Compute one estimate of the marginal CDF/PMF on a given data set.

Source: R/dist_fn.R

Compute one estimate of the marginal CDF/PMF on a given data set.

get_one_marg_dist(
  treat,
  covar,
  treat_form,
  out_model,
  out,
  out_levels,
  out_form
)

Arguments

treat

A numeric vector containing treatment status. Should only assume a value 0 or 1.
covar

A data.frame containing the covariates to include in the working proportional odds model.
treat_form

The right-hand side of a regression formula for the working model of treatment probability as a function of covariates
out_model

Which R function should be used to fit the proportional odds model. Options are "polr" (from the MASS package), "vglm" (from the VGAM package), or "clm" (from the ordinal package).
out

A numeric vector containing the outcomes. Missing outcomes are allowed.
out_levels

A numeric vector containing all ordered levels of the outcome.
out_form

The right-hand side of a regression formula for the working proportional odds model. NOTE: THIS FORMULA MUST NOT SUPPRESS THE INTERCEPT.

Value

List of estimated cdf/pmf for these input data.