R/RcppExports.R

In PUlasso: High-Dimensional Variable Selection with Presence-Only Data

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

LU_dense_cpp <- function(X_, z_, icoef_, gsize_, pen_, lambdaseq_, user_lambdaseq_, pathLength_, lambdaMinRatio_, pi_, max_nUpdates_, maxit_, wei_, weiOption_, tol_, inner_tol_, useStrongSet_, verbose_, stepSize_, stepSizeAdj_, batchSize_, updateFreq_, samplingProbabilities_, useLipschitz_, method_, trace_, skipFitting_) {
    .Call('_PUlasso_LU_dense_cpp', PACKAGE = 'PUlasso', X_, z_, icoef_, gsize_, pen_, lambdaseq_, user_lambdaseq_, pathLength_, lambdaMinRatio_, pi_, max_nUpdates_, maxit_, wei_, weiOption_, tol_, inner_tol_, useStrongSet_, verbose_, stepSize_, stepSizeAdj_, batchSize_, updateFreq_, samplingProbabilities_, useLipschitz_, method_, trace_, skipFitting_)
}

LU_sparse_cpp <- function(X_, z_, icoef_, gsize_, pen_, lambdaseq_, user_lambdaseq_, pathLength_, lambdaMinRatio_, pi_, max_nUpdates_, maxit_, wei_, weiOption_, tol_, inner_tol_, useStrongSet_, verbose_, stepSize_, stepSizeAdj_, batchSize_, updateFreq_, samplingProbabilities_, useLipschitz_, method_, trace_, skipFitting_) {
    .Call('_PUlasso_LU_sparse_cpp', PACKAGE = 'PUlasso', X_, z_, icoef_, gsize_, pen_, lambdaseq_, user_lambdaseq_, pathLength_, lambdaMinRatio_, pi_, max_nUpdates_, maxit_, wei_, weiOption_, tol_, inner_tol_, useStrongSet_, verbose_, stepSize_, stepSizeAdj_, batchSize_, updateFreq_, samplingProbabilities_, useLipschitz_, method_, trace_, skipFitting_)
}

deviances_dense_cpp <- function(coefMat_, X_, z_, pi_, wei_, weiOption_) {
    .Call('_PUlasso_deviances_dense_cpp', PACKAGE = 'PUlasso', coefMat_, X_, z_, pi_, wei_, weiOption_)
}

deviances_sparse_cpp <- function(coefMat_, X_, z_, pi_, wei_, weiOption_) {
    .Call('_PUlasso_deviances_sparse_cpp', PACKAGE = 'PUlasso', coefMat_, X_, z_, pi_, wei_, weiOption_)
}