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mixbox

Observed Fisher Information Matrix for Finite Mixture Model

v1.2.3 · Feb 25, 2024 · GPL (>= 2)

Description

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>.

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NOTE 11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
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                    comment = c(ORCID = "0000-0002-5371-9364"))
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ERROR 11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 7, 2026
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                    comment = c(ORCID = "0000-0002-5371-9364"))
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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                    comment = c(ORCID = "0000-0002-5371-9364"))
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                    comment = c(ORCID = "0000-0002-5371-9364"))
as necessary.

Dependency Network

Dependencies Reverse dependencies GIGrvg stabledist mixbox

Version History

4 tracked
new 1.2.3 Mar 10, 2026
updated 1.2.3 ← 1.2.2 diff Feb 24, 2024
updated 1.2.2 ← 1.1.1 diff Feb 21, 2023
new 1.1.1 Jan 22, 2023