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455 lines
20 KiB
C++
455 lines
20 KiB
C++
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// test_inverse_gamma.cpp
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// Copyright Paul A. Bristow 2010.
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// Copyright John Maddock 2010.
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt
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// or copy at http://www.boost.org/LICENSE_1_0.txt)
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#ifdef _MSC_VER
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# pragma warning (disable : 4224) // nonstandard extension used : formal parameter 'type' was previously defined as a type
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// in Boost.test and lexical_cast
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# pragma warning (disable : 4310) // cast truncates constant value
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#endif
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#include <boost/math/tools/test.hpp>
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#include <boost/math/concepts/real_concept.hpp> // for real_concept
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using ::boost::math::concepts::real_concept;
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//#include <boost/math/tools/test.hpp>
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#define BOOST_TEST_MAIN
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#include <boost/test/unit_test.hpp> // for test_main
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#include <boost/test/floating_point_comparison.hpp> // for BOOST_CHECK_CLOSE_FRACTION
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#include "test_out_of_range.hpp"
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#include <boost/math/distributions/inverse_gamma.hpp> // for inverse_gamma_distribution
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using boost::math::inverse_gamma_distribution;
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using ::boost::math::inverse_gamma;
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// using ::boost::math::cdf;
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// using ::boost::math::pdf;
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#include <boost/math/special_functions/gamma.hpp>
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using boost::math::tgamma; // for naive pdf.
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#include <iostream>
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using std::cout;
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using std::endl;
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#include <limits>
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using std::numeric_limits;
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template <class RealType>
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RealType naive_pdf(RealType shape, RealType scale, RealType x)
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{ // Formula from Wikipedia
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using namespace std; // For ADL of std functions.
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using boost::math::tgamma;
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RealType result = (pow(scale, shape) * pow(x, (-shape -1)) * exp(-scale/x) ) / tgamma(shape);
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return result;
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}
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// Test using a spot value from some other reference source,
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// in this case test values from output from R provided by Thomas Mang.
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template <class RealType>
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void test_spot(
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RealType shape, // shape,
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RealType scale, // scale,
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RealType x, // random variate x,
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RealType pd, // expected pdf,
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RealType P, // expected CDF,
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RealType Q, // expected complement of CDF,
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RealType tol) // test tolerance.
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{
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boost::math::inverse_gamma_distribution<RealType> dist(shape, scale);
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BOOST_CHECK_CLOSE_FRACTION
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( // Compare to expected PDF.
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pdf(dist, x), // calculated.
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pd, // expected
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tol);
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BOOST_CHECK_CLOSE_FRACTION( // Compare to naive formula (might be less accurate).
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pdf(dist, x), naive_pdf(dist.shape(), dist.scale(), x), tol);
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BOOST_CHECK_CLOSE_FRACTION( // Compare to expected CDF.
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cdf(dist, x), P, tol);
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if((P < 0.999) && (Q < 0.999))
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{ // We can only check this if P is not too close to 1,
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// so that we can guarantee Q is accurate:
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BOOST_CHECK_CLOSE_FRACTION(
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cdf(complement(dist, x)), Q, tol);
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BOOST_CHECK_CLOSE_FRACTION(
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quantile(dist, P), x, tol); // quantile(pdf) = x
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BOOST_CHECK_CLOSE_FRACTION(
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quantile(complement(dist, Q)), x, tol);
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}
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} // test_spot
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// Test using a spot value from some other reference source.
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template <class RealType> // Any floating-point type RealType.
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void test_spots(RealType)
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{
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// Basic sanity checks, test data is to six decimal places only
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// so set tolerance to 0.000001 expressed as a percentage = 0.0001%.
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RealType tolerance = 0.000001f; // as fraction.
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cout << "Tolerance = " << tolerance * 100 << "%." << endl;
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// This test values from output from R provided by Thomas Mang.
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test_spot(static_cast<RealType>(2), static_cast<RealType>(1), // shape, scale
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static_cast<RealType>(2.L), // x
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static_cast<RealType>(0.075816332464079136L), // pdf
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static_cast<RealType>(0.90979598956895047L), // cdf
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static_cast<RealType>(1 - 0.90979598956895047L), // cdf complement
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tolerance // tol
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);
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test_spot(static_cast<RealType>(1.593), static_cast<RealType>( 0.5), // shape, scale
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static_cast<RealType>( 0.5), // x
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static_cast<RealType>(0.82415241749687074L), // pdf
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static_cast<RealType>(0.60648042700409865L), // cdf
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static_cast<RealType>(1 - 0.60648042700409865L), // cdf complement
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tolerance // tol
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);
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test_spot(static_cast<RealType>(13.319), static_cast<RealType>(0.5), // shape, scale
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static_cast<RealType>(0.5), // x
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static_cast<RealType>(0.00000000068343206235379223), // pdf
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static_cast<RealType>(0.99999999997242739L), // cdf
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static_cast<RealType>(1 - 0.99999999997242739L), // cdf complement
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tolerance // tol
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);
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test_spot(static_cast<RealType>(1.593), static_cast<RealType>(1), // shape, scale
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static_cast<RealType>(1.977), // x
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static_cast<RealType>(0.11535946773398653L), // pdf
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static_cast<RealType>(0.82449794420341549L), // cdf
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static_cast<RealType>(1 - 0.82449794420341549L), // cdf complement
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tolerance // tol
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);
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test_spot(static_cast<RealType>(6.666), static_cast<RealType>(1.411), // shape, scale
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static_cast<RealType>(5), // x
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static_cast<RealType>(0.000000084415758206386872), // pdf
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static_cast<RealType>(0.99999993427280998L), // cdf
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static_cast<RealType>(1 - 0.99999993427280998L), // cdf complement
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tolerance // tol
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);
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// Check some bad parameters to the distribution,
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#ifndef BOOST_NO_EXCEPTIONS
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> igbad1(-1, 0), std::domain_error); // negative shape.
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> igbad2(0, -1), std::domain_error); // negative scale.
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> igbad2(-1, -1), std::domain_error); // negative scale and shape.
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#else
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(-1, 0), std::domain_error); // negative shape.
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(0, -1), std::domain_error); // negative scale.
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(-1, -1), std::domain_error); // negative scale and shape.
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#endif
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inverse_gamma_distribution<RealType> ig21(2, 1);
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if(std::numeric_limits<RealType>::has_infinity)
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{
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BOOST_MATH_CHECK_THROW(pdf(ig21, +std::numeric_limits<RealType>::infinity()), std::domain_error); // x = + infinity, pdf = 0
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BOOST_MATH_CHECK_THROW(pdf(ig21, -std::numeric_limits<RealType>::infinity()), std::domain_error); // x = - infinity, pdf = 0
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BOOST_MATH_CHECK_THROW(cdf(ig21, +std::numeric_limits<RealType>::infinity()),std::domain_error ); // x = + infinity, cdf = 1
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BOOST_MATH_CHECK_THROW(cdf(ig21, -std::numeric_limits<RealType>::infinity()), std::domain_error); // x = - infinity, cdf = 0
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BOOST_MATH_CHECK_THROW(cdf(complement(ig21, +std::numeric_limits<RealType>::infinity())), std::domain_error); // x = + infinity, c cdf = 0
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BOOST_MATH_CHECK_THROW(cdf(complement(ig21, -std::numeric_limits<RealType>::infinity())), std::domain_error); // x = - infinity, c cdf = 1
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#ifndef BOOST_NO_EXCEPTIONS
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> nbad1(std::numeric_limits<RealType>::infinity(), static_cast<RealType>(1)), std::domain_error); // +infinite mean
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> nbad1(-std::numeric_limits<RealType>::infinity(), static_cast<RealType>(1)), std::domain_error); // -infinite mean
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType> nbad1(static_cast<RealType>(0), std::numeric_limits<RealType>::infinity()), std::domain_error); // infinite sd
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#else
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(std::numeric_limits<RealType>::infinity(), static_cast<RealType>(1)), std::domain_error); // +infinite mean
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(-std::numeric_limits<RealType>::infinity(), static_cast<RealType>(1)), std::domain_error); // -infinite mean
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BOOST_MATH_CHECK_THROW(boost::math::inverse_gamma_distribution<RealType>(static_cast<RealType>(0), std::numeric_limits<RealType>::infinity()), std::domain_error); // infinite sd
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#endif
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}
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if (std::numeric_limits<RealType>::has_quiet_NaN)
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{
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// No longer allow x to be NaN, then these tests should throw.
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BOOST_MATH_CHECK_THROW(pdf(ig21, +std::numeric_limits<RealType>::quiet_NaN()), std::domain_error); // x = NaN
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BOOST_MATH_CHECK_THROW(cdf(ig21, +std::numeric_limits<RealType>::quiet_NaN()), std::domain_error); // x = NaN
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BOOST_MATH_CHECK_THROW(cdf(complement(ig21, +std::numeric_limits<RealType>::quiet_NaN())), std::domain_error); // x = + infinity
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BOOST_MATH_CHECK_THROW(quantile(ig21, +std::numeric_limits<RealType>::quiet_NaN()), std::domain_error); // p = + infinity
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BOOST_MATH_CHECK_THROW(quantile(complement(ig21, +std::numeric_limits<RealType>::quiet_NaN())), std::domain_error); // p = + infinity
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}
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// Spot check for pdf using 'naive pdf' function
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for(RealType x = 0.5; x < 5; x += 0.5)
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{
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BOOST_CHECK_CLOSE_FRACTION(
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pdf(inverse_gamma_distribution<RealType>(5, 6), x),
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naive_pdf(RealType(5), RealType(6), x),
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tolerance);
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} // Spot checks for parameters:
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RealType tol_few_eps = boost::math::tools::epsilon<RealType>() * 5; // 5 eps as a fraction.
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inverse_gamma_distribution<RealType> dist51(5, 1);
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inverse_gamma_distribution<RealType> dist52(5, 2);
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inverse_gamma_distribution<RealType> dist31(3, 1);
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inverse_gamma_distribution<RealType> dist111(11, 1);
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// 11 mean 0.10000000000000001, variance 0.0011111111111111111, sd 0.033333333333333333
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RealType x = static_cast<RealType>(0.125);
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using namespace std; // ADL of std names.
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using namespace boost::math;
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// mean, variance etc
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BOOST_CHECK_CLOSE_FRACTION(mean(dist52), static_cast<RealType>(0.5), tol_few_eps);
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BOOST_CHECK_CLOSE_FRACTION(mean(dist111), static_cast<RealType>(0.1L), tol_few_eps);
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inverse_gamma_distribution<RealType> igamma41(static_cast<RealType>(4.), static_cast<RealType>(1.) );
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BOOST_CHECK_CLOSE_FRACTION(mean(igamma41), static_cast<RealType>(0.3333333333333333333333333333333333333333333333333333333L), tol_few_eps);
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// variance:
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BOOST_CHECK_CLOSE_FRACTION(variance(dist51), static_cast<RealType>(0.0208333333333333333333333333333333333333333333333333L), tol_few_eps);
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BOOST_CHECK_CLOSE_FRACTION(variance(dist31), static_cast<RealType>(0.25), tol_few_eps);
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BOOST_CHECK_CLOSE_FRACTION(variance(dist111), static_cast<RealType>(0.001111111111111111111111111111111111111111111111111L), tol_few_eps);
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// std deviation:
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BOOST_CHECK_CLOSE_FRACTION(standard_deviation(dist31), static_cast<RealType>(0.5), tol_few_eps);
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BOOST_CHECK_CLOSE_FRACTION(standard_deviation(dist111), static_cast<RealType>(0.0333333333333333333333333333333333333333333333333L), tol_few_eps);
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// hazard:
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BOOST_CHECK_CLOSE_FRACTION(hazard(dist51, x), pdf(dist51, x) / cdf(complement(dist51, x)), tol_few_eps);
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// cumulative hazard:
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BOOST_CHECK_CLOSE_FRACTION(chf(dist51, x), -log(cdf(complement(dist51, x))), tol_few_eps);
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// coefficient_of_variation:
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BOOST_CHECK_CLOSE_FRACTION(coefficient_of_variation(dist51), standard_deviation(dist51) / mean(dist51), tol_few_eps);
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// mode:
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BOOST_CHECK_CLOSE_FRACTION(mode(dist51), static_cast<RealType>(0.166666666666666666666666666666666666666666666666666L), tol_few_eps);
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// median
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//BOOST_CHECK_CLOSE_FRACTION(median(dist52), static_cast<RealType>(0), tol_few_eps);
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// Useful to have an exact median? Failing that use a loop back test.
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BOOST_CHECK_CLOSE_FRACTION(cdf(dist111, median(dist111)), 0.5, tol_few_eps);
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// skewness:
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BOOST_CHECK_CLOSE_FRACTION(skewness(dist111), static_cast<RealType>(1.5), tol_few_eps);
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//kurtosis:
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BOOST_CHECK_CLOSE_FRACTION(kurtosis(dist51), static_cast<RealType>(42 + 3), tol_few_eps);
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// kurtosis excess:
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BOOST_CHECK_CLOSE_FRACTION(kurtosis_excess(dist51), static_cast<RealType>(42), tol_few_eps);
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tol_few_eps = boost::math::tools::epsilon<RealType>() * 3; // 3 eps as a percentage.
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// Special and limit cases:
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if(std::numeric_limits<RealType>::is_specialized)
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{
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RealType mx = (std::numeric_limits<RealType>::max)();
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RealType mi = (std::numeric_limits<RealType>::min)();
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BOOST_CHECK_EQUAL(
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pdf(inverse_gamma_distribution<RealType>(1),
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static_cast<RealType>(mx)), // max()
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static_cast<RealType>(0)
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);
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BOOST_CHECK_EQUAL(
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pdf(inverse_gamma_distribution<RealType>(1),
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static_cast<RealType>(mi)), // min()
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static_cast<RealType>(0)
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);
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}
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BOOST_CHECK_EQUAL(
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pdf(inverse_gamma_distribution<RealType>(1), static_cast<RealType>(0)), static_cast<RealType>(0));
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BOOST_CHECK_EQUAL(
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pdf(inverse_gamma_distribution<RealType>(3), static_cast<RealType>(0))
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, static_cast<RealType>(0.0f));
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BOOST_CHECK_EQUAL(
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cdf(inverse_gamma_distribution<RealType>(1), static_cast<RealType>(0))
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, static_cast<RealType>(0.0f));
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BOOST_CHECK_EQUAL(
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cdf(inverse_gamma_distribution<RealType>(2), static_cast<RealType>(0))
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, static_cast<RealType>(0.0f));
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BOOST_CHECK_EQUAL(
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cdf(inverse_gamma_distribution<RealType>(3), static_cast<RealType>(0))
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, static_cast<RealType>(0.0f));
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BOOST_CHECK_EQUAL(
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cdf(complement(inverse_gamma_distribution<RealType>(1), static_cast<RealType>(0)))
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, static_cast<RealType>(1));
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BOOST_CHECK_EQUAL(
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cdf(complement(inverse_gamma_distribution<RealType>(2), static_cast<RealType>(0)))
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, static_cast<RealType>(1));
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BOOST_CHECK_EQUAL(
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cdf(complement(inverse_gamma_distribution<RealType>(3), static_cast<RealType>(0)))
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, static_cast<RealType>(1));
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BOOST_MATH_CHECK_THROW(
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pdf(
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inverse_gamma_distribution<RealType>(static_cast<RealType>(-1)), // shape negative.
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static_cast<RealType>(1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
pdf(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(-1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
cdf(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(-1)),
|
||
|
|
static_cast<RealType>(1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
cdf(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(-1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
cdf(complement(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(-1)),
|
||
|
|
static_cast<RealType>(1))), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
cdf(complement(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(-1))), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(-1)),
|
||
|
|
static_cast<RealType>(0.5)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(-1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(1.1)), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(complement(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(-1)),
|
||
|
|
static_cast<RealType>(0.5))), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(complement(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(-1))), std::domain_error
|
||
|
|
);
|
||
|
|
BOOST_MATH_CHECK_THROW(
|
||
|
|
quantile(complement(
|
||
|
|
inverse_gamma_distribution<RealType>(static_cast<RealType>(8)),
|
||
|
|
static_cast<RealType>(1.1))), std::domain_error
|
||
|
|
);
|
||
|
|
check_out_of_range<inverse_gamma_distribution<RealType> >(1, 1);
|
||
|
|
} // template <class RealType>void test_spots(RealType)
|
||
|
|
|
||
|
|
BOOST_AUTO_TEST_CASE( test_main )
|
||
|
|
{
|
||
|
|
BOOST_MATH_CONTROL_FP;
|
||
|
|
|
||
|
|
// Check that can generate inverse_gamma distribution using the two convenience methods:
|
||
|
|
// inverse_gamma_distribution; // with default parameters, shape = 1, scale - 1
|
||
|
|
using boost::math::inverse_gamma;
|
||
|
|
inverse_gamma ig2(2.); // Using typedef and shape parameter (and default scale = 1).
|
||
|
|
BOOST_CHECK_EQUAL(ig2.shape(), 2.); // scale == 2.
|
||
|
|
BOOST_CHECK_EQUAL(ig2.scale(), 1.); // scale == 1 (default).
|
||
|
|
inverse_gamma ig; // Using typedef, type double and default values, shape = 1 and scale = 1
|
||
|
|
// check default is (1, 1)
|
||
|
|
BOOST_CHECK_EQUAL(ig.shape(), 1.); // shape == 1
|
||
|
|
BOOST_CHECK_EQUAL(ig.scale(), 1.); // scale == 1
|
||
|
|
BOOST_CHECK_EQUAL(mode(ig), 0.5); // mode = 1/2
|
||
|
|
|
||
|
|
// Used to find some 'exact' values for testing mean, variance ...
|
||
|
|
//for (int shape = 4; shape < 30; shape++)
|
||
|
|
// {
|
||
|
|
// inverse_gamma ig(shape, 1);
|
||
|
|
// cout.precision(17);
|
||
|
|
// cout << shape << ' ' << mean(ig) << ' ' << variance(ig) << ' ' << standard_deviation(ig)
|
||
|
|
// << ' ' << median(ig) << endl;
|
||
|
|
// }
|
||
|
|
|
||
|
|
// and "using boost::math::inverse_gamma_distribution;".
|
||
|
|
inverse_gamma_distribution<> ig23(2., 3.); // Using default RealType double.
|
||
|
|
BOOST_CHECK_EQUAL(ig23.shape(), 2.); //
|
||
|
|
BOOST_CHECK_EQUAL(ig23.scale(), 3.); //
|
||
|
|
|
||
|
|
inverse_gamma_distribution<float> igf23(1.f, 2.f); // Using explicit RealType float.
|
||
|
|
BOOST_CHECK_EQUAL(igf23.shape(), 1.f); //
|
||
|
|
BOOST_CHECK_EQUAL(igf23.scale(), 2.f); //
|
||
|
|
// Some tests using default double.
|
||
|
|
double tol5eps = boost::math::tools::epsilon<double>() * 5; // 5 eps as a fraction.
|
||
|
|
inverse_gamma_distribution<double> ig102(10., 2.); //
|
||
|
|
BOOST_CHECK_EQUAL(ig102.shape(), 10.); //
|
||
|
|
BOOST_CHECK_EQUAL(ig102.scale(), 2.); //
|
||
|
|
// formatC(SuppDists::dinvGauss(10, 1, 0.5), digits=17)[1] "0.0011774669940754754"
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(pdf(ig102, 0.5), 0.1058495335284024, tol5eps);
|
||
|
|
// formatC(SuppDists::pinvGauss(10, 1, 0.5), digits=17) [1] "0.99681494462166653"
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(cdf(ig102, 0.5), 0.99186775720306608, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(quantile(ig102, 0.05), 0.12734622346137681, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(quantile(ig102, 0.5), 0.20685272858879727, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(quantile(ig102, 0.95), 0.36863602680851204, tol5eps);
|
||
|
|
// Check mean, etc spot values.
|
||
|
|
inverse_gamma_distribution<double> ig51(5., 1.); // shape = 5, scale = 1
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(mean(ig51), 0.25, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(variance(ig51), 0.0208333333333333333333333333333333333333333, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(skewness(ig51), 2 * std::sqrt(3.), tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(kurtosis_excess(ig51), 42, tol5eps);
|
||
|
|
// mode and median
|
||
|
|
inverse_gamma_distribution<double> ig21(1., 2.);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(mode(ig21), 1, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(median(ig21), 2.8853900817779268, tol5eps);
|
||
|
|
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(quantile(ig21, 0.5), 2.8853900817779268, tol5eps);
|
||
|
|
BOOST_CHECK_CLOSE_FRACTION(cdf(ig21, median(ig21)), 0.5, tol5eps);
|
||
|
|
|
||
|
|
// Check throws from bad parameters.
|
||
|
|
inverse_gamma ig051(0.5, 1.); // shape < 1, so wrong for mean.
|
||
|
|
BOOST_MATH_CHECK_THROW(mean(ig051), std::domain_error);
|
||
|
|
inverse_gamma ig191(1.9999, 1.); // shape < 2, so wrong for variance.
|
||
|
|
BOOST_MATH_CHECK_THROW(variance(ig191), std::domain_error);
|
||
|
|
inverse_gamma ig291(2.9999, 1.); // shape < 3, so wrong for skewness.
|
||
|
|
BOOST_MATH_CHECK_THROW(skewness(ig291), std::domain_error);
|
||
|
|
inverse_gamma ig391(3.9999, 1.); // shape < 1, so wrong for kurtosis and kurtosis_excess.
|
||
|
|
BOOST_MATH_CHECK_THROW(kurtosis(ig391), std::domain_error);
|
||
|
|
BOOST_MATH_CHECK_THROW(kurtosis_excess(ig391), std::domain_error);
|
||
|
|
|
||
|
|
// Basic sanity-check spot values.
|
||
|
|
// (Parameter value, arbitrarily zero, only communicates the floating point type).
|
||
|
|
test_spots(0.0F); // Test float. OK at decdigits = 0 tolerance = 0.0001 %
|
||
|
|
test_spots(0.0); // Test double. OK at decdigits 7, tolerance = 1e07 %
|
||
|
|
#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
|
||
|
|
test_spots(0.0L); // Test long double.
|
||
|
|
#ifndef BOOST_MATH_NO_REAL_CONCEPT_TESTS
|
||
|
|
test_spots(boost::math::concepts::real_concept(0.)); // Test real concept.
|
||
|
|
#endif
|
||
|
|
#else
|
||
|
|
std::cout << "<note>The long double tests have been disabled on this platform "
|
||
|
|
"either because the long double overloads of the usual math functions are "
|
||
|
|
"not available at all, or because they are too inaccurate for these tests "
|
||
|
|
"to pass.</note>" << std::endl;
|
||
|
|
#endif
|
||
|
|
|
||
|
|
} // BOOST_AUTO_TEST_CASE( test_main )
|
||
|
|
|
||
|
|
/*
|
||
|
|
|
||
|
|
Output:
|
||
|
|
|
||
|
|
------ Build started: Project: test_inverse_gamma_distribution, Configuration: Release Win32 ------
|
||
|
|
test_inverse_gamma_distribution.cpp
|
||
|
|
Generating code
|
||
|
|
Finished generating code
|
||
|
|
test_inverse_gamma_distribution.vcxproj -> J:\Cpp\MathToolkit\test\Math_test\Release\test_inverse_gamma_distribution.exe
|
||
|
|
Running 1 test case...
|
||
|
|
Tolerance = 0.0001%.
|
||
|
|
Tolerance = 0.0001%.
|
||
|
|
Tolerance = 0.0001%.
|
||
|
|
Tolerance = 0.0001%.
|
||
|
|
|
||
|
|
*** No errors detected
|
||
|
|
========== Build: 1 succeeded, 0 failed, 0 up-to-date, 0 skipped ==========
|
||
|
|
|
||
|
|
|
||
|
|
*/
|
||
|
|
|
||
|
|
|
||
|
|
|