survey (version 3.9-1)

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 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)

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

method

Link function

return.replicates

return the individual replicate-weight estimates

Value

• An object of class svyolr

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)