Package: dynmix 2.2

Krzysztof Drachal

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.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✨
card.svg |card.png
dynmix/json (API)
NEWS

# Install 'dynmix' in R:
install.packages('dynmix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • oil - Crude Oil Data.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 546 downloads 9 exports 5 dependencies

Last updated from:68a8182d20. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK123
source / vignettesOK144
linux-release-arm64OK119
linux-release-x86_64OK120
wasm-releaseOK110

Exports:cauimpconvtsldltltdlmixest1mixest2qbnmixsqrtmattvp.reg

Dependencies:latticeMASSRcppRcppArmadillozoo