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VisitorCounts

2.0.4Package record

Modeling and Forecasting Visitor Counts Using Social Media

0packages depend
3.3Kdownloads / year
44.2%test coverage
13/13flavors OK

Overview

About

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 .

Changes in 2.0.4
  • Relicensed from GPL-3 to MIT.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-10
  • WARNING12 OK, 1 WARNING2026-05-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.4
READMEYes · 629 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.0.4Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
36
Examples that run
100%15 run in a plain check
Exported functions with examples
17%
Documented parameters
100%
Return-value docs
89%
Help pages citing references
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #10,394 · ~9/day · ~272/mo
Daily download trend is not available in this view yet.
43330 days
97190 days
3.3K1 year
Compare downloads with other packages →
Also on74 r2u10 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing VisitorCounts adds 31 packages (18 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, colorspace 2.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5.0
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0.0 (2021)
Author · added in 1.0.1
Releases (8)

Pick two releases to compare their code metrics.

  • 2.0.4Latest
    record
    2026-05-27 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0.3
    record
    2025-01-16 · diff ↗
  • 2.0.2
    record
    2024-08-18 · diff ↗
  • 2.0.1
    record
    2024-07-31 · diff ↗ ·
    added 1 export
    convert_ts_forecast_to_df
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.0
    record
    2024-03-25 · diff ↗ ·
    added 4 exports
    label_visitation_forecast, new_visitation_forecast_ensemble, prediction_warning, trim_training_data
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    record
    2023-02-03 · diff ↗ ·
    added 2 exports
    imputation, yearsToMonths
  • 1.0.1
    record
    2022-04-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2021-11-25
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-25
Total releases
8 / 5 yrs
License
MIT + file LICENSE OSI · relicensed from GPL-3 in 2.0.4
Minimum R
≥ 3.5.0
Bundled data
23 KB / 3 files
Download size
889 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("VisitorCounts")
Bowen, R., Brackett, B. A., Goebel, R., Noguchi, K., & Way, D. (2026). VisitorCounts: Modeling and Forecasting Visitor Counts Using Social Media (Version 2.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.VisitorCounts

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for VisitorCounts version 2.0.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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