Trending packages

metabook — 0.2-0

Data Sets and Code for "Meta-Analysis with R"

RobustIV — 0.3.1

Robust Instrumental Variable Methods in Linear Models

graphicalExtremes — 0.3.5

Statistical Methodology for Graphical Extreme Value Models

rsamplr — 0.2.0

Sampling Algorithms and Spatially Balanced Sampling

WRI — 0.2.3

Wasserstein Regression and Inference

fude — 0.4.1

Utilities for Fude Polygon

aramappings — 0.2.0

Computes Adaptable Radial Axes Mappings

synthesisr — 0.4.1

Import, Assemble, and Deduplicate Bibliographic Datasets

Riemann — 0.1.7

Learning with Data on Riemannian Manifolds

meteo — 2.0-4

RFSI & STRK Interpolation for Meteo and Environmental Variables

SIHR — 2.1.1

Statistical Inference in High Dimensional Regression

MaximinInfer — 2.1.0

Inference for Maximin Effects in High-Dimensional Settings

HonestDiD — 0.2.7

Robust Inference in Difference-in-Differences and Event Study Designs

EQUALPrognosis — 0.1.3

Analysing Prognostic Studies

PlackettLuce — 0.4.5

Plackett-Luce Models for Rankings

cellGeometry — 0.6.2

Geometric Single Cell Deconvolution

power4mome — 0.2.1

Power Analysis for Moderation and Mediation

EmpiricalDynamics — 0.1.3

Empirical Discovery of Differential Equations from Time Series Data

spBPS — 1.0-1

Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning

Require — 1.0.1

Installing and Loading R Packages for Reproducible Workflows

DebiasInfer — 0.2.1

Efficient Inference on High-Dimensional Linear Model with Missing Outcomes

Rdimtools — 1.1.4

Dimension Reduction and Estimation Methods

rollama — 0.3.0

Communicate with 'Ollama' to Run Large Language Models Locally

wdnet — 1.2.4

Weighted and Directed Networks

SLSEdesign — 0.1.0

Optimal Regression Design under the Second-Order Least Squares Estimator

scpi — 3.0.2

Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption

RSpincalc — 1.0.2

Conversion Between Attitude Representations of DCM, Euler Angles, Quaternions, and Euler Vectors

msaenet — 3.1.2

Multi-Step Adaptive Estimation Methods for Sparse Regressions

tramnet — 0.0-991

Penalized Transformation Models

GPBayes — 0.1.0-6

Tools for Gaussian Process Modeling in Uncertainty Quantification

serocalculator — 1.4.1

Estimating Infection Rates from Serological Data

nimbleQuad — 1.4.0

Laplace Approximation, Quadrature, and Nested Deterministic Approximation Methods for 'nimble'

pak — 0.9.2

Another Approach to Package Installation

adaR — 0.3.5

A Fast 'WHATWG' Compliant URL Parser

clarabel — 0.11.2

Interior Point Conic Optimization Solver

httpgd — 2.1.4

A 'HTTP' Server Graphics Device

marquee — 1.2.1

Markdown Parser and Renderer for R Graphics

babynames — 1.0.1

US Baby Names 1880-2017

suntools — 1.1.0

Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight

mvQuad — 1.0-10

Methods for Multivariate Quadrature

RMark — 3.0.7

R Code for Mark Analysis

evola — 1.0.7

Evolutionary Algorithm

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

ismev — 1.43

An Introduction to Statistical Modeling of Extreme Values

fpCompare — 0.2.4

Reliable Comparison of Floating Point Numbers

baseballr — 1.6.0

Acquiring and Analyzing Baseball Data

susieR — 0.14.2

Sum of Single Effects Linear Regression

repurrrsive — 1.1.0

Examples of Recursive Lists and Nested or Split Data Frames

lme4breeding — 1.1.1

Breeding-Related Mixed-Effects Models

nlme — 3.1-169

Linear and Nonlinear Mixed Effects Models

CalibrationCurves — 3.1.0

Calibration Performance

cito — 1.1

Building and Training Neural Networks

parabar — 1.4.2

Progress Bar for Parallel Tasks

rpart — 4.1.27

Recursive Partitioning and Regression Trees

CVXR — 1.8.2

Disciplined Convex Optimization

gapminder — 1.0.1

Data from Gapminder

rhino — 1.11.0

A Framework for Enterprise Shiny Applications

duckdb — 1.5.1

DBI Package for the DuckDB Database Management System

gemtc — 1.1-1

Network Meta-Analysis Using Bayesian Methods

arrangements — 1.1.10

Fast Generators and Iterators for Permutations, Combinations, Integer Partitions and Compositions

xdvir — 0.2-0

Render 'LaTeX' in Plots

tidyRSS — 2.0.7

Tidy RSS for R

DiceOptim — 2.1.2

Kriging-Based Optimization for Computer Experiments

policytree — 1.2.4

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

txtplot — 1.0-5

Text Based Plots

PoissonBinomial — 1.2.8

Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions

qualV — 0.3-5

Qualitative Validation Methods

venn — 1.13

Draw Venn Diagrams

fairml — 0.9.1

Fair Models in Machine Learning

ggpolypath — 0.4.0

Polygons with Holes for the Grammar of Graphics

highs — 1.12.0-3

'HiGHS' Optimization Solver

tidymodels — 1.4.1

Easily Install and Load the 'Tidymodels' Packages

eeptools — 1.2.7

Convenience Functions for Education Data

gamstransfer — 3.0.8

A Data Interface Between 'GAMS' and R

ggtime — 0.2.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

declared — 0.26

Functions for Declared Missing Values

gge — 1.10

Genotype Plus Genotype-by-Environment Biplots

Infusion — 2.3.0

Inference Using Simulation

ncdfCF — 0.8.2

Easy Access to NetCDF Files with CF Metadata Conventions

RBesT — 1.9-0

R Bayesian Evidence Synthesis Tools

fastVoteR — 0.0.1

Efficient Voting Methods for Committee Selection

GLMsData — 1.4

Generalized Linear Model Data Sets

box.linters — 0.10.7

Linters for 'box' Modules

diffdf — 1.1.2

Dataframe Difference Tool

aplore3 — 0.9

Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013)

ggarrow — 0.1.1

Arrows for 'ggplot2'

logmult — 0.7.5

Log-Multiplicative Models, Including Association Models

exactci — 1.4-5

Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric Cases

patrick — 0.3.1

Parameterized Unit Testing

mlr3fda — 0.4.0

Extending 'mlr3' to Functional Data Analysis

shinychat — 0.3.0

Chat UI Component for 'shiny'

unigd — 0.2.0

Universal Graphics Device

tabnet — 0.8.0

Fit 'TabNet' Models for Classification and Regression

duckplyr — 1.2.1

A 'DuckDB'-Backed Version of 'dplyr'

gglm — 1.0.5

Grammar of Graphics for Linear Model Diagnostic Plots

ssanv — 1.1

Sample Size Adjusted for Nonadherence or Variability of Input Parameters

formatters — 0.5.12

ASCII Formatting for Values and Tables

DIDmultiplegtDYN — 2.3.3

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

ozmaps — 0.4.5

Australia Maps

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code