expectreg: Expectile and Quantile Regression (original) (raw)
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.
Version: | 0.53 |
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Depends: | R (≥ 3.5.0), stats, parallel, mboost (≥ 2.1.0), BayesX (≥ 0.2-4), Matrix |
Imports: | Rcpp (≥ 0.11.2), splines, quadprog, colorspace (≥ 0.97), fields |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | SemiPar |
Published: | 2024-02-02 |
DOI: | 10.32614/CRAN.package.expectreg |
Author: | Fabian Otto-Sobotka [cre], Elmar Spiegel [aut], Sabine Schnabel [aut], Linda Schulze Waltrup [aut], Paul Eilers [ctb], Thomas Kneib [ths], Goeran Kauermann [ctb] |
Maintainer: | Fabian Otto-Sobotka <fabian.otto-sobotka at uni-oldenburg.de> |
License: | GPL-2 |
NeedsCompilation: | yes |
Citation: | expectreg citation info |
Materials: | |
CRAN checks: | expectreg results |
Documentation:
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