Package: scar 0.2-2

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>.

Authors:Yining Chen and Richard Samworth

scar_0.2-2.tar.gz
scar_0.2-2.zip(r-4.7-x86_64)scar_0.2-2.zip(r-4.7-arm64)scar_0.2-2.zip(r-4.6-x86_64)scar_0.2-2.zip(r-4.6-arm64)scar_0.2-2.zip(r-4.5-x86_64)
scar_0.2-2.tgz(r-4.6-x86_64)scar_0.2-2.tgz(r-4.6-arm64)scar_0.2-2.tgz(r-4.5-x86_64)scar_0.2-2.tgz(r-4.5-arm64)
scar_0.2-2.tar.gz(r-4.7-arm64)scar_0.2-2.tar.gz(r-4.7-x86_64)scar_0.2-2.tar.gz(r-4.6-arm64)scar_0.2-2.tar.gz(r-4.6-x86_64)
scar_0.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
scar/json (API)

# Install 'scar' in R:
install.packages('scar', repos = c('https://ychen101.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 2 packages 12 scripts 298 downloads 2 exports 0 dependencies

Last updated from:dffb2dd867. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK76
linux-devel-x86_64OK97
source / vignettesOK129
linux-release-arm64OK70
linux-release-x86_64OK94
macos-release-arm64OK142
macos-release-x86_64OK300
macos-oldrel-arm64OK184
macos-oldrel-x86_64OK416
windows-devel-arm64OK321
windows-devel-x86_64OK112
windows-release-arm64OK320
windows-release-x86_64OK56
windows-oldrel-x86_64OK67
wasm-releaseOK77

Exports:scairscar

Dependencies: