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: |
0.37 |
| Depends: |
R (≥ 2.14.0), mboost (≥ 2.1.0), BayesX (≥ 0.2-4), quadprog, stats, parallel |
| Imports: |
splines |
| Suggests: |
SemiPar, fields |
| Published: |
2013-04-10 |
| Author: |
Fabian Sobotka, Sabine
Schnabel and Linda Schulze Waltrup with contributions from
Paul Eilers, Thomas Kneib and Goeran Kauermann. |
| Maintainer: |
Fabian Sobotka <fabian.sobotka at wiwi.uni-goettingen.de> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
expectreg results |