predict_excess_posterior

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

predict_excess_posterior(
  Y,
  X,
  alpha,
  model,
  limit,
  exposure_past = list(),
  exposure_future = list(),
  exact_Y = F
)

Arguments

Y

A matrix of responses.

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_past

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

exposure_future

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

exact_Y

Bool variable. indicating if Y is observed exactly or with censoring and truncation. Default set to be False

Value

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