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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
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Package details |
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| Author | Mahdi Teimouri [aut, cre, cph, ctb] (<https://orcid.org/0000-0002-5371-9364>) |
| Maintainer | Mahdi Teimouri <teimouri@aut.ac.ir> |
| License | GPL (>= 2) |
| Version | 1.2.3 |
| Package repository | View on CRAN |
| Installation |
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