Package: Sshaped 1.2
Yining Chen
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>.
Authors:
Sshaped_1.2.tar.gz
Sshaped_1.2.tar.gz(r-4.7-arm64)Sshaped_1.2.tar.gz(r-4.7-x86_64)Sshaped_1.2.tar.gz(r-4.6-arm64)Sshaped_1.2.tar.gz(r-4.6-x86_64)
Sshaped_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Sshaped/json (API)
| # Install 'Sshaped' in R: |
| install.packages('Sshaped', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:69fd7a943b. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 106 | ||
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 153 | ||
| linux-release-arm64 | OK | 134 | ||
| linux-release-x86_64 | OK | 115 | ||
| wasm-release | OK | 104 |
Exports:cvxregplot.sshapedpredict.sshapedsshapedreg
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nonparametric, Tuning-Free Estimation of S-Shaped Functions | Sshaped-package Sshaped |
| Estimation of an increasing and convex function | cvxreg |
| Plot of a 'sshaped' object | plot.sshaped |
| Predict method for a 'sshaped' fit | predict.sshaped |
| Estimation of an S-shaped function | sshapedreg |
