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: 2026-10-06 09:18:57 UTC; root
Repository: https://ychen101.r-universe.dev
Date/Publication: 2022-05-25 21:50:02 UTC
RemoteUrl: https://github.com/cran/scar
RemoteRef: HEAD
RemoteSha: dffb2dd867390cbe9f3935a77d475653578c1ef9