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cov_matrix_free_lkj.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_COV_MATRIX_FREE_LKJ_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_COV_MATRIX_FREE_LKJ_HPP
3
4 #include <stan/math/prim/mat/fun/Eigen.hpp>
5 #include <stan/math/prim/mat/meta/index_type.hpp>
6 #include <stdexcept>
7
8 namespace stan {
9
10 namespace math {
11
30 template <typename T>
31 Eigen::Matrix<T, Eigen::Dynamic, 1>
32 cov_matrix_free_lkj(
33 const Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>& y) {
34 using Eigen::Array;
35 using Eigen::Dynamic;
36 using Eigen::Matrix;
37 using stan::math::index_type;
38 typedef typename index_type<Matrix<T, Dynamic, Dynamic> >::type size_type;
39
40 size_type k = y.rows();
41 if (y.cols() != k)
42 throw std::domain_error("y is not a square matrix");
43 if (k == 0)
44 throw std::domain_error("y has no elements");
45 size_type k_choose_2 = (k * (k-1)) / 2;
46 Array<T, Dynamic, 1> cpcs(k_choose_2);
47 Array<T, Dynamic, 1> sds(k);
48 bool successful = factor_cov_matrix(y, cpcs, sds);
49 if (!successful)
50 throw std::runtime_error("factor_cov_matrix failed on y");
51 Matrix<T, Dynamic, 1> x(k_choose_2 + k);
52 size_type pos = 0;
53 for (size_type i = 0; i < k_choose_2; ++i)
54 x[pos++] = cpcs[i];
55 for (size_type i = 0; i < k; ++i)
56 x[pos++] = sds[i];
57 return x;
58 }
59
60 }
61
62 }
63
64 #endif
stan::math::size_type
Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic >::Index size_type
Type for sizes and indexes in an Eigen matrix with double e.
Definition: typedefs.hpp:13
stan::math::index_type
Primary template class for the metaprogram to compute the index type of a container.
Definition: index_type.hpp:19
stan::math::factor_cov_matrix
bool factor_cov_matrix(const Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > &Sigma, Eigen::Array< T, Eigen::Dynamic, 1 > &CPCs, Eigen::Array< T, Eigen::Dynamic, 1 > &sds)
This function is intended to make starting values, given a covariance matrix Sigma.
Definition: factor_cov_matrix.hpp:27
index_type.hpp
stan::math::cov_matrix_free_lkj
Eigen::Matrix< T, Eigen::Dynamic, 1 > cov_matrix_free_lkj(const Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > &y)
Return the vector of unconstrained partial correlations and deviations that transform to the specifie...
Definition: cov_matrix_free_lkj.hpp:32
stan::math::domain_error
void domain_error(const char *function, const char *name, const T &y, const char *msg1, const char *msg2)
Throw a domain error with a consistently formatted message.
Definition: domain_error.hpp:32
Eigen.hpp

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