AIC.fcrr                Akaike's An Information Criterion
AIC.fcrrp               Akaike's An Information Criterion
Crisk                   Create a Competing Risk Object
coef.fcrr               Extract coefficients from an "fcrr" object.
coef.fcrrp              Extract coefficients from an "fcrrp" object.
confint.fcrr            Confidence Intervals for Model Parameters
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.
