predict.brmultinom {brglm2}  R Documentation 
brmultinom
fitsObtain class and probability predictions from a fitted baseline category logits model.
## S3 method for class 'brmultinom' predict(object, newdata, type = c("class", "probs"), ...)
object 
a fitted object of class inheriting from

newdata 
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used. 
type 
the type of prediction required. The default is

... 
further arguments passed to or from other methods. 
If newdata
is omitted the predictions are based on the data
used for the fit.
If type = "class"
a vector with the predicted response
categories; if type = "probs"
a matrix of probabilities for
all response categories at newdata
.
data("housing", package = "MASS") # Maximum likelihood using brmultinom with baseline category 'Low' houseML1 < brmultinom(Sat ~ Infl + Type + Cont, weights = Freq, data = housing, type = "ML", ref = 1) # New data newdata < expand.grid(Infl = c("Low", "Medium"), Type = c("Tower", "Atrium", "Terrace"), Cont = c("Low", NA, "High")) ## Predictions sapply(c("class", "probs"), function(what) predict(houseML1, newdata, what))