Adaptive weights smoothing

AWS is a contributed package within the R-Project for Statistical Computing containing a reference implementation of the adaptive weights smoothing algorithms for local constant likelihood and local polynomial regression models. Binaries for several operating systems are available from the Comprehensive R Archive Network (

Authors: Joerg Polzehl

Reference, including documentation:
J. Polzehl, V.Spokoiny (2006). Propagation-separation approach for local likelihood estimation, Probab. Theory Related Fields, 135 pp. 335--362.

Download: freely available from CRAN server under GPL.

Last modified: Tue Mar 11 16:00:00 CET 2014