operator() rbern rbeta rbinom rchisq rdirich rexp rf rgamma richisq rigamma rlnorm rlogis rmvnorm rmvt rnbinom rnchypgeom rng rnorm rpois rt rtanorm_combo rtanorm_slice rtbnorm_combo rtbnorm_slice rtnorm rtnorm_combo runif rweibull rwish

template<class RNGTYPE> double scythe::rng< RNGTYPE >::rtbnorm_combo ( double  mean, double  variance, double  below, unsigned int  iter = 10  ) [inline] Generate a normally distributed random variate, truncated below. This function returns a pseudo-random variate drawn from the normal distribution with given mean and variance, truncated below. It uses a combination of rejection sampling (when mean >= below) and the slice sampling method of Robert and Casella (1999), pp. 288-289 (when mean < below). Parameters: mean The mean of the distribution. variance The variance of the distribution. below The lower truncation point of the distribution. iter The number of iterations to run the slice sampler. See also: rtnorm(double mean, double variance, double below, double above) rtnorm_combo(double mean, double variance, double below, double above) rtbnorm_slice(double mean, double variance, double below, unsigned int iter = 10) rtanorm_slice(double mean, double variance, double above, unsigned int iter = 10) rtanorm_combo(double mean, double variance, double above, unsigned int iter = 10) rnorm(double x, double mean, double sd) Exceptions: scythe_invalid_arg (Level 1)