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 >::rtanorm_slice ( double  mean, double  variance, double  above, unsigned int  iter = 10  ) [inline] Generate a normally distributed random variate, truncated above. This function returns a pseudo-random variate drawn from the normal distribution with given mean and variance, truncated above. It uses the slice sampling method of Robert and Casella (1999), pp. 288-289. Parameters: mean The mean of the distribution. variance The variance of the distribution. above The upper truncation point of the distribution. iter The number of iterations to use. 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) rtbnorm_combo(double mean, double variance, double below, 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)