Fine-Gray Regression via Forward-Backward Scan

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Documentation for package ‘fastcmprsk’ version 1.24.10

• DESCRIPTION file.
• Package NEWS.

Help Pages

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.