Implementation of the SIC epsilon-telescope method, either using single or distributional (multiparameter) regression. Includes classical regression with normally distributed errors and robust regression, where the errors are from the Laplace distribution. The "smooth generalized normal distribution" is used, where the estimation of an additional shape parameter allows the user to move smoothly between both types of regression. See O'Neill and Burke (2022) "Robust Distributional Regression with Automatic Variable Selection" for more details. <doi:10.48550/arXiv.2212.07317>. This package also contains the data analyses from O'Neill and Burke (2023). "Variable selection using a smooth information criterion for distributional regression models". <doi:10.1007/s11222-023-10204-8>.
| Version: | 1.2.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table, dplyr, ggplot2, MASS, numDeriv, purrr, rlang, stringr, tibble, tidyr, toOrdinal |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-09-16 |
| DOI: | 10.32614/CRAN.package.smoothic |
| Author: | Meadhbh O'Neill [aut, cre], Kevin Burke [aut] |
| Maintainer: | Meadhbh O'Neill <meadhbhon at gmail.com> |
| BugReports: | https://github.com/meadhbh-oneill/smoothic/issues |
| License: | GPL-3 |
| URL: | https://meadhbh-oneill.github.io/smoothic/, https://github.com/meadhbh-oneill/smoothic |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | smoothic results |
| Reference manual: | smoothic.html , smoothic.pdf |
| Vignettes: |
Smooth Generalized Normal Distribution (source, R code) |
| Package source: | smoothic_1.2.1.tar.gz |
| Windows binaries: | r-devel: smoothic_1.2.1.zip, r-release: smoothic_1.2.1.zip, r-oldrel: smoothic_1.2.1.zip |
| macOS binaries: | r-release (arm64): smoothic_1.2.1.tgz, r-oldrel (arm64): smoothic_1.2.1.tgz, r-release (x86_64): smoothic_1.2.1.tgz, r-oldrel (x86_64): smoothic_1.2.1.tgz |
| Old sources: | smoothic archive |
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