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GWASinlps  

Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GWASinlps", "2.4")



Attach the package and use:
library("GWASinlps")
Maintained by
Nilotpal Sanyal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-10
Latest Update: 2024-10-20
Description:
Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 ).
How to cite:
Nilotpal Sanyal (2017). GWASinlps: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies. R package version 2.4, https://cran.r-project.org/web/packages/GWASinlps. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0 (2017-11-10 10:19), 1.1 (2018-02-02 19:31), 1.2 (2018-07-19 22:40), 2.0 (2022-09-14 10:50), 2.1 (2022-09-17 21:56), 2.2 (2022-11-23 09:10), 2.3 (2024-10-20 06:10)
Other packages that cited GWASinlps R package
View GWASinlps citation profile
Other R packages that GWASinlps depends, imports, suggests or enhances
Complete documentation for GWASinlps
Functions, R codes and Examples using the GWASinlps R package
Some associated functions: GWASinlps-package . GWASinlps . nlps . 
Some associated R codes: GWASinlps.R . RcppExports.R . welcome_msg.R .  Full GWASinlps package functions and examples
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