ArbitraryMetropolisHastings
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to sample()
Overridden by filter/map/flatmap for monadic invocations.
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.
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
the transform to apply to the sampled value.
Samples one element and qpplies the provided function to it.
Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:
for(x <- Rand.uniform) { println(x) }
the function to be applied
Converts a random sampler of one type to a random sampler of another type.
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 2*x
the transform to apply to the sampled value.
Force the "next" draw to be x, and return a new process.
Force the "next" draw to be x, and return a new process.
Gets n samples from the distribution.
Gets n samples from the distribution.
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to get()
An infinitely long iterator that samples repeatedly from the Rand
An infinitely long iterator that samples repeatedly from the Rand
an iterator that repeatedly samples
Return a vector of samples.
Return a vector of samples.
Draw a sample and the next step of the process along with it.
Draw a sample and the next step of the process along with it.
Returns an Iterator that automatically moves the Process along as next is called
Returns an Iterator that automatically moves the Process along as next is called