Ordinal regression models
ordreg(
formula,
data = parent.frame(),
offset,
family = stats::binomial("probit"),
start,
fast = FALSE,
...
)
Arguments
- formula
formula
- data
data.frame
- offset
offset
- family
family (default proportional odds)
- start
optional starting values
- fast
If TRUE standard errors etc. will not be calculated
- ...
Additional arguments to lower level functions
Examples
m <- lvm(y~x)
ordinal(m,K=3) <- ~y
d <- sim(m,100)
e <- ordreg(y~x,d)