Man pages for hdnom
Benchmarking and Visualization Toolkit for Penalized Cox Models
| as_nomogram | Construct nomogram ojects for high-dimensional Cox models |
| calibrate | Calibrate high-dimensional Cox models |
| calibrate_external | Externally calibrate high-dimensional Cox models |
| calibrate_external_surv_prob_true | Compute Kaplan-Meier estimated survival probabilities for... |
| calibrate_surv_prob_true | Compute Kaplan-Meier estimated survival probabilities for... |
| compare_by_calibrate | Compare high-dimensional Cox models by model calibration |
| compare_by_validate | Compare high-dimensional Cox models by model validation |
| fit_aenet | Model selection for high-dimensional Cox models with adaptive... |
| fit_alasso | Model selection for high-dimensional Cox models with adaptive... |
| fit_enet | Model selection for high-dimensional Cox models with... |
| fit_flasso | Model selection for high-dimensional Cox models with fused... |
| fit_lasso | Model selection for high-dimensional Cox models with lasso... |
| fit_mcp | Model selection for high-dimensional Cox models with MCP... |
| fit_mnet | Model selection for high-dimensional Cox models with Mnet... |
| fit_scad | Model selection for high-dimensional Cox models with SCAD... |
| fit_snet | Model selection for high-dimensional Cox models with Snet... |
| glmnet_basesurv | Breslow baseline hazard estimator for glmnet objects |
| glmnet_calibrate_external_surv_prob_pred | Compute glmnet predicted survival probabilities for external... |
| glmnet_calibrate_surv_prob_pred | Compute glmnet predicted survival probabilities for... |
| glmnet_survcurve | Survival curve prediction for glmnet objects |
| glmnet_tune_alpha | Automatic alpha tuning function by k-fold cross-validation |
| glmnet_validate_external_tauc | Compute external validation measures for glmnet objects |
| glmnet_validate_tauc | Compute validation measures for glmnet objects |
| hdnom-package | hdnom: Benchmarking and Visualization Toolkit for Penalized... |
| infer_variable_type | Extract information of selected variables from... |
| kmplot | Kaplan-Meier plot with number at risk table for internal... |
| kmplot_raw | Kaplan-Meier Plot with Number at Risk Table |
| logrank_test | Log-rank test for internal calibration and external... |
| ncvreg_basesurv | Breslow baseline hazard estimator for ncvreg objects |
| ncvreg_calibrate_external_surv_prob_pred | Compute ncvreg predicted survival probabilities for external... |
| ncvreg_calibrate_surv_prob_pred | Compute ncvreg predicted survival probabilities for... |
| ncvreg_survcurve | Survival curve prediction for ncvreg objects |
| ncvreg_tune_gamma | Automatic MCP/SCAD gamma tuning function by k-fold... |
| ncvreg_tune_gamma_alpha | Automatic Mnet/Snet gamma and alpha tuning function by k-fold... |
| ncvreg_validate_external_tauc | Compute external validation measures for ncvreg model objects |
| ncvreg_validate_tauc | Compute validation measures for ncvreg model objects |
| palette_aaas | Color Palette for AAAS Journals |
| palette_jco | Color Palette for Journal of Clinical Oncology (JCO) |
| palette_lancet | Color Palette for Lancet Journals |
| palette_npg | Color Palette for NPG Journals |
| penalized_basesurv | Breslow baseline hazard estimator for penfit objects |
| penalized_calibrate_external_surv_prob_pred | Compute penfit predicted survival probabilities for external... |
| penalized_calibrate_surv_prob_pred | Compute penfit predicted survival probabilities for... |
| penalized_survcurve | Survival curve prediction for penfit objects |
| penalized_tune_lambda | Automatic lambda tuning function for fused lasso by k-fold... |
| penalized_validate_external_tauc | Compute external validation measures for penfit model objects |
| penalized_validate_tauc | Compute validation measures for penfit model objects |
| plot.hdnom.calibrate | Plot calibration results |
| plot.hdnom.calibrate.external | Plot external calibration results |
| plot.hdnom.compare.calibrate | Plot model comparison by calibration results |
| plot.hdnom.compare.validate | Plot model comparison by validation results |
| plot.hdnom.nomogram | Plot nomogram objects |
| plot.hdnom.validate | Plot optimism-corrected time-dependent discrimination curves... |
| plot.hdnom.validate.external | Plot time-dependent discrimination curves for external... |
| predict.hdnom.model | Make predictions from high-dimensional Cox models |
| print.hdnom.calibrate | Print calibration results |
| print.hdnom.calibrate.external | Print external calibration results |
| print.hdnom.compare.calibrate | Print model comparison by calibration results |
| print.hdnom.compare.validate | Print model comparison by validation results |
| print.hdnom.model | Print high-dimensional Cox model objects |
| print.hdnom.nomogram | Print nomograms objects |
| print.hdnom.validate | Print validation results |
| print.hdnom.validate.external | Print external validation results |
| smart | Imputed SMART study data |
| smarto | Original SMART study data |
| summary.hdnom.calibrate | Summary of calibration results |
| summary.hdnom.calibrate.external | Summary of external calibration results |
| summary.hdnom.compare.calibrate | Summary of model comparison by calibration results |
| summary.hdnom.compare.validate | Summary of model comparison by validation results |
| summary.hdnom.validate | Summary of validation results |
| summary.hdnom.validate.external | Summary of external validation results |
| theme_hdnom | Plot theme (ggplot2) for hdnom |
| validate | Validate high-dimensional Cox models with time-dependent AUC |
| validate_external | Externally validate high-dimensional Cox models with... |
