inv_chi_square.hpp

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#ifndef __STAN__PROB__DIST__UNI__CONTINUOUS__INV_CHI_SQUARE_HPP__
#define __STAN__PROB__DIST__UNI__CONTINUOUS__INV_CHI_SQUARE_HPP__
 
#include <stan/agrad.hpp>
#include <stan/math/error_handling.hpp>
#include <stan/math/special_functions.hpp>
#include <stan/meta/traits.hpp>
#include <stan/prob/constants.hpp>
#include <stan/prob/traits.hpp>
 
namespace stan {
 
  namespace prob {
 
    template <bool propto,
              typename T_y, typename T_dof, 
              class Policy>
    typename return_type<T_y,T_dof>::type
    inv_chi_square_log(const T_y& y, const T_dof& nu, 
                       const Policy&) {
      static const char* function = "stan::prob::inv_chi_square_log(%1%)";
 
      // check if any vectors are zero length
      if (!(stan::length(y) 
            && stan::length(nu)))
        return 0.0;
 
      using stan::math::check_finite;      
      using stan::math::check_positive;
      using stan::math::check_not_nan;
      using stan::math::value_of;
      using stan::math::check_consistent_sizes;
 
      typename return_type<T_y,T_dof>::type logp(0.0);
      if (!check_finite(function, nu, "Degrees of freedom parameter", &logp, Policy()))
        return logp;
      if (!check_positive(function, nu, "Degrees of freedom parameter", &logp, Policy()))
        return logp;
      if (!check_not_nan(function, y, "Random variable", &logp, Policy()))
        return logp;
 
      if (!(check_consistent_sizes(function,
                                   y,nu,
                                   "Random variable","Degrees of freedom parameter",
                                   &logp, Policy())))
        return logp;
 
       
      // set up template expressions wrapping scalars into vector views
      VectorView<const T_y> y_vec(y);
      VectorView<const T_dof> nu_vec(nu);
      size_t N = max_size(y, nu);
      
      for (size_t n = 0; n < length(y); n++) 
        if (value_of(y_vec[n]) <= 0)
          return LOG_ZERO;
 
      using boost::math::lgamma;
      using stan::math::multiply_log;
      for (size_t n = 0; n < N; n++) {
        if (include_summand<propto,T_dof>::value)
          logp += nu_vec[n] * NEG_LOG_TWO_OVER_TWO - lgamma(0.5 * nu_vec[n]);
        if (include_summand<propto,T_y,T_dof>::value)
          logp -= multiply_log(0.5*nu_vec[n]+1.0, y_vec[n]);
        if (include_summand<propto,T_y>::value)
          logp -= 0.5 / y_vec[n];
      }
      return logp;
    }
 
    template <bool propto,
              typename T_y, typename T_dof>
    inline
    typename return_type<T_y,T_dof>::type
    inv_chi_square_log(const T_y& y, const T_dof& nu) {
      return inv_chi_square_log<propto>(y,nu,stan::math::default_policy());
    }
 
    template <typename T_y, typename T_dof, 
              class Policy>
    inline
    typename return_type<T_y,T_dof>::type
    inv_chi_square_log(const T_y& y, const T_dof& nu, 
                       const Policy&) {
      return inv_chi_square_log<false>(y,nu,Policy());
    }
      
 
    template <typename T_y, typename T_dof>
    inline
    typename return_type<T_y,T_dof>::type
    inv_chi_square_log(const T_y& y, const T_dof& nu) {
      return inv_chi_square_log<false>(y,nu,stan::math::default_policy());
    }
    
  }
}
 
#endif