propensity_score: propensity_score

In rzgross/uRbanmatching:

Description

Calculates propensity scores for a given matrix and treatment vector. Takes in an input matrix and a treatment vector, along with a function that makes predictions (default xgboost method given) and returns a predicted probability of treatment for each unit, either using in-sample or out-of-sample fits.

Usage

propensity_score(x_mat, treat_vec, propensity_list = gen_propensity_list())

Arguments

x_mat	Standard input matrix (already rank adjusted).
treat_vec	Usual 0/1 treatment vector.
propensity_list	See gen_propensity_list

Value

Returns a vector equal in length to treat_vec of propensity score.

rzgross/uRbanmatching documentation built on Dec. 22, 2021, 8:20 p.m.