simdataCL: Simulated Clustered data
In frailtyMMpen: Efficient Algorithm for High-Dimensional Frailty Model
simdataCL R Documentation
Simulated Clustered data
Description
This data include 50 clusters with 10 objects, a total of 100 events are recorded.
30 temporal covariates can be used for model fitting. The data is generated from a
gamma frailty model with coefficients (1,2,3,4,0,...,0) and frailty variance 1.
Usage
data(simdataCL)
Format
An object of class data.frame with 500 rows and 33 columns.
Examples
data(simdataCL)
frailtyMMpen documentation built on Aug. 8, 2023, 5:15 p.m.
R Package Documentation
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| simdataCL | R Documentation |
Simulated Clustered data
Description
This data include 50 clusters with 10 objects, a total of 100 events are recorded. 30 temporal covariates can be used for model fitting. The data is generated from a gamma frailty model with coefficients (1,2,3,4,0,...,0) and frailty variance 1.
Usage
data(simdataCL)
Format
An object of class data.frame with 500 rows and 33 columns.
Examples
data(simdataCL)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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