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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.

Version: 1.1.6
Depends: methods, R (≥ 3.4.0), Rcpp (≥ 1.0.0)
Imports: rstan (≥ 2.18.2), rstantools (≥ 1.5.1), CircStats, dtw, ggplot2, cowplot, RcppParallel
LinkingTo: BH (≥ 1.66.0-1), Rcpp (≥ 1.0.0), RcppEigen (≥ 0.3.3.5.0), rstan (≥ 2.18.2), StanHeaders (≥ 2.18.0), RcppParallel
Published: 2023-04-05
DOI: 10.32614/CRAN.package.ssMousetrack
Author: Antonio Calcagnì, Massimiliano Pastore
Maintainer: Antonio Calcagnì <ant.calcagni at gmail.com>
BugReports: https://github.com/antcalcagni/ssMousetrack/issues
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
In views: Bayesian
CRAN checks: ssMousetrack results

Documentation:

Reference manual: ssMousetrack.pdf

Downloads:

Package source: ssMousetrack_1.1.6.tar.gz
Windows binaries: r-devel: ssMousetrack_1.1.6.zip, r-release: ssMousetrack_1.1.6.zip, r-oldrel: ssMousetrack_1.1.6.zip
macOS binaries: r-release (arm64): ssMousetrack_1.1.6.tgz, r-oldrel (arm64): ssMousetrack_1.1.6.tgz, r-release (x86_64): ssMousetrack_1.1.6.tgz, r-oldrel (x86_64): ssMousetrack_1.1.6.tgz
Old sources: ssMousetrack archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ssMousetrack to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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