R: Proportional odds and related models

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 3.32-1 Index]