https://github.com/antonio-calcagni/ssmousetrack

Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan
https://github.com/antonio-calcagni/ssmousetrack

bayesian-data-analysis mouse-tracking state-space-model

Last synced: about 1 month ago
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Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan

• Host: GitHub
• URL: https://github.com/antonio-calcagni/ssmousetrack
• Owner: antonio-calcagni
• License: gpl-3.0
• Created: 2019-01-13T20:31:21.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2025-03-16T15:43:57.000Z (over 1 year ago)
• Last Synced: 2025-09-05T21:42:49.364Z (10 months ago)
• Topics: bayesian-data-analysis, mouse-tracking, state-space-model
• Language: R
• Homepage:
• Size: 96.7 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS
  • License: LICENSE

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# ssMousetrack

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

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.

Current version of the package: 1.1.6 | URL: https://cran.r-project.org/web/packages/ssMousetrack/

Calcagnì, A.; Pastore, M.; Altoé, G. ssMousetrack—Analysing Computerized Tracking Data via Bayesian State-Space Models in R. Math. Comput. Appl. 2020, 25, 41 (https://www.mdpi.com/2297-8747/25/3/41)

Preprint is also available at: 

https://arxiv.org/pdf/1904.10172.pdf