Split Knockoffs for Structural Sparsity

A novel method for controlling the false discovery rate (FDR) in structural sparsity setting. 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 defined in Cao et al. (2021) .


Reference manual

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1.0 by Haoxue Wang, 3 months ago


Report a bug at https://github.com/wanghaoxue0/SplitKnockoff/issues

Browse source code at https://github.com/cran/SplitKnockoff

Authors: Haoxue Wang [aut, cre] (Development of the whole packages) , Yang Cao [aut] (Revison of this package) , Xinwei Sun [aut] (Original ideas about the package) , Yuan Yao [aut] (Testing for the package and management of the development)

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports glmnet, MASS, latex2exp, RSpectra, ggplot2, Matrix, stats, mvtnorm

Suggests knitr, rmarkdown

See at CRAN