annotate DEPENDENCIES/generic/include/boost/math/distributions/detail/derived_accessors.hpp @ 133:4acb5d8d80b6 tip

Don't fail environmental check if README.md exists (but .txt and no-suffix don't)
author Chris Cannam
date Tue, 30 Jul 2019 12:25:44 +0100
parents 2665513ce2d3
children
rev   line source
Chris@16 1 // Copyright John Maddock 2006.
Chris@16 2 // Use, modification and distribution are subject to the
Chris@16 3 // Boost Software License, Version 1.0. (See accompanying file
Chris@16 4 // LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
Chris@16 5
Chris@16 6 #ifndef BOOST_STATS_DERIVED_HPP
Chris@16 7 #define BOOST_STATS_DERIVED_HPP
Chris@16 8
Chris@16 9 // This file implements various common properties of distributions
Chris@16 10 // that can be implemented in terms of other properties:
Chris@16 11 // variance OR standard deviation (see note below),
Chris@16 12 // hazard, cumulative hazard (chf), coefficient_of_variation.
Chris@16 13 //
Chris@16 14 // Note that while both variance and standard_deviation are provided
Chris@16 15 // here, each distribution MUST SPECIALIZE AT LEAST ONE OF THESE
Chris@16 16 // otherwise these two versions will just call each other over and over
Chris@16 17 // until stack space runs out ...
Chris@16 18
Chris@16 19 // Of course there may be more efficient means of implementing these
Chris@16 20 // that are specific to a particular distribution, but these generic
Chris@16 21 // versions give these properties "for free" with most distributions.
Chris@16 22 //
Chris@16 23 // In order to make use of this header, it must be included AT THE END
Chris@16 24 // of the distribution header, AFTER the distribution and its core
Chris@16 25 // property accessors have been defined: this is so that compilers
Chris@16 26 // that implement 2-phase lookup and early-type-checking of templates
Chris@16 27 // can find the definitions refered to herein.
Chris@16 28 //
Chris@16 29
Chris@16 30 #include <boost/type_traits/is_same.hpp>
Chris@16 31 #include <boost/static_assert.hpp>
Chris@16 32
Chris@16 33 #ifdef BOOST_MSVC
Chris@16 34 # pragma warning(push)
Chris@16 35 # pragma warning(disable: 4723) // potential divide by 0
Chris@16 36 // Suppressing spurious warning in coefficient_of_variation
Chris@16 37 #endif
Chris@16 38
Chris@16 39 namespace boost{ namespace math{
Chris@16 40
Chris@16 41 template <class Distribution>
Chris@16 42 typename Distribution::value_type variance(const Distribution& dist);
Chris@16 43
Chris@16 44 template <class Distribution>
Chris@16 45 inline typename Distribution::value_type standard_deviation(const Distribution& dist)
Chris@16 46 {
Chris@16 47 BOOST_MATH_STD_USING // ADL of sqrt.
Chris@16 48 return sqrt(variance(dist));
Chris@16 49 }
Chris@16 50
Chris@16 51 template <class Distribution>
Chris@16 52 inline typename Distribution::value_type variance(const Distribution& dist)
Chris@16 53 {
Chris@16 54 typename Distribution::value_type result = standard_deviation(dist);
Chris@16 55 return result * result;
Chris@16 56 }
Chris@16 57
Chris@16 58 template <class Distribution, class RealType>
Chris@16 59 inline typename Distribution::value_type hazard(const Distribution& dist, const RealType& x)
Chris@16 60 { // hazard function
Chris@16 61 // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ
Chris@16 62 typedef typename Distribution::value_type value_type;
Chris@16 63 typedef typename Distribution::policy_type policy_type;
Chris@16 64 value_type p = cdf(complement(dist, x));
Chris@16 65 value_type d = pdf(dist, x);
Chris@16 66 if(d > p * tools::max_value<value_type>())
Chris@16 67 return policies::raise_overflow_error<value_type>(
Chris@16 68 "boost::math::hazard(const Distribution&, %1%)", 0, policy_type());
Chris@16 69 if(d == 0)
Chris@16 70 {
Chris@16 71 // This protects against 0/0, but is it the right thing to do?
Chris@16 72 return 0;
Chris@16 73 }
Chris@16 74 return d / p;
Chris@16 75 }
Chris@16 76
Chris@16 77 template <class Distribution, class RealType>
Chris@16 78 inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x)
Chris@16 79 { // cumulative hazard function.
Chris@16 80 // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ
Chris@16 81 BOOST_MATH_STD_USING
Chris@16 82 return -log(cdf(complement(dist, x)));
Chris@16 83 }
Chris@16 84
Chris@16 85 template <class Distribution>
Chris@16 86 inline typename Distribution::value_type coefficient_of_variation(const Distribution& dist)
Chris@16 87 {
Chris@16 88 typedef typename Distribution::value_type value_type;
Chris@16 89 typedef typename Distribution::policy_type policy_type;
Chris@16 90
Chris@16 91 using std::abs;
Chris@16 92
Chris@16 93 value_type m = mean(dist);
Chris@16 94 value_type d = standard_deviation(dist);
Chris@16 95 if((abs(m) < 1) && (d > abs(m) * tools::max_value<value_type>()))
Chris@16 96 { // Checks too that m is not zero,
Chris@16 97 return policies::raise_overflow_error<value_type>("boost::math::coefficient_of_variation(const Distribution&, %1%)", 0, policy_type());
Chris@16 98 }
Chris@16 99 return d / m; // so MSVC warning on zerodivide is spurious, and suppressed.
Chris@16 100 }
Chris@16 101 //
Chris@16 102 // Next follow overloads of some of the standard accessors with mixed
Chris@16 103 // argument types. We just use a typecast to forward on to the "real"
Chris@16 104 // implementation with all arguments of the same type:
Chris@16 105 //
Chris@16 106 template <class Distribution, class RealType>
Chris@16 107 inline typename Distribution::value_type pdf(const Distribution& dist, const RealType& x)
Chris@16 108 {
Chris@16 109 typedef typename Distribution::value_type value_type;
Chris@16 110 return pdf(dist, static_cast<value_type>(x));
Chris@16 111 }
Chris@16 112 template <class Distribution, class RealType>
Chris@16 113 inline typename Distribution::value_type cdf(const Distribution& dist, const RealType& x)
Chris@16 114 {
Chris@16 115 typedef typename Distribution::value_type value_type;
Chris@16 116 return cdf(dist, static_cast<value_type>(x));
Chris@16 117 }
Chris@16 118 template <class Distribution, class RealType>
Chris@16 119 inline typename Distribution::value_type quantile(const Distribution& dist, const RealType& x)
Chris@16 120 {
Chris@16 121 typedef typename Distribution::value_type value_type;
Chris@16 122 return quantile(dist, static_cast<value_type>(x));
Chris@16 123 }
Chris@16 124 /*
Chris@16 125 template <class Distribution, class RealType>
Chris@16 126 inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x)
Chris@16 127 {
Chris@16 128 typedef typename Distribution::value_type value_type;
Chris@16 129 return chf(dist, static_cast<value_type>(x));
Chris@16 130 }
Chris@16 131 */
Chris@16 132 template <class Distribution, class RealType>
Chris@16 133 inline typename Distribution::value_type cdf(const complemented2_type<Distribution, RealType>& c)
Chris@16 134 {
Chris@16 135 typedef typename Distribution::value_type value_type;
Chris@16 136 return cdf(complement(c.dist, static_cast<value_type>(c.param)));
Chris@16 137 }
Chris@16 138
Chris@16 139 template <class Distribution, class RealType>
Chris@16 140 inline typename Distribution::value_type quantile(const complemented2_type<Distribution, RealType>& c)
Chris@16 141 {
Chris@16 142 typedef typename Distribution::value_type value_type;
Chris@16 143 return quantile(complement(c.dist, static_cast<value_type>(c.param)));
Chris@16 144 }
Chris@16 145
Chris@16 146 template <class Dist>
Chris@16 147 inline typename Dist::value_type median(const Dist& d)
Chris@16 148 { // median - default definition for those distributions for which a
Chris@16 149 // simple closed form is not known,
Chris@16 150 // and for which a domain_error and/or NaN generating function is NOT defined.
Chris@16 151 typedef typename Dist::value_type value_type;
Chris@16 152 return quantile(d, static_cast<value_type>(0.5f));
Chris@16 153 }
Chris@16 154
Chris@16 155 } // namespace math
Chris@16 156 } // namespace boost
Chris@16 157
Chris@16 158
Chris@16 159 #ifdef BOOST_MSVC
Chris@16 160 # pragma warning(pop)
Chris@16 161 #endif
Chris@16 162
Chris@16 163 #endif // BOOST_STATS_DERIVED_HPP