pomp (version 0.28-2)

dmeasure-pomp: Evaluate the probability density of observations given underlying states in a partially-observed Markov process

Description

The method dmeasure evaluates the probability density of a set of measurements given the state of the system. This function is part of the low-level interface to pomp objects. This help page does not give instructions on the implementation of models: see pomp for instructions.

Usage

dmeasure(object, y, x, times, params, log = FALSE, ...)
## S3 method for class 'pomp':
dmeasure(object, y, x, times, params, log = FALSE, \dots)

Value

• Returns a matrix of dimensions nreps x ntimes. If d is the returned matrix, d[j,k] is the likelihood of the observation y[,k] at time times[k] given the state x[,j,k].

Details

This function is essentially a wrapper around the user-supplied dmeasure slot of the pomp object. For specifications on writing such a function, see pomp.

See Also

pomp-class, pomp