expectreg: 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.
Version: |
0.39 |
Depends: |
R (≥ 2.14.0), stats, parallel, mboost (≥ 2.1.0), BayesX (≥
0.2-4) |
Imports: |
splines, quadprog |
Suggests: |
SemiPar, fields |
Published: |
2014-03-05 |
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 |
Materials: |
ChangeLog |
CRAN checks: |
expectreg results |
Downloads:
Reverse dependencies:
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