Expectile and Quantile Regression Expectile and quantile regression of models with nonlinear effects e.g. spatial, random, ridge using least asymmetric weighed squares / absolutes as well as boosting; also supplies expectiles for common distributions. Software Depends: R (>= 2.14.0), mboost (>= 2.1.0), BayesX (>= 0.2-4), quadprog, stats, parallel Imports: splines Suggests: SemiPar, fields Fabian Sobotka <fabian.sobotka@uni-oldenburg.de> Fabian Sobotka <fabian.sobotka@uni-oldenburg.de>, Sabine Schnabel <sabine.schnabel@wur.nl> and Linda Schulze Waltrup <lschulze_waltrup@wiwi.uni-bielefeld.de> with contributions from Paul Eilers <p.eilers@erasmusmc.nl>, Thomas Kneib <tkneib@uni-goettingen.de> and Goeran Kauermann <goeran.kauermann@stat.uni-muenchen.de>. GPL-2 2012-02-14 application/tgz http://CRAN.R-project.org/package=expectreg