neg_objective_function: Negative objective function for gmmssl

In gmmsslm: Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism

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.

gmmsslm documentation built on June 8, 2025, 2 p.m.