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
nsims x ntimes , where nvars is the number of
state variables, nsims is the number of replicates, and
ntimes is the length of times . Note that if
nsims != nrow(y) or ntimes != length(times) , 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. |
Returns a matrix of dimensions nsims
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)