estimate_mixture: Performs the estimation of gaussian mixtures of regression...

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Performs the estimation of gaussian mixtures of regression models and gaussian mixture models. Used in FMRCC_PhaseI.

Description

Performs the estimation of gaussian mixtures of regression models and gaussian mixture models. Used in FMRCC_PhaseI.

Usage

estimate_mixture(
  y = NULL,
  x = NULL,
  ninit = 10,
  groups = 1:5,
  mode = "regression",
  intercept = TRUE,
  init_met = "kmeans",
  sigma_par = c("VVV", "EEE", "VII", "EII")
)

Arguments

y	a matrix with the scores of the response variable
x	a matrix with the scores of the covariates
ninit	the number of random starts for the model estimation. It is ignored if init_met = 'kmeans'. Default is 10
groups	the number of groups to consider in the model estimation. Default is 1:3
mode	the type of model to estimate, it can be 'regression' or 'clustering'. Default is 'regression'
intercept	logical, if TRUE the model includes an intercept. Default is TRUE
init_met	the method to initialize the model, it can be 'kmeans' or 'random'. Default is 'kmeans'
sigma_par	the covariance parametrization to consider in the model estimation. Default is c('VVV','EEE','VII','EII')

Value

a list with the model estimated, the residuals variance matrix and the BIC values

funcharts documentation built on Dec. 12, 2025, 5:06 p.m.