/* gammadist.h -- computes probability of samples under / produces samples from a Gamma distribution * * Mark Johnson, 22nd March 2008 * * gammavariate() was translated from random.py in Python library * * The Gamma distribution is: * * Gamma(x | alpha, beta) = pow(x/beta, alpha-1) * exp(-x/beta) / (gamma(alpha)*beta) * * shape parameter alpha > 0 (also called c), scale parameter beta > 0 (also called s); * mean is alpha*beta, variance is alpha*beta**2 * * Note that many parameterizations of the Gamma function are in terms of an _inverse_ * scale parameter beta, which is the inverse of the beta given here. */ #ifndef GAMMADIST_H #define GAMMADIST_H #ifdef __cplusplus extern "C" { #endif /* gammadist() returns the probability density of x under a Gamma(alpha,beta) * distribution */ long double gammadist(long double x, long double alpha, long double beta); /* lgammadist() returns the log probability density of x under a Gamma(alpha,beta) * distribution */ long double lgammadist(long double x, long double alpha, long double beta); /* gammavariate() generates samples from a Gamma distribution * conditioned on the parameters alpha and beta. * * alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2 * * Warning: a few older sources define the gamma distribution in terms * of alpha > -1.0 */ long double gammavariate(long double alpha, long double beta); /* betadist() returns the probability density of x under a Beta(alpha,beta) * distribution. */ long double betadist(long double x, long double alpha, long double beta); /* lbetadist() returns the log probability density of x under a Beta(alpha,beta) * distribution. */ long double lbetadist(long double x, long double alpha, long double beta); /* betavariate() generates a sample from a Beta distribution with * parameters alpha and beta. * * 0 < alpha < 1, 0 < beta < 1, mean is alpha/(alpha+beta) */ long double betavariate(long double alpha, long double beta); #ifdef __cplusplus }; #endif #endif /* GAMMADIST_H */