// inverse_gamma.hpp // Copyright Paul A. Bristow 2010. // Copyright John Maddock 2010. // 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) #ifndef BOOST_STATS_INVERSE_GAMMA_HPP #define BOOST_STATS_INVERSE_GAMMA_HPP // Inverse Gamma Distribution is a two-parameter family // of continuous probability distributions // on the positive real line, which is the distribution of // the reciprocal of a variable distributed according to the gamma distribution. // http://en.wikipedia.org/wiki/Inverse-gamma_distribution // http://rss.acs.unt.edu/Rdoc/library/pscl/html/igamma.html // See also gamma distribution at gamma.hpp: // http://www.itl.nist.gov/div898/handbook/eda/section3/eda366b.htm // http://mathworld.wolfram.com/GammaDistribution.html // http://en.wikipedia.org/wiki/Gamma_distribution #include #include #include #include #include namespace boost{ namespace math { namespace detail { template inline bool check_inverse_gamma_shape( const char* function, // inverse_gamma RealType shape, // shape aka alpha RealType* result, // to update, perhaps with NaN const Policy& pol) { // Sources say shape argument must be > 0 // but seems logical to allow shape zero as special case, // returning pdf and cdf zero (but not < 0). // (Functions like mean, variance with other limits on shape are checked // in version including an operator & limit below). if((shape < 0) || !(boost::math::isfinite)(shape)) { *result = policies::raise_domain_error( function, "Shape parameter is %1%, but must be >= 0 !", shape, pol); return false; } return true; } //bool check_inverse_gamma_shape template inline bool check_inverse_gamma_x( const char* function, RealType const& x, RealType* result, const Policy& pol) { if((x < 0) || !(boost::math::isfinite)(x)) { *result = policies::raise_domain_error( function, "Random variate is %1% but must be >= 0 !", x, pol); return false; } return true; } template inline bool check_inverse_gamma( const char* function, // TODO swap these over, so shape is first. RealType scale, // scale aka beta RealType shape, // shape aka alpha RealType* result, const Policy& pol) { return check_scale(function, scale, result, pol) && check_inverse_gamma_shape(function, shape, result, pol); } // bool check_inverse_gamma } // namespace detail template > class inverse_gamma_distribution { public: typedef RealType value_type; typedef Policy policy_type; inverse_gamma_distribution(RealType l_shape = 1, RealType l_scale = 1) : m_shape(l_shape), m_scale(l_scale) { RealType result; detail::check_inverse_gamma( "boost::math::inverse_gamma_distribution<%1%>::inverse_gamma_distribution", l_scale, l_shape, &result, Policy()); } RealType shape()const { return m_shape; } RealType scale()const { return m_scale; } private: // // Data members: // RealType m_shape; // distribution shape RealType m_scale; // distribution scale }; typedef inverse_gamma_distribution inverse_gamma; // typedef - but potential clash with name of inverse gamma *function*. // but there is a typedef for gamma // typedef boost::math::gamma_distribution gamma; // Allow random variable x to be zero, treated as a special case (unlike some definitions). template inline const std::pair range(const inverse_gamma_distribution& /* dist */) { // Range of permissible values for random variable x. using boost::math::tools::max_value; return std::pair(static_cast(0), max_value()); } template inline const std::pair support(const inverse_gamma_distribution& /* dist */) { // Range of supported values for random variable x. // This is range where cdf rises from 0 to 1, and outside it, the pdf is zero. using boost::math::tools::max_value; using boost::math::tools::min_value; return std::pair(static_cast(0), max_value()); } template inline RealType pdf(const inverse_gamma_distribution& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::pdf(const inverse_gamma_distribution<%1%>&, %1%)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) { // distribution parameters bad. return result; } if(x == 0) { // Treat random variate zero as a special case. return 0; } else if(false == detail::check_inverse_gamma_x(function, x, &result, Policy())) { // x bad. return result; } result = scale / x; if(result < tools::min_value()) return 0; // random variable is infinite or so close as to make no difference. result = gamma_p_derivative(shape, result, Policy()) * scale; if(0 != result) { if(x < 0) { // x * x may under or overflow, likewise our result, // so be extra careful about the arithmetic: RealType lim = tools::max_value() * x; if(lim < result) return policies::raise_overflow_error(function, "PDF is infinite.", Policy()); result /= x; if(lim < result) return policies::raise_overflow_error(function, "PDF is infinite.", Policy()); result /= x; } result /= (x * x); } // better than naive // result = (pow(scale, shape) * pow(x, (-shape -1)) * exp(-scale/x) ) / tgamma(shape); return result; } // pdf template inline RealType cdf(const inverse_gamma_distribution& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::cdf(const inverse_gamma_distribution<%1%>&, %1%)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) { // distribution parameters bad. return result; } if (x == 0) { // Treat zero as a special case. return 0; } else if(false == detail::check_inverse_gamma_x(function, x, &result, Policy())) { // x bad return result; } result = boost::math::gamma_q(shape, scale / x, Policy()); // result = tgamma(shape, scale / x) / tgamma(shape); // naive using tgamma return result; } // cdf template inline RealType quantile(const inverse_gamma_distribution& dist, const RealType& p) { BOOST_MATH_STD_USING // for ADL of std functions using boost::math::gamma_q_inv; static const char* function = "boost::math::quantile(const inverse_gamma_distribution<%1%>&, %1%)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) return result; if(false == detail::check_probability(function, p, &result, Policy())) return result; if(p == 1) { return policies::raise_overflow_error(function, 0, Policy()); } result = gamma_q_inv(shape, p, Policy()); if((result < 1) && (result * tools::max_value() < scale)) return policies::raise_overflow_error(function, "Value of random variable in inverse gamma distribution quantile is infinite.", Policy()); result = scale / result; return result; } template inline RealType cdf(const complemented2_type, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::quantile(const gamma_distribution<%1%>&, %1%)"; RealType shape = c.dist.shape(); RealType scale = c.dist.scale(); RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) return result; if(false == detail::check_inverse_gamma_x(function, c.param, &result, Policy())) return result; if(c.param == 0) return 1; // Avoid division by zero //result = 1. - gamma_q(shape, c.param / scale, Policy()); result = gamma_p(shape, scale/c.param, Policy()); return result; } template inline RealType quantile(const complemented2_type, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::quantile(const inverse_gamma_distribution<%1%>&, %1%)"; RealType shape = c.dist.shape(); RealType scale = c.dist.scale(); RealType q = c.param; RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) return result; if(false == detail::check_probability(function, q, &result, Policy())) return result; if(q == 0) { return policies::raise_overflow_error(function, 0, Policy()); } result = gamma_p_inv(shape, q, Policy()); if((result < 1) && (result * tools::max_value() < scale)) return policies::raise_overflow_error(function, "Value of random variable in inverse gamma distribution quantile is infinite.", Policy()); result = scale / result; return result; } template inline RealType mean(const inverse_gamma_distribution& dist) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::mean(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_scale(function, scale, &result, Policy())) { return result; } if((shape <= 1) || !(boost::math::isfinite)(shape)) { result = policies::raise_domain_error( function, "Shape parameter is %1%, but for a defined mean it must be > 1", shape, Policy()); return result; } result = scale / (shape - 1); return result; } // mean template inline RealType variance(const inverse_gamma_distribution& dist) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::variance(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_scale(function, scale, &result, Policy())) { return result; } if((shape <= 2) || !(boost::math::isfinite)(shape)) { result = policies::raise_domain_error( function, "Shape parameter is %1%, but for a defined variance it must be > 2", shape, Policy()); return result; } result = (scale * scale) / ((shape - 1) * (shape -1) * (shape -2)); return result; } template inline RealType mode(const inverse_gamma_distribution& dist) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::mode(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_inverse_gamma(function, scale, shape, &result, Policy())) { return result; } // Only defined for shape >= 0, but is checked by check_inverse_gamma. result = scale / (shape + 1); return result; } //template //inline RealType median(const gamma_distribution& dist) //{ // Wikipedia does not define median, // so rely on default definition quantile(0.5) in derived accessors. // return result. //} template inline RealType skewness(const inverse_gamma_distribution& dist) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::skewness(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_scale(function, scale, &result, Policy())) { return result; } if((shape <= 3) || !(boost::math::isfinite)(shape)) { result = policies::raise_domain_error( function, "Shape parameter is %1%, but for a defined skewness it must be > 3", shape, Policy()); return result; } result = (4 * sqrt(shape - 2) ) / (shape - 3); return result; } template inline RealType kurtosis_excess(const inverse_gamma_distribution& dist) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::kurtosis_excess(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_scale(function, scale, &result, Policy())) { return result; } if((shape <= 4) || !(boost::math::isfinite)(shape)) { result = policies::raise_domain_error( function, "Shape parameter is %1%, but for a defined kurtosis excess it must be > 4", shape, Policy()); return result; } result = (30 * shape - 66) / ((shape - 3) * (shape - 4)); return result; } template inline RealType kurtosis(const inverse_gamma_distribution& dist) { static const char* function = "boost::math::kurtosis(const inverse_gamma_distribution<%1%>&)"; RealType shape = dist.shape(); RealType scale = dist.scale(); RealType result = 0; if(false == detail::check_scale(function, scale, &result, Policy())) { return result; } if((shape <= 4) || !(boost::math::isfinite)(shape)) { result = policies::raise_domain_error( function, "Shape parameter is %1%, but for a defined kurtosis it must be > 4", shape, Policy()); return result; } return kurtosis_excess(dist) + 3; } } // namespace math } // namespace boost // This include must be at the end, *after* the accessors // for this distribution have been defined, in order to // keep compilers that support two-phase lookup happy. #include #endif // BOOST_STATS_INVERSE_GAMMA_HPP