gcomp_jack: Estimate the causal effect by G-computation with jackknife...
In Sickle-Sword/kamaken: Useful Toolbox for Data Analysis in Social Science

gcomp_jack

R Documentation

Estimate the causal effect by G-computation with jackknife variance estimation.

Description

Estimate the causal effect by G-computation with jackknife variance estimation.

Usage

gcomp_jack(
  .data,
  .outcome,
  .treatment,
  .formula_rhs,
  .estimand = c("cfmean", "ATE"),
  .weights,
  .repweights,
  .type = c("JK1", "JK2"),
  .by = NULL
)

Arguments

`.data`	A tibble that contains the data.
`.outcome`	The name of the outcome variable.
`.treatment`	The name of the treatment binary variable, only allowed to be 0 or 1.
`.formula_rhs`	The right-hand side of the regression formula.
`.estimand`	Specify the estimand. 'cfmean' or 'ATE'.
`.weights`	The name of the sampling weights.
`.repweights`	The name of the replicate weights.
`.type`	The variation of jackknife variance estimation. 'JK1' or 'JK2'.
`.by`	The variable to be used for heterogeneity analysis. If NULL, the entire population is used.