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mlVAR

0.7.3Package record

Multi-Level Vector Autoregression

2packages dependsuggested by 1
13.1Kdownloads / year
32.7%test coverage
13/13flavors OK

Overview

About

Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.

Changes in 0.7.3
  • Made the backward-compatibility checks of summary() output robust to rounding-boundary flips: summary.mlVAR rounds to 3 decimals, and ~5e-5 cross-platform optimizer jitter can flip the last printed digit when a value sits near a rounding boundary (observed on CRAN win-builder and Debian: 0.370 vs 0.369). The summary columns are now compared against the fit object itself (rounded identically) instead of 3-dp literals; a separate check pins the Beta standard errors against the 0.6.1 reference. No package code was changed

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.4 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.7.3
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.7.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
0%5 never run
Exported functions with examples
50%
Documented parameters
97%
Return-value docs
30%
Help pages citing references
29%

Downloads

13.1K
CRAN downloads in the past year
Rank #3,852 · ~36/day · ~1.1K/mo
Daily download trend is not available in this view yet.
90830 days
2.5K90 days
13.1K1 year
Compare downloads with other packages →
Also on821 r2u2 autocran146 c2d4u

Repository

8Stars
7Forks
0Open issues
0Open PRs
0Releases
164Commits
8Commit identities
164 commits · Last activity 2026-07-18 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
88%
Median days to close, 50 most recently updated closed issues
340
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2025-02-27 · 52026-08-01 · 8
PracticesBeta

Checks run against github.com/sachaepskamp/mlvar on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen on or before 2026-02-06
    Named in .Rbuildignore: .claude
    Commits: at least 42 crediting it in the message
Models named in its commits
  • Claude Opus 4.623 commits · Feb to Mar 2026
  • Claude Fable 515 commits · Jul 2026
  • Claude Opus 4.84 commits · Jul 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing mlVAR adds 107 packages (57 with compiled code, 93 MB of source tarballs). Heaviest: stringi 11 MB, MplusAutomation 7.5 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.3.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (6)
Author, Maintainer since 0.1.0 (2015)
Contributor · added in 0.6.1
Contributor · added in 0.7.3
Contributor · added in 0.5
Releases (16)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.7.3Latest
    record
    2026-03-17 · current release · diff ↗
  • 0.6.1
    record
    2026-03-17 · diff ↗ ·
    added 2 exports
    mlGGM, resimulate
  • 0.5.5
    record
    2026-02-06 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5.2
    record
    2024-02-01 · diff ↗ ·
    removed 1 export
    mlVARsim0
  • 0.5.1
    record
    2023-05-16 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.5
    record
    2021-10-25 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.4.4
    record
    2019-10-21 · diff ↗
  • 0.4.3
    record
    2019-06-20 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 12 earlier eventsHide 12 earlier events
  • 0.4.2
    record
    2019-01-24 · diff ↗
  • 0.4.1
    record
    2018-08-26 · diff ↗ ·
    added 1 export
    mlVARsample
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4
    record
    2017-09-02 · diff ↗ ·
    added 1 export
    importMplus
  • R
    R 3.4.0 released · 2017-04-21
  • 0.3.3
    record
    2017-03-28 · diff ↗
  • 0.3.2
    record
    2016-07-20 · diff ↗
  • 0.3.1
    record
    2016-07-04 · diff ↗
  • 0.3.0
    record
    2016-05-31 · diff ↗ ·
    added 5 exports
    mlVARsim, mlVARsim0, getNet, mlVARcompare, mlVAR0
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.0
    record
    2015-06-10
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-06-10
Total releases
16 / 11 yrs
License
GPL-2 OSI
Minimum R
≥ 3.3.0
Download size
92 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlVAR")
Epskamp, S., Bringmann, L. F., Deserno, M. K., Haslbeck, J. M. B., Isvoranu, A. M., & Veenman, M. (2026). mlVAR: Multi-Level Vector Autoregression (Version 0.7.3) [Computer software]. https://doi.org/10.32614/CRAN.package.mlVAR

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 mlVAR version 0.7.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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