R: Compute the estimate of the weighted mean parameter based on...

estimate_wmean {drord}

R Documentation

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

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
)

`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.

[Package drord version 1.0.1 Index]