R Observatory: Metrics for BoomSpikeSlab version 1.2.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BoomSpikeSlab

1.2.7Package record

MCMC for Spike and Slab Regression

2packages depend

35.3Kdownloads / year

73.9%test coverage

13/13flavors OK

Overview

About

Maintained by Steven L. ScottCRAN page ↗

Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See DOI:10.1504/IJMMNO.2014.059942 for an explanation of the Gaussian case.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BoomSpikeSlab", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-boomspikeslab

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BoomSpikeSlab

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BoomSpikeSlab

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

Additional issues

rchk

CRAN check page ↗

Slowest check: 5.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-30
NOTE12 OK, 1 NOTE2026-07-29
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.7

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 41
Examples that run: 86%25 run in a plain check (2 of them under a condition) · 4 hold no code
Exported functions with examples: 70%
Documented parameters: 81%
Return-value docs: 75%
Help pages citing references: 39%

How these are measured

Downloads

35.3K

CRAN downloads in the past year

Rank #1,942 · ~97/day · ~2.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

4K30 days

9.7K90 days

35.3K1 year

Compare downloads with other packages →

Also on2.1K r2u54 autocran9.7K conda_forge622 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing BoomSpikeSlab adds 1 package (1 with compiled code, 2.5 MB of source tarballs). Heaviest: Boom 2.5 MB.

Depends (2)

R >= 4.5.0Boom

Imports (0)

none

LinkingTo (1)

Boom

Suggests (4)

MASStestthat mlbench igraph

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

6indirect

Depends 1 · Imports 1

Depends, Imports or LinkingTo, most downloaded first

bsts SSVS

How these are counted

Code & Tests

People & History

People (1)

Steven L. Scott

Author, Maintainer since 0.4.1 (2014)

Listed in earlier versions (1)

Scott

no longer listed · 1.2.7

Releases (18)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.2.7Latest
record
2025-09-04 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.2.6
record
2023-12-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.2.5
record
2022-05-26 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.2.4
record
2021-04-06 · diff ↗ ·
added 1 export
PlotLmSpikeFit
1.2.3
record
2020-05-01 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.2
record
2020-03-31 · diff ↗
1.2.1
record
2019-09-04 · diff ↗ ·
added 4 exports
BsplineBasis, IsplineBasis, knots, MsplineBasis
1.1.1
record
2019-06-07 · diff ↗ ·
added 1 export
ConditionalZellnerPrior
1.1.0
record
2019-05-18 · diff ↗ ·
added 12 exports
BayesNnet, HiddenLayer, OdaOptions, PartialDependencePlot, PlotBayesNnetPredictions, PlotBayesNnetResiduals, PlotNetworkStructure, SpikeSlabGlmPriorDirect, SpikeSlabPriorDirect, SsvsOptions, SuggestBurn, predict.BayesNnet

Show 15 earlier eventsHide 15 earlier events

R
R 3.6.0 released · 2019-04-26
1.0.0
record
2018-04-30 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.0
record
2017-05-28 · diff ↗ ·
added 3 exports
CoefficientGroup, NestedRegression, ShrinkageRegression
R
R 3.4.0 released · 2017-04-21
0.8.0
record
2017-04-08 · diff ↗ ·
added 5 exports
plot.logit.spike, plot.qreg.spike, plot.poisson.spike, predict.qreg.spike, qreg.spike
0.7.0
record
2016-08-18 · diff ↗ ·
removed 1 export
print.summary.lm.spike

added 6 exports
PlotProbitSpikeResiduals, predict.logit.spike, predict.probit.spike, probit.spike, summary.logit.spike, summary.probit.spike
0.6.0
record
2016-05-21 · diff ↗ ·
added 4 exports
PlotLmSpikeCoefficients, PlotLmSpikeResiduals, model.matrix.glm.spike, residuals.lm.spike
R
R 3.3.0 released · 2016-05-03
0.5.3
record
2016-03-15 · diff ↗ ·
added 6 exports
GetPredictorMatrix, LogitZellnerPrior, PoissonZellnerPrior, SpikeSlabGlmPrior, StudentIndependentSpikeSlabPrior, StudentSpikeSlabPrior
R
R 3.2.0 released · 2015-04-16
0.5.2
record
2014-12-04 · diff ↗
0.5.1
record
2014-12-03 · diff ↗ ·
added 5 exports
poisson.spike, PlotLogitSpikeFitSummary, PlotLogitSpikeResiduals, PlotMarginalInclusionProbabilities, predict.poisson.spike
0.4.1
record
2014-06-24
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-06-24
Total releases: 18 / 12 yrs
License: LGPL-2.1 | file LICENSE OSI
Minimum R: ≥ 4.5.0
Download size: 129 KB

Appears in task views

Bayesian Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BoomSpikeSlab")

Format

Scott, S. L. (2025). BoomSpikeSlab: MCMC for Spike and Slab Regression (Version 1.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.BoomSpikeSlab

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 BoomSpikeSlab version 1.2.7 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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