scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach

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>.

Version: 0.2-2
Depends: R (≥ 3.0.0)
Suggests: gam, mgcv, scam
Published: 2022-05-25
Author: Yining Chen and Richard Samworth
Maintainer: Yining Chen <y.chen101 at lse.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: scar results

Documentation:

Reference manual: scar.pdf

Downloads:

Package source: scar_0.2-2.tar.gz
Windows binaries: r-devel: scar_0.2-2.zip, r-release: scar_0.2-2.zip, r-oldrel: scar_0.2-2.zip
macOS binaries: r-release (arm64): scar_0.2-2.tgz, r-oldrel (arm64): scar_0.2-2.tgz, r-release (x86_64): scar_0.2-2.tgz, r-oldrel (x86_64): scar_0.2-2.tgz
Old sources: scar archive

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