flood

Statistical Methods for the (Regional) Analysis of Flood Frequency

v0.1.1 · Jan 30, 2017 · GPL (>= 2)

Description

Includes several statistical methods for the estimation of parameters and high quantiles of river flow distributions. The focus is on regional estimation based on homogeneity assumptions and computed from multivariate observations (multiple measurement stations). For details see Kinsvater et al. (2017) <arXiv:1701.06455>.

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r-devel-linux-x86_64-debian-clang	NOTE	82.1s
r-devel-linux-x86_64-debian-gcc	NOTE	59.5s
r-devel-linux-x86_64-fedora-clang	OK	120.5s
r-devel-linux-x86_64-fedora-gcc	OK	117.8s
r-devel-macos-arm64	OK	23s
r-devel-windows-x86_64	OK	95s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	58s
r-oldrel-windows-x86_64	OK	115s
r-patched-linux-x86_64	OK	77.4s
r-release-linux-x86_64	OK	74.2s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	72s
r-release-windows-x86_64	OK	92s

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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Friederike Deiters <deiters@statistik.tu-dortmund.de>’

The Description field contains
  see Kinsvater et al. (2017) <arXiv:1701.06455>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Friederike Deiters <deiters@statistik.tu-dortmund.de>’

The Description field contains
  see Kinsvater et al. (2017) <arXiv:1701.06455>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Friederike Deiters <deiters@statistik.tu-dortmund.de>’

The Description field contains
  see Kinsvater et al. (2017) <arXiv:1701.06455>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Friederike Deiters <deiters@statistik.tu-dortmund.de>’

The Description field contains
  see Kinsvater et al. (2017) <arXiv:1701.06455>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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Version History

new 0.1.1 Mar 10, 2026