fmbeg_gamma.init: parameter initialization for BMEG EM algorithm

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

This function computes the parameter estimates of BMEG distribution using the EM algorithm.

Usage

fmbeg_gamma.init(data, beta = NULL, q = NULL, m)

Arguments

data	data-vector from FMBEG distribution
beta	numeric parameters, which must be numeric greater than 0. Default value is NULL
q	vector of gamma membership probabilities between 0 and 1, and sum equal to 1. Default value is NULL.
m	number of gamma components. Default value is 2.

Details

Takes initial guess for the parameters and the algorithm will estimate the MLE.

Value

list containing initial parameter estimates of beta and q

References

Code adapted from Young et al. (2017). mixtools Package : Tools for Analyzing Finite Mixture Models, R CRAN.

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.