estimate_wmean {drord}  R Documentation 
Compute the estimate of the weighted mean parameter based on
estimated PMF in each treatment arm.
Description
Compute the estimate of the weighted mean parameter based on
estimated PMF in each treatment arm.
Usage
estimate_wmean(
pmf_est,
treat,
out,
out_levels,
out_weights,
treat_prob_est,
return_cov = TRUE
)
Arguments
pmf_est 
List of treatmentspecific 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.

Value
List with estimates of treatmentspecific means and difference in means.
If return_cov = TRUE
, also includes covariance matrix estimates.
[Package
drord version 1.0.1
Index]