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

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)))

svyolr(mealcat~avg.ed+mobility+stype, design=dclus1)
[Package survey version 3.18 Index]