mycv.coxnet: Inner function for Est.ALASSO.GLMNET.CV
In michaelyanwang/divideconquer: Divide-and-conquer adaptive lasso using least square approximation
Description
mycv.coxnet is a modified function of cv.coxnet, such that the prediction step can be split and run.
Usage
1
2
mycv.coxnet(outlist, lambda, x, y, weights, offset, foldid, type.measure,
grouped, keep = FALSE)
michaelyanwang/divideconquer documentation built on Aug. 16, 2019, 10:11 a.m.
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Description
mycv.coxnet is a modified function of cv.coxnet, such that the prediction step can be split and run.
Usage
1 2 | mycv.coxnet(outlist, lambda, x, y, weights, offset, foldid, type.measure,
grouped, keep = FALSE)
|
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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