bca_wmean {drord} R Documentation

## Compute a BCa bootstrap confidence interval for the weighted mean. The code is based on the slides found here: http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf

### Description

Compute a BCa bootstrap confidence interval for the weighted mean. The code is based on the slides found here: http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf

### Usage

bca_wmean(
treat,
covar,
out,
nboot,
treat_form,
out_levels,
out_form,
out_weights,
out_model,
wmean_est,
alpha = 0.05
)


### 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. nboot Number of bootstrap replicates used to compute bootstrap confidence intervals. 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_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). wmean_est The estimated weighted means + estimated covariance matrix. alpha Level of confidence interval.

### Value

matrix with treatment-specific weighted mean CIs and CI for difference.

[Package drord version 1.0.1 Index]