Generates a pseudo-random number from a beta distribution using two shape parameters, alpha and beta. Optionally generates the lower threshold parameter, theta, and the scale parameter, sigma. The default values are theta = 0 and sigma = 1.
Returns a random number from a beta binomial distribution for n trials with probability p and correlation delta. The default value for delta is 0.
Returns random numbers from a binomial distribution with n trials and probability p of the event of interest occurring.
Returns a Cauchy distribution with given alpha (location) and beta (scale).
Returns a Chi-Square distribution with given df (degrees of freedom). The noncentrality parameter must be greater than zero, which is the default value.
Returns a random number from an F distribution with a given dfn (degrees of freedom numerator) and dfd (degrees of freedom denominator). The noncentrality parameter must be greater than zero, which is the default value.
Returns a random number from a Fréchet distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Gives a gamma distribution for given lambda and optional scale. The default value for scale is 1.
Returns a random number from a gamma Poisson distribution with parameters lambda and sigma. The default value for sigma is 1.
Returns random numbers from the geometric distribution with probability p that a specific event occurs at any one trial.
Returns a k by 1 matrix of random integers between 1 and n with no duplicates.
Returns a random number from an LEV distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a logistic distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a loglogistic distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a Lognormal-distributed random number with location parameter mu and scale sigma. The default values are mu = 0 and sigma = 1.
Generates a negative binomial distribution for r successes with probability of success p.
Generates random numbers that approximate a normal distribution with mean mu and standard deviation sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from an SEV distribution with the specified location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a t distribution with the specified df (degrees of freedom). The noncentrality argument may be negative or positive. The default value of noncentral is 0.
Generates random numbers uniformly between 0 and 1. Random Uniform(x) generates numbers between 0 and x. Random Uniform (min, max) generates numbers between min and max. The result is an approximately even distribution.