lmmen (version 1.0)

cv.glmmLasso: Cross Validation for glmmLasso package

Description

Cross Validation for glmmLasso package as shown in example xxx

Usage

cv.glmmLasso(dat, form.fixed = NULL, form.rnd = NULL, lambda = seq(500, 0,
  by = -5), family = stats::gaussian(link = "identity"))

Arguments

dat

data.frame, containing y,X,Z and subject variables

form.fixed

formaula, fixed param formula, Default: NULL

form.rnd

list, named list containing random effect formula, Default: NULL

lambda

numeric, vector containing lasso penalty levels, Default: seq(500, 0, by = -5)

family

family, family function that defines the distribution link of the glmm, Default: gaussian(link = "identity")

Value

list of a fitted glmmLasso object and the cv BIC path

References

A. Groll and G. Tutz. Variable selection for generalized linear mixed models by L1-penalized estimation. Statistics and Computing, pages 1<U+2013>18, 2014.

cv function is the generalized form of last example glmmLasso package demo file

See Also

glmmLasso

Examples

# NOT RUN {
cv.glmmLasso(initialize_example(seed=1))
# }