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 4.6.0; x86_64-apple-darwin20; 2026-04-26 14:16:54 UTC; unix
Archs: scar.so.dSYM
