FunctanSNP: Functional Analysis (with Interactions) for Dense SNP Data

An implementation of revised functional regression models for multiple genetic variation data, such as single nucleotide polymorphism (SNP) data, which provides revised functional linear regression models, partially functional interaction regression analysis with penalty-based techniques and corresponding drawing functions, etc.(Ruzong Fan, Yifan Wang, James L. Mills, Alexander F. Wilson, Joan E. Bailey-Wilson, and Momiao Xiong (2013) <doi:10.1002/gepi.21757>).

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: caret, glmnet, lava, MASS, stats, fda, funData, graphics
Published: 2022-10-18
Author: Rui Ren [aut, cre], Kuangnan Fang [aut], Qingzhao Zhang [aut], Shuangge Ma [aut]
Maintainer: Rui Ren <xmurr at stu.xmu.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: FunctanSNP results

Documentation:

Reference manual: FunctanSNP.pdf

Downloads:

Package source: FunctanSNP_0.1.0.tar.gz
Windows binaries: r-devel: FunctanSNP_0.1.0.zip, r-release: FunctanSNP_0.1.0.zip, r-oldrel: FunctanSNP_0.1.0.zip
macOS binaries: r-release (arm64): FunctanSNP_0.1.0.tgz, r-oldrel (arm64): FunctanSNP_0.1.0.tgz, r-release (x86_64): FunctanSNP_0.1.0.tgz

Linking:

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