cv.lmmlasso: Cross Validation for lmmlasso package
In yonicd/lmmen: Linear Mixed Model Elastic Net
Description
Usage
Arguments
Value
See Also
Examples
Description
Cross Validation for lmmlasso package as shown in example xxx
Usage
1
cv.lmmlasso(dat, lambda = seq(0, 500, 5), ...)
Arguments
dat
matrix, containing y,X,Z and subject variables
lambda
numeric, path of positive regularization parameter, Default: seq(0, 500, 5)
...
parameters to pass to lmmlasso
Value
lmmlasso fit object
See Also
Examples
1
## Not run: cv.lmmlasso(initialize_example(seed = 1))
yonicd/lmmen documentation built on May 9, 2019, 2:29 p.m.
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Description Usage Arguments Value See Also Examples
Description
Cross Validation for lmmlasso package as shown in example xxx
Usage
1 | cv.lmmlasso(dat, lambda = seq(0, 500, 5), ...)
|
Arguments
dat |
matrix, containing y,X,Z and subject variables |
lambda |
numeric, path of positive regularization parameter, Default: seq(0, 500, 5) |
... |
parameters to pass to lmmlasso |
Value
lmmlasso fit object
See Also
Examples
1 | ## Not run: cv.lmmlasso(initialize_example(seed = 1))
|
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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