Trending packages

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

moocore — 0.3.1

Core Mathematical Functions for Multi-Objective Optimization

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

micsr — 0.1-5

Microeconometrics with R

webutils — 1.2.2

Utility Functions for Developing Web Applications

scrutiny — 0.6.1

Error Detection in Science

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

sodium — 1.4.0

A Modern and Easy-to-Use Crypto Library

plumber — 1.3.3

An API Generator for R

NNS — 13.0

Nonlinear Nonparametric Statistics

terra — 1.9-34

Spatial Data Analysis

arg — 0.1.1

Clean and Simple Argument Checking

aisdk — 1.4.12

Unified Interface for AI Model Providers

duckspatial — 1.1.2

R Interface to 'DuckDB' Database with Spatial Extension

pcreg — 0.1.1

Advanced Methods for Principal Component Analysis and Principal Component Regression

enrichit — 0.1.5

'C++' Implementations of Functional Enrichment Analysis

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

scales — 1.4.0

Scale Functions for Visualization

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

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

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

suntools — 1.1.0

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

scam — 1.2-22

Shape Constrained Additive Models

ggplot2 — 4.0.3

Create Elegant Data Visualisations Using the Grammar of Graphics

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

crs — 0.15-45

Categorical Regression Splines

rbenchmark — 1.0.1

Benchmarking Routine for R

ars — 0.8

Adaptive Rejection Sampling

otel — 0.2.0

OpenTelemetry R API

bsts — 0.9.11

Bayesian Structural Time Series

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

quanteda — 4.4

Quantitative Analysis of Textual Data

nsyllable — 1.0.1

Count Syllables in Character Vectors

metabook — 0.2-0

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

GauPro — 0.2.17

Gaussian Process Fitting

mixopt — 0.1.3

Mixed Variable Optimization

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

lme4 — 2.0-1

Linear Mixed-Effects Models using 'Eigen' and S4

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

Boom — 0.9.16

Bayesian Object Oriented Modeling

BoomSpikeSlab — 1.2.7

MCMC for Spike and Slab Regression

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

linreg — 0.1.0

Linear Regression and Model Selection Framework

rstanarm — 2.32.2

Bayesian Applied Regression Modeling via Stan

imputeTestbench — 3.0.3

Test Bench for the Comparison of Imputation Methods

yyjsonr — 0.1.22

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

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code

pcalg — 2.7-12

Methods for Graphical Models and Causal Inference

bayesplot — 1.15.0

Plotting for Bayesian Models

spatstat — 3.6-1

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

hdi — 0.1-10

High-Dimensional Inference

geobr — 2.0.1

Download Official Spatial Data Sets of Brazil

class — 7.3-23

Functions for Classification

irlba — 2.3.7

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

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

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

ggplotify — 0.1.3

Convert Plot to 'grob' or 'ggplot' Object

spData — 2.3.5

Datasets for Spatial Analysis

marquee — 1.2.1

Markdown Parser and Renderer for R Graphics

bspm — 0.5.8

Bridge to System Package Manager

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

statsExpressions — 2.0.0

Tidy Dataframes and Expressions with Statistical Details

DRDID — 1.3.0

Doubly Robust Difference-in-Differences Estimators

shinytest2 — 0.5.1

Testing for Shiny Applications

qap — 0.1-2

Heuristics for the Quadratic Assignment Problem (QAP)

RUnit — 0.4.33.1

R Unit Test Framework

ggstatsplot — 1.0.0

'ggplot2' Based Plots with Statistical Details

babynames — 1.0.1

US Baby Names 1880-2017

StanHeaders — 2.32.10

C++ Header Files for Stan

tidytree — 0.4.7

A Tidy Tool for Phylogenetic Tree Data Manipulation

ggridges — 0.5.7

Ridgeline Plots in 'ggplot2'

partykit — 1.2-27

A Toolkit for Recursive Partytioning

gridpattern — 1.4.2

'grid' Pattern Grobs

limSolve — 2.0.3

Solving Linear Inverse Models

dotwhisker — 0.8.6

Dot-and-Whisker Plots of Regression Results

rstan — 2.32.7

R Interface to Stan

seriation — 1.5.8

Infrastructure for Ordering Objects Using Seriation

RcppHNSW — 0.7.0

'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors

repurrrsive — 1.1.0

Examples of Recursive Lists and Nested or Split Data Frames

jmvcore — 2.7.35

Dependencies for the 'jamovi' Framework

RcppEigen — 0.3.4.0.2

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

proxyC — 0.5.2

Computes Proximity in Large Sparse Matrices

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

paws.common — 0.8.10

Paws Low-Level Amazon Web Services API

eulerr — 8.1.0

Area-Proportional Euler and Venn Diagrams

pak — 0.10.0

Another Approach to Package Installation

babelgene — 22.9

Gene Orthologs for Model Organisms in a Tidy Data Format

gclus — 1.3.3

Clustering Graphics

gson — 0.1.0

Base Class and Methods for 'gson' Format

infotheo — 1.2.0.1

Information-Theoretic Measures

bigmemory — 4.6.6

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

tidydr — 0.0.6

Unify Dimensionality Reduction Results