Package: dppmix 0.1.2

dppmix: Determinantal Point Process Mixture Models

Multivariate Gaussian mixture model with a determinant point process prior to promote the discovery of parsimonious components from observed data. See Xu, Mueller, Telesca (2016) <doi:10.1111/biom.12482>.

Authors:Yanxun Xu [aut], Peter Mueller [aut], Donatello Telesca [aut], David J. H. Shih [aut, cre]

dppmix_0.1.2.tar.gz
dppmix_0.1.2.zip(r-4.7)dppmix_0.1.2.zip(r-4.6)dppmix_0.1.2.zip(r-4.5)
dppmix_0.1.2.tgz(r-4.6-any)dppmix_0.1.2.tgz(r-4.5-any)
dppmix_0.1.2.tar.gz(r-4.7-any)dppmix_0.1.2.tar.gz(r-4.6-any)
dppmix_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dppmix/json (API)

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

Bug tracker:https://bitbucket.org/djhshih/dppmix

On CRAN:

Conda:

2.70 score 185 downloads 33 exports 1 dependencies

Last updated from:1a525a5ba3. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING126
source / vignettesOK189
linux-release-x86_64WARNING173
macos-release-arm64WARNING75
macos-oldrel-arm64WARNING84
windows-develWARNING65
windows-releaseWARNING97
windows-oldrelWARNING70
wasm-releaseOK124

Exports:cov_f_cvec_matcov_f_rvec_matcov_matrix_colscov_matrix_rowsdgammapoisdppmix_mvnormdppmix_mvnorm_combine_movedppmix_mvnorm_compute_Edppmix_mvnorm_compute_Skdppmix_mvnorm_compute_Sk_v1dppmix_mvnorm_compute_Sk_v2dppmix_mvnorm_initializedppmix_mvnorm_llikelihooddppmix_mvnorm_llikelihood_v1dppmix_mvnorm_llikelihood_v2dppmix_mvnorm_split_movedppmix_mvnorm_update_Kdppmix_mvnorm_update_lambdadppmix_mvnorm_update_mudppmix_mvnorm_update_Sigmadppmix_mvnorm_update_wdppmix_mvnorm_update_zestimateestimate.dppmix_mcmcldetlikelihoodmu_is_validrbernrbvecrdirichletrmvnorm_clusterssimilarity_kernelwhich_min_error

Dependencies:mvtnorm