Trending packages

glmtrans — 2.1.0

Transfer Learning under Regularized Generalized Linear Models

emcAdr — 1.3

Evolutionary Version of the Metropolis-Hastings Algorithm

metarep — 1.2.1

Replicability-Analysis Tools for Meta-Analysis

confintROB — 1.1-1

Confidence Intervals for Robust and Classical Linear Mixed Model Estimators

RSP — 0.5

'shiny' Applications for Statistical and Psychometric Analysis

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

sfa — 1.0.4

Stochastic Frontier Analysis

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

evola — 1.0.7

Evolutionary Algorithm

protoclust — 1.6.4

Hierarchical Clustering with Prototypes

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

StanHeaders — 2.32.10

C++ Header Files for Stan

SIAmodules — 0.1.3

Modules for 'ShinyItemAnalysis'

rstan — 2.32.7

R Interface to Stan

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

QuickJSR — 1.9.0

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

loo — 2.9.0

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

posterior — 1.6.1

Tools for Working with Posterior Distributions

tensorA — 0.36.2.1

Advanced Tensor Arithmetic with Named Indices

distributional — 0.6.0

Vectorised Probability Distributions

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

inline — 0.3.21

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

cito — 1.1

Building and Training Neural Networks

crane — 0.3.1

Supplements the 'gtsummary' Package for Pharmaceutical Reporting

RcppParallel — 5.1.11-1

Parallel Programming Tools for 'Rcpp'

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

mathml — 1.7

Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'

simsalapar — 1.0-13

Tools for Simulation Studies in Parallel

rswipl — 10.1.1.1

Embed 'SWI'-'Prolog'

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

gggrid — 0.2-0

Draw with 'grid' in 'ggplot2'

xdvir — 0.2-0

Render 'LaTeX' in Plots

MetaUtility — 2.1.2

Utility Functions for Conducting and Interpreting Meta-Analyses

lme4breeding — 1.1.0

Breeding-Related Mixed-Effects Models

polle — 1.6.2

Policy Learning

EValue — 4.1.4

Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

BH — 1.90.0-1

Boost C++ Header Files

box.lsp — 0.1.3

Provides 'box' Compatibility for 'languageserver'

parabar — 1.4.2

Progress Bar for Parallel Tasks

matrixStats — 1.5.0

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

box.linters — 0.10.7

Linters for 'box' Modules

RMark — 3.0.7

R Code for Mark Analysis

DiceOptim — 2.1.2

Kriging-Based Optimization for Computer Experiments

RcppEigen — 0.3.4.0.2

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

PMA — 1.2-4

Penalized Multivariate Analysis

sasr — 0.1.5

'SAS' Interface

rolog — 0.9.24

Query 'SWI'-'Prolog' from R

rhino — 1.11.0

A Framework for Enterprise Shiny Applications

coRanking — 0.2.5

Co-Ranking Matrix

ProAE — 1.0.4

PRO-CTCAE Scoring, Analysis, and Graphical Tools

negligible — 0.1.11

A Collection of Functions for Negligible Effect/Equivalence Testing

checkmate — 2.3.4

Fast and Versatile Argument Checks

waywiser — 0.6.3

Ergonomic Methods for Assessing Spatial Models

pcaL1 — 1.5.9

L1-Norm PCA Methods

BFpack — 1.5.3

Flexible Bayes Factor Testing of Scientific Expectations

DIDmultiplegt — 2.0.0

Estimators DID with Multiple Groups and Periods

tabnet — 0.8.0

Fit 'TabNet' Models for Classification and Regression

DIDmultiplegtDYN — 2.3.0

Estimation in Difference-in-Difference Designs with Multiple Groups and Periods

DynTxRegime — 4.16

Methods for Estimating Optimal Dynamic Treatment Regimes

modelObj — 4.3

A Model Object Framework for Regression Analysis

nmarank — 0.3-0.1

Complex Hierarchy Questions in Network Meta-Analysis

gridExtra — 2.3

Miscellaneous Functions for "Grid" Graphics

difR — 6.1.0

Collection of Methods to Detect Dichotomous, Polytomous, and Continuous Differential Item Functioning (DIF)

DIDHAD — 2.0.0

Difference-in-Differences in Heterogeneous Adoption Designs with Quasi Untreated Groups

policytree — 1.2.3

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

pkgbuild — 1.4.8

Find Tools Needed to Build R Packages

rnames — 1.0.1

Recursive Display of Items in Nested Lists

transforEmotion — 0.1.7

Sentiment Analysis for Text, Image and Video using Transformer Models

diffusionMap — 1.2.0

Diffusion Map

numDeriv — 2016.8-1.1

Accurate Numerical Derivatives

abind — 1.4-8

Combine Multidimensional Arrays

desc — 1.4.3

Manipulate DESCRIPTION Files

KrigInv — 1.4.2

Kriging-Based Inversion for Deterministic and Noisy Computer Experiments

anMC — 0.2.5

Compute High Dimensional Orthant Probabilities

maps — 3.4.3

Draw Geographical Maps

gridBezier — 1.1-1

Bezier Curves in 'grid'

cccd — 1.6

Class Cover Catch Digraphs

vwline — 0.2-4

Draw Variable-Width Lines

enhancer — 1.1.0

Mixed-Effects Models Enhancing Functions

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

disdat — 1.0-1

Data for Comparing Species Distribution Modeling Methods

NormPsy — 1.0.8

Normalisation of Psychometric Tests

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

foreign — 0.8-91

Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...

callr — 3.7.6

Call R from R

ncdfCF — 0.8.1

Easy Access to NetCDF Files with CF Metadata Conventions

bayesplot — 1.15.0

Plotting for Bayesian Models

processx — 3.8.6

Execute and Control System Processes

tidydr — 0.0.6

Unify Dimensionality Reduction Results

backports — 1.5.0

Reimplementations of Functions Introduced Since R-3.0.0

shinythemes — 1.2.0

Themes for Shiny

colourpicker — 1.3.0

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

EvaluateCore — 0.1.4

Quality Evaluation of Core Collections

isoband — 0.3.0

Generate Isolines and Isobands from Regularly Spaced Elevation Grids

ifaTools — 0.23

Toolkit for Item Factor Analysis with 'OpenMx'

leiden — 0.4.3.1

R Implementation of Leiden Clustering Algorithm

spatialsample — 0.6.1

Spatial Resampling Infrastructure