Description Usage Arguments Details Value Author(s) References Examples
Density function and random number generator for the elastic net prior distribution.
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x |
vector of quantiles |
n |
number of samples |
lambda1 |
lambda1 parameter value |
lambda2 |
lambda2 parameter value |
log |
should the logarithm of the density be returned |
The elastic net prior density has density:
f(x)=g(λ_1,λ_2) e^[-0.5*(λ_1 |x| + λ_2 x^2)]
denet
gives the density of the input x
. renet
gives a vector of length n
of random values.
Magnus M. Münch <m.munch@vumc.nl>
Münch, M.M., Peeters, C.F.W., van der Vaart, A.W., and van de Wiel, M.A. (2018). Adaptive group-regularized logistic elastic net regression. arXiv:1805.00389v1 [stat.ME].
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