generate_data: Generate data for
In denisagniel/synthate: Synthetic Causal Inference

Description Usage Arguments Value Examples

Generate data for

1	generate_data(n, dgp, correct_outcome = TRUE, correct_ps = TRUE)

`n`	desired sample size.
`dgp`	character string indicating desired data-generating process. Currently the following DGPs are implemented, each based on a different publication: `ks`, Kang and Shafer; `ld`, Lunceford and Davidian; `fi` Fan and Imai; `ls`, Leacy and Stuart; `ik` Iacus and King; `iw` Waernbaum; `pa` Austin.
`correct_outcome`	logical indicating whether the outcome model should eb correctly specified.
`correct_ps`	logical indicating whether the propensity score model should be correctly specified.

a list of objects including

gen_mod <- generate_data(n = 100, 
                         dgp = 'ks', 
                         correct_outcome = FALSE,
                         correct_ps = TRUE)