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Under Unix, making in this directory will make standalone librarieslibRmath.a and libRmath.so. `make static' and `make shared' makejust one of them.Under Windows, use make -f Makefile.win. This makes Rmath.dll withimport library libRmath.a.To use the routines in your own C or C++ programs, include#define MATHLIB_STANDALONE#include <Rmath.h>and link against -lRmath. The example file test.c does nothinguseful, but is provided to test the process. Note that you willprobably not be able to run it unless you add the directory containinglibRmath.so to the LD_LIBRARY_PATH.A little care is needed to use the random-number routines. You willneed to supply the uniform random number generatordouble unif_rand(void)or use the one supplied (and with a shared library or DLL you willhave to use the one supplied, which is the Marsaglia-multicarry withan entry pointset_seed(unsigned int, unsigned int)to set its seeds).The facilties to change the normal random number generator areavailable through the constant N01_kind. This takes valuesfrom the enumeration typetypedef enum {KINDERMAN_RAMAGE,AHRENS_DIETER,BOX_MULLER} N01type;(and USER_NORM is not available).There is full access to R's handling of NaNs, Inf and -Inf via specialversions of the macros and functionsISNAN, R_FINITE, R_log, R_pow and R_pow_diand (extern) constants R_PosInf, R_NegInf and NA_REAL. Thesefacilities work best on IEEE 754 machines, but are available for all.There is no support for R's notion of missing values, in particularnot for NA_INTEGER nor the distinction between NA and NaN for doubles.