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SplitKnockoff  

Split Knockoffs for Structural Sparsity
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SplitKnockoff", "2.1")



Attach the package and use:
library("SplitKnockoff")
Maintained by
Yuxuan Chen
[Scholar Profile | Author Map]
First Published: 2021-09-13
Latest Update: 2022-03-18
Description:
Split Knockoff is a data adaptive variable selection framework for controlling the (directional) false discovery rate (FDR) in structural sparsity, where variable selection on linear transformation of parameters is of concern. This proposed scheme relaxes the linear subspace constraint to its neighborhood, often known as variable splitting in optimization. Simulation experiments can be reproduced following the Vignette. We include data (both .mat and .csv format) and application with our method of Alzheimer's Disease study in this package. 'Split Knockoffs' is first defined in Cao et al. (2021) <doi:10.48550/arXiv.2103.16159>.
How to cite:
Yuxuan Chen (2021). SplitKnockoff: Split Knockoffs for Structural Sparsity. R package version 2.1, https://cran.r-project.org/web/packages/SplitKnockoff. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.8 (2021-09-13 14:40), 1.0 (2021-11-02 23:20), 1.1 (2022-02-20 22:20), 1.2 (2022-03-18 08:40)
Other packages that cited SplitKnockoff R package
View SplitKnockoff citation profile
Other R packages that SplitKnockoff depends, imports, suggests or enhances
Complete documentation for SplitKnockoff
Functions, R codes and Examples using the SplitKnockoff R package
Some associated functions: W_sign . W_support . canonicalSVD . hittingpoint . normc . sk.create . sk.decompose . sk.filter . sk.select . 
Some associated R codes: canonicalSVD.R . create.R . decompose.R . filter.R . others.R . select.R . statistics_W.R .  Full SplitKnockoff package functions and examples
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