Functions and data sets for penalized data sharpening. Nonparametric regressions are computed subject to smoothness and other kinds of penalties.
| Version: | 1.6 |
| Depends: | KernSmooth, MASS, glmnet, np, Matrix |
| Published: | 2021-02-17 |
| Author: | W.J. Braun [aut], D. Wang [aut, cre], X.J. Hu [ctb] |
| Maintainer: | D. Wang <wdy at mail.ubc.ca> |
| License: | Unlimited |
| NeedsCompilation: | yes |
| CRAN checks: | sharpPen results |
| Reference manual: | sharpPen.pdf |
| Package source: | sharpPen_1.6.tar.gz |
| Windows binaries: | r-devel: sharpPen_1.6.zip, r-release: sharpPen_1.6.zip, r-oldrel: sharpPen_1.6.zip |
| macOS binaries: | r-release: sharpPen_1.6.tgz, r-oldrel: sharpPen_1.6.tgz |
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