predict_class_posterior

: Predicts the latent class probabilities, given observations Y, covariates X, logit regression coefficients alpha and a specified model of expert functions.

predict_class_posterior(
  Y,
  X,
  alpha,
  model,
  exposure_past = 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.

exposure_past

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

exact_Y

true or false (default), indicating if Y is observed exactly or with censoring and truncation.

Value

prob: A matrix of latent class probabilities. max_prob_idx: A matrix of the most likely latent class for each observation.