polycuts: Estimates Cut-point Parameters for Fitted repolr Model

In repolr: Repeated Measures Proportional Odds Logistic Regression

Description

After fitting a model using repolr, function polycuts gives estimates and standard errors for the K-1 cut-point parameters, based on the polynomial model from the fit of repolr. Polynomial cut-point parameter estimates from the orginal model are also shown.

Usage

polycuts(object, digits = 3, robust.var = TRUE)

Arguments

object	is a model fitted using repolr.
digits	the number of decimal places to display in reported summaries.
robust.var	a logical variable: if TRUE standard errors are based on robust variance estimates, otherwise naive estimates are used.

Value

coef	polynomial parameter estimates from repolr.
poly	a vector of K-1 cut-point parameters.
order	the order of the polynomial.

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)
summary(mod.0)
mod.1 <- update(mod.0, poly=1)
summary(mod.1)
polycuts(mod.1)
mod.2 <- update(mod.0, poly=2)
summary(mod.2)
polycuts(mod.2)

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