Package: VisitorCounts Type: Package Title: Modeling and Forecasting Visitor Counts Using Social Media Version: 2.0.4 Date: 2026-05-26 Authors@R: c( person("Robert", "Bowen", email = "robertbowen.bham@gmail.com", role = c("aut", "cre")), person("Russell", "Goebel", email = "rgoebel@bu.edu", role = "aut"), person("Beth Ann", "Brackett", email = "eliannkb@gmail.com", role = "ctb"), person("Kimihiro", "Noguchi", email = "Kimihiro.noguchi@wwu.edu", role = "aut"), person("Dylan", "Way", email = "wayd2@wwu.edu", role="aut") ) Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut] Maintainer: Robert Bowen Description: Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) . License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.2 Imports: Rssa, methods, ggplot2, zoo, cowplot Suggests: knitr, rmarkdown, testthat VignetteBuilder: knitr Depends: R (>= 3.5.0) LazyData: true NeedsCompilation: no Packaged: 2026-07-04 01:29:43 UTC; root Config/pak/sysreqs: libfftw3-dev Repository: https://robertbowencodestrivve.r-universe.dev Date/Publication: 2026-05-27 08:51:31 UTC RemoteUrl: https://github.com/cran/VisitorCounts RemoteRef: HEAD RemoteSha: 88405bb907d70b2c245f14866c0f789a3f16c8d1