survey (version 3.36)

svyolr: 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 survey.design2
svyolr(formula, design, start, ..., na.action = na.omit, method = c("logistic", 
    "probit", "cloglog", "cauchit"))
# S3 method for 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

See Also

svyglm, regTermTest

Examples

# NOT RUN {
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")
# }