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BcDiag  

Diagnostics Plots for Bicluster Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BcDiag", "1.0.10")



Attach the package and use:
library("BcDiag")
Maintained by
Ewoud De Troyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-01-10
Latest Update: 2015-10-17
Description:
Diagnostic tools based on two-way anova and median-polish residual plots for Bicluster output obtained from packages; "biclust" by Kaiser et al.(2008),"isa2" by Csardi et al. (2010) and "fabia" by Hochreiter et al. (2010). Moreover, It provides visualization tools for bicluster output and corresponding non-bicluster rows- or columns outcomes. It has also extended the idea of Kaiser et al.(2008) which is, extracting bicluster output in a text format, by adding two bicluster methods from the fabia and isa2 R packages.
How to cite:
Ewoud De Troyer (2013). BcDiag: Diagnostics Plots for Bicluster Data. R package version 1.0.10, https://cran.r-project.org/web/packages/BcDiag. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.1 (2013-01-13 19:27), 1.0.2 (2013-03-12 17:19), 1.0.4 (2014-08-08 01:00), 1.0.5 (2014-10-17 17:50), 1.0.6 (2014-12-02 14:53), 1.0.7 (2014-12-03 07:11), 1.0.8 (2015-01-22 13:42), 1.0.9 (2015-10-11 00:40), 1.0.10 (2015-10-17 15:53), 1.0 (2013-01-10 17:35), (2026-07-09 07:58)
Other packages that cited BcDiag R package
View BcDiag citation profile
Other R packages that BcDiag depends, imports, suggests or enhances
Complete documentation for BcDiag
Functions, R codes and Examples using the BcDiag R package
Some associated functions: BcDiag . anomedOnlybic . breastc . dlbcl . exploreBic . exploreOnlybic . profileBic . writeBic . 
Some associated R codes: anomedOnlybic.R . exploreBic.R . exploreOnlybic.R . profileBic.R . support.R . writeBic.R .  Full BcDiag package functions and examples
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