#
# lm() via GNU GSL -- building on something from the Intro to HPC tutorials
#
# 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))
lmGSL <- function() {
src <- '
Rcpp::NumericVector Yr(Ysexp);
Rcpp::NumericMatrix Xr(Xsexp);
int i,j,n = Xr.nrow(), k = Xr.ncol();
double chisq;
gsl_matrix *X = gsl_matrix_alloc (n, k);
gsl_vector *y = gsl_vector_alloc (n);
gsl_vector *c = gsl_vector_alloc (k);
gsl_matrix *cov = gsl_matrix_alloc (k, k);
for (i = 0; i < n; i++) {
for (j = 0; j < k; j++)
gsl_matrix_set (X, i, j, Xr(i,j));
gsl_vector_set (y, i, Yr(i));
}
gsl_multifit_linear_workspace *work = gsl_multifit_linear_alloc (n, k);
gsl_multifit_linear (X, y, c, cov, &chisq, work);
gsl_multifit_linear_free (work);
Rcpp::NumericVector coefr(k), stderrestr(k);
for (i = 0; i < k; i++) {
coefr(i) = gsl_vector_get(c,i);
stderrestr(i) = sqrt(gsl_matrix_get(cov,i,i));
}
gsl_matrix_free (X);
gsl_vector_free (y);
gsl_vector_free (c);
gsl_matrix_free (cov);
return Rcpp::List::create( Rcpp::Named( "coef", coefr),
Rcpp::Named( "stderr", stderrestr));
'
## turn into a function that R can call
## compileargs redundant on Debian/Ubuntu as gsl headers are found anyway
fun <- cfunction(signature(Ysexp="numeric", Xsexp="numeric"),
src,
includes="#include ",
Rcpp=TRUE,
cppargs="-I/usr/include",
libargs="-lgsl -lgslcblas")
}