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An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.
| Version: | 1.0.0 |
| Depends: | methods |
| Published: | 2015-08-28 |
| DOI: | 10.32614/CRAN.package.KERE |
| Author: | Yi Yang, Teng Zhang, Hui Zou |
| Maintainer: | Yi Yang <yiyang at umn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | KERE results |
| Reference manual: | KERE.pdf |
| Package source: | KERE_1.0.0.tar.gz |
| Windows binaries: | r-devel: KERE_1.0.0.zip, r-release: KERE_1.0.0.zip, r-oldrel: KERE_1.0.0.zip |
| macOS binaries: | r-release (arm64): KERE_1.0.0.tgz, r-oldrel (arm64): KERE_1.0.0.tgz, r-release (x86_64): KERE_1.0.0.tgz, r-oldrel (x86_64): KERE_1.0.0.tgz |
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