Best predictor function from causal_forest
Usage
best_predictor(data, covariate_names, cuts = 20)
Arguments
- data
A data.frame of covariates
- covariate_names
A character vector of covariates to assess
- cuts
Either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which each covariate is to be cut.
Value
a data.frame of the best predictors