The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SWTools: Helper Tools for Australian Hydrologists

Functions to speed up work flow for hydrological analysis. Focused on Australian climate data (SILO climate data), hydrological models (eWater Source) and in particular South Australia (<https://water.data.sa.gov.au> hydrological data).

Version: 1.1.0
Depends: R (≥ 4.0.0)
Imports: httr, zoo, dplyr, tidyr, readr, tibble, forcats, stringr, rlang, rmarkdown, ggplot2, ggpubr, ggspatial, prettymapr, magrittr, hydroTSM, jsonlite, sf, lubridate, segmented
Published: 2024-10-14
DOI: 10.32614/CRAN.package.SWTools
Author: Matt Gibbs [aut, cre]
Maintainer: Matt Gibbs <gibbs.ms at gmail.com>
BugReports: https://github.com/matt-s-gibbs/swtools/issues
License: GPL-3
URL: https://github.com/matt-s-gibbs/SWTools
NeedsCompilation: no
Citation: SWTools citation info
Materials: README NEWS
In views: Hydrology
CRAN checks: SWTools results

Documentation:

Reference manual: SWTools.pdf

Downloads:

Package source: SWTools_1.1.0.tar.gz
Windows binaries: r-devel: SWTools_1.1.0.zip, r-release: SWTools_1.1.0.zip, r-oldrel: SWTools_1.1.0.zip
macOS binaries: r-release (arm64): SWTools_1.1.0.tgz, r-oldrel (arm64): SWTools_1.1.0.tgz, r-release (x86_64): SWTools_1.1.0.tgz, r-oldrel (x86_64): SWTools_1.1.0.tgz
Old sources: SWTools archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SWTools to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.