Compute the estimate of the weighted mean parameter based on estimated PMF in each treatment arm.

estimate_wmean(
  pmf_est,
  treat,
  out,
  out_levels,
  out_weights,
  treat_prob_est,
  return_cov = TRUE
)

Arguments

pmf_est	List of treatment-specific PMF estimates.
treat	A `numeric` vector containing treatment status. Missing values are not allowed unless the corresponding entry in `out` is also missing. Only values of 0 or 1 are treated as actual treatment levels. Any other value is assumed to encode a value for which the outcome is missing and the corresponding outcome value is ignored.
out	A `numeric` vector containing the outcomes. Missing outcomes are allowed.
out_levels	A `numeric` vector containing all ordered levels of the outcome.
out_weights	A vector of `numeric` weights with length equal to the length of `out_levels`.
treat_prob_est	Estimated probability of treatments, output from call to `estimate_treat_prob`.
return_cov	If `TRUE` the estimated covariance matrix is returned.

List with estimates of treatment-specific means and difference in means. If return_cov = TRUE, also includes covariance matrix estimates.