MultivariateGaussian

Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

Converts a random sampler of one type to a random sampler of another type. Examples: randInt(10).flatMap(x => randInt(3 * x.asInstanceOf[Int]) gives a Rand[Int] in the range [0,30] Equivalently, for(x <- randInt(10); y <- randInt(30 *x)) yield y

Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

<pre> for(x &lt;- Rand.uniform) { println(x) } </pre>

Converts a random sampler of one type to a random sampler of another type. Examples: uniform.map(_2) gives a Rand[Double] in the range [0,2] Equivalently, for(x <- uniform) yield 2x

Returns the probability density function at that point.

Gets n samples from the distribution.

Gets one sample from the distribution. Equivalent to get()

An infinitely long iterator that samples repeatedly from the Rand

Return a vector of samples.

Returns the probability density function up to a constant at that point.