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]

mixbox_1.2.3.tar.gz
mixbox_1.2.3.zip(r-4.7-any)mixbox_1.2.3.zip(r-4.6-any)mixbox_1.2.3.zip(r-4.5-any)
mixbox_1.2.3.tgz(r-4.6-any)mixbox_1.2.3.tgz(r-4.5-any)
mixbox_1.2.3.tar.gz(r-4.7-any)mixbox_1.2.3.tar.gz(r-4.6-any)
mixbox_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 256 downloads 16 exports 2 dependencies

Last updated from:5ecdee57be. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK116
source / vignettesOK172
linux-releaseOK109
macos-releaseOK86
macos-oldrelOK119
windows-develOK64
windows-releaseOK71
windows-oldrelOK61
wasm-releaseOK96

Exports:arrange_lambdaarrange_sigmaconfiguration1configuration2dmixdpstabledptstableestep1estep2ofim1ofim2rigaussianrmixrmvnormrptstablesefm

Dependencies:GIGrvgstabledist