The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

ShiftHappens: Detecting, Visualizing and Estimating Shifts

Detecting, visualizing and estimating shifts, with a specific focus on stage-discharge rating shifts. The main methods are described in Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Mansanarez et al. (2019) <doi:10.1029/2018WR023389>. See also 'BayDERS' <https://github.com/MatteoDarienzo/BayDERS> for similar tools, and 'RatingShiftHappens' <https://github.com/Felipemendezrios/RatingShiftHappens> for an older version of this package.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: lubridate, RBaM, ggplot2, scales, dplyr, tidyr, patchwork, RColorBrewer
Suggests: knitr, rmarkdown
Published: 2026-07-29
DOI: 10.32614/CRAN.package.ShiftHappens
Author: Felipe Mendez ORCID iD [aut], Benjamin Renard ORCID iD [aut, cre, cph], Matteo Darienzo [aut], INRAE [fnd], Ministère de la Transition Ecologique - SCHAPI [fnd]
Maintainer: Benjamin Renard <benjamin.renard at inrae.fr>
License: GPL-3
URL: https://github.com/benRenard/ShiftHappens
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ShiftHappens results

Documentation:

Reference manual: ShiftHappens.html , ShiftHappens.pdf

Downloads:

Package source: ShiftHappens_1.0.1.tar.gz
Windows binaries: r-devel: ShiftHappens_1.0.1.zip, r-release: ShiftHappens_1.0.1.zip, r-oldrel: ShiftHappens_1.0.1.zip
macOS binaries: r-release (arm64): ShiftHappens_1.0.1.tgz, r-oldrel (arm64): ShiftHappens_1.0.1.tgz, r-release (x86_64): ShiftHappens_1.0.1.tgz, r-oldrel (x86_64): ShiftHappens_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ShiftHappens 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.