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mixbox  

Observed Fisher Information Matrix for Finite Mixture Model
View on CRAN: Click here


Download and install mixbox package within the R console
Install from CRAN:
install.packages("mixbox")

Install from Github:
library("remotes")
install_github("cran/mixbox")

Install by package version:
library("remotes")
install_version("mixbox", "1.2.3")



Attach the package and use:
library("mixbox")
Maintained by
Mahdi Teimouri
[Scholar Profile | Author Map]
First Published: 2023-01-23
Latest Update: 2024-02-25
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) .
How to cite:
Mahdi Teimouri (2023). mixbox: Observed Fisher Information Matrix for Finite Mixture Model. R package version 1.2.3, https://cran.r-project.org/web/packages/mixbox. Accessed 01 May. 2025.
Previous versions and publish date:
1.1.1 (2023-01-23 10:20), 1.2.2 (2023-02-22 14:00)
Other packages that cited mixbox R package
View mixbox citation profile
Other R packages that mixbox depends, imports, suggests or enhances
Complete documentation for mixbox
Functions, R codes and Examples using the mixbox R package
Some associated functions: AIS . arrange_lamba . arrange_sigma . bankruptcy . configuration1 . configuration2 . dmix . dpstable . dptstable . estep1 . estep2 . ofim1 . ofim2 . ofim_name . rigaussian . rmix . rmvnorm . rptstable . sefm . wheat . 
Some associated R codes: arrange_lambda.R . arrange_sigma.R . configuration1.R . configuration2.R . dmix.R . dpstable.R . dptstable.R . estep1.R . estep2.R . logo.R . ofim1.R . ofim2.R . ofim_name.R . rigaussian.R . rmix.R . rmvnorm.R . rptstable.R . sefm.R .  Full mixbox package functions and examples
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