Last data update: 2014.03.03
|
R: Update method for cumulative link models
update.clm2 | R Documentation |
Update method for cumulative link models
Description
Update method for cumulative link models fitted with clm2 .
This makes it possible to use e.g.
update(obj, location = ~ . - var1, scale = ~ . + var2)
Usage
## S3 method for class 'clm2'
update(object, formula., location, scale, nominal,...,
evaluate = TRUE)
## S3 method for class 'clmm2'
update(object, formula., location, scale, nominal,...,
evaluate = TRUE)
Arguments
object |
a clm2 object.
|
formula. |
not used—unfortunately this argument is part of the
default method.
|
location |
an optional new formula for the location; see
update.formula for details.
|
scale |
an optional new formula for the scale; see
update.formula for details.
|
nominal |
an optional new formula for nominal effects; see
update.formula for details.
|
... |
additional arguments to the call, or arguments with
changed values.
|
evaluate |
if true evaluate the new call else return the call.
|
Value
If evaluate = TRUE the fitted object is returned,
otherwise the updated call.
Author(s)
Rune Haubo B Christensen
Examples
options(contrasts = c("contr.treatment", "contr.poly"))
m1 <- clm2(SURENESS ~ PROD, scale = ~PROD, data = soup,
link = "logistic")
m2 <- update(m1, link = "probit")
m3 <- update(m1, link = "cloglog")
m4 <- update(m1, link = "loglog")
anova(m1, update(m1, scale = ~.-PROD))
mT1 <- update(m1, threshold = "symmetric")
Results
|