Package: DBNMFrank 0.1.0

Yun Cai

DBNMFrank: Rank Selection for Non-Negative Matrix Factorization

Given the non-negative data and its distribution, the package estimates the rank parameter for Non-negative Matrix Factorization. The method is based on hypothesis testing, using a deconvolved bootstrap distribution to assess the significance level accurately despite the large amount of optimization error. The distribution of the non-negative data can be either Normal distributed or Poisson distributed.

Authors:Yun Cai [aut, cre], Hong Gu [aut], Tobias Kenney [aut]

DBNMFrank_0.1.0.tar.gz
DBNMFrank_0.1.0.tar.gz(r-4.5-noble)DBNMFrank_0.1.0.tar.gz(r-4.4-noble)
DBNMFrank_0.1.0.tgz(r-4.4-emscripten)DBNMFrank_0.1.0.tgz(r-4.3-emscripten)
DBNMFrank.pdf |DBNMFrank.html✨
DBNMFrank/json (API)

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1 exports 0.00 score 50 dependencies 156 downloads

Last updated 2 years agofrom:fff21cc9f8. Checks:OK: 2. Indexed: yes.

Exports:DBrank

Dependencies:BiobaseBiocGenericsBiocManagercliclustercodetoolscolorspacedata.tabledigestdoParallelfansifarverforeachggplot2gluegridBasegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeNMFpillarpkgconfigplyrpmledeconR6RColorBrewerRcppregistryreshape2rlangrmutilrngtoolsscalessplitstackshapestringistringrtibbleutf8vctrsviridisLitewithr