# # lm() via Armadillo -- improving on the previous GSL solution # # Copyright (C) 2010 Dirk Eddelbuettel and Romain Francois # # This file is part of Rcpp. # # Rcpp is free software: you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 2 of the License, or # (at your option) any later version. # # Rcpp is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Rcpp. If not, see . suppressMessages(require(Rcpp)) suppressMessages(require(inline)) lmArmadillo <- function() { src <- ' Rcpp::NumericVector yr(Ysexp); Rcpp::NumericVector Xr(Xsexp); std::vector dims = Xr.attr("dim") ; int n = dims[0], k = dims[1]; arma::mat X(Xr.begin(), n, k, false); // use advanced armadillo constructors arma::colvec y(yr.begin(), yr.size()); arma::colvec coef = solve(X, y); // fit model y ~ X arma::colvec resid = y - X*coef; // to compute std. error of the coefficients double sig2 = arma::as_scalar(trans(resid)*resid)/(n-k); // requires Armadillo 0.8.2 or later arma::mat covmat = sig2 * arma::inv(arma::trans(X)*X); Rcpp::NumericVector coefr(k), stderrestr(k); for (int i=0; i