Proportional odds and related models
Fits cumulative link models: proportional odds, probit, complementary log-log, and cauchit.
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"))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 |
method |
Link function |
return.replicates |
return the individual replicate-weight estimates |
An object of class svyolr
The code is based closely on polr() from the MASS package of Venables and Ripley.
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")
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