logp: Calculate the log likelihood of an rcppbugs object.

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/cppbugs.R

Description

Calculate the log likelihood of an rcppbugs object based on the current state of the dependant(upstream) objects in the chain.

Usage

1
logp(x)

Arguments

x

any stochastic rcppbugs object

Value

a double precision value indicating the total log likelihood of the object.

Author(s)

rcppbugs was written by Whit Armstrong.

References

https://github.com/armstrtw/CppBugs

See Also

mcmc.normal

Examples

1
2
3
4
5
6
7
8
NR <- 100
NC <- 2

b <- mcmc.normal(rnorm(NC),mu=0,tau=0.0001)
tau.y <- mcmc.gamma(runif(1),alpha=0.1,beta=0.1)

logp(b)
logp(tau.y)

armstrtw/rcppbugs documentation built on June 3, 2017, 10:03 p.m.