dataSimlin: Small simulated data set with linear response
In markvdwiel/GRridge: Better prediction by use of co-data: Adaptive group-regularized ridge regression
Description
Usage
Details
Value
Examples
Description
The three objects are:
Y: vector with response values (linear)
simdata: matrix with simulated variables
part5: list with 5 components representing partition of variables
Usage
1
Details
This is simulated data allowing a quick test for grridge
Value
Three R objects (see Description)
Examples
1
2
3
4
5
6
7
data(dataSimlin)
#apply grridge
grsim <- grridge(highdimdata=simdata, response=Y, partitions=part5, unpenal = ~1, innfold=10)
#apply CV
grsimcv <- grridgeCV(grsim,simdata,Y,outerfold=5)
markvdwiel/GRridge documentation built on May 21, 2019, 12:25 p.m.
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Description Usage Details Value Examples
Description
The three objects are:
Y: vector with response values (linear)
simdata: matrix with simulated variables
part5: list with 5 components representing partition of variables
Usage
1 |
Details
This is simulated data allowing a quick test for grridge
Value
Three R objects (see Description)
Examples
1 2 3 4 5 6 7 | data(dataSimlin)
#apply grridge
grsim <- grridge(highdimdata=simdata, response=Y, partitions=part5, unpenal = ~1, innfold=10)
#apply CV
grsimcv <- grridgeCV(grsim,simdata,Y,outerfold=5)
|
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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