Trending packages

glmtrans — 2.1.0

Transfer Learning under Regularized Generalized Linear Models

metarep — 1.2.1

Replicability-Analysis Tools for Meta-Analysis

confintROB — 1.1-1

Confidence Intervals for Robust and Classical Linear Mixed Model Estimators

brand.yml — 0.1.0

Unified Branding with a Simple YAML File

sfa — 1.0.4

Stochastic Frontier Analysis

RSP — 0.5

'shiny' Applications for Statistical and Psychometric Analysis

SIAmodules — 0.1.3

Modules for 'ShinyItemAnalysis'

evola — 1.0.7

Evolutionary Algorithm

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

mathml — 1.7

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

crane — 0.3.1

Supplements the 'gtsummary' Package for Pharmaceutical Reporting

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

simsalapar — 1.0-13

Tools for Simulation Studies in Parallel

DTRlearn2 — 1.1

Statistical Learning Methods for Optimizing Dynamic Treatment Regimes

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

forward — 1.0.7

Robust Analysis using Forward Search

cito — 1.1

Building and Training Neural Networks

gggrid — 0.2-0

Draw with 'grid' in 'ggplot2'

lme4breeding — 1.1.0

Breeding-Related Mixed-Effects Models

xdvir — 0.2-0

Render 'LaTeX' in Plots

polle — 1.6.2

Policy Learning

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

rswipl — 10.1.1.1

Embed 'SWI'-'Prolog'

rolog — 0.9.24

Query 'SWI'-'Prolog' from R

parabar — 1.4.2

Progress Bar for Parallel Tasks

negligible — 0.1.11

A Collection of Functions for Negligible Effect/Equivalence Testing

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

ProAE — 1.0.4

PRO-CTCAE Scoring, Analysis, and Graphical Tools

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

box.lsp — 0.1.3

Provides 'box' Compatibility for 'languageserver'

DiceOptim — 2.1.2

Kriging-Based Optimization for Computer Experiments

YatchewTest — 1.1.1

Yatchew (1997), De Chaisemartin & D'Haultfoeuille (2024) Linearity Test

box.linters — 0.10.7

Linters for 'box' Modules

coRanking — 0.2.5

Co-Ranking Matrix

transforEmotion — 0.1.7

Sentiment Analysis for Text, Image and Video using Transformer Models

rhino — 1.11.0

A Framework for Enterprise Shiny Applications

GPareto — 1.1.9

Gaussian Processes for Pareto Front Estimation and Optimization

psychomix — 1.1-9

Psychometric Mixture Models

protoclust — 1.6.4

Hierarchical Clustering with Prototypes

DIDmultiplegt — 2.0.0

Estimators DID with Multiple Groups and Periods

waywiser — 0.6.3

Ergonomic Methods for Assessing Spatial Models

sasr — 0.1.5

'SAS' Interface

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

pcaL1 — 1.5.9

L1-Norm PCA Methods

modelObj — 4.3

A Model Object Framework for Regression Analysis

policytree — 1.2.3

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

diffusionMap — 1.2.0

Diffusion Map

RMark — 3.0.7

R Code for Mark Analysis

rnames — 1.0.1

Recursive Display of Items in Nested Lists

DIDHAD — 2.0.0

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

KrigInv — 1.4.2

Kriging-Based Inversion for Deterministic and Noisy Computer Experiments

anMC — 0.2.5

Compute High Dimensional Orthant Probabilities

gridBezier — 1.1-1

Bezier Curves in 'grid'

BFpack — 1.5.3

Flexible Bayes Factor Testing of Scientific Expectations

nprobust — 0.5.0

Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation

vwline — 0.2-4

Draw Variable-Width Lines

cccd — 1.6

Class Cover Catch Digraphs

rdss — 1.0.14

Companion Datasets and Functions for Research Design in the Social Sciences

difR — 6.1.0

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

nmarank — 0.3-0.1

Complex Hierarchy Questions in Network Meta-Analysis

disdat — 1.0-1

Data for Comparing Species Distribution Modeling Methods

enhancer — 1.1.0

Mixed-Effects Models Enhancing Functions

NormPsy — 1.0.8

Normalisation of Psychometric Tests

maps — 3.4.3

Draw Geographical Maps

ncdfCF — 0.8.1

Easy Access to NetCDF Files with CF Metadata Conventions

ifaTools — 0.23

Toolkit for Item Factor Analysis with 'OpenMx'

classGraph — 0.7-7

Construct Graphs of S4 Class Hierarchies

perryExamples — 0.1.1

Examples for Integrating Prediction Error Estimation into Regression Models

foreign — 0.8-91

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

taxalight — 0.1.5

A Lightweight and Lightning-Fast Taxonomic Naming Interface

QuickJSR — 1.9.0

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

DOT — 0.1

Render and Export DOT Graphs in R

future.tests — 0.9.0

Test Suite for 'Future API' Backends

ConvergenceConcepts — 1.2.3

Seeing Convergence Concepts in Action

MetaUtility — 2.1.2

Utility Functions for Conducting and Interpreting Meta-Analyses

brfinance — 0.6.0

Simplified Access to Brazilian Financial and Macroeconomic Data

simFrame — 0.5.4

Simulation Framework

available — 1.1.0

Check if the Title of a Package is Available, Appropriate and Interesting

sperrorest — 3.0.5

Perform Spatial Error Estimation and Variable Importance Assessment

mpr — 1.0.6

Multi-Parameter Regression (MPR)

EValue — 4.1.4

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

RobLox — 1.2.3

Optimally Robust Influence Curves and Estimators for Location and Scale

rstan — 2.32.7

R Interface to Stan

spatialsample — 0.6.1

Spatial Resampling Infrastructure

tidydr — 0.0.6

Unify Dimensionality Reduction Results

StanHeaders — 2.32.10

C++ Header Files for Stan

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

ssgraph — 1.16

Bayesian Graph Structure Learning using Spike-and-Slab Priors

loo — 2.9.0

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

sdPrior — 1.0-0

Scale-Dependent Hyperpriors in Structured Additive Distributional Regression

KONPsurv — 1.0.4

KONP Tests: Powerful K-Sample Tests for Right-Censored Data

xLLiM — 2.3

High Dimensional Locally-Linear Mapping

RcppParallel — 5.1.11-1

Parallel Programming Tools for 'Rcpp'

otrimle — 2.0

Robust Model-Based Clustering

posterior — 1.6.1

Tools for Working with Posterior Distributions

fxregime — 1.0-4

Exchange Rate Regime Analysis