distributions.hpp File Reference

#include <map>
#include <cmath>
#include "utility.hpp"

Classes
class	vg::uniform_real_distribution< T >
class	vg::normal_distribution< T >
class	vg::WideningPRNG< PRNG, OutType >
class	vg::uniform_int_distribution< T >
class	vg::discrete_distribution< T >
	We provide a partial discrete_distribution implementation that is just the parts we need. More...

Namespaces
	vg

Typedefs
using	vg::real_t = long double

Functions
real_t	vg::gamma_ln (real_t x)
real_t	vg::factorial_ln (int n)
real_t	vg::pow_ln (real_t m, int n)
real_t	vg::choose_ln (int n, int k)
real_t	vg::multinomial_choose_ln (int n, vector< int > k)
real_t	vg::poisson_prob_ln (int observed, real_t expected)
template<typename ProbIn >
real_t	vg::multinomial_sampling_prob_ln (const vector< ProbIn > &probs, const vector< int > &obs)
template<typename ProbIn >
real_t	vg::binomial_cmf_ln (ProbIn success_logprob, size_t trials, size_t successes)
template<typename ProbIn >
real_t	vg::geometric_sampling_prob_ln (ProbIn success_logprob, size_t trials)
template<typename Iter >
bool	vg::advance_split (Iter start, Iter end)
template<typename ProbIn >
real_t	vg::multinomial_censored_sampling_prob_ln (const vector< ProbIn > &probs, const unordered_map< vector< bool >, int > &obs)
real_t	vg::ewens_af_prob_ln (const vector< int > &a, real_t theta)