Other packages > Find by keyword >

BVSNLP  

Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BVSNLP", "1.1.9")



Attach the package and use:
library("BVSNLP")
Maintained by
Amir Nikooienejad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-18
Latest Update: 2020-08-28
Description:
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. product moment (pMOM) and product inverse moment (piMOM) nonlocal priors are implemented and can be used for the analyses. This package 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.
How to cite:
Amir Nikooienejad (2017). BVSNLP: Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors. R package version 1.1.9, https://cran.r-project.org/web/packages/BVSNLP. Accessed 13 Mar. 2026.
Previous versions and publish date:
0.9.5 (2017-12-18 13:12), 0.9.6 (2017-12-19 21:23), 0.9.7 (2018-01-08 15:52), 0.9.8 (2018-01-13 01:23), 0.9.10 (2018-02-07 21:43), 1.1.0 (2018-03-27 01:10), 1.1.5 (2018-05-17 09:07), 1.1.8 (2019-06-12 07:40), 1.1.9 (2020-08-28 19:00)
Other packages that cited BVSNLP R package
View BVSNLP citation profile
Other R packages that BVSNLP depends, imports, suggests or enhances
Complete documentation for BVSNLP
Functions, R codes and Examples using the BVSNLP R package
Some associated functions: CoefEst . HyperSelect . ModProb . PreProcess . bvs . cox_bvs . logreg_bvs . predBMA . 
Some associated R codes: CoefEst.R . HyperSelect.R . ModProb.R . PreProcess.R . RcppExports.R . bvs.R . matprep.R . predBMA.R . predmat.R . zzz.R .  Full BVSNLP package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gtop  
Game-Theoretically OPtimal (GTOP) Reconciliation Method
In hierarchical time series (HTS) forecasting, the hierarchical relation between multiple time serie ...
Download / Learn more Package Citations See dependency  
beezdemand  
Behavioral Economic Easy Demand
Facilitates many of the analyses performed in studies of behavioral economic demand. The package su ...
Download / Learn more Package Citations See dependency  
bzinb  
Bivariate Zero-Inflated Negative Binomial Model Estimator
Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model ...
Download / Learn more Package Citations See dependency  
coalitions  
Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies
An implementation of a Bayesian framework for the opinion poll based estimation of event probabilit ...
Download / Learn more Package Citations See dependency  
pedsuite  
Easy Installation of the 'pedsuite' Packages for Pedigree Analysis
The 'ped suite' is a collection of packages for pedigree analysis, covering applications in forensi ...
Download / Learn more Package Citations See dependency  
Rlabkey  
Data Exchange Between R and 'LabKey' Server
The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Serve ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA