vcov.repolr: Calculates the Variance-Covariance Matrix for Fitted repolr...

In repolr: Repeated Measures Proportional Odds Logistic Regression

Description

Returns the variance-covariance matrix of the main parameters of a fitted repolr model object.

Usage

## S3 method for class 'repolr'
vcov(object, robust.var = TRUE, ...)

Arguments

object	is a model fitted using repolr.
robust.var	logical; if TRUE, outputs the robust variance matrix.
...	further arguments passed to or from other methods.

Details

Default is to output the estimated robust variance matrix. However, if robust.var is set to FALSE, the naive variance matrix is reported.

Value

A matrix of the estimated covariances between the parameter estimates.

Examples

data(HHSpain)
mod.0 <- repolr(HHSpain~Sex*Time, data=HHSpain, categories=4, subjects="Patient",
            times=c(1,2,5), corr.mod="uniform", alpha=0.5)
vcov(mod.0, robust.var = FALSE)

repolr documentation built on May 1, 2019, 9:20 p.m.