Package: fasstr
Title: Analyze, Summarize, and Visualize Daily Streamflow Data
Version: 0.3.1
Authors@R: c(person("Jon", "Goetz", email = "jon.goetz@gov.bc.ca", role = c("aut", "cre")), 
             person("Carl James", "Schwarz", email = "cschwarz.stat.sfu.ca@gmail.com", role = "aut"),
             person("Robin", "Pike", email = "robin.g.pike@gov.bc.ca", role = "ctb"),
             person("Province of British Columbia", role = "cph"))
Description: The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various 
    functions to clean and screen daily stream discharge data; calculate and visualize various summary statistics
    and metrics; and compute annual trending (using 'zyp' package methods <https://CRAN.R-project.org/package=zyp>)
    and volume frequency analyses (using methods similar to HEC-SSP (2019) 
    <https://www.hec.usace.army.mil/software/hec-ssp/>). It features useful function arguments for filtering of and
    handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey
    of Canada hydrometric database (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).
Depends: R (>= 3.2.0)
License: Apache License 2.0
URL: https://github.com/bcgov/fasstr,
        https://www2.gov.bc.ca/gov/content/environment/air-land-water/water
BugReports: https://github.com/bcgov/fasstr/issues
Encoding: UTF-8
Imports: dplyr (>= 0.8.1), e1071 (>= 1.7.0.1), fitdistrplus (>=
        1.0.14), ggplot2 (>= 3.1.0), grDevices, lubridate (>= 1.7.4),
        PearsonDS (>= 1.1), plyr (>= 1.8.4), purrr (>= 0.3.2), RcppRoll
        (>= 0.3.0), scales (>= 1.0.0), tidyhydat (>= 0.4.0), tidyr (>=
        0.8.3), openxlsx (>= 4.1.0), zyp (>= 0.10.1.1)
Suggests: knitr, rmarkdown, testthat
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-08 23:07:20 UTC; JGOETZ
Author: Jon Goetz [aut, cre],
  Carl James Schwarz [aut],
  Robin Pike [ctb],
  Province of British Columbia [cph]
Maintainer: Jon Goetz <jon.goetz@gov.bc.ca>
Repository: CRAN
Date/Publication: 2020-01-09 12:40:02 UTC
Built: R 4.0.0; ; 2020-04-10 11:31:37 UTC; windows
