SDModels 1.0.10
- Added feature to select some predictors not to be regularized closes
option to use some covariates not regularized in SDAM #4
- Fix the length of the coefficient list to the number of predictors
and name the elements
- change predict_individual_j to expect a numeric new data vector
instead of a whole data.frame
SDModels 1.0.9
- Add the option to select some variables as predictors in SDTree and
SDForest.
SDModels 1.0.8
- Fix various bugs on edge cases with just one variable or just one
tree
- SDForest, regPath.SDTree, regPath.SDForest, predict.SDForest,
prune.SDForest, varImp.SDTree
SDModels 1.0.7
- Fix bug in estimation of SDTree when using only one covariate (did
stop splitting after one split)
- Add support to predict with an SDForest using multiple cores in
parallel
SDModels 1.0.6
- Fix bug in SDTree.predict(), when predicting using only one
covariate
SDModels 1.0.5
- Fix bug in plot of paths using plotly (remove expression Pi in case
of plotly)
SDModels 1.0.4