Leave-One-Out Cramer-von Mises Divergence

loo_cvm_div(x, lambda, mu, sigma, beta = 0.2, tol = 1e-05, maxiter = 1000)

Arguments

x

`numeric(n)` - A numeric vector of observations

lambda

`numeric` - Vector of mixing proportions of each normal component

mu

`numeric` - Vector of means of each normal component

sigma

`numeric` - Vector of standard deviations of each normal component

beta

`numeric(1)` - parameter corresponds to the beta-divergence induced likelihood

maxiter

Max iteration