R Observatory: Metrics for BVSNLP version 1.1.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-12-25. Its history is shown below.

Reason: issues were not addressed in time

Details below reflect version 1.1.9, its last release before removal.

BVSNLP

1.1.9Package record

Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Amir NikooienejadCRAN page ↗

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.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/BVSNLP/BVSNLP_1.1.9.tar.gz"
pkgFile <- "BVSNLP_1.1.9.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.1.9) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.9

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 88%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on329 r2u11 autocran

How downloads are counted

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.0

Imports (4)

Rcpp doParallel foreachparallel

LinkingTo (4)

Rcpp RcppArmadillo RcppEigen RcppNumerical

Suggests (1)

doMPI

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Amir Nikooienejad

Author, Maintainer since 0.9.5 (2017)

Valen E. Johnson

Thesis advisor · added in 0.9.7

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-12-25
issues were not addressed in time
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.9
record
2020-08-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.8
record
2019-06-12 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.5
record
2018-05-17 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.1.0
record
2018-03-26 · diff ↗
0.9.10
record
2018-02-07 · diff ↗
0.9.8
record
2018-01-12 · diff ↗

Show 4 earlier eventsHide 4 earlier events

0.9.7
record
2018-01-08 · diff ↗
0.9.6
record
2017-12-19 · diff ↗
0.9.5
record
2017-12-18
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-12-18
Total releases: 9 / 9 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.1.0

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BVSNLP")

Format

Nikooienejad, A., & Johnson, V. E. (n.d.). BVSNLP: Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors (Version 1.1.9) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=BVSNLP

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BVSNLP version 1.1.9 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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