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.


News

== Version 1.1.5 (2019-01-15)

Fix bugs in 'generate_data()' and 'evaluate_ssm()'

Corrected typo-errors in the Manual

Added generalized logistic function as option in 'generate_data()' and 'run_ssm()'

Added BugReports link in the Manual

Added references in the Manual

Reference manual

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install.packages("ssMousetrack")

1.1.5 by Antonio Calcagnì, 5 months ago


Report a bug at https://github.com/antcalcagni/ssMousetrack/issues


Browse source code at https://github.com/cran/ssMousetrack


Authors: Antonio Calcagnì , Massimiliano Pastore


Documentation:   PDF Manual  


Task views: Bayesian Inference


GPL (>= 3) license


Imports rstan, rstantools, CircStats, dtw, ggplot2, cowplot

Depends on methods, Rcpp

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make


See at CRAN