Most recently updated packages

cardinalR — 1.0.4

Collection of Data Structures

bootImpute — 1.3.0

Bootstrap Inference for Multiple Imputation

FAfA — 0.5

Factor Analysis for All

RODBC — 1.3-26.1

ODBC Database Access

boostmath — 1.4.0

'R' Bindings for the 'Boost' Math Functions

pmparser — 1.0.23

Create and Maintain a Relational Database of Data from PubMed/MEDLINE

XYomics — 0.1.2

Analysis of Sex Differences in Omics Data for Complex Diseases

excursions — 2.5.11

Excursion Sets and Contour Credibility Regions for Random Fields

dsTidyverse — 1.1.1

'DataSHIELD' 'Tidyverse' Serverside Package

audio — 0.1-12

Audio Interface for R

tatooheene — 1.0.0

Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands

dwctaxon — 2.0.4

Edit and Validate Darwin Core Taxon Data

Rserve — 1.8-16

Versatile R Server

PRECAST — 1.8

Embedding and Clustering with Alignment for Spatial Omics Datasets

MKinfer — 1.3

Inferential Statistics

resilience — 2025.1.1

Predictors of Resilience to a Stressor in a Single-Arm Study

MLwrap — 0.3.0

Machine Learning Modelling for Everyone

comtradr — 1.0.5

Interface with the United Nations Comtrade API

redistverse — 0.1.2

Easily Install and Load Redistricting Software

tsforecast — 1.2.0

Time Series Forecasting Functions

BayesSIM — 0.2.1

Integrated Interface of Bayesian Single Index Models using 'nimble'

HTLR — 1.0

Bayesian Logistic Regression with Heavy-Tailed Priors

epicmodel — 0.2.1

Causal Modeling in Epidemiology

forceplate — 1.1-5

Processing Force-Plate Data

yulab.utils — 0.2.3

Supporting Functions for Packages Maintained by 'YuLab-SMU'

MOTE — 1.2.2

Effect Size and Confidence Interval Calculator

astsa — 2.4

Applied Statistical Time Series Analysis

datetimeutils — 0.6-6

Utilities for Dates and Times

epiR — 2.0.89

Tools for the Analysis of Epidemiological Data

rice — 1.5.0

Radiocarbon Equations

tables — 0.9.33

Formula-Driven Table Generation

FMAT — 2025.12

The Fill-Mask Association Test

rqlm — 4.2-1

Modified Poisson Regression for Binary Outcome and Related Methods

VertexWiseR — 1.4.5

Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface

cpfa — 1.2-4

Classification with Parallel Factor Analysis

PDXpower — 1.0.5

Time to Event Outcome in Experimental Designs of Pre-Clinical Studies

downscale — 5.1.4

Downscaling Species Occupancy

DescriptiveRepresentationCalculator — 1.1.1

Characterizing Observed and Expected Representation

gfoRmulaICE — 1.1.1

Parametric Iterative Conditional Expectation G-Formula

uncertainty — 0.3.0

Uncertainty Estimation and Contribution Analysis

flir — 0.6.0

Find and Fix Lints in R Code

broadcast — 0.1.7

Broadcasted Array Operations Like 'NumPy'

bqtl — 1.0-39

Bayesian QTL Mapping Toolkit

vardiag — 0.2-2

Variogram Diagnostics

Rapp — 0.3.0

Easily Build Command Line Applications

enmpa — 0.2.2

Ecological Niche Modeling using Presence-Absence Data

gutenbergr — 0.3.1

Download and Process Public Domain Works from Project Gutenberg

CrownScorchTLS — 0.1.0

Estimate Crown Scorch from Terrestrial LiDAR Scans

rtables — 0.6.15

Reporting Tables

probaverse — 0.1.0

Install and Load the 'probaverse' Packages

journalR — 0.2.1

Formatting Tools for Scientific Journal Writing

pubrplot — 0.0.1

Publication-Ready Plots and Statistical Visualizations

PowRPriori — 0.1.1

Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models

TraMineR — 2.2-13

Trajectory Miner: a Sequence Analysis Toolkit

net4pg — 0.1.2

Handle Ambiguity of Protein Identifications from Shotgun Proteomics

afex — 1.5-1

Analysis of Factorial Experiments

markerpen — 0.1.2

Marker Gene Detection via Penalized Principal Component Analysis

treemapify — 2.6.0

Draw Treemaps in 'ggplot2'

DR.SC — 3.7

Joint Dimension Reduction and Spatial Clustering

manymome — 0.3.2

Mediation, Moderation and Moderated-Mediation After Model Fitting

sortable — 0.6.0

Drag-and-Drop in 'shiny' Apps with 'SortableJS'

mlr3tuning — 1.5.1

Hyperparameter Optimization for 'mlr3'

ProFAST — 1.7

Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction

boiwsa — 1.1.4

Seasonal Adjustment of Weekly Data

BH — 1.90.0-1

Boost C++ Header Files

SDModels — 2.0.2

Spectrally Deconfounded Models

PGRdup — 0.2.4.0

Discover Probable Duplicates in Plant Genetic Resources Collections

germinationmetrics — 0.1.9

Seed Germination Indices and Curve Fitting

hdf5lib — 2.0.0.3

Headers and Static Libraries for 'HDF5'

stars — 0.7-0

Spatiotemporal Arrays, Raster and Vector Data Cubes

Seurat — 5.4.0

Tools for Single Cell Genomics

varPro — 1.0.1

Model-Independent Variable Selection via the Rule-Based Variable Priority

fairness — 1.2.3

Algorithmic Fairness Metrics

misha — 5.3.2

Toolkit for Analysis of Genomic Data

neotoma2 — 1.0.11

Working with the Neotoma Paleoecology Database

gggenes — 0.6.0

Draw Gene Arrow Maps in 'ggplot2'

polycor — 0.8-2

Polychoric and Polyserial Correlations

soundgen — 2.8.0

Sound Synthesis and Acoustic Analysis

yuima — 1.15.34

The YUIMA Project Package for SDEs

HOIFCar — 1.1.0

Covariate Adjustment in RCT by Higher-Order Influence Functions

coFAST — 0.2.0

Spatially-Aware Cell Clustering Algorithm with Cluster Significant Assessment

snic — 0.6.1

Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm

BioCro — 3.3.0

Modular Crop Growth Simulations

RMCC — 0.1.2

Airborne LiDAR Filtering Method Based on Multiscale Curvature

aRxiv — 0.18

Interface to the arXiv API

orbital — 0.4.1

Predict with 'tidymodels' Workflows in Databases

tidysdm — 1.0.4

Species Distribution Models with Tidymodels

PanelMatch — 3.1.3

Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

qol — 1.1.1

Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs

SHAPforxgboost — 0.2.0

SHAP Plots for 'XGBoost'

pakret — 0.3.0

Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'

Sim.DiffProc — 5.0

Simulation of Diffusion Processes

sparvaride — 1.0.0

Variance Identification in Sparse Factor Analysis

estadistica — 1.2

Fundamentos de estadística descriptiva e inferencial

brickster — 0.2.11

R Toolkit for 'Databricks'

nvctr — 0.1.7

The n-vector Approach to Geographical Position Calculations using an Ellipsoidal Model of Earth

mlr3learners — 0.14.0

Recommended Learners for 'mlr3'

rACMEMEEV — 1.0.1

Multi-Variate Measurement Error Adjustment

cifmodeling — 0.9.6

Visualization and Polytomous Modeling of Survival and Competing Risks

automatedRecLin — 1.0.1

Record Linkage Based on an Entropy-Maximizing Classifier