Multivariate Weather-State Approach Conditionally Skew-Normal Generator R package WACS version 1.2.0 A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable 'Rain' and can accept as many other variables as desired. Software Depends: R (>= 3.5.0) Imports: mclust, mnormt, tmvtnorm, mvtnorm Ronan Trépos <ronan.trepos@inrae.fr> Comprehensive R Archive Network (CRAN) Denis Allard [aut] (ORCID: <https://orcid.org/0000-0001-7944-1906>), Ronan Trépos [aut, cre] (ORCID: <https://orcid.org/0000-0002-3338-9337>) GPL (>= 2.0) 2026-05-29 application/tgz https://CRAN.R-project.org/package=WACS doi:10.32614/CRAN.package.WACS