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-4.5-noble)CDFt_1.2.tar.gz(r-4.4-noble)
CDFt_1.2.tgz(r-4.4-emscripten)CDFt_1.2.tgz(r-4.3-emscripten)
CDFt.pdf |CDFt.html
CDFt/json (API)

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

Peer review:

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

3 exports 0.61 score 0 dependencies 1 dependents 1 mentions 11 scripts 367 downloads

Last updated 4 years agofrom:a1bf4e5dcb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linuxOKSep 01 2024

Exports:CDFtCramerVonMisesTwoSamplesKolmogorovSmirnov

Dependencies: