Package: BRRAT 0.0.2

Matt Gibbs

BRRAT: Bayesian Regression Robustness Assessment Test

Tests for a linear relationship in the log ratio between an observed and simulated series and an independent variable. Typically this the error in modelled streamflow at an annual time scale, and a rainfall input. The approach allows for multiple sites as random factors and for multiple replicates of the simulated values. The approach is outlined in Gibbs et al. (2026) in review.

Authors:Matt Gibbs [aut, cre]

BRRAT_0.0.2.tar.gz
BRRAT_0.0.2.zip(r-4.7-x86_64)BRRAT_0.0.2.zip(r-4.7-arm64)BRRAT_0.0.2.zip(r-4.6-x86_64)BRRAT_0.0.2.zip(r-4.6-arm64)
BRRAT_0.0.2.tar.gz(r-4.7-arm64)BRRAT_0.0.2.tar.gz(r-4.7-x86_64)BRRAT_0.0.2.tar.gz(r-4.6-arm64)BRRAT_0.0.2.tar.gz(r-4.6-x86_64)
BRRAT_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BRRAT/json (API)

# Install 'BRRAT' in R:
install.packages('BRRAT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/csiro/hydro_brrat_package/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

onetbbcpp

1.70 score 3 scripts 282 downloads 5 exports 51 dependencies

Last updated from:50eee57980. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK220
linux-devel-x86_64OK242
source / vignettesOK302
linux-release-arm64OK234
linux-release-x86_64OK235
windows-devel-arm64OK308
windows-devel-x86_64OK326
windows-release-arm64OK308
windows-release-x86_64OK274
wasm-releaseOK199

Exports:BRRATexport_BRRAT_csvplot_BRRAT_by_idplot_BRRAT_populationsummarise_BRRAT

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionaldplyrfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrMASSmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbletidyselectutf8vctrsviridisLitewithr