Function to learn model for CATE using k-fold cross validation
Arguments
- df
dataframe containing full dataset
- Z_list
character vector containing names of variables in df to use to fit CATE model (variables used in treatment rule)
- k_fold_assign_and_CATE
dataframe containing ids, fold assignments, and CATE estimate for each observation in df
- sl.library.CATE
character vector of SuperLearner libraries to use to fit the CATE model
- validRows
validRows SuperLearner row assignments from nuisance models using all rows in data (missingness, treatment models)