mixbox: Observed Fisher Information Matrix for Finite Mixture Model

Developed for the following tasks. 1- simulating realizations from the canonical, restricted, and unrestricted finite mixture models. 2- Monte Carlo approximation for density function of the finite mixture models. 3- Monte Carlo approximation for the observed Fisher information matrix, asymptotic standard error, and the corresponding confidence intervals for parameters of the mixture models sing the method proposed by Basford et al. (1997) <https://espace.library.uq.edu.au/view/UQ:57525>.

Getting started

Package details

AuthorMahdi Teimouri [aut, cre, cph, ctb] (<https://orcid.org/0000-0002-5371-9364>)
MaintainerMahdi Teimouri <teimouri@aut.ac.ir>
LicenseGPL (>= 2)
Version1.2.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mixbox")

Try the mixbox package in your browser

Any scripts or data that you put into this service are public.

mixbox documentation built on May 29, 2024, 3:58 a.m.