dunit_measure: dunit_measure 'dunit_measure' evaluates the unit measurement...

In spatPomp: Inference for Spatiotemporal Partially Observed Markov Processes

dunit_measure dunit_measure evaluates the unit measurement density of a unit's observation given the entire state

Description

dunit_measure dunit_measure evaluates the unit measurement density of a unit's observation given the entire state

Usage

## S4 method for signature 'spatPomp'
dunit_measure(object, y, x, unit, time, params, log = TRUE, ...)

Arguments

object	An object of class spatPomp
y	A U by 1 matrix of observations for all units
x	A state vector for all units
unit	The unit for which to evaluate the unit measurement density
time	The time for which to evaluate the unit measurement density
params	parameters at which to evaluate the unit measurement density
log	logical; should the density be returned on log scale?
...	additional arguments will be ignored

Value

A class ‘matrix’ with the unit measurement density for spatial unit unit corresponding to the corresponding measurement in y and states in x.

Examples

# Complete examples are provided in the package tests
## Not run: 
b <- bm(U=3)
s <- states(b)[,1,drop=FALSE]
rownames(s) -> rn
dim(s) <- c(3,1,1)
dimnames(s) <- list(variable=rn, rep=NULL)
p <- coef(b); names(p) -> rnp
dim(p) <- c(length(p),1); dimnames(p) <- list(param=rnp)
o <- obs(b)[,1,drop=FALSE]
dunit_measure(b, y=o, x=s, unit=1, time=1, params=p)

## End(Not run)

spatPomp documentation built on Aug. 10, 2023, 1:10 a.m.