DBNMFrank

cranv0.1.0

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

License GPL (>= 3)0 versions1 maintainers2 deps74 weekly dl
https://CRAN.R-project.org/package=DBNMFrank
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  • Low health score (36/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2022-06-03 09:08:44

Last updated · 2022-06-03T07:00:10+00:00

DBNMFrank — Health Score 36/100 | DepScope