Package: VisitorCounts 2.0.2

Robert Bowen

VisitorCounts: Modeling and Forecasting Visitor Counts Using Social Media

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> .

Authors:Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]

VisitorCounts_2.0.2.tar.gz
VisitorCounts_2.0.2.tar.gz(r-4.5-noble)VisitorCounts_2.0.2.tar.gz(r-4.4-noble)
VisitorCounts_2.0.2.tgz(r-4.4-emscripten)VisitorCounts_2.0.2.tgz(r-4.3-emscripten)
VisitorCounts.pdf |VisitorCounts.html✨
VisitorCounts/json (API)
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18 exports 0.23 score 47 dependencies 8 scripts 441 downloads

Last updated 30 days agofrom:90cb06c460. Checks:OK: 2. Indexed: yes.

Exports:auto_decomposecheck_argumentsconvert_ts_forecast_to_dfdecompose_proxyestimate_lagestimate_parametersfit_modelgenerate_proxy_trend_forecastsimputationlabel_visitation_forecastnew_decompositionnew_visitation_forecastnew_visitation_forecast_ensemblenew_visitation_modelprediction_warningtrim_training_datavisitation_modelyearsToMonths

Dependencies:clicolorspacecurlfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangRssascalessvdtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo