Man pages for fastcmprsk
Fine-Gray Regression via Forward-Backward Scan
| AIC.fcrr | Akaike's An Information Criterion |
| AIC.fcrrp | Akaike's An Information Criterion |
| coef.fcrr | Extract coefficients from an "fcrr" object. |
| coef.fcrrp | Extract coefficients from an "fcrrp" object. |
| confint.fcrr | Confidence Intervals for Model Parameters |
| Crisk | Create a Competing Risk Object |
| fastCrr | Fast Fine-Gray Model Estimation |
| fastCrrp | Penalized Fine-Gray Model Estimation via two-way linear scan |
| logLik.fcrr | Extract log-pseudo likelihood from an "fcrr" object. |
| logLik.fcrrp | Extract log-pseudo likelihood from an "fcrrp" object. |
| plot.fcrrp | Plots solution path for penalized methods |
| plot.predict.fcrr | Plots predicted cumulative incidence function |
| predict.fcrr | Cumulative Incidence Function Estimation |
| print.summary.fcrr | Prints summary of a fcrr x |
| simulateTwoCauseFineGrayModel | Simulate data from the Fine-Gray Model |
| summary.fcrr | Summary method for fastCrr |
| varianceControl | Controls for Variance Calculation |
| vcov.fcrr | Extract variance-covariance matrix from an "fcrr" object. |
