Trending packages

dcmstan — 0.1.0

Generate 'Stan' Code for Diagnostic Classification Models

dagitty — 0.3-4

Graphical Analysis of Structural Causal Models

pbdZMQ — 0.3-14

Programming with Big Data -- Interface to 'ZeroMQ'

vasicekreg — 1.0.2

Regression Modeling Using Vasicek Distribution

IRkernel — 1.3.2

Native R Kernel for the 'Jupyter Notebook'

IRdisplay — 1.1

'Jupyter' Display Machinery

SKAT — 2.2.5

SNP-Set (Sequence) Kernel Association Test

SPAtest — 3.1.2

Score Test and Meta-Analysis Based on Saddlepoint Approximation

paisaje — 0.2.0

Spatial and Environmental Data Tools for Landscape Ecology

repr — 1.1.7

Serializable Representations

rdcmchecks — 0.1.0

Common Argument Checks for 'r-dcm' Packages

negligible — 0.1.11

A Collection of Functions for Negligible Effect/Equivalence Testing

ProAE — 1.0.4

PRO-CTCAE Scoring, Analysis, and Graphical Tools

rswipl — 10.1.1.1

Embed 'SWI'-'Prolog'

enderecobr — 0.5.0

Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)

rstan — 2.32.7

R Interface to Stan

ShrinkageTrees — 1.0.2

Regression Trees with Shrinkage Priors

loo — 2.9.0

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

posterior — 1.6.1

Tools for Working with Posterior Distributions

spatialEco — 2.0-3

Spatial Analysis and Modelling Utilities

StanHeaders — 2.32.10

C++ Header Files for Stan

rolog — 0.9.24

Query 'SWI'-'Prolog' from R

distributional — 0.6.0

Vectorised Probability Distributions

transforEmotion — 0.1.7

Sentiment Analysis for Text, Image and Video using Transformer Models

QuickJSR — 1.8.1

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

inline — 0.3.21

Functions to Inline C, C++, Fortran Function Calls from R

measr — 2.0.0

Bayesian Psychometric Measurement Using 'Stan'

tensorA — 0.36.2.1

Advanced Tensor Arithmetic with Named Indices

RcppParallel — 5.1.11-1

Parallel Programming Tools for 'Rcpp'

V8 — 8.0.1

Embedded JavaScript and WebAssembly Engine for R

INLAtools — 0.0.7

Functionalities for the 'INLA' Package

BFpack — 1.5.3

Flexible Bayes Factor Testing of Scientific Expectations

nmarank — 0.3-0.1

Complex Hierarchy Questions in Network Meta-Analysis

BH — 1.90.0-1

Boost C++ Header Files

matrixStats — 1.5.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

RcppEigen — 0.3.4.0.2

'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library

gridExtra — 2.3

Miscellaneous Functions for "Grid" Graphics

rstantools — 2.6.0

Tools for Developing R Packages Interfacing with 'Stan'

brfinance — 0.6.0

Simplified Access to Brazilian Financial and Macroeconomic Data

checkmate — 2.3.3

Fast and Versatile Argument Checks

pkgbuild — 1.4.8

Find Tools Needed to Build R Packages

matRiks — 0.1.5

Generates Raven-Like Matrices According to Rules

desc — 1.4.3

Manipulate DESCRIPTION Files

EvaluateCore — 0.1.4

Quality Evaluation of Core Collections

bayesplot — 1.15.0

Plotting for Bayesian Models

hash — 2.2.6.3

Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries

MeasurementDiagnostics — 0.2.0

Diagnostics for Lists of Codes Based on Measurements

pillar — 1.11.1

Coloured Formatting for Columns

configr — 0.3.5

An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)

tidydr — 0.0.6

Unify Dimensionality Reduction Results

vctrs — 0.7.0

Vector Helpers

abind — 1.4-8

Combine Multidimensional Arrays

numDeriv — 2016.8-1.1

Accurate Numerical Derivatives

shinystan — 2.7.0

Interactive Visual and Numerical Diagnostics and Posterior Analysis for Bayesian Models

threejs — 0.3.4

Interactive 3D Scatter Plots, Networks and Globes

inlabru — 2.13.0

Bayesian Latent Gaussian Modelling using INLA and Extensions

odbc — 1.6.4.1

Connect to ODBC Compatible Databases (using the DBI Interface)

enhancer — 1.1.0

Mixed-Effects Models Enhancing Functions

bridgesampling — 1.2-1

Bridge Sampling for Marginal Likelihoods and Bayes Factors

BioCro — 3.3.0

Modular Crop Growth Simulations

callr — 3.7.6

Call R from R

valdr — 2.1.0

Access and Analyse 'VALD' Data via Our External 'APIs'

Brobdingnag — 1.2-9

Very Large Numbers in R

colourpicker — 1.3.0

A Colour Picker Tool for Shiny and for Selecting Colours in Plots

resilience — 2025.1.1

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

shinythemes — 1.2.0

Themes for Shiny

data.table — 1.18.0

Extension of `data.frame`

processx — 3.8.6

Execute and Control System Processes

INLAspacetime — 0.1.13

Spatial and Spatio-Temporal Models using 'INLA'

rjags — 4-17

Bayesian Graphical Models using MCMC

networkscaleup — 0.2-1

Network Scale-Up Models for Aggregated Relational Data

brms — 2.23.0

Bayesian Regression Models using 'Stan'

isoband — 0.3.0

Generate Isolines and Isobands from Regularly Spaced Elevation Grids

nleqslv — 3.3.5

Solve Systems of Nonlinear Equations

lsoda — 1.2

'C++' Header Library for Ordinary Differential Equations

lifecycle — 1.0.5

Manage the Life Cycle of your Package Functions

ggridges — 0.5.7

Ridgeline Plots in 'ggplot2'

Rcpp — 1.1.1

Seamless R and C++ Integration

easybgm — 0.3.1

Extracting and Visualizing Bayesian Graphical Models

dygraphs — 1.1.1.6

Interface to 'Dygraphs' Interactive Time Series Charting Library

curl — 7.0.0

A Modern and Flexible Web Client for R

utf8 — 1.2.6

Unicode Text Processing

backports — 1.5.0

Reimplementations of Functions Introduced Since R-3.0.0

shinyjs — 2.1.1

Easily Improve the User Experience of Your Shiny Apps in Seconds

S7 — 0.2.1

An Object Oriented System Meant to Become a Successor to S3 and S4

gamstransfer — 3.0.8

A Data Interface Between 'GAMS' and R

CalibrationCurves — 3.0.0

Calibration Performance

coda — 0.19-4.1

Output Analysis and Diagnostics for MCMC

uuid — 1.2-1

Tools for Generating and Handling of UUIDs

otel — 0.2.0

OpenTelemetry R API

ps — 1.9.1

List, Query, Manipulate System Processes

coxphf — 1.13.4

Cox Regression with Firth's Penalized Likelihood

glue — 1.8.0

Interpreted String Literals

otelsdk — 0.2.2

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

rlang — 1.1.7

Functions for Base Types and Core R and 'Tidyverse' Features

mlr3pipelines — 0.10.0

Preprocessing Operators and Pipelines for 'mlr3'

fracdiff — 1.5-3

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

forecast — 9.0.0

Forecasting Functions for Time Series and Linear Models

cli — 3.6.5

Helpers for Developing Command Line Interfaces

mlr3tuning — 1.5.1

Hyperparameter Optimization for 'mlr3'