Predict method for brmultinom fits
Obtain 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))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.