jack_logodds

A <code>numeric</code> vector containing treatment status. Should only assume 
a value 0 or 1.

treat

A <code>data.frame</code> containing the covariates to include in the working
proportional odds model.

covar

A <code>numeric</code> vector containing the outcomes. Missing outcomes are 
allowed.

The right-hand side of a regression formula for the working model of
treatment probability as a function of covariates

treat_form

Which R function should be used to fit the proportional odds 
model. Options are <code>"polr"</code> (from the <code>MASS</code> package), 
"vglm" (from the <code>VGAM</code> package), or <code>"clm"</code> (from the <code>ordinal</code> package).

out_model

A <code>numeric</code> vector containing all ordered levels of the 
outcome.

out_levels

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

out_form

Compute jackknife log-odds estimates.

Efficient covariate-adjusted estimators of quantities that are useful for
establishing the effects of treatments on ordinal outcomes.

jack_logodds: Compute jackknife log-odds estimates.

Description

Usage

Arguments

Value