logp: Calculate the log likelihood of an rcppbugs object.
In armstrtw/rcppbugs: R binding for cppbugs
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
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
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 May 10, 2019, 1:42 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
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
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)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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