predict_limit_prior: predict_limit_prior

In sparktseung/LRMoE: Logit-Weighted Reduced Mixture-of-Experts

predict_limit_prior

Description

Predicts the limit expected value (LEV) of response, given covariates X, logit regression coefficients alpha and a specified model of expert functions.

Usage

predict_limit_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 limit expected value of response, based on prior probabilities.

sparktseung/LRMoE documentation built on March 21, 2022, 3:22 a.m.