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#
# 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 <http://www.gnu.org/licenses/>.
suppressMessages(require(Rcpp))
suppressMessages(require(inline))
lmArmadillo <- function() {
src <- '
Rcpp::NumericVector yr(Ysexp);
Rcpp::NumericVector Xr(Xsexp);
std::vector<int> 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<k; i++) { // this is easier in RcppArmadillo with proper wrappers
coefr[i] = coef[i];
stderrestr[i] = sqrt(covmat(i,i));
}
return Rcpp::List::create( Rcpp::Named( "coefficients", coefr),
Rcpp::Named( "stderr", stderrestr));
'
## turn into a function that R can call
fun <- cfunction(signature(Ysexp="numeric", Xsexp="numeric"),
src,
includes="#include <armadillo>",
Rcpp=TRUE,
cppargs="-I/usr/include",
libargs="-larmadillo -llapack")
}
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