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Fitting a Bayesian Sparse Latent Factor Model in Gene Expression Analysis

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Set of tools to find coherent patterns in gene expression (microarray) data using a Bayesian Sparse Latent Factor Model (SLFM) DOI:10.1007/978-3-319-12454-4_15. Considerable effort has been put to build a fast and memory efficient package, which makes this proposal an interesting and computationally convenient alternative to study patterns of gene expressions exhibited in matrices. The package contains the implementation of two versions of the model based on different mixture priors for the loadings: one relies on a degenerate component at zero and the other uses a small variance normal distribution for the spike part of the mixture.

Changes in 1.0.2
  • including package \alias as per "Documenting packages" in R-exts.

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMENoVignettesNoNEWSYes · 33% structured · mentions 1.0.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
6includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
25%
Documented parameters
100%
Return-value docs
25%
Help pages citing references
17%

Downloads

2.6K
CRAN downloads in the past year
Rank #15,258 · ~7/day · ~220/mo
Daily download trend is not available in this view yet.
27930 days
78590 days
2.6K1 year
Compare downloads with other packages →
Also on347 r2u5 autocran56 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing slfm adds 3 packages (2 with compiled code, 2.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, coda 73 KB.

Depends (1)
R >= 3.1.0
Imports (3)
Rcppcodalattice
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.1 (2020)

Previously maintained by Joao Duarte (0.1 to 1.0.0).

Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2Latest
    record
    2023-11-28 · current release · diff ↗
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • unarchivedReturned to CRAN
    2020-03-15
  • 1.0.1
    record
    2020-03-15 · diff ↗
  • archivedRemoved from CRAN
    2020-03-03
    check problems were not corrected despite reminders
  • 1.0.0
    record
    2019-07-28 · diff ↗
  • 0.2.3
    record
    2019-05-27 · diff ↗
  • 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
Show 7 earlier eventsHide 7 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • 0.2.2
    record
    2015-08-10 · diff ↗
  • 0.2.1
    record
    2015-08-08 · diff ↗
  • 0.2.0
    record
    2015-07-29 · diff ↗ ·
    added 1 export
    plot_matrix
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1
    record
    2014-05-08
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-05-08
Total releases
8 / 12 yrs
License
GPL-2 OSI
Minimum R
≥ 3.1.0
Download size
11 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("slfm")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v090.i09.

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 slfm version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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