predict_excess_prior

Predicts the excess expectation of response, given covariates X, logit regression coefficients alpha and a specified model of expert functions.

predict_excess_prior(X, alpha, model, limit, exposure_future = list())

Arguments

X

A matrix of covariates.

alpha

A matrix of logit regression coefficients.

model

A matrix specifying the expert functions.

limit

A matrix specifying the cutoff point.

exposure_future

A vector indicating the time exposure (future) of each observation. If nothing is supplied, it is set to 1.0 by default.

Value

result: A matrix of predicted excess expectation of response, based on prior probabilities.