// negative_binomial_example2.cpp // Copyright Paul A. Bristow 2006. // Use, modification and distribution are subject to the // Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt // or copy at http://www.boost.org/LICENSE_1_0.txt) #define BOOST_MATH_THROW_ON_DOMAIN_ERROR #ifdef _MSC_VER # pragma warning(disable: 4127) // conditional expression is constant. # pragma warning(disable: 4512) // assignment operator could not be generated. # pragma warning(disable: 4996) // 'std::char_traits::copy' was declared deprecated. #endif // Example 2 of using constructing distributions, mainly negative_binomial. #include // for negative_binomial_distribution using boost::math::negative_binomial_distribution; // default type is double. using boost::math::negative_binomial; // typedef provides default type is double. #include // for negative_binomial_distribution #include using std::cout; using std::endl; int main() { cout << "Example 2 constructing Distributions (Negative_binomial)."; #if defined(__FILE__) && defined(__TIMESTAMP__) cout << " " << __FILE__ << ' ' << __TIMESTAMP__ << ' '<< _MSC_FULL_VER << "\n"; #endif cout << endl; // Several examples of constructing distributions, for example, negative binomial: // Fundamentally constructed like this: boost::math::negative_binomial_distribution mydist0(8., 0.25); // But this is inconveniently long. using boost::math::negative_binomial_distribution; // Allows convenient reference to negative_binomial_distribution. // You can provide the type explicitly thus: negative_binomial_distribution mydist1(8., 0.25); // Explicit double. negative_binomial_distribution mydist2(8., 0.25); // Explicit float, double arguments -> float. negative_binomial_distribution mydist3(8, 0.25); // Explicit float, integer & double arguments -> float. negative_binomial_distribution mydist4(8.F, 0.25F); // Explicit float, float arguments, no conversion. negative_binomial_distribution mydist5(8, 1); // Explicit integer, integer arguments -> float. negative_binomial_distribution mydist6(8., 0.25); // Explicit double. negative_binomial_distribution mydist7(8., 0.25); // Explicit long double. // And if you have your own RealType called MyFPType, // for example NTL quad_float (128-bit floating-point), then: // negative_binomial_distribution mydist6(8, 1); // Integer arguments -> MyFPType. // Note that default constructor arguments are only provided for some distributions. // negative_binomial_distribution<> mydist; // error C2512 no appropriate default constructor available. // Since there are no accessor functions, no default constructor are provided, // because it is difficult to chose any sensible default values for this distribution. // For other distribution, like the normal distribution, // it is obviously very useful to provide // defaults for the mean and standard deviation thus: // normal_distribution(RealType mean = 0, RealType sd = 1) negative_binomial_distribution<> mydist9(8., 0.25); // Uses default RealType = double. // But the name "negative_binomial_distribution" is still inconveniently long, // so for most distributions, a typedef is provided, for example: // typedef negative_binomial_distribution negative_binomial; // Reserved name of type double. // Some examples using the provided typedef: using boost::math::negative_binomial; // Convenient access to the name. // Allows convenient reference to negative_binomial of default type double. negative_binomial mydist10(5., 0.4); // Both arguments double. // And automatic conversion takes place, so you can use integers and floats: negative_binomial mydist11(5, 0.4); // Using provided typedef double, int and double arguments. // This is probably the most common usage. negative_binomial mydist12(5., 0.4F); // Double and float arguments. negative_binomial mydist13(5, 1); // Both arguments integer. // But for cases when the typdef distribution name // would clash with a math special function // (for example binomial, beta and gamma) // the typedef is deliberately not provided, and // the longer version(s) must be used. // For example: using namespace boost::math; // NOT binomial myb010(1, 0.5); but binomial_distribution<> myb1(1, 0.5); return 0; } // int main() /* Output is: */