Trending packages

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'

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

mathml — 1.7

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

evola — 1.0.7

Evolutionary Algorithm

crane — 0.3.1

Supplements the 'gtsummary' Package for Pharmaceutical Reporting

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

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

forward — 1.0.7

Robust Analysis using Forward Search

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

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

rolog — 0.9.24

Query 'SWI'-'Prolog' from R

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

negligible — 0.1.11

A Collection of Functions for Negligible Effect/Equivalence Testing

polle — 1.6.2

Policy Learning

ProAE — 1.0.4

PRO-CTCAE Scoring, Analysis, and Graphical Tools

rswipl — 10.1.1.1

Embed 'SWI'-'Prolog'

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

parabar — 1.4.2

Progress Bar for Parallel Tasks

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

box.lsp — 0.1.3

Provides 'box' Compatibility for 'languageserver'

YatchewTest — 1.1.1

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

transforEmotion — 0.1.7

Sentiment Analysis for Text, Image and Video using Transformer Models

DiceOptim — 2.1.2

Kriging-Based Optimization for Computer Experiments

GPareto — 1.1.9

Gaussian Processes for Pareto Front Estimation and Optimization

coRanking — 0.2.5

Co-Ranking Matrix

box.linters — 0.10.7

Linters for 'box' Modules

psychomix — 1.1-9

Psychometric Mixture Models

rhino — 1.11.0

A Framework for Enterprise Shiny Applications

DIDmultiplegt — 2.0.0

Estimators DID with Multiple Groups and Periods

DynTxRegime — 4.16

Methods for Estimating Optimal Dynamic Treatment Regimes

waywiser — 0.6.3

Ergonomic Methods for Assessing Spatial Models

modelObj — 4.3

A Model Object Framework for Regression Analysis

tabnet — 0.8.0

Fit 'TabNet' Models for Classification and Regression

policytree — 1.2.3

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

diffusionMap — 1.2.0

Diffusion Map

sasr — 0.1.5

'SAS' Interface

DIDHAD — 2.0.0

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

protoclust — 1.6.4

Hierarchical Clustering with Prototypes

DIDmultiplegtDYN — 2.3.0

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

rnames — 1.0.1

Recursive Display of Items in Nested Lists

pcaL1 — 1.5.9

L1-Norm PCA Methods

gridBezier — 1.1-1

Bezier Curves in 'grid'

KrigInv — 1.4.2

Kriging-Based Inversion for Deterministic and Noisy Computer Experiments

anMC — 0.2.5

Compute High Dimensional Orthant Probabilities

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

rdss — 1.0.14

Companion Datasets and Functions for Research Design in the Social Sciences

tramME — 1.0.8

Transformation Models with Mixed Effects

cccd — 1.6

Class Cover Catch Digraphs

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

spatialsample — 0.6.1

Spatial Resampling Infrastructure

enhancer — 1.1.0

Mixed-Effects Models Enhancing Functions

NormPsy — 1.0.8

Normalisation of Psychometric Tests

maps — 3.4.3

Draw Geographical Maps

RMark — 3.0.7

R Code for Mark Analysis

ncdfCF — 0.8.1

Easy Access to NetCDF Files with CF Metadata Conventions

foreign — 0.8-91

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

classGraph — 0.7-7

Construct Graphs of S4 Class Hierarchies

perryExamples — 0.1.1

Examples for Integrating Prediction Error Estimation into Regression Models

ifaTools — 0.23

Toolkit for Item Factor Analysis with 'OpenMx'

taxalight — 0.1.5

A Lightweight and Lightning-Fast Taxonomic Naming Interface

future.tests — 0.9.0

Test Suite for 'Future API' Backends

INLAtools — 0.0.8

Functionalities for the 'INLA' Package

ConvergenceConcepts — 1.2.3

Seeing Convergence Concepts in Action

available — 1.1.0

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

DOT — 0.1

Render and Export DOT Graphs in R

brfinance — 0.6.0

Simplified Access to Brazilian Financial and Macroeconomic Data

mpr — 1.0.6

Multi-Parameter Regression (MPR)

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

RobLox — 1.2.3

Optimally Robust Influence Curves and Estimators for Location and Scale

PMA — 1.2-4

Penalized Multivariate Analysis

tidydr — 0.0.6

Unify Dimensionality Reduction Results

simFrame — 0.5.4

Simulation Framework

sperrorest — 3.0.5

Perform Spatial Error Estimation and Variable Importance Assessment

otrimle — 2.0

Robust Model-Based Clustering

KONPsurv — 1.0.4

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

sdPrior — 1.0-0

Scale-Dependent Hyperpriors in Structured Additive Distributional Regression

ssgraph — 1.16

Bayesian Graph Structure Learning using Spike-and-Slab Priors

GB2 — 2.1.2

Generalized Beta Distribution of the Second Kind: Properties, Likelihood, Estimation

xLLiM — 2.3

High Dimensional Locally-Linear Mapping

LDRTools — 0.2-2

Tools for Linear Dimension Reduction

sftrack — 0.5.4

Modern Classes for Tracking and Movement Data

mafR — 1.1.6

Interface for Masked Autoregressive Flows

cotram — 0.6-0

Count Transformation Models

REPPlab — 0.9.6

R Interface to 'EPP-Lab', a Java Program for Exploratory Projection Pursuit

TRAMPR — 1.0-10

'TRFLP' Analysis and Matching Package for R