PriorAndPosterior: Prior and posterior distributions

In stla/brr: Bayesian Inference on the Ratio of Two Poisson Rates

Description

Generic functions for prior and posterior distributions

Usage

dprior(model, parameter, ...)

pprior(model, parameter, ...)

qprior(model, parameter, ...)

rprior(model, parameter, ...)

sprior(model, parameter, ...)

dpost(model, parameter, ...)

ppost(model, parameter, ...)

qpost(model, parameter, ...)

rpost(model, parameter, ...)

spost(model, parameter, ...)

Arguments

model	an object of class brr (see Brr)
parameter	a character string among mu, phi, lambda, x, y
...	the first argument of the function called

Examples

model <- Brr(a=2, b=4)
dprior(model, "mu", 1:3)
# the same:
dprior_mu(mu=1:3, a=2, b=4)
## Not run: 
dprior(model, "lambda", 1:3)
## End(Not run)
model <- model(c=4, d=5, S=10, T=10)
dprior(model, "lambda", 1:3)
model <- model(x=5, y=10)
ppost(model, "phi", 1)
model <- Brr()
## Not run: 
ppost(model, "phi", 1)
## End(Not run)
model <- model(x=5, y=10, S=3, T=10)
ppost(model, "phi", 1)

stla/brr documentation built on May 30, 2019, 5:46 p.m.