#ifndef STAN_MATH_PRIM_SCAL_PROB_NEG_BINOMIAL_2_LCDF_HPP
#define STAN_MATH_PRIM_SCAL_PROB_NEG_BINOMIAL_2_LCDF_HPP

#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_not_nan.hpp>
#include <stan/math/prim/scal/err/check_positive_finite.hpp>
#include <stan/math/prim/scal/meta/length.hpp>
#include <stan/math/prim/scal/meta/VectorBuilder.hpp>
#include <stan/math/prim/scal/meta/scalar_seq_view.hpp>
#include <stan/math/prim/scal/prob/beta_cdf_log.hpp>
#include <cmath>

namespace stan {
  namespace math {

    template <typename T_n, typename T_location,
              typename T_precision>
    typename return_type<T_location, T_precision>::type
    neg_binomial_2_lcdf(const T_n& n,
                           const T_location& mu,
                           const T_precision& phi) {
      using std::log;

      if (!(stan::length(n)
            && stan::length(mu)
            && stan::length(phi)))
        return 0.0;

      static const char* function("neg_binomial_2_lcdf");
      check_positive_finite(function, "Location parameter", mu);
      check_positive_finite(function, "Precision parameter", phi);
      check_not_nan(function, "Random variable", n);
      check_consistent_sizes(function,
                             "Random variable", n,
                             "Location parameter", mu,
                             "Precision Parameter", phi);

      scalar_seq_view<const T_n> n_vec(n);
      scalar_seq_view<const T_location> mu_vec(mu);
      scalar_seq_view<const T_precision> phi_vec(phi);

      size_t size_phi_mu = max_size(mu, phi);
      VectorBuilder<true, typename return_type<T_location, T_precision>::type,
                    T_location, T_precision> phi_mu(size_phi_mu);
      for (size_t i = 0; i < size_phi_mu; i++)
        phi_mu[i] = phi_vec[i] / (phi_vec[i] + mu_vec[i]);

      size_t size_n = length(n);
      VectorBuilder<true, typename return_type<T_n>::type,
                    T_n> np1(size_n);
      for (size_t i = 0; i < size_n; i++)
        if (n_vec[i] < 0)
          return log(0.0);
        else
          np1[i] = n_vec[i] + 1.0;

      return beta_cdf_log(phi_mu.data(), phi, np1.data());
    }

  }
}
#endif
