bayestestR
bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework - Published in JOSS (2019)
Extracting, Computing and Exploring the Parameters of Statistical Models using R
Extracting, Computing and Exploring the Parameters of Statistical Models using R - Published in JOSS (2020)
performance
performance: An R Package for Assessment, Comparison and Testing of Statistical Models - Published in JOSS (2021)
insight
insight: A Unified Interface to Access Information from Model Objects in R - Published in JOSS (2019)
see
see: An R Package for Visualizing Statistical Models - Published in JOSS (2021)
modelbased
modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions - Published in JOSS (2025)
Methods and Algorithms for Correlation Analysis in R
Methods and Algorithms for Correlation Analysis in R - Published in JOSS (2020)