Man pages for AndrewLawrence/dCVnet
doubly cross-validated elastic-net regularised generalised linear models
| amalgamate_cv.glmnet | amalgamate_cv.glmnet |
| average_rocdata | average_rocdata |
| blrsim | Simulated binary logistic regression data |
| calibration | calibration |
| casesummary.performance | casesummary.performance |
| coef.dCVnet | coef.dCVnet |
| coefficients_summary | coefficients_summary |
| coef.multialpha.repeated.cv.glmnet | coef.multialpha.repeated.cv.glmnet |
| coef_refunreg | coef_refunreg |
| cv.glmnet.modelsummary | cv.glmnet.modelsummary |
| cv_performance_glm | cv_performance_glm |
| dCVnet | Double cross-validated elastic-net regularised regression |
| dCVnet-package | dCVnet: Doubly Cross-Validated Elastic-Net Regularised... |
| extract_glmnet_alpha | extract_glmnet_alpha |
| extract_rocdata | extract_rocdata |
| family.dCVnet | family.dCVnet |
| InternalPerformanceSummaryFunctions | Internal summary functions for performance objects from... |
| is_multialpha.repeated.cv.glmnet | is_multialpha.repeated.cv.glmnet |
| lambda_rangefinder | lambda_rangefinder |
| lambda_seq_list | lambda_seq_list |
| log_results_to_excel | log_results_to_excel |
| modsel_perf | Used for vignette: dCVnet-limitations |
| multialpha.repeated.cv.glmnet | multialpha.repeated.cv.glmnet |
| parse_alphalist | parse_alphalist |
| parse_dCVnet_input | parse_dCVnet_input |
| parseddata_summary | parseddata_summary |
| performance | performance |
| performance_with_permuted_labels | performance_with_permuted_labels |
| plot.dCVnet | plot.dCVnet |
| plot.multialpha.repeated.cv.glmnet | plot.multialpha.repeated.cv.glmnet |
| plot_outerloop_coefs | plot_outerloop_coefs |
| plot.rocdata | plot.rocdata |
| predict_cat.glm | predict_cat.glm |
| predict.dCVnet | predict.dCVnet |
| prediction_error_plot | prediction_error_plot |
| predict.multialpha.repeated.cv.glmnet | predict.multialpha.repeated.cv.glmnet |
| prostate | Prostate cancer data from Stamey et al. (1989) |
| refunreg | refunreg |
| repeated.cv.glmnet | repeated.cv.glmnet |
| report_performance_summary | report_performance_summary |
| report_reference_performance_summary | report_reference_performance_summary |
| selected_hyperparameters | selected_hyperparameters |
| set_glmnet_alpha | set_glmnet_alpha |
| summary.dCVnet | summary.dCVnet |
| summary.multialpha.repeated.cv.glmnet | summary.multialpha.repeated.cv.glmnet |
| summary.performance | summary.performance |
| tidy_coef.glmnet | tidy_coef.glmnet |
| tidy_confusionmatrix | tidy_confusionmatrix |
| tidy_predict.glmnet | tidy_predict.glmnet |
| tidy_predict.multialpha.repeated.cv.glmnet | tidy_predict.multialpha.repeated.cv.glmnet |
| tuning_plot_dCVnet | tuning_plot_dCVnet |
| variable_importance | variable_importance |
