dLogPosterior: Posterior distribution for a fitmodel

In sbfnk/fitR: Tool box for fitting dynamic infectious disease models to time series

Posterior distribution for a fitmodel

Description

This function evaluates the posterior distribution at theta and returns the result in a suitable format for mcmcMh.

Usage

dLogPosterior(fitmodel, theta, initState, data, margLogLike = dTrajObs, ...)

Arguments

fitmodel	a fitmodel object
theta	named numeric vector. Values of the parameters. Names should match fitmodel$thetaNames.
initState	named numeric vector. Initial values of the state variables. Names should match fitmodel$stateNames.
data	data frame. Observation times and observed data. The time column must be named "time" and the observation column must be named "obs".
margLogLike	R-function to compute the marginal log-likelihood of theta.
...	further arguments to be passed to margLogLike

Value

a list of two elements

• logDensity numeric, logged value of the posterior density evaluated at theta

• trace named vector with trace information (theta, logPrior, margLogLike, logPosterior)

See Also

dTrajObs, margLogLikeSto

sbfnk/fitR documentation built on July 18, 2023, 3:28 p.m.