easystats/bayestestR

📊 Computation and processing of models' parameters

Exploratory analysis of Bayesian models with Python

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

🌌 The R easystats-project

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Visualizations of distributions and uncertainty

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

simple and scalable statistical modelling in R

Easily install and load the tidymodels packages