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. |