[distributions0]     Distributions

Contents

Discrete Univariate    

   
Bernoulli
   
Binomial
   
Categorical
   
Negative Binomial
   
Poisson


Continuous Univariate    

   
Beta
   
Chi-squared
   
Double Exponential
   
Exponential
   
Flat
   
Gamma
   
Generalized Extreme Value
   
Generalized Gamma
   
Generalized Pareto
   
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)    [distributions1]

Binomial
r ~ dbin(p, n)    [distributions2]

Categorical
r ~ dcat(p[])    [distributions3]

Negative Binomial
x ~ dnegbin(p, r)    [distributions4]

Poisson
r ~ dpois(lambda)    [distributions5]

Continuous Univariate [top]

Beta
p ~ dbeta(a, b)    [distributions6]

Chi-squared
x ~ dchisqr(k)    [distributions7]

Double Exponential
x ~ ddexp(mu, tau)    [distributions8]

Exponential
x ~ dexp(lambda)    [distributions9]

Flat
x ~ dflat()   constant value for all x not a proper distribution

Gamma
x ~ dgamma(r, mu)    [distributions10]

Generalized Extreme Value
x ~ dGEV(mu,sigma,eta)    [distributions11]

Generalized Gamma
x ~ gen.gamma(r, mu, beta)    [distributions12]


Generalized Pareto
x ~ dGPD(mu,sigma,eta)    [distributions13]

Log-normal
x ~ dlnorm(mu, tau)    [distributions14]

Logistic
x ~ dlogis(mu, tau)    [distributions15]

Normal
x ~ dnorm(mu, tau)    [distributions16]

Pareto
x ~ dpar(alpha, c)    [distributions17]

Student-t
x ~ dt(mu, tau, k)    [distributions18]

Uniform
x ~ dunif(a, b)    [distributions19]

Weibull
x ~ dweib(v, lambda)    [distributions20]

Discrete Multivariate [top]

Multinomial
x[] ~ dmulti(p[], N)    [distributions21]

Continuous Multivariate [top]

Dirichlet

p[] ~ ddirch(alpha[])    [distributions22]

Multivariate Normal
x[] ~ dmnorm(mu[], T[,])    [distributions23]

Multivariate Student-t
x[] ~ dmt(mu[], T[,], k)    [distributions24]

Wishart
x[,] ~ dwish(R[,], k)    [distributions25]