Adaptive Weights Smoothing R package aws version 2.5-7 We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing, the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020). Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27. <doi:10.18637/jss.v095.i06>, Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023), Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>. Software Depends: R (>= 3.4.0), awsMethods (>= 1.1-1) Imports: methods, gsl Joerg Polzehl <joerg.polzehl@wias-berlin.de> Comprehensive R Archive Network (CRAN) Joerg Polzehl [aut, cre], Felix Anker [ctb] GPL (>= 2) 2026-07-13 application/tgz https://CRAN.R-project.org/package=aws doi:10.32614/CRAN.package.aws