convertCoda {BayesianTools} | R Documentation |
Function is used to make the plot and diagnostic functions available for coda::mcmc objects
convertCoda(sampler, names = NULL, info = NULL, likelihood = NULL)
sampler |
An object of class mcmc or mcmc.list |
names |
vector giving the parameter names (optional) |
info |
matrix (or list with matrices for mcmc.list objects) with three coloumns containing log posterior, log likelihood and log prior of the sampler for each time step (optional; but see Details) |
likelihood |
likelihood function used in the sampling (see Details) |
The parameter 'likelihood' is optional for most functions but can be needed e.g for
using the DIC
function.
Also the parameter info is optional for most uses. However for some functions (e.g. MAP
)
the matrix or single coloumns (e.g. log posterior) are necessary for the diagnostics.