Trending packages

pcreg — 0.1.1

Advanced Methods for Principal Component Analysis and Principal Component Regression

micsr — 0.1-5

Microeconometrics with R

scrutiny — 0.6.1

Error Detection in Science

linreg — 0.1.0

Linear Regression and Model Selection Framework

autoann — 0.1.0

Neural Network–Based Model Selection and Forecasting

seasonalytics — 0.1.0

Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

arg — 0.1.1

Clean and Simple Argument Checking

aisdk — 1.4.12

Unified Interface for AI Model Providers

duckspatial — 1.1.1

R Interface to 'DuckDB' Database with Spatial Extension

mcanalysis — 0.1.0

Markov Chain Analysis for Structural Behaviour and Stability

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

corrr — 0.4.5

Correlations in R

enrichit — 0.1.4

'C++' Implementations of Functional Enrichment Analysis

GauPro — 0.2.17

Gaussian Process Fitting

mixopt — 0.1.3

Mixed Variable Optimization

scam — 1.2-22

Shape Constrained Additive Models

splitfngr — 0.1.2

Combined Evaluation and Split Access of Functions

fpCompare — 0.2.6

Reliable Comparison of Floating Point Numbers

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

metabook — 0.2-0

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

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

armadillo4r — 0.9.0

An 'Armadillo' Interface

crs — 0.15-44

Categorical Regression Splines

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

rbenchmark — 1.0.0

Benchmarking routine for R

TreeTools — 2.4.0

Create, Modify and Analyse Phylogenetic Trees

symengine — 0.2.11

Interface to the 'SymEngine' Library

cpp4r — 0.6.0

Header-Only 'C++' and 'R' Interface

cranlogs — 2.1.1

Download Logs from the 'RStudio' 'CRAN' Mirror

yyjsonr — 0.1.22

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

mvmeta — 1.0.3

Multivariate and Univariate Meta-Analysis and Meta-Regression

marquee — 1.2.1

Markdown Parser and Renderer for R Graphics

RSpincalc — 1.0.2

Conversion Between Attitude Representations of DCM, Euler Angles, Quaternions, and Euler Vectors

mada — 0.5.12

Meta-Analysis of Diagnostic Accuracy

nhdplusTools — 1.5.0

NHDPlus Tools

ambient — 1.0.3

A Generator of Multidimensional Noise

pak — 0.10.0

Another Approach to Package Installation

HardyWeinberg — 1.7.9

Statistical Tests and Graphics for Hardy-Weinberg Equilibrium

qs2 — 0.2.2

Efficient Serialization of R Objects

PlotTools — 0.4.0

Extended Tools for Continuous Legends, Polygon Manipulation, and Visual Display of Categorical Data

ismev — 1.43

An Introduction to Statistical Modeling of Extreme Values

metasens — 1.5-3

Statistical Methods for Sensitivity Analysis in Meta-Analysis

qap — 0.1-2

Heuristics for the Quadratic Assignment Problem (QAP)

mschart — 0.5.0

Chart Generation for 'Microsoft Word', 'Microsoft Excel' and 'Microsoft PowerPoint' Documents

bsts — 0.9.11

Bayesian Structural Time Series

Boom — 0.9.16

Bayesian Object Oriented Modeling

RBesT — 1.9-0

R Bayesian Evidence Synthesis Tools

mixmeta — 1.2.2

An Extended Mixed-Effects Framework for Meta-Analysis

rxode2 — 5.1.2

Facilities for Simulating from ODE-Based Models

rtables — 0.6.16

Reporting Tables

seriation — 1.5.8

Infrastructure for Ordering Objects Using Seriation

gclus — 1.3.3

Clustering Graphics

tinytest — 1.4.3

Lightweight and Feature Complete Unit Testing Framework

lotri — 1.0.4

A Simple Way to Specify Symmetric, Block Diagonal Matrices

gk — 0.6.0

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

grImport — 0.9-7

Importing Vector Graphics

limSolve — 2.0.2

Solving Linear Inverse Models

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

BoomSpikeSlab — 1.2.7

MCMC for Spike and Slab Regression

webutils — 1.2.2

Utility Functions for Developing Web Applications

pedigreemm — 0.3-5

Pedigree-Based Mixed-Effects Models

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

spam64 — 2.11-4

64-Bit Extension of the SPArse Matrix R Package 'spam'

modules — 0.13.0

Self Contained Units of Source Code

alluvial — 0.1-2

Alluvial Diagrams

RcppHNSW — 0.7.0

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

QCA — 3.25

Qualitative Comparative Analysis

cleanrmd — 0.1.1

Clean Class-Less 'R Markdown' HTML Documents

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

TSP — 1.2.7

Infrastructure for the Traveling Salesperson Problem

shinythemes — 1.2.0

Themes for Shiny

httpgd — 2.1.4

A 'HTTP' Server Graphics Device

colourpicker — 1.3.0

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

ggiraphExtra — 0.3.0

Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'

aricode — 1.1.0

Efficient Computations of Standard Clustering Comparison Measures

asciicast — 2.3.1

Create 'Ascii' Screen Casts from R Scripts

censReg — 0.5-38

Censored Regression (Tobit) Models

highs — 1.14.0-2

'HiGHS' Optimization Solver

scoringRules — 1.1.3

Scoring Rules for Parametric and Simulated Distribution Forecasts

eulerr — 8.0.0

Area-Proportional Euler and Venn Diagrams with Ellipses

scales — 1.4.0

Scale Functions for Visualization

mapsf — 1.2.1

Thematic Cartography

registry — 0.5-1

Infrastructure for R Package Registries

skewt — 1.0

The Skewed Student-t Distribution

robvis — 0.3.1

Visualize the Results of Risk-of-Bias (ROB) Assessments

shadowtext — 0.1.6

Shadow Text Grob and Layer

pkgsearch — 3.1.5

Search and Query CRAN R Packages

stringfish — 0.19.0

Alt String Implementation

spData — 2.3.5

Datasets for Spatial Analysis

glmmML — 1.1.7

Generalized Linear Models with Clustering

spatstat.sparse — 3.2-0

Sparse Three-Dimensional Arrays and Linear Algebra Utilities

declared — 0.26

Functions for Declared Missing Values

RUnit — 0.4.33.1

R Unit Test Framework

rstanarm — 2.32.2

Bayesian Applied Regression Modeling via Stan

PDIndex — 0.1.0

Disease Intensity and Progress Curve Indices for Plant Pathology

targets — 1.12.0

Dynamic Function-Oriented 'Make'-Like Declarative Pipelines

thematic — 0.1.8

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