Package: dynmix 2.2

dynmix: Estimation of Dynamic Finite Mixtures

Allows to perform the dynamic mixture estimation with state-space components and normal regression components, and clustering with normal mixture. Quasi-Bayesian estimation, as well as, that based on the Kerridge inaccuracy approximation are implemented. Main references: Nagy and Suzdaleva (2013) <doi:10.1016/j.apm.2013.05.038>; Nagy et al. (2011) <doi:10.1002/acs.1239>.

Authors:Krzysztof Drachal [aut, cre]

dynmix_2.2.tar.gz
dynmix_2.2.zip(r-4.7-x86_64)dynmix_2.2.zip(r-4.7-arm64)dynmix_2.2.zip(r-4.6-x86_64)dynmix_2.2.zip(r-4.6-arm64)dynmix_2.2.zip(r-4.5-x86_64)
dynmix_2.2.tgz(r-4.6-x86_64)dynmix_2.2.tgz(r-4.6-arm64)dynmix_2.2.tgz(r-4.5-x86_64)dynmix_2.2.tgz(r-4.5-arm64)
dynmix_2.2.tar.gz(r-4.7-arm64)dynmix_2.2.tar.gz(r-4.7-x86_64)dynmix_2.2.tar.gz(r-4.6-arm64)dynmix_2.2.tar.gz(r-4.6-x86_64)
dynmix_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dynmix/json (API)

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

Bug tracker:https://github.com/kdrachal/dynmix/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • oil - Crude Oil Data.

On CRAN:

Conda:

openblascpp

2.70 score 435 downloads 9 exports 5 dependencies

Last updated from:ca52165eac. Checks:13 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
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linux-devel-x86_64WARNING105
source / vignettesERROR161
linux-release-arm64WARNING81
linux-release-x86_64WARNING112
macos-release-arm64WARNING184
macos-release-x86_64WARNING215
macos-oldrel-arm64WARNING158
macos-oldrel-x86_64WARNING290
windows-devel-arm64WARNING333
windows-devel-x86_64WARNING145
windows-release-arm64WARNING429
windows-release-x86_64WARNING96
windows-oldrel-x86_64WARNING106
wasm-releaseOK83

Exports:cauimpconvtsldltltdlmixest1mixest2qbnmixsqrtmattvp.reg

Dependencies:latticeMASSRcppRcppArmadillozoo