Package: gumboot 1.0.1

gumboot: Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit Statistics

Uses jackknife and bootstrap methods to quantify the sampling uncertainty in goodness-of-fit statistics. Full details are in Clark et al. (2021), "The abuse of popular performance metrics in hydrologic modeling", Water Resources Research, <doi:10.1029/2020WR029001>.

Authors:Martyn Clark [aut], Kevin Shook [aut, trl, cre]

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gumboot.pdf |gumboot.html✨
gumboot/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 223 downloads 4 exports 40 dependencies

Last updated 1 years agofrom:fc5db8ab1a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:bootjackCAMELS_bootjackggplot_estimate_uncertaintiesread_CAMELS

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellncdf4nlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbletidyselecttimechangeutf8vctrsviridisLitewithr

Using gumboot

Martyn Clark and Kevin Shook

Rendered fromusing_gumboot.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2021-08-06
Started: 2021-08-06