hdCLdata: Simulated High-dimensional Clustered data
In heilokchow/MMsplit: Efficient Algorithm for High-Dimensional Frailty Model
hdCLdata R Documentation
Simulated High-dimensional Clustered data
Description
This data include 50 clusters with 4 objects, a total of 200 events are recorded.
500 covariates can be used for model fitting. The data is generated from a
gamma frailty model with coefficients (5,5,5,5,...,0) and frailty variance 1.
Usage
data(hdCLdata)
Format
An object of class data.frame with 200 rows and 503 columns.
Examples
data(hdCLdata)
heilokchow/MMsplit documentation built on Aug. 19, 2023, 4:44 p.m.
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| hdCLdata | R Documentation |
Simulated High-dimensional Clustered data
Description
This data include 50 clusters with 4 objects, a total of 200 events are recorded. 500 covariates can be used for model fitting. The data is generated from a gamma frailty model with coefficients (5,5,5,5,...,0) and frailty variance 1.
Usage
data(hdCLdata)
Format
An object of class data.frame with 200 rows and 503 columns.
Examples
data(hdCLdata)
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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