Analysis and Visualization of Interconnected Multilayer Networks

Estimated marginal means

rstanarm R package for Bayesian applied regression modeling

🐉 Compute and work with indices of effect size and standardized parameters

Inside every classical test there is a Bayesian model trying to get out.

Harmonization of multi-site imaging data with ComBat

Feature Extraction And Statistics for Time Series

Plotting tool for brain atlases, in ggplot

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

shinystan R package and ShinyStan GUI

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduc…

CmdStanR: the R interface to CmdStan

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Covers the basics of mixed models, mostly using @lme4

BayesFactor R package for Bayesian data analysis with common statistical models.

R package for statistical inference using partially observed Markov processes

A minimalistic presentation theme for Quarto + Typst by Touying

Projection predictive variable selection

An R package for processing and plotting of electroencephalography (EEG) data

An R package for Bayesian structural equation modeling

Suite of sensitivity analysis tools for OLS

R package: R.matlab

R package lcmm

A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

Regression with functional data

Bindings for Bayesian TidyModels

Bayesian Linear Mixed Effect Models

Bayesian Inference of Complex Panel Data

❗ This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https://pcalg.r-forge.r-project.org/