Package: MBC 0.10-8
MBC: Multivariate Bias Correction of Climate Model Outputs
Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and Cannon (2018) <doi:10.1007/s00382-017-3580-6> are implemented -- (i) MBC Pearson correlation (MBCp), (ii) MBC rank correlation (MBCr), and (iii) MBC N-dimensional PDF transform (MBCn) -- as is the Rank Resampling for Distributions and Dependences (R2D2) method. An additional multivariate rescaling method based on the linear Monge-Kantorovich map for Gaussian optimal transport of dependence structure is also included.
Authors:
MBC_0.10-8.tar.gz
MBC_0.10-8.zip(r-4.7)MBC_0.10-8.zip(r-4.6)MBC_0.10-8.zip(r-4.5)
MBC_0.10-8.tgz(r-4.6-any)MBC_0.10-8.tgz(r-4.5-any)
MBC_0.10-8.tar.gz(r-4.7-any)MBC_0.10-8.tar.gz(r-4.6-any)
MBC_0.10-8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MBC/json (API)
| # Install 'MBC' in R: |
| install.packages('MBC', repos = c('https://alexcannon.r-universe.dev', 'https://cloud.r-project.org')) |
- cccma - Sample CanESM2 and CanRCM4 data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1076970935. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 169 | ||
| source / vignettes | OK | 146 | ||
| linux-release-x86_64 | OK | 160 | ||
| macos-release-arm64 | OK | 105 | ||
| macos-oldrel-arm64 | OK | 117 | ||
| windows-devel | OK | 121 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 83 | ||
| wasm-release | OK | 102 |
