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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:

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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.