svyolr {survey}R Documentation

Proportional odds and related models

Description

Fits cumulative link models: proportional odds, probit, complementary log-log, and cauchit.

Usage

svyolr(formula, design, ...)
## S3 method for class 'survey.design2'
svyolr(formula, design, start, ..., na.action = na.omit, method = c("logistic", 
    "probit", "cloglog", "cauchit"))
## S3 method for class 'svyrep.design'
svyolr(formula,design,...,return.replicates=FALSE, 
    multicore=getOption("survey.multicore"))

Arguments

formula

Formula: the response must be a factor with at least three levels

design

survey design object

...

dots

start

Optional starting values for optimization

na.action

handling of missing values

multicore

Use multicore package to distribute computation of replicates across multiple processors?

method

Link function

return.replicates

return the individual replicate-weight estimates

Value

An object of class svyolr

Author(s)

The code is based closely on polr() from the MASS package of Venables and Ripley.

See Also

svyglm, regTermTest

Examples

data(api)
dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)
dclus1<-update(dclus1, mealcat=cut(meals,c(0,25,50,75,100)))

m<-svyolr(mealcat~avg.ed+mobility+stype, design=dclus1)
m

## Use regTermTest for testing multiple parameters
regTermTest(m, ~avg.ed+stype, method="LRT")

[Package survey version 4.1-1 Index]