Package: mixbox 1.2.3

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>.

Authors:Mahdi Teimouri [aut, cre, cph, ctb]

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mixbox.pdf |mixbox.html
mixbox/json (API)

# Install 'mixbox' in R:
install.packages('mixbox', repos = c('https://mahditeimouri.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 198 downloads 16 exports 2 dependencies

Last updated 1 years agofrom:5ecdee57be. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winOKMar 24 2025
R-4.5-macOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-winOKMar 24 2025
R-4.4-macOKMar 24 2025
R-4.4-linuxOKMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

Exports:arrange_lambdaarrange_sigmaconfiguration1configuration2dmixdpstabledptstableestep1estep2ofim1ofim2rigaussianrmixrmvnormrptstablesefm

Dependencies:GIGrvgstabledist