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

adaR — 0.3.5

A Fast 'WHATWG' Compliant URL Parser

micd — 1.1.2

Multiple Imputation in Causal Graph Discovery

RelDists — 1.0.1

Estimation for some Reliability Distributions

causalDisco — 1.0.1

Tools for Causal Discovery on Observational Data

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

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 — 2.5.0

Generalized Random Forests

sparsegl — 1.1.1

Sparse Group Lasso

RSP — 0.5

'shiny' Applications for Statistical and Psychometric Analysis

geocodebr — 0.6.1

Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

ggtime — 0.2.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

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)

childsds — 0.9.11

Data and Methods Around Reference Values in Pediatrics

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)

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

babynames — 1.0.1

US Baby Names 1880-2017

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

INLAtools — 0.0.9

Functionalities for the 'INLA' Package

easybgm — 0.3.1

Extracting and Visualizing Bayesian Graphical Models

gRain — 1.4.6

Bayesian Networks

CDMConnector — 2.4.0

Connect to an OMOP Common Data Model

CalibrationCurves — 3.0.0

Calibration Performance

gRbase — 2.0.3

A Package for Graphical Modelling in R

BGGM — 2.1.6

Bayesian Gaussian Graphical Models

repurrrsive — 1.1.0

Examples of Recursive Lists and Nested or Split Data Frames

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

INLAspacetime — 0.1.13

Spatial and Spatio-Temporal Models using 'INLA'

duckdb — 1.4.4

DBI Package for the DuckDB Database Management System

netmeta — 3.3-1

Network Meta-Analysis using Frequentist Methods

gapminder — 1.0.1

Data from Gapminder

remotes — 2.5.0

R Package Installation from Remote Repositories, Including 'GitHub'

str2str — 1.0.0

Convert R Objects from One Structure to Another

tidydr — 0.0.6

Unify Dimensionality Reduction Results

CAESAR.Suite — 0.3.0

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

RSpectra — 0.16-2

Solvers for Large-Scale Eigenvalue and SVD Problems

mlr3misc — 0.21.0

Helper Functions for 'mlr3'

logistf — 1.26.1

Firth's Bias-Reduced Logistic Regression

tidymodels — 1.4.1

Easily Install and Load the 'Tidymodels' Packages

ridigbio — 0.4.1

Interface to the iDigBio Data API

spocc — 1.2.4

Interface to Species Occurrence Data Sources

maditr — 0.8.7

Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'

odbc — 1.6.4.1

Connect to ODBC Compatible Databases (using the DBI Interface)

lattice — 0.22-9

Trellis Graphics for R

coxphf — 1.13.4

Cox Regression with Firth's Penalized Likelihood

foreign — 0.8-91

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

cluster — 2.1.8.2

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

mlr3 — 1.5.0

Machine Learning in R - Next Generation

contentanalysis — 0.2.1

Scientific Content and Citation Analysis from PDF Documents

CausalImpact — 1.4.1

Inferring Causal Effects using Bayesian Structural Time-Series Models

readepi — 1.0.4

Read Data from Relational Database Management Systems and Health Information Systems

fracdiff — 1.5-3

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

palmerpenguins — 0.1.1

Palmer Archipelago (Antarctica) Penguin Data

mlr3pipelines — 0.11.0

Preprocessing Operators and Pipelines for 'mlr3'

constructive — 1.3.0

Display Idiomatic Code to Construct Most R Objects

urca — 1.3-4

Unit Root and Cointegration Tests for Time Series Data

bbotk — 1.9.0

Black-Box Optimization Toolkit

mlr3tuning — 1.5.1

Hyperparameter Optimization for 'mlr3'

forecast — 9.0.1

Forecasting Functions for Time Series and Linear Models

graphlayouts — 1.2.3

Additional Layout Algorithms for Network Visualizations

archdata — 1.2-1

Example Datasets from Archaeological Research

DiceKriging — 1.6.1

Kriging Methods for Computer Experiments

paradox — 1.0.1

Define and Work with Parameter Spaces for Complex Algorithms

clisymbols — 1.2.0

Unicode Symbols at the R Prompt

nycflights13 — 1.0.2

Flights that Departed NYC in 2013

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

mlr3measures — 1.2.0

Performance Measures for 'mlr3'

BayesChange — 2.2.0

Bayesian Methods for Change Point Analysis

bnlearn — 5.1

Bayesian Network Structure Learning, Parameter Learning and Inference

hexbin — 1.28.5

Hexagonal Binning Routines

lsoda — 1.2

'C++' Header Library for Ordinary Differential Equations

ergm — 4.12.0

Fit, Simulate and Diagnose Exponential-Family Models for Networks

rugarch — 1.5-4

Univariate GARCH Models

mlr3learners — 0.14.0

Recommended Learners for 'mlr3'

leaflet — 2.2.3

Create Interactive Web Maps with the JavaScript 'Leaflet' Library

clue — 0.3-67

Cluster Ensembles

otelsdk — 0.2.2

'R' 'SDK' and Exporters for 'OpenTelemetry'