smm_fit_em: Estimate Student's t Mixture parameters using Expectation...

View source: R/MixtureFitting.R

smm_fit_emR Documentation

Estimate Student's t Mixture parameters using Expectation Maximization.

Description

Estimates parameters for Student's t mixture using Expectation Maximization algorithm. Calls smm_fit_em_APK10().

Usage

    smm_fit_em( x, p, ... )

Arguments

x

data vector

p

initialization vector of 4*n parameters, where n is number of mixture components. Structure of p vector is p = c( A1, A2, ..., An, mu1, mu2, ..., mun, k1, k2, ..., kn, ni1, ni2, ..., nin ), where Ai is the proportion of i-th component, mui is the center of i-th component, ki is the concentration of i-th component and nii is the degrees of freedom of i-th component.

...

additional arguments passed to smm_fit_em_GNL08().

Value

Vector of mixture parameters, whose structure is the same as of input parameter's p.

Author(s)

Andrius Merkys


merkys/MixtureFitting documentation built on July 5, 2025, 5:43 a.m.