| glmpathcr-package {glmpathcr} | R Documentation |
Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response: Penalized L1 continuation Ratio Models for Ordinal Response Prediction in High-dimensional Data Settings
Description
This package provides a function glmpathcr for fitting a penalized L1 continuation ratio model for predicting an ordinal response and associated methods for plotting, getting predicted values, estimating coefficients for selected models.
Details
The DESCRIPTION file:
| Package: | glmpathcr |
| Type: | Package |
| Title: | Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response |
| Version: | 1.0.10 |
| Date: | 2024-01-24 |
| 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("Andre", "Williams", role = "aut")) |
| Maintainer: | Kellie J. Archer <archer.43@osu.edu> |
| Description: | Provides a function for fitting a penalized constrained continuation ratio model using the glmpath algorithm and methods for extracting coefficient estimates, predicted class, class probabilities, and plots as described by Archer and Williams (2012) <doi:10.1002/sim.4484>. |
| License: | GPL-2 |
| Depends: | R (>= 4.2.0), glmpath |
| Suggests: | tools |
| BuildResaveData: | best |
| LazyLoad: | yes |
| NeedsCompilation: | no |
| Author: | Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>), Andre Williams [aut] |
Index of help topics:
coef.glmpathcr Extract All Model Coefficients
diabetes Gene Expression in Normal, Impaired Fasting
Glucose, and Type II Diabetic Males
glmpathcr Fit Penalized Continuation Ratio Model
glmpathcr-package Fit a Penalized Continuation Ratio Model for
Predicting an Ordinal Response: Penalized L1
continuation Ratio Models for Ordinal Response
Prediction in High-dimensional Data Settings
model.select Step of Optimal Fitted AIC or BIC CR Model.
nonzero.coef Extract Non-Zero Model Coefficients
plot.glmpathcr Plots the Regularization Path Computed from
glmpathcr
predict.glmpathcr Predicted Class and Fitted Probabilities from
glmpathcr Object
summary.glmpathcr Summarize a glmpathcr Object
This package contains functions for fitting a penalized continuation ratio model and extracting estimated coefficients, predicted class, and fitted probabilities. The model and methods can be used when the response to be predicted is ordinal, and is particularly relevant when there are more covariates than observations.
Author(s)
Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>), Andre Williams [aut] Kellie J. Archer <archer.43@osu.edu>
Maintainer: Kellie J. Archer <archer.43@osu.edu> Kellie J. Archer <archer.43@osu.edu>
References
Archer K.J., Williams A.A.A. (2012) L1 penalized continuation ratio models for ordinal response prediction using high-dimensional datasets. Statistics in Medicine, 31(14), 1464-74.
See Also
See also glmpath
Examples
data(diabetes)
x <- diabetes[, 2:dim(diabetes)[2]]
y <- diabetes$y
fit <- glmpathcr(x, y)