vec_dmeasure: Vector of measurement densities

In kidusasfaw/spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes

Vector of measurement densities

Description

Evaluate the unit measurement model density function for each unit. This method is used primarily as part of likelihood evaluation and parameter inference algorithms.

Usage

## S4 method for signature 'spatPomp'
vec_dmeasure(object, y, x, units, times, params, log = FALSE, ...)

Arguments

object	a spatPomp object
y	numeric; measurements whose densities given the latent states are evaluated
x	numeric; state at which conditional measurement densities are evaluated
units	numeric; units at which measurement densities are evaluated
times	numeric; time at which measurement densities are evaluated
params	numeric; parameter set at which measurement densities is evaluated
log	logical; should the outputted measurement densities be on log scale?
...	additional parameters will be ignored

Value

An array of dimension length(unit_names(object)) by dim(x)[2] by dim(x)[3] representing each unit's measurement density assessed for each replicate in x for each observation time.

Author(s)

Kidus Asfaw

kidusasfaw/spatPomp documentation built on April 22, 2024, 4:24 p.m.