Tools for fitting proportional hazards models to clustered recurrent events data. Nested frailties are modeled by their best linear unbiased predictors under an auxiliary Poisson model. Univariate and bivariate recurrent events processes are permitted.
|Author||Emmanuel Sharef <email@example.com> and Robert L. Strawderman <firstname.lastname@example.org>|
|Date of publication||2014-01-12 17:53:32|
|Maintainer||Emmanuel Sharef <email@example.com>|
|License||GPL (>= 2)|
bivrec: Survival analysis for bivariate recurrent event processes...
id: Identify subjects
m10Ji5: Simulated data set with 10 clusters of 5 patients
plot.bivrec: Plot of survivor function for bivrec or unirec objects
summary.bivrec: Summary method for bivrec objects
summary.unirec: Summary method for unirec objects
Surv2: Bivariate survival object
unirec: Survival analysis for univariate recurrent event processes...
vigndata: Simulated data set used in the blupsurv package vignette