Applications

RUnit — 0.4.33.1

R Unit Test Framework

pegas — 1.4

Population and Evolutionary Genetics Analysis System

seminr — 2.5.0

Building and Estimating Structural Equation Models

dartR — 2.9.9.5

Importing and Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis

irlba — 2.3.7

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

pkgcache — 2.2.5

Cache 'CRAN'-Like Metadata and R Packages

class — 7.3-23

Functions for Classification

DatabaseConnector — 7.2.0

Connecting to Various Database Platforms

discovr — 1.0.0

Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

segmented — 2.2-1

Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)

partykit — 1.2-27

A Toolkit for Recursive Partytioning

ggridges — 0.5.7

Ridgeline Plots in 'ggplot2'

alluvial — 0.1-2

Alluvial Diagrams

gtools — 3.9.5

Various R Programming Tools

yyjsonr — 0.1.22

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

lpSolveAPI — 5.5.2.0-17.15

R Interface to 'lp_solve' Version 5.5.2.0

mapview — 2.11.4

Interactive Viewing of Spatial Data in R

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

jinjar — 0.3.2

Template Engine Inspired by 'Jinja'

AICcmodavg — 2.3-4

Model Selection and Multimodel Inference Based on (Q)AIC(c)

StanHeaders — 2.32.10

C++ Header Files for Stan

spatstat — 3.6-1

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

mcmcse — 1.5-1

Monte Carlo Standard Errors for MCMC

babynames — 1.0.1

US Baby Names 1880-2017

unmarked — 1.5.1

Models for Data from Unmarked Animals

spData — 2.3.5

Datasets for Spatial Analysis

rstan — 2.32.7

R Interface to Stan

babelgene — 22.9

Gene Orthologs for Model Organisms in a Tidy Data Format