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: 1.1.5
Depends: methods, R (≥ 3.4.0), Rcpp (≥ 1.0.0)
Imports: rstan (≥ 2.18.2), rstantools (≥ 1.5.1), CircStats, dtw, ggplot2, cowplot
LinkingTo: BH (≥ 1.66.0-1), Rcpp (≥ 1.0.0), RcppEigen (≥ 0.3.3.5.0), rstan (≥ 2.18.2), StanHeaders (≥ 2.18.0)
Published: 2019-01-16
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

Downloads:

Reference manual: ssMousetrack.pdf
Package source: ssMousetrack_1.1.5.tar.gz
Windows binaries: r-devel: ssMousetrack_1.1.5.zip, r-devel-gcc8: ssMousetrack_1.1.5.zip, r-release: ssMousetrack_1.1.5.zip, r-oldrel: ssMousetrack_1.1.5.zip
OS X binaries: r-release: ssMousetrack_1.1.5.tgz, r-oldrel: ssMousetrack_1.1.5.tgz
Old sources: ssMousetrack archive

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