Introduction | Penalized Models | Implementation | Example
Package: glmpathcr 1.0.8
glmpathcr: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response
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.
Authors:
glmpathcr_1.0.8.tar.gz
glmpathcr_1.0.8.zip(r-4.7)glmpathcr_1.0.8.zip(r-4.6)glmpathcr_1.0.8.zip(r-4.5)
glmpathcr_1.0.8.tgz(r-4.6-any)glmpathcr_1.0.8.tgz(r-4.5-any)
glmpathcr_1.0.8.tar.gz(r-4.7-any)glmpathcr_1.0.8.tar.gz(r-4.6-any)
glmpathcr_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glmpathcr/json (API)
| # Install 'glmpathcr' in R: |
| install.packages('glmpathcr', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kelliejarcher/glmpathcr/issues
Datasets:
- diabetes - Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males
Last updated from:4ec70d82eb. Checks:2 ERROR, 2 OK, 5 NOTE. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 149 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | ERROR | 153 | ||
| macos-release-arm64 | NOTE | 116 | ||
| macos-oldrel-arm64 | NOTE | 111 | ||
| windows-devel | NOTE | 122 | ||
| windows-release | NOTE | 120 | ||
| windows-oldrel | NOTE | 116 | ||
| wasm-release | OK | 95 |
Exports:coef.glmpathcrcr.backwardcr.forwardfitted.glmpathcrglmpathcrmodel.selectnonzero.coefplot.glmpathcrpredict.glmpathcrprint.glmpathcrsummary.glmpathcr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 | glmpathcr-package |
| Extract All Model Coefficients | coef.glmpathcr |
| Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males | diabetes |
| Fit Penalized Continuation Ratio Model | glmpathcr |
| Step of Optimal Fitted AIC or BIC CR Model. | model.select |
| Extract Non-Zero Model Coefficients | nonzero.coef |
| Plots the Regularization Path Computed from glmpathcr | plot.glmpathcr |
| Predicted Class and Fitted Probabilities from glmpathcr Object | fitted.glmpathcr predict.glmpathcr |
| Summarize a glmpathcr Object | summary.glmpathcr |
