yrosseel/lavaan

🌌 The R easystats-project

Mixed-effects models in R using S4 classes and methods with RcppEigen

simple and scalable statistical modelling in R

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Easily install and load the tidymodels packages

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

📊 Computation and processing of models' parameters

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference