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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:a1bf4e5dcb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux | OK | Dec 18 2024 |
Exports:CDFtCramerVonMisesTwoSamplesKolmogorovSmirnov
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Downscaling or bias correction of CDF through CDF-transformation | CDFt |
| Computation of the two-sample Cramer-von Mises statistics | CramerVonMisesTwoSamples |
| Computation of the Kolmogorov-Smirnov statistics | KolmogorovSmirnov |