Trending packages

rjd3production — 1.1.1

Prepare for Production of Seasonal Adjustment with 'JDemetra+'

rdtools — 0.1.0

Efficient Manipulation of 'Rd' Files and Help Topics

coarseDataTools — 0.7.2

Analysis of Coarsely Observed Data

EpiEstim — 2.2-5

Estimate Time Varying Reproduction Numbers from Epidemic Curves

incidence — 1.7.6

Compute, Handle, Plot and Model Incidence of Dated Events

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

smcfcs — 2.0.2

Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

qreport — 1.1-0

Statistical Reporting with 'Quarto'

aweek — 1.0.3

Convert Dates to Arbitrary Week Definitions

adephylo — 1.1-17

Exploratory Analyses for the Phylogenetic Comparative Method

WGCNA — 1.74

Weighted Correlation Network Analysis

shinytest2 — 0.5.1

Testing for Shiny Applications

adespatial — 0.3-29

Multivariate Multiscale Spatial Analysis

hierfstat — 0.5-11

Estimation and Tests of Hierarchical F-Statistics

poppr — 2.9.8

Genetic Analysis of Populations with Mixed Reproduction

listviewer — 4.0.0

'htmlwidget' for Interactive Views of R Lists

shinydisconnect — 0.1.1

Show a Nice Message When a 'Shiny' App Disconnects or Errors

dynamicTreeCut — 1.63-1

Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

rdist — 0.0.5

Calculate Pairwise Distances

fastcluster — 1.3.0

Fast Hierarchical Clustering Routines for R and 'Python'

coloc — 5.2.3

Colocalisation Tests of Two Genetic Traits

shinyAce — 0.4.4

Ace Editor Bindings for Shiny

adegenet — 2.1.11

Exploratory Analysis of Genetic and Genomic Data

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

mpoly — 1.1.2

Symbolic Computation and More with Multivariate Polynomials

susieR — 0.14.2

Sum of Single Effects Linear Regression

multipol — 1.0-9

Multivariate Polynomials

princurve — 2.1.6

Fit a Principal Curve in Arbitrary Dimension

infotheo — 1.2.0.1

Information-Theoretic Measures

sparkline — 2.0

'jQuery' Sparkline 'htmlwidget'

symmoments — 1.2.2

Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution

metaSEM — 1.5.0

Meta-Analysis using Structural Equation Modeling

rsvg — 2.7.0

Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or Bitmap Arrays

mixsqp — 0.3-54

Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions

KernSmooth — 2.23-27

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

spatial — 7.3-19

Functions for Kriging and Point Pattern Analysis

locfdr — 1.1-8

Computes Local False Discovery Rates

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

cSEM — 0.6.1

Composite-Based Structural Equation Modeling

seasonalytics — 0.1.0

Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data

RMariaDB — 1.3.5

Database Interface and MariaDB Driver

forecTheta — 3.0.3

Forecasting Time Series by Theta Models

micsr — 0.1-5

Microeconometrics with R

drc — 3.0-1

Analysis of Dose-Response Curves

moocore — 0.3.2

Core Mathematical Functions for Multi-Objective Optimization

IRdisplay — 1.1

'Jupyter' Display Machinery

nnet — 7.3-21

Feed-Forward Neural Networks and Multinomial Log-Linear Models

fru — 1.0.0

A Blazing Fast Implementation of Random Forest

RInside — 0.2.19

C++ Classes to Embed R in C++ (and C) Applications

RcppParallel — 6.2.0

Parallel Programming Tools for 'Rcpp'

rms — 8.1-1

Regression Modeling Strategies

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

class — 7.3-24

Functions for Classification

origami — 1.0.8

Generalized Framework for Cross-Validation

ggalluvial — 0.12.6

Alluvial Plots in 'ggplot2'

cvTools — 0.3.3

Cross-Validation Tools for Regression Models

htmlTable — 2.5.0

Advanced Tables for Markdown/HTML

gglm — 1.1.0

Grammar of Graphics for Linear Model Diagnostic Plots

otelsdk — 0.2.4

R SDK and Exporters for OpenTelemetry

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

uroot — 2.1-3

Unit Root Tests for Seasonal Time Series

MCMCpack — 1.7-1

Markov Chain Monte Carlo (MCMC) Package

rticles — 0.27

Article Formats for R Markdown

IsingSampler — 0.5.0

Sampling Methods and Distribution Functions for the Ising Model

ashr — 2.2-63

Methods for Adaptive Shrinkage, using Empirical Bayes

seminr — 2.5.0

Building and Estimating Structural Equation Models

Hmisc — 5.2-6

Harrell Miscellaneous

cvAUC — 1.1.4

Cross-Validated Area Under the ROC Curve Confidence Intervals

roptim — 0.1.7

General Purpose Optimization in R using C++

entropy — 1.3.2

Estimation of Entropy, Mutual Information and Related Quantities

airports — 0.1.0

Data on Airports

websocket — 1.4.4

'WebSocket' Client Library

usdata — 0.3.1

Data on the States and Counties of the United States

swirl — 2.4.5

Learn R, in R

mcmc — 0.9-8

Markov Chain Monte Carlo

blastula — 0.3.6

Easily Send HTML Email Messages

locfit — 1.5-9.12

Local Regression, Likelihood and Density Estimation

jmvcore — 2.7.38

Dependencies for the 'jamovi' Framework

repr — 1.1.7

Serializable Representations

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

chromote — 0.5.1

Headless Chrome Web Browser Interface

openintro — 2.5.1

Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

admiraldev — 1.5.0

Utility Functions and Development Tools for the Admiral Package Family

seasonal — 1.10.0

R Interface to X-13-ARIMA-SEATS

aricode — 1.1.0

Efficient Computations of Standard Clustering Comparison Measures

acepack — 1.6.3

ACE and AVAS for Selecting Multiple Regression Transformations

duckspatial — 1.2.1

R Interface to 'DuckDB' Database with Spatial Extension

discovr — 1.0.0

Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

SuperLearner — 2.0-41

Super Learner Prediction

piecewiseSEM — 2.3.1

Piecewise Structural Equation Modeling

ltm — 1.2-0

Latent Trait Models under IRT

gcdnet — 1.0.6

The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm

x13binary — 1.1.61.2

Provide the 'x13ashtml' Seasonal Adjustment Binary

scrutiny — 0.6.1

Error Detection in Science

crew — 1.3.2

A Distributed Worker Launcher Framework

statmod — 1.5.2

Statistical Modeling

gsDesign — 3.10.1

Group Sequential Design

qs2 — 0.3.1

Efficient Serialization of R Objects

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

lattice — 0.23-1

Trellis Graphics for R