init.beta: Evaluate fixed effects initial values for lmmen
In yonicd/lmmen: Linear Mixed Model Elastic Net
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Evaluate fixed effects initial values for lmmen via cv.glmnet or lme4.
Usage
1
Arguments
dat
data.frame, data to solve initial values
method
character, method to use, c('glmnet','lme4')
Details
cv.glmnet is set to ridge regression.
Value
numeric
See Also
Examples
1
2
3
dat <- initialize_example(n.i = 5,n = 30,q=4,seed=1)
init.beta(dat,method='glmnet')
init.beta(dat,method='lme4')
yonicd/lmmen documentation built on May 9, 2019, 2:29 p.m.
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Description Usage Arguments Details Value See Also Examples
Description
Evaluate fixed effects initial values for lmmen via cv.glmnet or lme4.
Usage
1 |
Arguments
dat |
data.frame, data to solve initial values |
method |
character, method to use, c('glmnet','lme4') |
Details
cv.glmnet is set to ridge regression.
Value
numeric
See Also
Examples
1 2 3 | dat <- initialize_example(n.i = 5,n = 30,q=4,seed=1)
init.beta(dat,method='glmnet')
init.beta(dat,method='lme4')
|
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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