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This package was removed from CRAN on 2022-09-28. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 2.0, its last release before removal.

BayesSummaryStatLM

2.0

MCMC Sampling of Bayesian Linear Models via Summary Statistics

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downloads / year
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Overview

About
Maintained by Erin Conlon3 releasesCRAN page ↗

Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of Bayesian linear regression model parameters that require only summary statistics of data as input. Summary statistics are useful for systems with very limited amounts of physical memory. The package provides two functions: one function that computes summary statistics of data and one function that carries out the MCMC posterior sampling for Bayesian linear regression models where summary statistics are used as input. The function read.regress.data.ff utilizes the R package 'ff' to handle data sets that are too large to fit into a user's physical memory, by reading in data in chunks. See Miroshnikov, Savel'ev and Conlon (2015) arXiv:1503.00635.

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CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
40%

Downloads

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Also on73 r2u34 autocran41 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.1.1mvnfastffbit
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

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People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-09-28
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • 2.0
    2021-07-01 · diff ↗
  • unarchivedReturned to CRAN
    2021-07-01
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2020-08-14
    check problems were not corrected in time
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0-1
    2015-01-01 · diff ↗
  • 1.0
    2015-01-01
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

Total releases
3
License
GPL (>= 2) OSI
Minimum R
≥ 3.1.1
Bundled data
1.1 MB / 4 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesSummaryStatLM")
Savel'ev, E., Miroshnikov, A., & Conlon, E. (n.d.). BayesSummaryStatLM: MCMC Sampling of Bayesian Linear Models via Summary Statistics (Version 2.0) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=BayesSummaryStatLM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesSummaryStatLM version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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