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iClusterVB
View on CRAN: Click
here
Download and install iClusterVB package within the R console
Install from CRAN:
install.packages("iClusterVB")
Install from Github:
library("remotes")
install_github("cran/iClusterVB")
Install by package version:
library("remotes")
install_version("iClusterVB", "0.1.4")
Attach the package and use:
library("iClusterVB")
Maintained by
Abdalkarim Alnajjar
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.iClusterVB . https://github.com/AbdalkarimA/iClusterVB/issues . https://github.com/AbdalkarimA/iClusterVB . iClusterVB results . iClusterVB.pdf . Introduction to iClusterVB . iClusterVB_0.1.4.tar.gz . iClusterVB_0.1.4.zip . iClusterVB_0.1.4.zip . iClusterVB_0.1.4.zip . iClusterVB_0.1.4.tgz . iClusterVB_0.1.4.tgz . iClusterVB_0.1.4.tgz . iClusterVB_0.1.4.tgz . iClusterVB_0.1.4.tgz . iClusterVB_0.1.4.tgz . iClusterVB archive . https://CRAN.R-project.org/package=iClusterVB .
First Published: 2024-07-30
Latest Update: 2024-07-30
Description:
A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
How to cite:
Abdalkarim Alnajjar (2024). iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data. R package version 0.1.4, https://cran.r-project.org/web/packages/iClusterVB. Accessed 17 Feb. 2025.
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