Estimation of an S-shaped function and its corresponding inflection point via a least squares approach. A sequential mixed primal-dual bases algorithm is implemented for the fast computation of the estimator. The same algorithm can also be used to solve other shape-restricted regression problems, such as convex regression. For more details, see the PhD thesis of Feng (2021) <https://www.dpmms.cam.ac.uk/~oyf20/Thesis-oyf20-final.pdf>.
| Version: | 0.99 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2021-03-02 |
| Author: | Oliver Y. Feng [aut], Yining Chen [aut, cre], Qiyang Han [aut], Raymond J. Carroll [aut], Richard J. Samworth [aut] |
| Maintainer: | Yining Chen <y.chen101 at lse.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | Sshaped results |
| Reference manual: | Sshaped.pdf |
| Package source: | Sshaped_0.99.tar.gz |
| Windows binaries: | r-devel: Sshaped_0.99.zip, r-release: Sshaped_0.99.zip, r-oldrel: Sshaped_0.99.zip |
| macOS binaries: | r-release: Sshaped_0.99.tgz, r-oldrel: Sshaped_0.99.tgz |
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