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