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sparseMVN

0.2.2Package record

Multivariate Normal Functions for Sparse Covariance and Precision Matrices

5packages depend
7.8Kdownloads / year
23.9%test coverage
13/13flavors OK

Overview

About

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

Changes in 0.2.2
  • Added links to new pkgdown website
  • Suggests packages used conditionally in tests
  • Other minor fixes

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.2.2Citation fileNoWebsiteYes · pkgdown
Help pages
4includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
67%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

7.8K
CRAN downloads in the past year
Rank #4,457 · ~21/day · ~648/mo
Daily download trend is not available in this view yet.
62330 days
1.9K90 days
7.8K1 year
Compare downloads with other packages →
Also on347 r2u4 autocran1.3K conda_forge134 c2d4u

Repository

3Stars
0Forks
0Open issues
0Open PRs
3Releases
108Commits
2Commit identities
108 commits · Last activity 2021-12-31 · Default branch at 0.2.2.9001, ahead of CRAN 0.2.2 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2022-08-19 · 32026-07-07 · 3
PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/braunm/sparsemvn on 2026-10-18.

Docs source (2)
pkgdown

GitHub Pages site last deployed 2021-12-31

pkgdown site last built 2021-10-31

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing sparseMVN adds no packages beyond those that come with R.

Depends (1)
R >= 3.4.0
Imports (2)
Matrixmethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
5direct
0indirect
Imports 5
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 0.1.0 (2013), Copyright holder
Releases (5)

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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.2Latest
    record
    2021-10-25 · current release · diff ↗
  • 0.2.1.1
    record
    2021-10-24 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 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
  • 0.2.1
    record
    2017-05-24 · diff ↗ ·
    added 4 exports
    binary.f, binary.grad, binary.hess, binary.sim
  • 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
  • 0.2.0
    record
    2015-02-06 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 2 exports
    dmvn.sparse, rmvn.sparse
Show 3 earlier eventsHide 3 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 0.1.0
    record
    2013-11-05
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-11-05
Total releases
5 / 13 yrs
License
MPL (>= 2.0)
Minimum R
≥ 3.4.0
Download size
454 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparseMVN")
Braun, M. (2021). sparseMVN: Multivariate Normal Functions for Sparse Covariance and Precision Matrices (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.sparseMVN

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sparseMVN version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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