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>.

Version: 1.2.3
Depends: R (≥ 3.1.0)
Imports: GIGrvg, stabledist
Published: 2024-02-25
Author: Mahdi Teimouri [aut, cre, cph, ctb] (<https://orcid.org/0000-0002-5371-9364>)
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mixbox results

Documentation:

Reference manual: mixbox.pdf

Downloads:

Package source: mixbox_1.2.3.tar.gz
Windows binaries: r-devel: mixbox_1.2.2.zip, r-release: mixbox_1.2.2.zip, r-oldrel: mixbox_1.2.2.zip
macOS binaries: r-release (arm64): mixbox_1.2.2.tgz, r-oldrel (arm64): mixbox_1.2.2.tgz, r-release (x86_64): mixbox_1.2.2.tgz
Old sources: mixbox archive

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