neg_objective_function {gmmsslm}R Documentation

Negative objective function for gmmssl

Description

Negative objective function for gmmssl

Usage

neg_objective_function(
  dat,
  zm,
  g,
  par,
  ncov = 2,
  type = c("ign", "full", "com")
)

Arguments

dat

An n\times p matrix where each row represents an individual observation

zm

An n-dimensional vector of group partition including the missing-label, denoted as NA.

g

Number of multivariate Gaussian groups.

par

An informative vector including mu, pi,sigma and xi.

ncov

Options of structure of sigma matrix; the default value is 2; ncov = 1 for a common covariance matrix; ncov = 2 for the unequal covariance/scale matrices.

type

Three types to fit to the model, 'ign' indicates fitting the model on the basis of the likelihood that ignores the missing label mechanism, 'full' indicates that the model to be fitted on the basis of the full likelihood, taking into account the missing-label mechanism, and 'com' indicate that the model to be fitted to a completed classified sample.

Value

val

Value of negatvie objective function.


[Package gmmsslm version 1.1.5 Index]