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SmartSVA  

Fast and Robust Surrogate Variable Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SmartSVA", "0.1.3")



Attach the package and use:
library("SmartSVA")
Maintained by
Jun Chen
[Scholar Profile | Author Map]
First Published: 2016-11-13
Latest Update: 2017-05-28
Description:
Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.
How to cite:
Jun Chen (2016). SmartSVA: Fast and Robust Surrogate Variable Analysis. R package version 0.1.3, https://cran.r-project.org/web/packages/SmartSVA. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.0 (2016-11-13 16:57), 0.1.1 (2016-11-24 00:05), 0.1.2 (2017-05-26 19:57)
Other packages that cited SmartSVA R package
View SmartSVA citation profile
Other R packages that SmartSVA depends, imports, suggests or enhances
Complete documentation for SmartSVA
Functions, R codes and Examples using the SmartSVA R package
Some associated functions: smartsva.cpp . 
Some associated R codes: RcppExports.R . SmartSVA.R .  Full SmartSVA package functions and examples
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