Distributions
Contents
Discrete Univariate
Bernoulli
Binomial
Categorical
Negative Binomial
Poisson
Continuous Univariate
Beta
Chi-squared
Double Exponential
Exponential
Gamma
Generalized Gamma
Log-normal
Logisitic
Normal
Pareto
Student-t
Uniform
Weibull
Discrete Multivariate
Multinomial
Continuous Multivariate
Dirichlet
Multivariate Normal
Multivariate Student-t
Wishart
Discrete Univariate [top]
Bernoulli
r ~ dbern (p)
Binomial
r ~ dbin(p, n)
Categorical
r ~ dcat(p[])
Negative Binomial
x ~ dnegbin(p, r)
Poisson
r ~ dpois(lambda)
Continuous Univariate [top]
Beta
p ~ dbeta(a, b)
Chi-squared
x ~ dchisqr(k)
Double Exponential
x ~ ddexp(mu, tau)
Exponential
x ~ dexp(lambda)
Gamma
x ~ dgamma(r, mu)
Generalized Gamma
x ~ gen.gamma(r, mu, beta)
Log-normal
x ~ dlnorm(mu, tau)
Logistic
x ~ dlogis(mu, tau)
Normal
x ~ dnorm(mu, tau)
Pareto
x ~ dpar(alpha, c)
Student-t
x ~ dt(mu, tau, k)
Uniform
x ~ dunif(a, b)
Weibull
x ~ dweib(v, lambda)
Discrete Multivariate [top]
Multinomial
x[] ~ dmulti(p[], N)
Continuous Multivariate [top]
Dirichlet
p[] ~ ddirch(alpha[])
Multivariate Normal
x[] ~ dmnorm(mu[], T[,])
Multivariate Student-t
x[] ~ dmt(mu[], T[,], k)
Wishart
x[,] ~ dwish(R[,], k)