| ordinalgmifs-package {ordinalgmifs} | R Documentation |
Ordinal Response Regression for High-Dimensional Data
Description
This package provides a function, ordinalgmifs, for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Details
| Package: | ordinalgmifs |
| Version: | 1.0.8 |
| Date: | 2023-05-01 |
| Title: | Ordinal Regression for High-Dimensional Data |
| Authors@R: | c(person(c("Kellie", "J."), "Archer", email = "archer.43@osu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1555-5781")), person("Jiayi", "Hou", role = "aut"), person("Qing", "Zhou", role = "aut"), person("Kyle","Ferber", role = "aut"), person(c("John", "G."), "Layne", role = c("com","ctr")), person("Amanda", "Gentry", role = "rev") ) |
| Depends: | R (>= 4.2.0), survival |
| Description: | Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method. |
| License: | GPL (>= 2) |
| Imports: | methods |
| BuildResaveData: | best |
| SystemRequirements: | C++11 |
| NeedsCompilation: | yes |
| BuildVignettes: | TRUE |
| LazyData: | true |
| Author: | Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>), Jiayi Hou [aut], Qing Zhou [aut], Kyle Ferber [aut], John G. Layne [com, ctr], Amanda Gentry [rev] |
| Maintainer: | Kellie J. Archer <archer.43@osu.edu> |
Index of help topics:
coef.ordinalgmifs Extract Model Coefficients
eyedisease Eye Disease Risk Factors
hccframe Liver Cancer Methylation Data
ordinalgmifs Ordinal Generalized Monotone Incremental
Forward Stagewise Regression
ordinalgmifs-package Ordinal Response Regression for
High-Dimensional Data
plot.ordinalgmifs Plot Solution Path for Ordinal GMIFS Fitted
Model.
predict.ordinalgmifs Predicted Probabilities and Class for Ordinal
GMIFS Fit.
print.ordinalgmifs Print the Contents of an Ordinal GMIFS Fitted
Object.
summary.ordinalgmifs Summarize an Ordinal GMIFS Object.
This package contains generic methods (coef, plot, predict, print, summary) that can be invoked for an object fitted using ordinalgmifs.
Author(s)
NA Kellie J. Archer, Jiayi Hou, Qing Zhou, Kyle Ferber, John G. Layne, Amanda Gentry
Maintainer: NA Kellie J. Archer <archer.43@osu.edu>
References
Hastie T., Taylor J., Tibshirani R., and Walther G. (2007) Forward stagewise regression and the monotone lasso. Electronic Journal of Statistics, 1, 1-29.
See Also
See Also ordinalgmifs. For models where no predictor is penalized see vglm