mlpwr 1.1.1

Added 5 new vignettes contributed by Marc Egli with walkthroughs through various applications: ANOVA, GLM, IRT, multilevel model, t-test.

mlpwr 1.1.0

Introducing some new features:

• Added an option to specify custom aggregate functions and noise functions in find.design(), allowing for more flexibility in handling Monte Carlo simulations.
• Added a new function, simulated_data(), to investigate data from the evaluations.

Also added a vignette “extensions” showcasing the new features, including:

• Sensitivity analysis and compromise analysis.
• Inhomogeneous cost functions.
• Search using three-dimensional study designs.

mlpwr 1.0.1

• Hotfix for an error that prevented terminating in some cases
• Hotfix for some fitting issues for logistic regression and SVR

mlpwr 1.0.0