Trending packages

caugi — 1.0.0

Causal Graph Interface

RSpincalc — 1.0.2

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

micd — 1.1.2

Multiple Imputation in Causal Graph Discovery

RelDists — 1.0.1

Estimation for some Reliability Distributions

adaR — 0.3.5

A Fast 'WHATWG' Compliant URL Parser

causalDisco — 1.0.1

Tools for Causal Discovery on Observational Data

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

Ravages — 1.2.0

Rare Variant Analysis and Genetic Simulations

ggFishPlots — 0.4.0

Visualise and Calculate Life History Parameters for Fisheries Science using 'ggplot2'

pctax — 0.1.7

Professional Comprehensive Omics Data Analysis

rib — 0.30.4

An Implementation of 'Interactive Brokers' API

emcAdr — 1.3

Evolutionary Version of the Metropolis-Hastings Algorithm

taylor — 4.0.0

Lyrics and Song Data for Taylor Swift's Discography

HTGM3D — 1.0.2

Three Dimensional High Throughput 'GoMiner'

TreatmentPatterns — 3.1.2

Analyzes Real-World Treatment Patterns of a Study Population of Interest

grf — 2.6.0

Generalized Random Forests

RSP — 0.5

'shiny' Applications for Statistical and Psychometric Analysis

sparsegl — 1.1.1

Sparse Group Lasso

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

ggtime — 0.2.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

spotifyr — 2.2.5

R Wrapper for the 'Spotify' Web API

BFpack — 1.5.3

Flexible Bayes Factor Testing of Scientific Expectations

RMark — 3.0.7

R Code for Mark Analysis

RProtoBuf — 0.4.25

R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)

babynames — 1.0.1

US Baby Names 1880-2017

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

brfinance — 0.8.0

Access to Brazilian Macroeconomic and Financial Time Series

fishmethods — 1.13-1

Fishery Science Methods and Models

EvaluateCore — 0.1.4

Quality Evaluation of Core Collections

resilience — 2025.1.1

Predictors of Resilience to a Stressor in a Single-Arm Study

easybgm — 0.3.1

Extracting and Visualizing Bayesian Graphical Models

CDMConnector — 2.4.0

Connect to an OMOP Common Data Model

CalibrationCurves — 3.0.0

Calibration Performance

INLAtools — 0.0.9

Functionalities for the 'INLA' Package

gRain — 1.4.6

Bayesian Networks

repurrrsive — 1.1.0

Examples of Recursive Lists and Nested or Split Data Frames

gRbase — 2.0.3

A Package for Graphical Modelling in R

BGGM — 2.1.6

Bayesian Gaussian Graphical Models

duckplyr — 1.2.0

A 'DuckDB'-Backed Version of 'dplyr'

salesforcer — 1.0.2

An Implementation of 'Salesforce' APIs Using Tidy Principles

metaBMA — 0.6.9

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

duckdb — 1.4.4

DBI Package for the DuckDB Database Management System

gapminder — 1.0.1

Data from Gapminder

INLAspacetime — 0.1.13

Spatial and Spatio-Temporal Models using 'INLA'

netmeta — 3.3-1

Network Meta-Analysis using Frequentist Methods

tidymodels — 1.4.1

Easily Install and Load the 'Tidymodels' Packages

CAESAR.Suite — 0.3.0

CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation

remotes — 2.5.0

R Package Installation from Remote Repositories, Including 'GitHub'

tidydr — 0.0.6

Unify Dimensionality Reduction Results

logistf — 1.26.1

Firth's Bias-Reduced Logistic Regression

ridigbio — 0.4.1

Interface to the iDigBio Data API

spocc — 1.2.4

Interface to Species Occurrence Data Sources

RSpectra — 0.16-2

Solvers for Large-Scale Eigenvalue and SVD Problems

mlr3misc — 0.21.0

Helper Functions for 'mlr3'

palmerpenguins — 0.1.1

Palmer Archipelago (Antarctica) Penguin Data

readepi — 1.0.4

Read Data from Relational Database Management Systems and Health Information Systems

lattice — 0.22-9

Trellis Graphics for R

foreign — 0.8-91

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

coxphf — 1.13.4

Cox Regression with Firth's Penalized Likelihood

clarabel — 0.11.2

Interior Point Conic Optimization Solver

cluster — 2.1.8.2

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

CausalImpact — 1.4.1

Inferring Causal Effects using Bayesian Structural Time-Series Models

mlr3 — 1.5.0

Machine Learning in R - Next Generation

clisymbols — 1.2.0

Unicode Symbols at the R Prompt

contentanalysis — 0.2.1

Scientific Content and Citation Analysis from PDF Documents

mlr3pipelines — 0.11.0

Preprocessing Operators and Pipelines for 'mlr3'

fracdiff — 1.5-3

Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models

bbotk — 1.9.0

Black-Box Optimization Toolkit

odbc — 1.6.4.1

Connect to ODBC Compatible Databases (using the DBI Interface)

nycflights13 — 1.0.2

Flights that Departed NYC in 2013

hexbin — 1.28.5

Hexagonal Binning Routines

BayesChange — 2.2.0

Bayesian Methods for Change Point Analysis

urca — 1.3-4

Unit Root and Cointegration Tests for Time Series Data

leaflet — 2.2.3

Create Interactive Web Maps with the JavaScript 'Leaflet' Library

forecast — 9.0.1

Forecasting Functions for Time Series and Linear Models

mlr3tuning — 1.5.1

Hyperparameter Optimization for 'mlr3'

ggthemes — 5.2.0

Extra Themes, Scales and Geoms for 'ggplot2'

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

archdata — 1.2-1

Example Datasets from Archaeological Research

DiceKriging — 1.6.1

Kriging Methods for Computer Experiments

graphlayouts — 1.2.3

Additional Layout Algorithms for Network Visualizations

missMDA — 1.21

Handling Missing Values with Multivariate Data Analysis

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

rugarch — 1.5-4

Univariate GARCH Models

paradox — 1.0.1

Define and Work with Parameter Spaces for Complex Algorithms

mlr3measures — 1.2.0

Performance Measures for 'mlr3'

Lahman — 14.0-0

Sean 'Lahman' Baseball Database

gaston — 1.6

Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models

FNN — 1.1.4.1

Fast Nearest Neighbor Search Algorithms and Applications

clue — 0.3-67

Cluster Ensembles

ergm — 4.12.0

Fit, Simulate and Diagnose Exponential-Family Models for Networks

box — 1.2.1

Write Reusable, Composable and Modular R Code