Package: VisitorCounts
Type: Package
Title: Modeling and Forecasting Visitor Counts Using Social Media
Version: 2.0.3
Date: 2025-1-13
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 <robertbowen.bham@gmail.com>
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) <doi:10.1002/for.2965> .
License: GPL-3
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: 2025-01-14 15:20:33 UTC; Admim
Repository: CRAN
Date/Publication: 2025-01-15 23:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 15:43:48 UTC; unix
