v0.2.9
In this version upgrade we:
- Dropped importing
KernSmoothandtidyrpackages. - Dropped
pred_modelargument. The package only uses SuperLearner for prediction models. - Added features to use a more optimized algorithm for a commonly used simplified case (scale = 1).
- Added effective sample size.
- Added Kolmogorov-Smirnov (KS) statistics for the generated pseudo-population (uses
Ecumepackage). - Made
sl_liba required argument. - Removed
earthandrangerpackages from mandatory imports. - Standardized the trimming approach to be less confusing for the users.
- Modified internal kernel smoothing approach.
- Renamed a couple of internal parameters for clarity and uniformity in the package.
- Fixed a bug on the covariate balance threshold.