jack_mannwhitney {drord}

Compute Mann-Whitney log-odds estimates.

Description

Compute Mann-Whitney log-odds estimates.

Usage

jack_mannwhitney(
  treat,
  covar,
  out,
  treat_form,
  out_levels,
  out_form,
  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 right-hand 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 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).

Value

Jackknife estimate of Mann-Whitney parameter