Package: phenocamr
Title: Facilitates 'PhenoCam' Data Access and Time Series
        Post-Processing
Version: 1.1.5
Authors@R: c(person(
               family = "Hufkens",
               given = "Koen",
               email = "koen.hufkens@gmail.com",
               role = c("aut", "cre"),
               comment = c(ORCID = "0000-0002-5070-8109")),
              person(given = "BlueGreen Labs",
                role = c("cph", "fnd")))
Description: 
    Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>).
    Allows for easy downloading of 'PhenoCam' data directly to your R workspace
    or your computer and provides post-processing routines for consistent and easy
    timeseries outlier detection, smoothing and estimation of phenological transition dates.
    Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Depends: R (>= 3.6)
Imports: jsonlite, changepoint, httr, zoo, utils, graphics, stats,
        memoise, daymetr, MODISTools
Suggests: shiny, covr, testthat, knitr, rmarkdown, shinydashboard,
        leaflet, plotly, DT
License: AGPL-3
ByteCompile: true
RoxygenNote: 7.2.0
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/bluegreen-labs/phenocamr
BugReports: https://github.com/bluegreen-labs/phenocamr/issues
NeedsCompilation: no
Packaged: 2022-07-20 20:11:00 UTC; khufkens
Author: Koen Hufkens [aut, cre] (<https://orcid.org/0000-0002-5070-8109>),
  BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-20 23:00:02 UTC
Built: R 4.6.0; ; 2025-07-18 08:15:19 UTC; unix
