| pomp-class {pomp} | R Documentation |
The class pomp encodes a partially-observed Markov process.
Objects should be created by calls of the function
pomp. See the documentation for pomp for
usage instructions and important warnings.
nobs x ntimes, where nobs is the number of
observed variables and ntimes is the number of times at which
observations were made.times must be a strictly increasing numeric vector.rprocess(xstart,times,params,...) which simulates from the
unobserved process.dprocess(x,times,params,log=FALSE,...) which evaluates
the likelihood of a sequence of consecutive state transitions.rmeasure(x,times,params,...)
which simulates from the observation process.dmeasure(y,x,params,log=FALSE,...) which gives the
likelihood of y given x.pomp object in a nice way.pomp object.data.array(object) returns the array of
observations. data.array(object,vars) gives just the
observations of variables vars. vars may specify
the variables by position or by name.pomp object can be coerced to a data-frame
via as(object,"data.frame").rprocess-pomp.dprocess-pomp.rmeasure-pomp.dmeasure-pomp.simulate can be used to simulate state and/or
observation trajectories. See documentation under
simulate-pomp.Aaron A. King (kingaa at umich dot edu)