smoothic: Variable Selection Using a Smooth Information Criterion

Implementation of the SIC epsilon-telescope method, either using single or multi-parameter regression. This package contains the data analyses from O'Neill and Burke (2021). "Variable Selection Using a Smooth Information Criterion for Multi-Parameter Regression Models". <arXiv:2110.02643>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Published: 2021-10-27
Author: Meadhbh O'Neill [aut, cre], Kevin Burke [aut]
Maintainer: Meadhbh O'Neill <meadhbh.oneill at>
License: GPL-3
NeedsCompilation: no
CRAN checks: smoothic results


Reference manual: smoothic.pdf


Package source: smoothic_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): smoothic_0.1.0.tgz, r-oldrel (arm64): smoothic_0.1.0.tgz, r-release (x86_64): smoothic_0.1.0.tgz, r-oldrel (x86_64): smoothic_0.1.0.tgz


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