Logposterior: Log posterior

In baccione-eawag/EawagSchoolTools: Miscellaneous Tools for Eawag Summer School in Environmental Systems Analysis

Description

Function to calculate the log posterior probability density for a model. It is based on a likelihood definition provided by the user, and a multivariate normal or lognormal distribution at the prior.

This log posterior implementation serves as a template for implementing more specific posteriors.

Usage

Logposterior(par,model,L,y,prior.dist="lognormal",
             prior.mean=1,prior.sd=1,prior.cor=NA,prior.def=NA,
             loglikeli=Loglikeli,...)

Arguments

par	parameters
model	model function
L	observation layout
y	data
prior.dist	prior distribution type (default "lognormal")
prior.mean	prior distribution mean
prior.sd	prior distribution standard deviation
prior.cor	prior distribution correlation matrix
prior.def	prior distribution definition (if using independent one-dimensional distributions)
loglikeli	log likelihood function
...	additional arguments passed to loglikeli

Value

Returns log posterior.

Author(s)

Peter Reichert <[e-mail]>

See Also

Loglikeli.

baccione-eawag/EawagSchoolTools documentation built on Dec. 19, 2021, 6:38 a.m.