expectreg (0.50)

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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.

Maintainer: Fabian Otto-Sobotka
Author(s): Fabian Otto-Sobotka [cre], Elmar Spiegel [aut], Sabine Schnabel [aut], Linda Schulze Waltrup [aut], Paul Eilers [ctb], Thomas Kneib [ths], Goeran Kauermann [ctb]

License: GPL-2

Uses: BayesX, colorspace, fields, Matrix, mboost, quadprog, Rcpp, SemiPar
Reverse depends: LinearizedSVR

Released 5 months ago.

13 previous versions



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