Most recently updated packages

ClassDiscovery — 3.4.10

Classes and Methods for "Class Discovery" with Microarrays or Proteomics

RMark — 3.1.0

R Code for Mark Analysis

nnmf — 1.6

Nonnegative Matrix Factorization

LLMRagent — 0.8.1

Reproducible Language-Model Agents for Research

cevcmm — 0.1.4

Communication-Efficient Varying Coefficient Mixed-Effects Models

fable.intermittent — 0.2.0

Forecasting Models for Intermittent Time Series

mllrnrs — 0.0.9

R6-Based ML Learners for 'mlexperiments'

SimDesign — 2.26

Structure for Organizing Monte Carlo Simulation Designs

VizModules — 0.3.0

Flexible, Interactive 'shiny' Modules for Almost Any Plot

mcptools — 1.0.1

Model Context Protocol Servers and Clients

stream — 2.0.6

Infrastructure for Data Stream Mining

semfindr — 0.2.1

Influential Cases in Structural Equation Modeling

alphaN — 0.3.0

Set Alpha Based on Sample Size Using Bayes Factors

RcppParallel — 6.1.1

Parallel Programming Tools for 'Rcpp'

semlbci — 0.12.1

Likelihood-Based Confidence Interval in Structural Equation Models

gsClusterDetect — 1.0.1

Utilities for Geo-Spatial Cluster Detection and Significance Classification

MVLs — 2.1

Model Validation Levels

TextAnalysisR — 0.1.4

A Text Mining Workflow Tool

hashtable — 1.0.0

Hash Table and Hash Set

postshock — 0.2.0

Donor-Adjusted Post-Shock Forecasting

PLNmodels — 1.3.0

Poisson Lognormal Models

crmPack — 2.2.1

Object-Oriented Implementation of Dose Escalation Designs

ctreeMI — 1.0.0

Conditional Inference Trees with Stacked Multiple Imputation

poseticDataAnalysis — 1.1.1

Posetic Data Analysis

rvif — 3.2.1

Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods

cardargus — 0.2.5

Generate SVG Information Cards with Embedded Fonts and Badges

FastSurvival — 0.2.0

Fast Survival Analysis and Simulation for Clinical Trials

fcaR — 2.1.0

Formal Concept Analysis

gerda — 0.8.1

German Election Database (GERDA)

iNZightTools — 2.0.4

Tools for 'iNZight'

BayesDecon — 0.1.7

Density Deconvolution Using Bayesian Semiparametric Methods

propagate — 1.2-0

Propagation of Uncertainty

geneset — 0.2.8

Get Gene Sets for Gene Enrichment Analysis

messydates — 1.1.0

A Flexible Class for Messy Dates

optiSolve — 1.0.1

Linear, Quadratic, and Rational Optimization

ordinal — 2026.7-26

Regression Models for Ordinal Data

gasfluxes — 0.7-2

Greenhouse Gas Flux Calculation from Chamber Measurements

survsim — 1.1.9

Simulation of Simple and Complex Survival Data

radir — 1.0.5

Inverse-Regression Estimation of Radioactive Doses

spatstat.explore — 3.8-2

Exploratory Data Analysis for the 'spatstat' Family

hermite — 1.2.1

Generalized Hermite Distribution

irtQ — 1.2.0

Unidimensional Item Response Theory Modeling

ThresholdROC — 2.10.0

Optimum Threshold Estimation

spatstat.random — 3.5-1

Random Generation Functionality for the 'spatstat' Family

GCCfactor — 1.2.0

GCC Estimation of the Multilevel Factor Model

geess — 1.0.2

Modified Generalized Estimating Equations for Small-Sample Data

tutorial.helpers — 0.7.0

Helper Functions for Creating Tutorials

upstartr — 0.2.0

Utilities Powering the Globe and Mail's Data Journalism Template

PTE — 2.0

Personalized Treatment Evaluator

mfrmr — 0.2.2

Estimation and Diagnostics for Many-Facet Measurement Models

tidyactuarial — 0.1.5

Tidy Tools for Actuarial Mathematics and Life Contingencies

cld3 — 1.6.2

Google's Compact Language Detector 3

rSCA — 3.2

An R Package for Stepwise Cluster Analysis

thinr — 0.3.0

Binary Image Thinning Algorithms

jamba — 1.0.5

Just Analysis Methods Base

polykde — 1.2.1

Polyspherical Kernel Density Estimation

dsROCrate — 0.2.0

'DataSHIELD' RO-Crate Governance Functions

RGenData — 1.0.1

Generates Multivariate Nonnormal Data and Determines How Many Factors to Retain

multcompView — 0.1-12

Visualizations of Paired Comparisons

RWeka — 0.4-50

R/Weka Interface

xpose.xtras — 0.2.0

Extra Functionality for the 'xpose' Package

Ckmeans.1d.dp — 4.3.6

Optimal, Fast, and Reproducible Univariate Clustering

huge — 2.0.0

High-Dimensional Undirected Graph Estimation

washr — 1.0.2

Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data

DrugExposureDiagnostics — 1.1.10

Diagnostics for OMOP Common Data Model Drug Records

DemogAnr — 0.2.0

Demographic Analysis

gips — 1.3.0

Gaussian Model Invariant by Permutation Symmetry

dtametaTMB — 0.1.1

Diagnostic Test Accuracy Meta-Analysis using Template Model Builder

mlr3mbo — 1.2.1

Flexible Bayesian Optimization

glmbayes — 0.9.72

Bayesian Generalized Linear Models (IID Samples)

MAARTS — 1.0.0

Merger and Acquisition Autoregressive Time-Series Models

nprcgenekeepr — 2.0.0

Genetic Tools for Colony Management

boostPM — 0.1.0

Unsupervised Tree Boosting for Learning Probability Distributions

wnl — 0.8.6

Minimization Tool for Pharmacokinetic-Pharmacodynamic Data Analysis

pwranova — 1.1.5

Power Analysis of Flexible ANOVA Designs and Related Tests

lingtypology — 1.1.26

Linguistic Typology and Mapping

fanc — 2.4.0

Penalized Likelihood Factor Analysis via Nonconvex Penalty

xwf — 0.2-4

Extrema-Weighted Feature Extraction

minioclient — 0.0.7

Interface to the 'MinIO' Client

dispRity — 1.9.12

Measuring Disparity

dqcheckr — 0.3.0

Automated Data Quality Checks for Recurring Dataset Deliveries

rotasym — 1.3.1

Tests for Rotational Symmetry on the Hypersphere

mlr3tuning — 1.6.1

Hyperparameter Optimization for 'mlr3'

quartose — 0.2.0

Dynamically Generate 'Quarto' Syntax

mlr3viz — 0.11.1

Visualizations for 'mlr3'

usmapdata — 1.1.0

Mapping Data for 'usmap' Package

rstantools — 2.7.0

Tools for Developing R Packages Interfacing with 'Stan'

Rtinycc — 0.1.15

Builds the 'TinyCC' Command-Line Interface and Library for 'C' Scripting in 'R'

ghclass — 0.4.1

Tools for Managing Classes on GitHub

RcppParallel — 6.1.0

Parallel Programming Tools for 'Rcpp'

GLmom — 2.0.1

Generalized L-Moments Estimation for Extreme Value Distributions

eigencore — 1.0.2

Certified Partial Eigenvalue and Singular Value Computation

ctreeMI — 0.3.0

Conditional Inference Trees with Stacked Multiple Imputation

couplr — 1.5.3

Optimal Pairing and Matching via Linear Assignment

picasso — 2.0.1

Sparse Learning with Convex and Concave Penalties

bWGR — 2.2.18

Bayesian Whole-Genome Regression

polykde — 1.2.0

Polyspherical Kernel Density Estimation

RcppArmadillo — 15.4.2-1

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

cumulcalib — 0.1.0

Cumulative Calibration Assessment for Prediction Models

textreuse — 1.0.2

Detect Text Reuse and Document Similarity