Package: scar
Version: 0.2-2
Date: 2022-05-25
Title: Shape-Constrained Additive Regression: a Maximum Likelihood
        Approach
Author: Yining Chen and Richard Samworth
Maintainer: Yining Chen <y.chen101@lse.ac.uk>
Depends: R (>= 3.0.0)
Suggests: gam, mgcv, scam
Description: Computes the maximum likelihood estimator of the generalised additive and index regression with shape constraints. Each additive component function is assumed to obey one of the nine possible shape restrictions: linear, increasing, decreasing, convex, convex increasing, convex decreasing, concave, concave increasing, or concave decreasing. For details, see Chen and Samworth (2016) <doi:10.1111/rssb.12137>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-05-25 16:13:43 UTC; chen
Repository: CRAN
Date/Publication: 2022-05-25 22:50:02 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-08 02:05:25 UTC; windows
Archs: x64
