Rcpp Version 0.9.10
rchisq.h
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00001 // -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; tab-width: 4 -*-
00002 //
00003 // rchisq.h: Rcpp R/C++ interface class library -- 
00004 //
00005 // Copyright (C) 2010 - 2011 Douglas Bates, Dirk Eddelbuettel and Romain Francois
00006 //
00007 // This file is part of Rcpp.
00008 //
00009 // Rcpp is free software: you can redistribute it and/or modify it
00010 // under the terms of the GNU General Public License as published by
00011 // the Free Software Foundation, either version 2 of the License, or
00012 // (at your option) any later version.
00013 //
00014 // Rcpp is distributed in the hope that it will be useful, but
00015 // WITHOUT ANY WARRANTY; without even the implied warranty of
00016 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00017 // GNU General Public License for more details.
00018 //
00019 // You should have received a copy of the GNU General Public License
00020 // along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
00021 
00022 #ifndef Rcpp__stats__random_rchisq_h
00023 #define Rcpp__stats__random_rchisq_h
00024 
00025 namespace Rcpp {
00026         namespace stats {
00027                 
00028                 class ChisqGenerator : public ::Rcpp::Generator<false,double> {
00029                 public:
00030                         
00031                         ChisqGenerator( double df_ ) : df_2(df_ / 2.0) {}
00032                         
00033                         inline double operator()() const {
00034                                 return ::Rf_rgamma( df_2, 2.0 ) ; 
00035                         }
00036                         
00037                 private:
00038                         double df_2 ;
00039                 } ;
00040         } // stats
00041 
00042         // Please make sure you to read Section 6.3 of "Writing R Extensions"
00043         // about the need to call GetRNGstate() and PutRNGstate() when using 
00044         // the random number generators provided by R.
00045         inline NumericVector rchisq( int n, double df ){
00046                 if (!R_FINITE(df) || df < 0.0) return NumericVector(n, R_NaN) ;
00047                 return NumericVector( n, stats::ChisqGenerator( df ) ) ;
00048         }
00049 
00050 } // Rcpp
00051 
00052 #endif
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