An R Package for Longitudinal and Clustered Ordinal Response Modeling3 months ago
Introduction | Ordinal response model | Longitudinal/clustered ordinal response models | Implementation | Examples
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Estimating Cure Models in High Dimensions: A Guide with hdcuremodels11 months ago
Introduction | Package description | Data examples | Assessing model assumptions for fitting a mixture cure model | Penalized mixture cure models | Fitting penalized mixture cure models using GMIFS | Fitting penalized mixture cure models using E-M algorithm | Cross-validation | Other Package Functions | Comparison to other mixture cure modeling packages | Conclusions | References
Estimating Cure Models in High Dimensions: A Guide with hdcuremodels1 years ago
Introduction | Package description | Data examples | Assessing model assumptions for fitting a mixture cure model | Penalized mixture cure models | Fitting penalized mixture cure models using GMIFS | Fitting penalized mixture cure models using E-M algorithm | Cross-validation | Other Package Functions | Comparison to other mixture cure modeling packages | Conclusions | References
An R Package for Ordinal Response Modeling for High-Dimensional Data5 years ago
Introduction | Implementation | Examples
An R Package for Ordinal Response Prediction in High-dimensional Data Settings5 years ago
Introduction | Penalized Models | Implementation | Example
An R Package for Discrete Response Modeling for High-Dimensional Data5 years ago
Introduction | Implementation | Example
ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data5 years ago
Introduction | LASSO Ordinal Model | Regression-Based Variable Inclusion Indicator Ordinal Model | Normal Spike-and-Slab Ordinal Model | Double Exponential Spike-and-Slab Ordinal Model | Other Package Functions | References
glmnetcr: An R Package for Ordinal Response Prediction in High-Dimensional Data Settings5 years ago
Introduction | Penalized models | Implementation | Example | Summary | Acknowledgments