Package: smoothic 1.2.0
smoothic: Variable Selection Using a Smooth Information Criterion
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. <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>.
Authors:
smoothic_1.2.0.tar.gz
smoothic_1.2.0.zip(r-4.5)smoothic_1.2.0.zip(r-4.4)smoothic_1.2.0.zip(r-4.3)
smoothic_1.2.0.tgz(r-4.4-any)smoothic_1.2.0.tgz(r-4.3-any)
smoothic_1.2.0.tar.gz(r-4.5-noble)smoothic_1.2.0.tar.gz(r-4.4-noble)
smoothic_1.2.0.tgz(r-4.4-emscripten)smoothic_1.2.0.tgz(r-4.3-emscripten)
smoothic.pdf |smoothic.html✨
smoothic/json (API)
NEWS
# Install 'smoothic' in R: |
install.packages('smoothic', repos = c('https://meadhbh-oneill.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/meadhbh-oneill/smoothic/issues
- bostonhouseprice - Boston House Price Data
- bostonhouseprice2 - Boston House Price Data
- citycrime - City Crime Data
- diabetes - Diabetes Data
- pcancer - Prostate Cancer Data
- sniffer - Sniffer Data
Last updated 1 years agofrom:1b831dc2ca. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | NOTE | Nov 18 2024 |
R-4.5-linux | NOTE | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:plot_effectsplot_pathssmoothic
Dependencies:briocallrclicolorspacecpp11crayondata.tabledescdiffobjdigestdplyrevaluatefansifarverfsgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RColorBrewerrlangrprojrootscalesstringistringrtestthattibbletidyrtidyselecttoOrdinalutf8vctrsviridisLitewaldowithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Boston House Price Data (Original) | bostonhouseprice |
Boston House Price Data (Corrected Version) | bostonhouseprice2 |
City Crime Data | citycrime |
Diabetes Data | diabetes |
Prostate Cancer Data | pcancer |
Plot conditional density curves | plot_effects |
Plot the epsilon-telescope coefficient paths | plot_paths |
Predict smoothic | predict.smoothic |
Variable Selection Using a Smooth Information Criterion (SIC) | smoothic |
Sniffer Data | sniffer |
Summarising Smooth Information Criterion (SIC) Fits | print.summary.smoothic summary.smoothic |