CalcScore: Matrix of score for the propensity score.

In gpapadog/Interference: Causal inference with interference for realistic regimes

Matrix of score for the propensity score.

Description

Matrix of score for the propensity score.

Usage

CalcScore(
  dta,
  neigh_ind = NULL,
  phi_hat,
  cov_cols,
  trt_name = NULL,
  integral_bound = 10
)

Arguments

dta	The data set including (at least) the treatment and covaratiates.
neigh_ind	A list including one element for each neighborhood. That element includes the indices of the observations in dta that belong to each neighborhood. Can be left NULL if dta includes a column neigh.
phi_hat	A list with two elements. The first one is a vector of coefficients of the propensity score, and the second one is the random effect variance.
cov_cols	The indeces including the covariates of the propensity score model.
trt_name	The name of the treatment column. If it is 'A', you can leave NULL.

gpapadog/Interference documentation built on Oct. 30, 2022, 9:20 p.m.