R: Class for the parameter description of stochastic...
model.parameter-class
R Documentation
Class for the parameter description of stochastic differential equations
Description
The model.parameter-class is a class of the yuima package.
Details
The model.parameter-class object cannot be directly specified by the user
but it is constructed when the yuima.model-class object is
constructed via setModel.
All the terms which are not in the list of solution, state, time, jump variables
are considered as parameters. These parameters are
identified in the different components of the model (drift, diffusion and
jump part).
This information is later used to draw inference jointly or separately for
the different parameters depending on the model in hands.
Slots
drift:
A vector of names belonging to
the drift coefficient.
diffusion:
A vector of names of parameters belonging to
the diffusion coefficient.
jump:
A vector of names of parameters belonging to
the jump coefficient.
measure:
A vector of names of parameters belonging to
the Levy measure.
xinit:
A vector of names of parameters belonging to
the initial condition.
all:
A vector of names of all the parameters found in the
components of the model.
common:
A vector of names of the parameters in common among
drift, diffusion, jump and measure term.