Description Usage Arguments Value References See Also Examples
Cross Validation for lmmlasso package as shown in example xxx
1 | cv.lmmlasso(dat, lambda = seq(0, 500, 5), ...)
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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 |
lmmlasso fit object
J. Schelldorfer, P. Buhlmann, and S. Van de Geer. Estimation for high-dimensional linear mixed-effects models using L1-penalization. Scandinavian Journal of Statistics, 38(2):197–214, 2011.
1 | ## Not run: cv.lmmlasso(initialize_example(seed = 1))
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Loading required package: lmmlasso
Loading required package: emulator
Loading required package: mvtnorm
Loading required package: miscTools
Loading required package: penalized
Loading required package: survival
Welcome to penalized. For extended examples, see vignette("penalized").
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This is a test release of the package 'lmmlasso'. If you have any questions or problems, do not hesitate to contact the author.
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