predict.clogitboost {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

## S3 method for class 'clogitboost'
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.

Author(s)

Haolun Shi [e-mail]

Guosheng Yin [e-mail]

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])