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DBNMFrank  

Rank Selection for Non-Negative Matrix Factorization
View on CRAN: Click here


Download and install DBNMFrank package within the R console
Install from CRAN:
install.packages("DBNMFrank")

Install from Github:
library("remotes")
install_github("cran/DBNMFrank")

Install by package version:
library("remotes")
install_version("DBNMFrank", "0.1.0")



Attach the package and use:
library("DBNMFrank")
Maintained by
Yun Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-03
Latest Update: 2022-06-03
Description:
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.
How to cite:
Yun Cai (2022). DBNMFrank: Rank Selection for Non-Negative Matrix Factorization. R package version 0.1.0, https://cran.r-project.org/web/packages/DBNMFrank
Previous versions and publish date:
No previous versions
Other packages that cited DBNMFrank R package
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Other R packages that DBNMFrank depends, imports, suggests or enhances
Functions, R codes and Examples using the DBNMFrank R package
Some associated functions: DBrank . 
Some associated R codes: DBrank.R .  Full DBNMFrank package functions and examples
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