Nothing
onlymeanESNuni = function(a=-Inf,b=Inf,mu,Sigma,lambda,tau){
s = sqrt(Sigma)
tautil = tau/sqrt(1+sum(lambda^2))
if(tautil< -35){
#print("normal aproximation")
Gamma = Sigma/(1+lambda^2)
mub = lambda*tau*Gamma/s
return(meanvarNuni(a,b,mu-mub,Gamma))
}
F0 = AcumESN(b,mu,Sigma,lambda,tau) - AcumESN(a,mu,Sigma,lambda,tau)
if(F0 < 1e-250){
val = select(a,b,mu,s)
return(list(mean = val))
}
phi = lambda/sqrt(1+sum(lambda^2))
eta = invmills(tau,0,sqrt(1+lambda^2))
Gamma = Sigma/(1+lambda^2)
mub = lambda*tau*Gamma/s
F0N = pnorm2(a,b,mu-mub,sqrt(Gamma))
da = dmvESN1(a,mu,Sigma,lambda,tau)
db = dmvESN1(b,mu,Sigma,lambda,tau)
F1 = mu*F0 + Sigma*(da - db) + lambda*s*eta*F0N
muY = c(F1/F0)
return(list(mean = muY))
}
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