Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, springer.com -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: meadhbh-oneill
- Language: R
- Default Branch: master
- Homepage: https://meadhbh-oneill.github.io/smoothic/
- Size: 4.54 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 4
Metadata Files
README.md
smoothic 
For more information, check out the smoothic
website.
Implementation of the SIC epsilon-telescope method, either using single or multi-parameter 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 on arXiv. This package also contains the data analyses from O'Neill and Burke (2023). "Variable selection using a smooth information criterion for distributional regression models" in Statistics & Computing.
Installation
CRAN
You can install the released version of smoothic from CRAN with:
r
install.packages("smoothic")
Github
Install the development version from GitHub:
``` r
install.packages("devtools")
devtools::install_github("meadhbh-oneill/smoothic") ```
smoothic()
The smoothic() function performs automatic variable selection with distributional regression.
r
library(smoothic)
fit <- smoothic(
formula = y ~ .,
data = dataset
)
A summary table that includes the estimated coefficients, estimated standard errors (SEE) and the value of the penalized likelihood function is returned with:
r
summary(fit)
Further information and examples of implementation (including plotting of the coefficient paths - vignette("sgnd-boston")) are available in the function documentation and vignettes.
Owner
- Login: meadhbh-oneill
- Kind: user
- Repositories: 2
- Profile: https://github.com/meadhbh-oneill
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| meadhbh-oneill | m****n@g****m | 134 |
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 347 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: smoothic
Variable Selection Using a Smooth Information Criterion
- Homepage: https://github.com/meadhbh-oneill/smoothic
- Documentation: http://cran.r-project.org/web/packages/smoothic/smoothic.pdf
- License: GPL-3
-
Latest release: 1.2.0
published almost 3 years ago
Rankings
Maintainers (1)
Dependencies
- MASS * depends
- numDeriv * depends
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite