Package: CDFt 1.2

Mathieu Vrac

CDFt: Downscaling and Bias Correction via Non-Parametric CDF-Transform

Statistical downscaling and bias correction (model output statistics) method based on cumulative distribution functions (CDF) transformation. See Michelangeli, Vrac, Loukos (2009) Probabilistic downscaling approaches: Application to wind cumulative distribution functions. Geophysical Research Letters, 36, L11708, <doi:10.1029/2009GL038401>. ; and Vrac, Drobinski, Merlo, Herrmann, Lavaysse, Li, Somot (2012) Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment. Nat. Hazards Earth Syst. Sci., 12, 2769-2784, www.nat-hazards-earth-syst-sci.net/12/2769/2012/, <doi:10.5194/nhess-12-2769-2012>.

Authors:Mathieu Vrac <[email protected]> and Paul-Antoine Michelangeli <[email protected]>

CDFt_1.2.tar.gz
CDFt_1.2.tar.gz(r-4.7-any)CDFt_1.2.tar.gz(r-4.6-any)
CDFt_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CDFt/json (API)

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

On CRAN:

Conda:

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

1.52 score 1 packages 11 scripts 257 downloads 1 mentions 3 exports 0 dependencies

Last updated from:a1bf4e5dcb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK127
linux-release-x86_64OK103
wasm-releaseOK84

Exports:CDFtCramerVonMisesTwoSamplesKolmogorovSmirnov

Dependencies: