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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling linux/jammy R-4.5 | Sshaped_1.2.tar.gz |
96.0 KiB |
1.2 |
rolling linux/noble R-4.5 | Sshaped_1.2.tar.gz |
97.2 KiB |
1.2 |
rolling source/ R- | Sshaped_1.2.tar.gz |
13.8 KiB |
1.2 |
latest linux/jammy R-4.5 | Sshaped_1.2.tar.gz |
96.0 KiB |
1.2 |
latest linux/noble R-4.5 | Sshaped_1.2.tar.gz |
97.2 KiB |
1.2 |
latest source/ R- | Sshaped_1.2.tar.gz |
13.8 KiB |
1.2 |
2026-04-26 source/ R- | Sshaped_1.2.tar.gz |
13.8 KiB |
1.2 |
2026-04-23 source/ R- | Sshaped_1.2.tar.gz |
13.8 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | Sshaped_1.2.zip |
414.5 KiB |
1.1 |
2025-04-20 source/ R- | Sshaped_1.1.tar.gz |
14.2 KiB |
Dependencies (latest)
Imports
- Rcpp (>= 1.0.5)