Spatial Regression Models with Compositional Data R package CompositionalSR version 1.4 Spatial and non-spatial regression models with compositional responses (and compositional predictors) using the alpha--transformation. Relevant papers include: Tsagris M. and Pantazis Y. (2026), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Software Depends: R (>= 4.0) Imports: blockCV, Compositional, doParallel, foreach, gslnls, minpack.lm, parallel, rangen, Rfast, sf, spmoran, stats, utils Suggests: Rfast2 Michail Tsagris <mtsagris@uoc.gr> Comprehensive R Archive Network (CRAN) Michail Tsagris [aut, cre] GPL (>= 2) 2026-04-14 application/tgz https://CRAN.R-project.org/package=CompositionalSR doi:10.32614/CRAN.package.CompositionalSR