BVSNLP swMATH ID: 22350 Software Authors: Amir Nikooienejad Description: R package BVSNLP: Bayesian Variable Selection in High Dimensional Settings using Non-Local Prior. Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. It performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets. Homepage: https://cran.r-project.org/web/packages/BVSNLP/index.html Source Code: https://github.com/cran/BVSNLP Dependencies: R Keywords: Applications; arXiv_stat.AP; Computation; arXiv_stat.CO; arXiv_publication; R package; Bayesian Variable Selection Related Software: R; EMVS; glmnet; survAUC; CRAN; BayesVarSel; dynpred; c060; L-BFGS; GA; Fahrmeir; UCI-ml; PRMLT; icmm; spinyReg; aplore3; BayesLogit Cited in: 5 Publications all top 5 Cited by 15 Authors 1 Cabras, Stefano 1 Castellanos, María Eugenia 1 Elkhouly, Mohamed 1 Ferreira, Marco A. R. 1 García-Donato, Gonzalo 1 Griffin, Jim E. 1 Ji, Tieming 1 Johnson, Valen E. 1 Nikooienejad, Amir 1 Wan, Kitty Yuen Yi 1 Wang, Wenyi 1 Wu, Ho-Hsiang 1 Xu, Shuang 1 Zhang, Chunxia 1 Zhang, Jiangshe Cited in 5 Serials 1 Computational Statistics and Data Analysis 1 The Annals of Applied Statistics 1 Sankhyā. Series A 1 Statistics and Computing 1 Bayesian Analysis Cited in 2 Fields 5 Statistics (62-XX) 1 Probability theory and stochastic processes (60-XX) Citations by Year