Compute one weighted mean based on a given data set.
get_one_wmean(
treat,
covar,
treat_form,
out,
out_levels,
out_form,
out_model,
out_weights
)
Arguments
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. |
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 |
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. |
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_weights |
A vector of numeric weights with length equal to the length
of out_levels . |