Identifying rows in a matrix or data.frame
SimCompRisk: Simulate competing risks data
In prodlim: Product-Limit Estimation for Censored Event History Analysis
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Simulate right censored competing risks data with two covariates X1 and X2. Both covariates have effect exp(1) on the hazards of event 1 and zero effect on the hazard of event 2.
Usage
1
SimCompRisk(N, ...)
Arguments
N
sample size
...
do nothing.
Details
This function calls crModel, then adds covariates and finally calls sim.lvm.
Value
data.frame with simulated data
Author(s)
Thomas Alexander Gerds
Examples
1
2
SimCompRisk(10)
prodlim documentation built on May 29, 2017, 5:59 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Simulate right censored competing risks data with two covariates X1 and X2. Both covariates have effect exp(1) on the hazards of event 1 and zero effect on the hazard of event 2.
Usage
1 | SimCompRisk(N, ...)
|
Arguments
N |
sample size |
... |
do nothing. |
Details
This function calls crModel, then adds covariates and finally calls sim.lvm.
Value
data.frame with simulated data
Author(s)
Thomas Alexander Gerds
Examples
1 2 | SimCompRisk(10)
|
prodlim documentation built on May 29, 2017, 5:59 p.m.
Search within the prodlim package
Search all R packages, documentation and source code
R Package Documentation
Browse R Packages
We want your feedback!
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