Multivariate Bias Correction of Climate Model Outputs R package MBC version 0.10-7 CRAN Task View: Hydrology (https://CRAN.R-project.org/view=Hydrology) 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. Software Depends: R (>= 2.10), Matrix, energy, FNN Alex J. Cannon <alex.cannon@canada.ca> Comprehensive R Archive Network (CRAN) Alex J. Cannon [aut, cre] (ORCID: <https://orcid.org/0000-0002-8025-3790>) GPL-2 2024-11-12 application/tgz https://CRAN.R-project.org/package=MBC doi:10.32614/CRAN.package.MBC