| model.framevlm {VGAM} | R Documentation |
This function returns a data.frame with the variables.
It is applied to an object which inherits from class "vlm" (e.g.,
a fitted model of class "vglm").
model.framevlm(object, ...)
object |
a model object from the VGAM R package
that inherits from a vector linear model (VLM),
e.g., a model of class "vglm". |
... |
further arguments such as data, na.action,
subset.
See model.frame for more information on these.
|
Since object is
an object which inherits from class "vlm" (e.g.,
a fitted model of class "vglm"),
the method will either returned the saved model frame
used when fitting the model (if any, selected by argument
model = TRUE) or pass the call used when fitting on to the
default method.
This code implements smart prediction
(see smartpred).
A data.frame containing the variables used in
the object plus those specified in ....
Chambers, J. M. (1992) Data for models. Chapter 3 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
model.frame,
model.matrixvlm,
predict.vglm,
smartpred.
# Illustrates smart prediction
data(pneumo)
pneumo = transform(pneumo, let=log(exposure.time))
fit = vglm(cbind(normal,mild, severe) ~ poly(c(scale(let)), 2),
fam=multinomial,
data=pneumo, trace=TRUE, x=FALSE)
class(fit)
check1 = model.frame(fit)[1:3,]
check1
check2 = model.frame(fit, data=pneumo[1:3,])
check2
all.equal(unlist(check1), unlist(check2)) # Should be TRUE
q0 = predict(fit)[1:3,]
q1 = predict(fit, newdata=pneumo)[1:3,]
q2 = predict(fit, newdata=pneumo[1:3,])
all.equal(q0, q1) # Should be TRUE
all.equal(q1, q2) # Should be TRUE