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-4.5)glmpathcr_1.0.8.zip(r-4.4)glmpathcr_1.0.8.zip(r-4.3)
glmpathcr_1.0.8.tgz(r-4.4-any)glmpathcr_1.0.8.tgz(r-4.3-any)
glmpathcr_1.0.8.tar.gz(r-4.5-noble)glmpathcr_1.0.8.tar.gz(r-4.4-noble)
glmpathcr_1.0.8.tgz(r-4.4-emscripten)glmpathcr_1.0.8.tgz(r-4.3-emscripten)
glmpathcr.pdf |glmpathcr.html✨
glmpathcr/json (API)
NEWS
# 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
- diabetes - Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males
Last updated 3 years agofrom:4ec70d82eb. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | NOTE | Nov 22 2024 |
R-4.5-linux | NOTE | Nov 22 2024 |
R-4.4-win | NOTE | Nov 22 2024 |
R-4.4-mac | NOTE | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
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 |