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FunctanSNP  

Functional Analysis (with Interactions) for Dense SNP Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FunctanSNP", "0.1.0")



Attach the package and use:
library("FunctanSNP")
Maintained by
Rui Ren
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-18
Latest Update: 2022-10-18
Description:
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) ).
How to cite:
Rui Ren (2022). FunctanSNP: Functional Analysis (with Interactions) for Dense SNP Data. R package version 0.1.0, https://cran.r-project.org/web/packages/FunctanSNP. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
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Other R packages that FunctanSNP depends, imports, suggests or enhances
Complete documentation for FunctanSNP
Functions, R codes and Examples using the FunctanSNP R package
Some associated functions: SNPcvinter . SNPgvf . SNPinter . SNPlm . coefSNPreg . plotGVF . plotRawdata . plotSNPreg . predictSNPreg . simData1 . simData2 . simX . 
Some associated R codes: SNPcvinter.R . SNPgvf.R . SNPinter.R . SNPlm.R . coefSNPreg.R . plotGVF.R . plotRawdata.R . plotSNPreg.R . predictSNPreg.R . simData1.R . simData2.R . simX.R .  Full FunctanSNP package functions and examples
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