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Sshaped: Nonparametric, Tuning-Free Estimation of an S-Shaped Function
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>.
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Package details |
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| 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@lse.ac.uk> |
| License | GPL-2 |
| Version | 0.99 |
| Package repository | View on CRAN |
| Installation |
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