R: Two-Part Estimation of Treatment Rules for Semi-Continuous Data

# Two-Part Estimation of Treatment Rules for Semi-Continuous Data

## Documentation for package ‘personalized2part’ version 0.0.2

- DESCRIPTION file
- Package README

## Help Pages

cv.hd2part | Cross validation for hd2part models
fit_subgroup_2part | Fitting subgroup identification models for semicontinuous positive outcomes
hd2part | Main fitting function for group lasso and cooperative lasso penalized two part models
hdgamma | Fitting function for lasso penalized gamma GLMs
HDtweedie_kfold_aug | Fit a penalized gamma augmentation model via cross fitting
plot.cv.hd2part | Plot method for hd2part fitted objects
plot.hd2part | Plot method for hd2part fitted objects
predict.cv.hd2part | Prediction function for fitted cross validation hd2part objects
predict.hd2part | Prediction method for two part fitted objects
sim_semicontinuous_data | Generates data from a two part distribution with a point mass at zero and heterogeneous treatment effects