vmm_init_vector: Estimate von Mises Mixture parameters using Expectation...

In merkys/MixtureFitting: Fitting of Univariate Mixture Distributions to Data using Various Approaches

Estimate von Mises Mixture parameters using Expectation Maximization.

Description

Estimate an initialization vector for von Mises mixture fitting via Expectation Maximization. Proportions are set to equal, centers are equispaced through the whole domain of input sample, and concentrations are set to (m/(12*180))^2.

Usage

    vmm_init_vector( m, implementation = "C" )

Arguments

m	number of mixture components
implementation	flag to switch between C (default) and R implementations.

Value

Parameter vector of 3*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 ), where Ai is the proportion of i-th component, mui is the center of i-th component and ki is the concentration of i-th component.

Author(s)

Andrius Merkys

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