jack_wmean {drord}  R Documentation 
Compute jackknife weighted mean estimates.
Description
Compute jackknife weighted mean estimates.
Usage
jack_wmean(
treat,
covar,
out,
treat_form,
out_levels,
out_form,
out_weights,
out_model
)
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.

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

treat_form 
The righthand side of a regression formula for the working model of
treatment probability as a function of covariates

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

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

out_weights 
A vector of numeric weights with length equal to the length
of out_levels .

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).

Value
Jackknifeestimated weighted mean
[Package
drord version 1.0.1
Index]