Trending packages

cenROC — 2.0.0

Estimating Time-Dependent ROC Curve and AUC for Censored Data

SNPkit — 0.1.2

S4 Tools for Reading and Organizing Genetic Data

condSURV — 2.0.4

Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

aplotExtra — 0.0.5

Creating Composite Plots using 'aplot'

carts — 0.2.0

Simulation-Based Assessment of Covariate Adjustment in Randomized Trials

tidyfun — 0.2.0

Tidy Functional Data Wrangling and Visualization

rjd3workspace — 3.8.0

Wrangling 'JDemetra+ 3.x' Workspaces

chevron — 0.2.13

Standard TLGs for Clinical Trials Reporting

remstats — 4.1.0

Computes Statistics for Relational Event History Data

rTensor — 1.5.0

Tools for Tensor Analysis and Decomposition

remstimate — 3.1.0

Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models

moocore — 0.3.2

Core Mathematical Functions for Multi-Objective Optimization

valr — 0.10.0

Genome Interval Arithmetic

pcreg — 0.1.1

Advanced Methods for Principal Component Analysis and Principal Component Regression

crs — 0.15-45

Categorical Regression Splines

spatialEco — 2.0-5

Spatial Analysis and Modelling Utilities

littler — 0.3.23

R at the Command-Line via 'r'

micsr — 0.1-5

Microeconometrics with R

scrutiny — 0.6.1

Error Detection in Science

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

coloc — 5.2.3

Colocalisation Tests of Two Genetic Traits

argparse — 2.3.1

Command Line Optional and Positional Argument Parser

linreg — 0.1.0

Linear Regression and Model Selection Framework

fdapace — 0.6.0

Functional Data Analysis and Empirical Dynamics

NNS — 13.1

Nonlinear Nonparametric Statistics

aisdk — 1.4.12

Unified Interface for AI Model Providers

np — 0.70-5

Nonparametric Kernel Smoothing Methods for Mixed Data Types

arg — 0.2.0

Clean and Simple Argument Checking

ellmer — 0.4.2

Chat with Large Language Models

autoann — 0.1.0

Neural Network–Based Model Selection and Forecasting

enrichit — 0.2.0

'C++' Implementations of Functional Enrichment Analysis

ars — 0.8

Adaptive Rejection Sampling

icenReg — 2.0.16

Regression Models for Interval Censored Data

splines2 — 0.5.4

Regression Spline Functions and Classes

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

susieR — 0.14.2

Sum of Single Effects Linear Regression

locfdr — 1.1-8

Computes Local False Discovery Rates

nnls — 1.6

The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS)

WGCNA — 1.74

Weighted Correlation Network Analysis

otel — 0.2.0

OpenTelemetry R API

gson — 0.2.0

Base Class and Methods for 'gson' Format

fru — 0.0.7

A Blazing Fast Implementation of Random Forest

scoringRules — 1.1.3

Scoring Rules for Parametric and Simulated Distribution Forecasts

bnlearn — 5.2.1

Bayesian Network Structure Learning, Parameter Learning and Inference

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

tern — 0.9.11

Create Common TLGs Used in Clinical Trials

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

corrr — 0.4.5

Correlations in R

aricode — 1.1.0

Efficient Computations of Standard Clustering Comparison Measures

armadillo4r — 1.0.0

An 'Armadillo' Interface

rstan — 2.32.7

R Interface to Stan

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

showtextdb — 3.0

Font Files for the 'showtext' Package

sysfonts — 0.8.9

Loading Fonts into R

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

diffviewer — 0.1.2

HTML Widget to Show File Differences

colourpicker — 1.3.0

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

shinythemes — 1.2.0

Themes for Shiny

dynamicTreeCut — 1.63-1

Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

leidenAlg — 1.1.8

Implements the Leiden Algorithm via an R Interface

scam — 1.2-22

Shape Constrained Additive Models

Polychrome — 1.6.1

Qualitative Palettes with Many Colors

StanHeaders — 2.32.10

C++ Header Files for Stan

suntools — 1.1.0

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

bayesplot — 1.15.0

Plotting for Bayesian Models

sccore — 1.0.7

Core Utilities for Single-Cell RNA-Seq

fda — 6.3.0

Functional Data Analysis

inline — 0.3.21

Functions to Inline C, C++, Fortran Function Calls from R

BH — 1.90.0-1

Boost C++ Header Files

QuickJSR — 1.10.0

Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

tensorA — 0.36.2.1

Advanced Tensor Arithmetic with Named Indices

class — 7.3-23

Functions for Classification

cpp4r — 1.0.0

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

showtext — 0.9-8

Using Fonts More Easily in R Graphs

partykit — 1.2-29

A Toolkit for Recursive Partytioning

pkgKitten — 0.2.4

Create Simple Packages Which Do not Upset R Package Checks

loo — 2.10.0

Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

ggtext — 0.1.2

Improved Text Rendering Support for 'ggplot2'

ggfun — 0.2.1

Miscellaneous Functions for 'ggplot2'

posterior — 1.7.0

Tools for Working with Posterior Distributions

qreport — 1.1-0

Statistical Reporting with 'Quarto'

simplermarkdown — 0.0.6

Simple Engine for Generating Reports using R

RcppEigen — 0.3.4.0.2

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

RcppParallel — 5.1.11-2

Parallel Programming Tools for 'Rcpp'

ParallelLogger — 3.5.1

Support for Parallel Computation, Logging, and Function Automation

matrixStats — 1.5.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

shinytest2 — 0.5.1

Testing for Shiny Applications

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

distributional — 0.8.1

Vectorised Probability Distributions

diffdf — 1.1.2

Dataframe Difference Tool

pcalg — 2.7-12

Methods for Graphical Models and Causal Inference

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

rbenchmark — 1.0.1

Benchmarking Routine for R

GauPro — 0.2.17

Gaussian Process Fitting

nlme — 3.1-170

Linear and Nonlinear Mixed Effects Models

fastcluster — 1.3.0

Fast Hierarchical Clustering Routines for R and 'Python'