An R Package to Fit and Tune to Models to Detect Treatment Effect Heterogeneity
GPL-3.0 License
Compute and work with indices of effect size and standardized parameters
Build and Tune Several Models
Estimate effects, contrasts and means based on statistical models
Stochastic Gradient Descent log-likelihood estimation in Cox proportional hazards model
R package implementing Peters-Belson with Prognostic Heterogeneity
Tools for regression using pre-computed summary statistics
Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus
Likelihood Based Optimal Partitioning
Adaptation of Virtual Twins method from Jared Foster
R package for Data driven smooth tests
This R-package provides additional functions that help you convey regression models. It has also ...
Computation and processing of models' parameters
A friendly MCMC framework
Technical data sets by Ruijter et al. (2013)
Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)