Ypop: Estimates and asymptotic variance of the population average...

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

Estimates and asymptotic variance of the population average potential outcome for known or estimated propensity score model.

Description

Estimates and asymptotic variance of the population average potential outcome for known or estimated propensity score model.

Usage

Ypop(
  ygroup,
  ps = c("true", "estimated"),
  scores = NULL,
  dta = NULL,
  use = "everything"
)

Arguments

ygroup	An array including the group average potential outcome estimates where the dimensions correspond to group, individual treatment and value of alpha.
ps	String. Can take values 'true', or 'estimated' for known or estimated propensity score. Defaults to 'true'.
scores	A matrix with rows corresponding to the parameters of the propensity score model and columns for groups. Includes the score of the propensity score evaluated for the variables of each group. Can be left NULL when ps is set to 'true'.
dta	The data set including the variable neigh. Defaults to NULL. Can be left NULL when the true propensity score is used.
use	Whether the data with missing values will be used for the estimation of the variance. Argument for cov() function. Defaults to 'everything'.

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