predict_class_posterior: predict_class_posterior
In UofTActuarial/LRMoE: Logit-Weighted Reduced Mixture-of-Experts

: 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
)

`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.