Package: dynmix 2.0

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_2.0.tar.gz
dynmix_2.0.zip(r-4.5)dynmix_2.0.zip(r-4.4)dynmix_2.0.zip(r-4.3)
dynmix_2.0.tgz(r-4.4-x86_64)dynmix_2.0.tgz(r-4.4-arm64)dynmix_2.0.tgz(r-4.3-x86_64)dynmix_2.0.tgz(r-4.3-arm64)
dynmix_2.0.tar.gz(r-4.5-noble)dynmix_2.0.tar.gz(r-4.4-noble)
dynmix_2.0.tgz(r-4.4-emscripten)dynmix_2.0.tgz(r-4.3-emscripten)
dynmix.pdf |dynmix.html
dynmix/json (API)
NEWS

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

Peer review:

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:

2.70 score 152 downloads 9 exports 5 dependencies

Last updated 1 years agofrom:d785d7a8ae. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 04 2024
R-4.5-win-x86_64WARNINGNov 04 2024
R-4.5-linux-x86_64WARNINGNov 04 2024
R-4.4-win-x86_64WARNINGNov 04 2024
R-4.4-mac-x86_64WARNINGNov 04 2024
R-4.4-mac-aarch64WARNINGNov 04 2024
R-4.3-win-x86_64WARNINGNov 04 2024
R-4.3-mac-x86_64WARNINGNov 04 2024
R-4.3-mac-aarch64WARNINGNov 04 2024

Exports:cauimpconvtsldltltdlmixest1mixest2qbnmixsqrtmattvp.reg

Dependencies:latticeMASSRcppRcppArmadillozoo