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Sshaped: Nonparametric, Tuning-Free Estimation of S-Shaped Functions

Estimation of an S-shaped function and its corresponding inflection point via a least squares approach. A sequential mixed primal-dual based algorithm is implemented for the fast computation. Details can be found in Feng et al. (2022) <doi:10.1111/rssb.12481>.

Version: 1.1
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 1.0.5)
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-10-13
DOI: 10.32614/CRAN.package.Sshaped
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

Documentation:

Reference manual: Sshaped.pdf

Downloads:

Package source: Sshaped_1.1.tar.gz
Windows binaries: r-devel: Sshaped_1.1.zip, r-release: Sshaped_1.1.zip, r-oldrel: Sshaped_1.1.zip
macOS binaries: r-release (arm64): Sshaped_1.1.tgz, r-oldrel (arm64): Sshaped_1.1.tgz, r-release (x86_64): Sshaped_1.1.tgz, r-oldrel (x86_64): Sshaped_1.1.tgz
Old sources: Sshaped archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.