Man pages for hdcuremodels
High-Dimensional Cure Models
| amltest | AML test data |
| amltrain | AML training data |
| auc_mcm | AUC for cure prediction using mean score imputation |
| coef.mixturecure | Extract model coefficients from a fitted mixturecure object |
| concordance_mcm | C-statistic for mixture cure models |
| cureem | Fit penalized mixture cure model using the E-M algorithm |
| cure_estimate | Estimate cured fraction |
| curegmifs | Fit penalized parametric mixture cure model using the GMIFS... |
| cv_cureem | Fit penalized mixture cure model using the E-M algorithm with... |
| cv_curegmifs | Fit a penalized parametric mixture cure model using the... |
| dim.mixturecure | Dimension method for mixturecure objects |
| family.mixturecure | Return model family and fitting algorithm for mixturecure... |
| formula.mixturecure | Extract model formula for mixturecure object |
| generate_cure_data | Simulate data under a mixture cure model |
| logLik.mixturecure | Log-likelihood for fitted mixture cure model |
| nobs.mixturecure | Number of observations in mixturecure object |
| nonzerocure_test | Non-parametric test for a non-zero cured fraction |
| npar_mixturecure | Number of parameters in fitted mixture cure model |
| plot.mixturecure | Plot fitted mixture cure model |
| predict.mixturecure | Predicted probabilities for susceptibles, linear predictor... |
| print.mixturecure | Print the contents of a mixture cure fitted object |
| sufficient_fu_test | Test for sufficient follow-up |
| summary.mixturecure | Summarize a fitted mixture cure object |
