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 ul.ie> |
| License: | GPL-3 |
| URL: | https://github.com/meadhbh-oneill/smoothic |
| NeedsCompilation: | no |
| CRAN checks: | smoothic results |
| Reference manual: | smoothic.pdf |
| Package source: | smoothic_0.1.0.tar.gz |
| Windows binaries: | r-devel: smoothic_0.1.0.zip, r-release: smoothic_0.1.0.zip, r-oldrel: smoothic_0.1.0.zip |
| 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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