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isva  

Independent Surrogate Variable Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("isva", "1.9")



Attach the package and use:
library("isva")
Maintained by
Andrew Teschendorff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-08-17
Latest Update: 2017-01-14
Description:
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, ).
How to cite:
Andrew Teschendorff (2010). isva: Independent Surrogate Variable Analysis. R package version 1.9, https://cran.r-project.org/web/packages/isva. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2010-08-17 07:06), 1.1 (2010-12-06 17:00), 1.2 (2011-08-19 06:54), 1.3 (2011-09-07 19:53), 1.5 (2012-09-24 23:33), 1.6 (2012-09-25 07:57), 1.7 (2012-09-25 19:13), 1.8 (2013-11-04 10:22)
Other packages that cited isva R package
View isva citation profile
Other R packages that isva depends, imports, suggests or enhances
Complete documentation for isva
Functions, R codes and Examples using the isva R package
Some associated functions: DoISVA . EstDimRMT . isva-package . isvaFn . simdataISVA . 
Some associated R codes: DoISVA.R . EstDimRMT.R . isvaFn.R .  Full isva package functions and examples
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