predict_mean_prior

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

predict_mean_prior(X, alpha, model, exposure_future = list())

Arguments

X

A matrix of covariates.

alpha

A matrix of logit regression coefficients.

model

An ExpertMatrix

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 mean values of response, based on prior probabilities.