LBLGXE-package {LBLGXE}R Documentation

Logistic Bayesian Lasso for Rare (or Common) Haplotype Association

Description

The main function of this package is LBL. For details, see ?LBL.

Details

Package: LBLGXE
Type: Package
Version: 1.5
Date: 2020-11-30
License: GPL-3
LazyLoad: yes

Currently available functions: LBL. Type ?LBL for more details.

Author(s)

Xiaochen Yuan, Yuan Zhang, Shuang Xia, Swati Biswas, and Shili Lin

Maintainer: Xiaochen Yuan<xxy142030@utdallas.edu>

References

Yuan X and Biswas S (2020). Detecting rare haplotype association with two correlated phenotypes of binary and continuous types. Statistics in Medicine, revision submitted.

Yuan X and Biswas S (2019). Bivariate Logistic Bayesian LASSO for Detecting Rare Haplotype Association with Two Correlated Phenotypes. Genetic Epidemiology, 43(8):996-1017.

Zhang Y, Hofmann J, Purdue M, Lin S, and Biswas S. Logistic Bayesian LASSO for Genetic Association Analysis of Data from Complex Sampling Designs. Journal of Human Genetics, 62:819-829.

Zhang Y, Lin S, and Biswas S. Detecting Rare and common Haplotype-Environment Interaction under Uncertainty of Gene-Environment Independence Assumption. Biometrics, 73:344-355.

Zhang, Y. and Biswas, S (2015). An Improved Version of Logistic Bayesian LASSO for Detecting Rare Haplotype-Environment Interactions With Application to Lung Cancer, Cancer Informatics, 14(S2): 11-16.

Biswas S, Xia S and Lin S (2014). Detecting Rare Haplotype-Environment Interaction with Logistic Bayesian LASSO. Genetic Epidemiology, 38: 31-41.

Biswas S and Lin S (2012). Logistic Bayesian LASSO for Identifying Association with Rare Haplotypes and Application to Age-related Macular Degeneration. Biometrics, 68(2): 587-97.

Burkett K, Graham J and McNeney B (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. Journal of Statistical Software, 16(2): 1-19.

Examples

#see ?LBL

[Package LBLGXE version 1.5 Index]