R/RcppExports.R

In netcoh: Statistical Modeling with Network Cohesion

# This file was generated by Rcpp::compileAttributes
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

rnc_solver_X <- function(X, L, Y, lambda, W) {
    .Call('netcoh_rnc_solver_X', PACKAGE = 'netcoh', X, L, Y, lambda, W)
}

rnc_solver_noX <- function(L, Y, lambda, W) {
    .Call('netcoh_rnc_solver_noX', PACKAGE = 'netcoh', L, Y, lambda, W)
}

rnc_solver_naive <- function(X, L, Y, lambda, W) {
    .Call('netcoh_rnc_solver_naive', PACKAGE = 'netcoh', X, L, Y, lambda, W)
}

rnc_logistic_fit <- function(X, L, Y, lambda, theta_init, tol, max_iter, verbose) {
    .Call('netcoh_rnc_logistic_fit', PACKAGE = 'netcoh', X, L, Y, lambda, theta_init, tol, max_iter, verbose)
}

rnc_logistic_fit_noX <- function(L, Y, lambda, theta_init, tol, max_iter, verbose) {
    .Call('netcoh_rnc_logistic_fit_noX', PACKAGE = 'netcoh', L, Y, lambda, theta_init, tol, max_iter, verbose)
}

rnc_cox_fit <- function(X, L, Y, delta, lambda, theta_init, tol, max_iter, verbose) {
    .Call('netcoh_rnc_cox_fit', PACKAGE = 'netcoh', X, L, Y, delta, lambda, theta_init, tol, max_iter, verbose)
}

rnc_cox_fit_noX <- function(L, Y, delta, lambda, theta_init, tol, max_iter, verbose) {
    .Call('netcoh_rnc_cox_fit_noX', PACKAGE = 'netcoh', L, Y, delta, lambda, theta_init, tol, max_iter, verbose)
}

cox_pll <- function(eta, Y, delta) {
    .Call('netcoh_cox_pll', PACKAGE = 'netcoh', eta, Y, delta)
}