cv.multivar {multivar} | R Documentation |
Cross Validation for multivar
Description
Cross Validation for multivar
Usage
cv.multivar(object)
Arguments
object |
multivar object built using |
Details
The main function of the multivar package. Performs cross validation to select penalty parameters over a training sample and evaluates them over a test set.
Value
An object of class multivar.results
.
Examples
# example 1 (run)
sim1 <- multivar_sim(
k = 2, # individuals
d = 5, # number of variables
n = 20, # number of timepoints
prop_fill_com = 0.1, # proportion of paths common
prop_fill_ind = 0.05, # proportion of paths unique
lb = 0.1, # lower bound on coefficient magnitude
ub = 0.5, # upper bound on coefficient magnitude
sigma = diag(5) # noise
)
model1 <- constructModel(data = sim1$data)
fit1 <- multivar::cv.multivar(model1)
[Package multivar version 1.1.0 Index]