Add an additional model to the propensity score ensemble — add_propensity_score

This adds a learner to the ensemble used for estimating propensity scores.

add_propensity_score_model(hte_cfg, model_name, ...)

Arguments

hte_cfg: HTE_cfg object to update.
model_name: Character indicating the name of the model to incorporate into the propensity score ensemble. Possible values use SuperLearner naming conventions. A full list is available with SuperLearner::listWrappers("SL")
...: Parameters over which to grid-search for this model class.

Updated HTE_cfg object

library("dplyr")
basic_config() %>%
   add_propensity_score_model("SL.glmnet", alpha = c(0, 0.5, 1)) -> hte_cfg