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ssMousetrack

1.1.7Package record

Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Estimates previously compiled state-space modeling for mouse-tracking experiments using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.

Install

Health

CRAN checks
13OK
Slowest check: 25.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.7
README· In the repository, left out of the releaseVignettesNoNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
50%4 run in a plain check · 4 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
9%

Downloads

3.1K
CRAN downloads in the past year
Rank #13,060 · ~9/day · ~260/mo
Daily download trend is not available in this view yet.
28030 days
87390 days
3.1K1 year
Compare downloads with other packages →
Also on508 r2u7 autocran114 c2d4u

Repository

Moved from antcalcagni/ssmousetrack.

0Stars
1Forks
2Open issues
0Open PRs
1Releases
24Commits
2Commit identities
state-space-modelmouse-trackingbayesian-data-analysis
License file reads as GPL-3.0 · 24 commits · Last activity 2025-03-16 · The default branch showed an older version (1.1.6) than CRAN on 2026-10-22
Responsiveness
How these are sampled
PRs merged (all time)
60%
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
53

Forks over time

2023-02-09 · 12026-07-07 · 1
PracticesBeta

Checks run against github.com/antcalcagni/ssmousetrack on 2026-10-22.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing ssMousetrack adds 52 packages (24 with compiled code, 46 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, loo 2.7 MB.

Depends (3)
R >= 3.4.0methodsRcpp
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.1.0 (2018)
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
  • 1.1.7Latest
    record
    2025-03-17 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.6
    record
    2023-04-05 · diff ↗
  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.5
    record
    2019-01-16 · diff ↗
  • unarchivedReturned to CRAN
    2019-01-02
  • 1.1.2
    record
    2019-01-02 · diff ↗
  • archivedRemoved from CRAN
    2018-12-24
    it fails to install on macOS
  • 1.1.0
    record
    2018-12-23
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-23
Total releases
5 / 8 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.4.0
Bundled data
43 KB / 2 files
Download size
114 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ssMousetrack")
Calcagnì, A., & Pastore, M. (2025). ssMousetrack: Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan (Version 1.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.ssMousetrack

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 ssMousetrack version 1.1.7 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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