Package: AdMit 2.1.9
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:
AdMit_2.1.9.tar.gz
AdMit_2.1.9.zip(r-4.5)AdMit_2.1.9.zip(r-4.4)AdMit_2.1.9.zip(r-4.3)
AdMit_2.1.9.tgz(r-4.4-x86_64)AdMit_2.1.9.tgz(r-4.4-arm64)AdMit_2.1.9.tgz(r-4.3-x86_64)AdMit_2.1.9.tgz(r-4.3-arm64)
AdMit_2.1.9.tar.gz(r-4.5-noble)AdMit_2.1.9.tar.gz(r-4.4-noble)
AdMit_2.1.9.tgz(r-4.4-emscripten)AdMit_2.1.9.tgz(r-4.3-emscripten)
AdMit.pdf |AdMit.html✨
AdMit/json (API)
NEWS
# 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
adaptivedistributionfittingmcmcmixturemixture-model
Last updated 3 years agofrom:fef1192850. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | OK | Nov 17 2024 |
R-4.4-win-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-aarch64 | OK | Nov 17 2024 |
R-4.3-win-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-aarch64 | OK | Nov 17 2024 |
Exports:AdMitAdMitISAdMitMHdMitrMit
Dependencies:mvtnorm