clogitboost (version 1.1)

predict.clogitboost: Predicting after fitting a boosting conditional logit model

Description

predict methods for the clogitboost objects, which produce marginal predictions of the covariate effects.

Usage

"predict"(object, x, strata, ...)

Arguments

object

output object from the clogitboost function.

x

new matrix or data frame with each column being a covariate.

strata

new vector of group memberships, i.e., items in the same group have the same value.

...

not currently used.

Value

The method predict returns the following list of values:

prob

probability of the outcome equal to 1.

utility

predicted utility.

prediction

0-1 prediction of the outcome variable.

See Also

clogitboost

Examples

data(travel)
train <- 1:504
y <- travel$MODE[train]
x <- travel[train, 3:6]
strata <- travel$Group[train]
fit <- clogitboost(y = y, x = x, strata = strata, iter = 10, rho = 0.05)
predict(fit, x = travel[-train, 3:6], strata = travel$Group[-train])