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

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

smcfcs — 2.0.2

Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

mashr — 0.2.79

Multivariate Adaptive Shrinkage

regsem — 1.9.5

Regularized Structural Equation Modeling

coarseDataTools — 0.7.2

Analysis of Coarsely Observed Data

EpiEstim — 2.2-5

Estimate Time Varying Reproduction Numbers from Epidemic Curves

locfdr — 1.1-8

Computes Local False Discovery Rates

multipol — 1.0-9

Multivariate Polynomials

mpoly — 1.1.2

Symbolic Computation and More with Multivariate Polynomials

psychonetrics — 0.17.8

Structural Equation Modeling and Confirmatory Network Analysis

listviewer — 4.0.0

'htmlwidget' for Interactive Views of R Lists

blastula — 0.3.6

Easily Send HTML Email Messages

symmoments — 1.2.2

Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution

descriptr — 0.6.0

Generate Descriptive Statistics

metaSEM — 1.5.0

Meta-Analysis using Structural Equation Modeling

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

incidence — 1.7.6

Compute, Handle, Plot and Model Incidence of Dated Events

shinytest2 — 0.5.1

Testing for Shiny Applications

cSEM — 0.6.1

Composite-Based Structural Equation Modeling

coloc — 5.2.3

Colocalisation Tests of Two Genetic Traits

aweek — 1.0.3

Convert Dates to Arbitrary Week Definitions

KernSmooth — 2.23-27

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

WGCNA — 1.74

Weighted Correlation Network Analysis

spatial — 7.3-19

Functions for Kriging and Point Pattern Analysis

IRdisplay — 1.1

'Jupyter' Display Machinery

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

getPass — 0.2-4

Masked User Input

RMariaDB — 1.3.5

Database Interface and MariaDB Driver

nlstools — 2.1-0

Tools for Nonlinear Regression Analysis

qreport — 1.1-0

Statistical Reporting with 'Quarto'

IsingSampler — 0.5.0

Sampling Methods and Distribution Functions for the Ising Model

micsr — 0.1-5

Microeconometrics with R

RcppParallel — 6.2.0

Parallel Programming Tools for 'Rcpp'

susieR — 0.14.2

Sum of Single Effects Linear Regression

infotheo — 1.2.0.1

Information-Theoretic Measures

roptim — 0.1.7

General Purpose Optimization in R using C++

mixsqp — 0.3-54

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

dynamicTreeCut — 1.63-1

Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

drc — 3.0-1

Analysis of Dose-Response Curves

hierfstat — 0.5-11

Estimation and Tests of Hierarchical F-Statistics

seminr — 2.5.0

Building and Estimating Structural Equation Models

piecewiseSEM — 2.3.1

Piecewise Structural Equation Modeling

moocore — 0.3.2

Core Mathematical Functions for Multi-Objective Optimization

class — 7.3-24

Functions for Classification

repr — 1.1.7

Serializable Representations

nnet — 7.3-21

Feed-Forward Neural Networks and Multinomial Log-Linear Models

jmvcore — 2.7.38

Dependencies for the 'jamovi' Framework

fastcluster — 1.3.0

Fast Hierarchical Clustering Routines for R and 'Python'

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

ggalluvial — 0.12.6

Alluvial Plots in 'ggplot2'

tmvnsim — 1.0-2

Truncated Multivariate Normal Simulation

discovr — 1.0.0

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

htm2txt — 2.2.2

Convert Html into Text

pals — 1.10

Color Palettes, Colormaps, and Tools to Evaluate Them

pbdZMQ — 0.3-14

Programming with Big Data -- Interface to 'ZeroMQ'

rsvg — 2.7.0

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

rstantools — 2.7.0

Tools for Developing R Packages Interfacing with 'Stan'

safer — 0.2.2

Encrypt and Decrypt Strings, R Objects and Files

acepack — 1.6.3

ACE and AVAS for Selecting Multiple Regression Transformations

R2BayesX — 1.1-6

Estimate Structured Additive Regression Models with 'BayesX'

BayesXsrc — 3.0-7.1

Distribution of the 'BayesX' C++ Sources

expsmooth — 2.3

Data Sets from "Forecasting with Exponential Smoothing"

airports — 0.1.0

Data on Airports

fma — 2.5

Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

ashr — 2.2-63

Methods for Adaptive Shrinkage, using Empirical Bayes

StanHeaders — 2.32.10

C++ Header Files for Stan

simr — 1.0.10

Power Analysis for Generalised Linear Mixed Models by Simulation

websocket — 1.4.4

'WebSocket' Client Library

shinythemes — 1.2.0

Themes for Shiny

duckspatial — 1.2.1

R Interface to 'DuckDB' Database with Spatial Extension

paran — 1.5.6

Horn's Test of Principal Components/Factors

BayesX — 0.3-3

R Utilities Accompanying the Software Package BayesX

princurve — 2.1.6

Fit a Principal Curve in Arbitrary Dimension

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

colourpicker — 1.3.0

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

lattice — 0.23-1

Trellis Graphics for R

swirl — 2.4.5

Learn R, in R

chromote — 0.5.1

Headless Chrome Web Browser Interface

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

umx — 4.65.0

Structural Equation Modeling and Twin Modeling in R

conquer — 1.3.3

Convolution-Type Smoothed Quantile Regression

origami — 1.0.8

Generalized Framework for Cross-Validation

lpSolveAPI — 5.5.2.0-17.15

R Interface to 'lp_solve' Version 5.5.2.0

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

bayesplot — 1.15.0

Plotting for Bayesian Models

shapefiles — 0.7.2

Read and Write ESRI Shapefiles

fru — 1.0.0

A Blazing Fast Implementation of Random Forest

inline — 0.3.21

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

adegenet — 2.1.11

Exploratory Analysis of Genetic and Genomic Data

mixopt — 0.1.3

Mixed Variable Optimization

rstan — 2.32.7

R Interface to Stan

crew — 1.3.2

A Distributed Worker Launcher Framework

gamm4 — 0.3-0

Generalized Additive Mixed Models using 'mgcv' and 'lme4'

scrutiny — 0.6.1

Error Detection in Science

gglm — 1.1.0

Grammar of Graphics for Linear Model Diagnostic Plots