Package: AdMit 2.1.12

AdMit: Adaptive Mixture of Student-t Distributions

Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.

Authors:David Ardia [aut, cre, cph, fnd], Lennart Hoogerheide [ctb], Herman van Dijk [ctb]

AdMit_2.1.12.tar.gz
AdMit_2.1.12.zip(r-4.7-x86_64)AdMit_2.1.12.zip(r-4.7-arm64)AdMit_2.1.12.zip(r-4.6-x86_64)AdMit_2.1.12.zip(r-4.6-arm64)AdMit_2.1.12.zip(r-4.5-x86_64)
AdMit_2.1.12.tgz(r-4.6-x86_64)AdMit_2.1.12.tgz(r-4.6-arm64)AdMit_2.1.12.tgz(r-4.5-x86_64)AdMit_2.1.12.tgz(r-4.5-arm64)
AdMit_2.1.12.tar.gz(r-4.7-arm64)AdMit_2.1.12.tar.gz(r-4.7-x86_64)AdMit_2.1.12.tar.gz(r-4.6-arm64)AdMit_2.1.12.tar.gz(r-4.6-x86_64)
AdMit_2.1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AdMit/json (API)

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

Bug tracker:https://github.com/ardiad/admit/issues

On CRAN:

Conda:

adaptivedistributionfittingmcmcmixturemixture-model

3.38 score 2 stars 12 scripts 601 downloads 1 mentions 5 exports 1 dependencies

Last updated from:3a6964182b. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
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linux-devel-x86_64OK155
source / vignettesOK330
linux-release-arm64OK105
linux-release-x86_64OK148
macos-release-arm64OK113
macos-release-x86_64OK170
macos-oldrel-arm64OK108
macos-oldrel-x86_64OK174
windows-devel-arm64OK368
windows-devel-x86_64OK116
windows-release-arm64OK314
windows-release-x86_64OK80
windows-oldrel-x86_64OK78
wasm-releaseOK102

Exports:AdMitAdMitISAdMitMHdMitrMit

Dependencies:mvtnorm