| dmeasure-pomp {pomp} | R Documentation |
The method dmeaure evaluates the probability density of a set of measurements given the state of the system.
dmeasure(object, y, x, times, params, log = FALSE, ...) ## S4 method for signature 'pomp': dmeasure(object, y, x, times, params, log = FALSE, ...)
object |
an object of class pomp. |
y |
a rank-2 array containing observations.
The dimensions of y are nobs x ntimes, where nobs is the number of observables and ntimes is the length of times.
|
x |
a rank-3 array containing the states of the unobserved process.
The dimensions of x are nvars x nreps x ntimes, where nvars is the number of state variables, nreps is the number of replicates, and ntimes is the length of times.
Note that if ntimes != length(times) or ntimes != ncol(y), an error is generated.
|
times |
a numeric vector containing the times at which the observations were made. |
params |
a rank-2 array of parameters with columns corresponding to the columns of x.
Note that the x and params must agree in the number of their columns.
|
log |
if TRUE, probabilities p are given as log(p). |
... |
at present, these are ignored. |
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.
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].
Aaron A. King (kingaa at umich dot edu)