estimate_scores: Estimate propensity and prognostic scores.
In denisagniel/synthate: Synthetic Causal Inference

Description Usage Arguments Value Examples

Estimate propensity and prognostic scores.

estimate_scores(
  this_data,
  outcome_fm,
  outcome_fam = gaussian,
  ps_fm,
  ps_fam = binomial,
  wt = NULL
)

`this_data`	data frame to estimate scores on.
`outcome_fm`	formula for the outcome model.
`outcome_fam`	distributional family for outcome model.
`ps_fm`	formula for the propensity score model.
`ps_fam`	distributional family for propensity score model.
`wt`	optional case weights. Default is NULL.

data frame augmented with ps, the propensity score, prog_score, the prognostic score, pi, the propensity score if treated or 1 minus the propensity score if control, and ps_strat, a numeric value indicating the quintile of the propensity score that each individual falls in.

gen_mod <- generate_data(n = 100, 
                         dgp = 'ks', 
                         correct_outcome = FALSE,
                         correct_ps = TRUE)
this_data <- gen_mod$data
this_data <- estimate_scores(this_data, outcome_fm = outcome_fm,
                             ps_fm = ps_fm,
                             ps_fam = ps_fam,
                             outcome_fam = outcome_fam)
 this_data