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| 1 | +#include <stan/math/prim.hpp> |
| 2 | +#include <gtest/gtest.h> |
| 3 | + |
| 4 | +TEST(ProbDistributionsGaussianCopulaCholesky, EqualsMultiNormalCholesky) { |
| 5 | + using stan::math::gaussian_copula_cholesky_lpdf; |
| 6 | + using stan::math::multi_normal_cholesky_lpdf; |
| 7 | + using stan::math::diag_pre_multiply; |
| 8 | + |
| 9 | + Eigen::VectorXd y(2); |
| 10 | + y << 1, 3; |
| 11 | + |
| 12 | + Eigen::VectorXd mu(2); |
| 13 | + mu << 0.1, 0; |
| 14 | + |
| 15 | + Eigen::VectorXd sd(2); |
| 16 | + sd << 2, 1; |
| 17 | + |
| 18 | + Eigen::MatrixXd chol(2, 2); |
| 19 | + chol << 1, 0, 0.5, 0.8660254037844386; |
| 20 | + |
| 21 | + auto norm_lcdf = [](auto&& y, auto&& mu, auto&& sigma) { |
| 22 | + return stan::math::normal_lcdf(y, mu, sigma); |
| 23 | + }; |
| 24 | + |
| 25 | + auto std_norm_lcdf = [](auto&& y) { |
| 26 | + return stan::math::std_normal_lcdf(y); |
| 27 | + }; |
| 28 | + |
| 29 | + // y[0] ~ normal(0.1, 2) |
| 30 | + // y[1] ~ normal(0, 1) |
| 31 | + auto lcdf_functors = std::make_tuple( |
| 32 | + std::make_tuple(norm_lcdf, mu[0], sd[0]), |
| 33 | + std::make_tuple(std_norm_lcdf) |
| 34 | + ); |
| 35 | + |
| 36 | + double log_prob = |
| 37 | + stan::math::normal_lpdf(y[0], 0.1, 2) + |
| 38 | + stan::math::std_normal_lpdf(y[1]) + |
| 39 | + gaussian_copula_cholesky_lpdf(y, lcdf_functors, chol); |
| 40 | + |
| 41 | + |
| 42 | + double expected_log_prob = multi_normal_cholesky_lpdf( |
| 43 | + y, mu, diag_pre_multiply(sd, chol)); |
| 44 | + |
| 45 | + EXPECT_FLOAT_EQ(log_prob, expected_log_prob); |
| 46 | +} |
| 47 | + |
| 48 | +TEST(ProbDistributionsGaussianCopulaCholesky, NonNormalMarginals) { |
| 49 | + Eigen::VectorXd y(2); |
| 50 | + y << 10, 6; |
| 51 | + |
| 52 | + Eigen::MatrixXd chol(2, 2); |
| 53 | + chol << 1, 0, 0.2, 0.9797958971; |
| 54 | + |
| 55 | + auto gamma_lcdf = [](auto&& y, auto&& shape, auto&& scale) { |
| 56 | + return stan::math::gamma_lcdf(y, shape, scale); |
| 57 | + }; |
| 58 | + |
| 59 | + auto exp_lcdf = [](auto&& y, auto&& scale) { |
| 60 | + return stan::math::exponential_lcdf(y, scale); |
| 61 | + }; |
| 62 | + |
| 63 | + // y[0] ~ gamma(2, 1) |
| 64 | + // y[1] ~ exponential(2) |
| 65 | + auto lcdf_functors = std::make_tuple( |
| 66 | + std::make_tuple(gamma_lcdf, 2.0, 1.0), |
| 67 | + std::make_tuple(exp_lcdf, 2.0) |
| 68 | + ); |
| 69 | + |
| 70 | + double log_prob = |
| 71 | + stan::math::gamma_lpdf(y[0], 2.0, 1.0) + |
| 72 | + stan::math::exponential_lpdf(y[1], 2.0) + |
| 73 | + stan::math::gaussian_copula_cholesky_lpdf(y, lcdf_functors, chol); |
| 74 | + |
| 75 | + EXPECT_FLOAT_EQ(log_prob, -16.61005941); |
| 76 | +} |
| 77 | + |
| 78 | +TEST(ProbDistributionsGaussianCopulaCholesky, Errors) { |
| 79 | + Eigen::VectorXd y(2); |
| 80 | + y << 10, 6; |
| 81 | + |
| 82 | + Eigen::VectorXd small_y(1); |
| 83 | + small_y << 10; |
| 84 | + |
| 85 | + Eigen::MatrixXd chol(2, 2); |
| 86 | + chol << 1, 0, 0.2, 0.9797958971; |
| 87 | + |
| 88 | + auto gamma_lcdf = [](auto&& y, auto&& shape, auto&& scale) { |
| 89 | + return stan::math::gamma_lcdf(y, shape, scale); |
| 90 | + }; |
| 91 | + auto exp_lcdf = [](auto&& y, auto&& scale) { |
| 92 | + return stan::math::exponential_lcdf(y, scale); |
| 93 | + }; |
| 94 | + |
| 95 | + auto lcdf_functors = std::make_tuple( |
| 96 | + std::make_tuple(gamma_lcdf, 2.0, 1.0), |
| 97 | + std::make_tuple(exp_lcdf, 2.0) |
| 98 | + ); |
| 99 | + |
| 100 | + auto small_lcdf_functors = std::make_tuple( |
| 101 | + std::make_tuple(gamma_lcdf, 2.0, 1.0) |
| 102 | + ); |
| 103 | + |
| 104 | + auto invalid_lcdf_functors = std::make_tuple( |
| 105 | + std::make_tuple(gamma_lcdf, 2.0, 1.0), |
| 106 | + std::make_tuple([](auto&& y){ return y * 10; }) |
| 107 | + ); |
| 108 | + |
| 109 | + EXPECT_THROW( |
| 110 | + stan::math::gaussian_copula_cholesky_lpdf(y, small_lcdf_functors, chol), |
| 111 | + std::invalid_argument |
| 112 | + ); |
| 113 | + |
| 114 | + EXPECT_THROW( |
| 115 | + stan::math::gaussian_copula_cholesky_lpdf(small_y, lcdf_functors, chol), |
| 116 | + std::invalid_argument |
| 117 | + ); |
| 118 | + |
| 119 | + EXPECT_THROW( |
| 120 | + stan::math::gaussian_copula_cholesky_lpdf(y, invalid_lcdf_functors, chol), |
| 121 | + std::domain_error |
| 122 | + ); |
| 123 | +} |
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