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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.
Package details |
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Author | Yun Cai [aut, cre], Hong Gu [aut], Tobias Kenney [aut] |
Maintainer | Yun Cai <Yun.Cai@dal.ca> |
License | GPL (>= 3) |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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