rags2ridges (version 2.2.5)

NLL: Evaluate the (penalized) (fused) likelihood

Description

Functions that evaluate the (penalized) (fused) likelihood.

Usage

NLL(S, P)
PNLL(S, P, T, lambda)
NLL.fused(Slist, Plist, ns)
PNLL.fused(Slist, Plist, ns, Tlist, lambda)

Arguments

S, Slist

A (list of) positive semi definite sample covariance matrices.

P, Plist

A (list of) positive definite precision matrices.

T, Tlist

A (list of) positive definite target matrices.

lambda

A numeric penalty parameter. For the .fused functions, this is a penalty matrix.

ns

A numeric of sample sizes.

Value

A single number.

See Also

ridgeP, ridgeP.fused

Examples

# NOT RUN {
ns <- c(4,5)
Slist <- createS(n = ns, p = 5)
Plist <- list(diag(5), diag(2,5))
Tlist <- list(diag(5), diag(5))

NLL(Slist[[1]], Plist[[1]])
PNLL(Slist[[1]], Plist[[1]], Tlist[[1]], lambda = 1)
NLL.fused(Slist, Plist, ns)
PNLL.fused(Slist, Plist, ns, Tlist, lambda = diag(2))

# }