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>.

Package details

AuthorOliver Y. Feng [aut], Yining Chen [aut, cre], Qiyang Han [aut], Raymond J. Carroll [aut], Richard J. Samworth [aut]
MaintainerYining Chen <y.chen101@lse.ac.uk>
LicenseGPL-2
Version0.99
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Sshaped")

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Sshaped documentation built on March 2, 2021, 5:07 p.m.