Package: CHMM 0.1.1

CHMM: Coupled Hidden Markov Models

An exact and a variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations.

Authors:Xiaoqiang Wang [aut], Julie Aubert [aut, cre]

CHMM_0.1.1.tar.gz
CHMM_0.1.1.zip(r-4.5)CHMM_0.1.1.zip(r-4.4)CHMM_0.1.1.zip(r-4.3)
CHMM_0.1.1.tgz(r-4.4-x86_64)CHMM_0.1.1.tgz(r-4.4-arm64)CHMM_0.1.1.tgz(r-4.3-x86_64)CHMM_0.1.1.tgz(r-4.3-arm64)
CHMM_0.1.1.tar.gz(r-4.5-noble)CHMM_0.1.1.tar.gz(r-4.4-noble)
CHMM_0.1.1.tgz(r-4.4-emscripten)CHMM_0.1.1.tgz(r-4.3-emscripten)
CHMM.pdf |CHMM.html✨
CHMM/json (API)

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

Peer review:

Bug tracker:https://github.com/julieaubert/chmm/issues

Datasets:
  • toydata - Toy example - observations for 5 correlated samples.
  • toystatus - Toy example - status for 5 correlated samples.

On CRAN:

11 exports 6 stars 1.59 score 1 dependencies 2 mentions 2 scripts 174 downloads

Last updated 2 years agofrom:cf283a7e25. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-win-x86_64OKSep 11 2024
R-4.5-linux-x86_64OKSep 11 2024
R-4.4-win-x86_64OKSep 11 2024
R-4.4-mac-x86_64OKSep 11 2024
R-4.4-mac-aarch64OKSep 11 2024
R-4.3-win-x86_64OKSep 11 2024
R-4.3-mac-x86_64OKSep 11 2024
R-4.3-mac-aarch64OKSep 11 2024

Exports:BackwardRCHMM_EMCHMM_VEMclustersegcoupledHMMExpGridForwardRinit.EMinit.VEMviterbi_algoWl

Dependencies:mclust