estimate_ci_mannwhitney {drord} R Documentation

## Compute confidence interval/s for the Mann-Whitney parameter

### Description

Compute confidence interval/s for the Mann-Whitney parameter

### Usage

estimate_ci_mannwhitney(
mannwhitney_est,
cdf_est,
pmf_est,
treat_prob_est,
treat_form,
out_form,
treat,
ci,
out,
alpha,
nboot,
out_levels,
covar,
out_model
)


### Arguments

 mannwhitney_est The point estimates for log-odds. cdf_est The estimated conditional CDF. pmf_est The estimated conditional PMF. treat_prob_est Estimated probability of treatments, output from call to estimate_treat_prob. treat_form The right-hand side of a regression formula for the working model of treatment probability as a function of covariates out_form The right-hand side of a regression formula for the working proportional odds model. NOTE: THIS FORMULA MUST NOT SUPPRESS THE INTERCEPT. 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. ci A vector of characters indicating which confidence intervals should be computed ("bca" and/or "wald") out A numeric vector containing the outcomes. Missing outcomes are allowed. alpha Confidence intervals have nominal level 1-alpha. nboot Number of bootstrap replicates used to compute bootstrap confidence intervals. out_levels A numeric vector containing all ordered levels of the outcome. covar A data.frame containing the covariates to include in the working proportional odds model. 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

List with wald and bca-estimated confidence intervals for the Mann-Whitney parameter.

[Package drord version 1.0.1 Index]