The Beta distribution, which is the conjugate prior for the Bernoulli distribution
A binomial distribution returns how many coin flips out of n are heads, where numYes is the probability of any one coin being heads.
Chi-Squared distribution with k degrees of freedom.
Represents a continuous Distribution.
Represents an unnormalized probability distribution.
Represents a Dirichlet distribution, the conjugate prior to the multinomial.
Represents a discrete Distribution.
Represents a Gamma distribution.
Represents a Gaussian distribution over a single real variable.
The Geometric distribution calculates the number of trials until the first success, which happens with probability p.
Trait representing conjugate priors.
A log normal distribution is distributed such that log X ~ Normal(\mu, \sigma)
Interface for distributions that can report on some of their moments
Represents a Multinomial distribution over elements.
Negative Binomial Distribution
Represents a Poisson random variable.
Represents a Polya distribution, a.
A Rand that changes based on previous draws.
A trait for monadic distributions.
Provides standard combinators and such to use to compose new Rands.
Represents a Von Mises distribution, which is a distribution over angles.
Provides several defaults for Dirichlets, one for Arrays and one for Counters.
Provides methods for doing MCMC.
Provides routines to create Multinomials
Provides a number of random generators.