Recent technological advances have provided new settings to enhance
individual-based data collection and computerized-tracking data have became
common in many behavioral and social research. By adopting instantaneous
tracking devices such as computer-mouse, wii, and joysticks, such data provide
new insights for analysing the dynamic unfolding of response process.
ssMousetrack is a R package for modeling and analysing computerized-tracking
data by means of a Bayesian state-space approach. The package provides a set of
functions to prepare data, fit the model, and assess results via simple
diagnostic checks. This paper describes the package and illustrates how it can
be used to model and analyse computerized-tracking data. A case study is also
included to show the use of the package in empirical case studies
