Package: SplitKnockoff Type: Package Title: Split Knockoffs for Structural Sparsity Version: 1.1 Date: 2022-02-20 Author: 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) Authors@R: c(person("Haoxue", "Wang", role = c("aut","cre"), comment="Development of the whole packages", email="haoxwang@student.ethz.ch"), person("Yang", "Cao", role = c("aut"), comment="Revison of this package"), person("Xinwei", "Sun", role = c("aut"), comment="Original ideas about the package"), person("Yuan", "Yao", role = c("aut"), comment="Testing for the package and management of the development")) Maintainer: Haoxue Wang 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) . URL: https://github.com/wanghaoxue0/SplitKnockoff BugReports: https://github.com/wanghaoxue0/SplitKnockoff/issues Depends: R (>= 3.5.0) Imports: glmnet, MASS, latex2exp, RSpectra, ggplot2, Matrix, stats, mvtnorm Suggests: knitr, rmarkdown Encoding: UTF-8 VignetteBuilder: knitr NeedsCompilation: no RoxygenNote: 7.1.2 License: MIT + file LICENSE Packaged: 2026-10-01 11:05:35 UTC; root Repository: https://llmquantx.r-universe.dev Date/Publication: 2022-02-21 14:23:56 UTC RemoteUrl: https://github.com/llmquantx/splitknockoff RemoteRef: HEAD RemoteSha: 259761699f55a1b4bf60fddc4c659263812d341f