Compute Log-Posterior Mode

DESCRIPTION:

Computes the mode of the log-posterior distribution of the parameters given the data and the prior distribution.

This function is generic (see Methods); method functions can be written to handle specific classes of data. Classes which already have methods for this function include: Loglin, Gauss and cgm.

USAGE:

logpost(object, ...) 

REQUIRED ARGUMENTS:

object
an object of class "Gauss", "preGauss", "Loglin", "preLoglin", "cgm" or "preCgm".

OPTIONAL ARGUMENTS:

...
most methods have additional arguments prior and theta which affect the log-posterior calculations. Additional arguments are possible. See the specific function called for a list of all possible arguments.

VALUE:

the mode of the log-posterior distribution.

REFERENCES:

Schafer, J. L. (1997), Analysis of Incomplete Multivariate Data, Chapman & Hall, London.

SEE ALSO:

, , .

EXAMPLES:

fit <- emGauss(cholesterol) 
logpost(fit) 
logpost.Gauss(fit)    #same