R/RcppExports.R

In glamlasso: Penalization in Large Scale Generalized Linear Array Models

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

gdpg <- function(Phi1, Phi2, Phi3, Psi, Psirot, Y, Yrot, V, Weights, Weightsrot, Betainit, Beta12init, Beta3init, alphainit, family, penalty, nonten, iwls, nu, lambda, makelamb, nlambda, lambdaminratio, penaltyfactor, penaltyfactor12, penaltyfactor3, penaltyfactoralpha, reltolprox, reltolnewt, reltolalt, maxiter, steps, maxiterprox, maxiternewt, maxalt, btproxmax, btnewtmax, weightedgaussian, S, RR, n1, n2, n3) {
    .Call(`_glamlasso_gdpg`, Phi1, Phi2, Phi3, Psi, Psirot, Y, Yrot, V, Weights, Weightsrot, Betainit, Beta12init, Beta3init, alphainit, family, penalty, nonten, iwls, nu, lambda, makelamb, nlambda, lambdaminratio, penaltyfactor, penaltyfactor12, penaltyfactor3, penaltyfactoralpha, reltolprox, reltolnewt, reltolalt, maxiter, steps, maxiterprox, maxiternewt, maxalt, btproxmax, btnewtmax, weightedgaussian, S, RR, n1, n2, n3)
}

getobj <- function(Y, Weights, Phi1, Phi2, Phi3, beta, lambda, penaltyfactor, family, penalty) {
    .Call(`_glamlasso_getobj`, Y, Weights, Phi1, Phi2, Phi3, beta, lambda, penaltyfactor, family, penalty)
}