| yuima-class {yuima} | R Documentation |
Class for stochastic differential equations
Description
The yuima S4 class is a class of the yuima package.
Details
The yuima-class object is the main object of the yuima package.
Some of the slots may be missing.
The data slot contains the data, either empirical or simulated.
The model contains the description of the
(statistical) model which is used to generate the data via different
simulation schemes, to draw inference from the data or both.
The sampling slot contains information on how the data have been
collected or how they should be generated.
The slot characteristic contains information on
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The slot functional contains information on
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Slots
data:an object of class
yuima.data-classmodel:an object of class
yuima.model-classsampling:an object of class
yuima.sampling-classcharacteristic:an object of class
yuima.characteristic-classfunctional:an object of class
yuima.functional-class
Methods
- new
signature(x = "yuima", data = "yuima.data", model = "yuima.model", sampling = "yuima.sampling", characteristic = "yuima.characteristic": the function makes a copy of the prototype object from the class definition ofyuima-class, then calls theinitializemethod passing as arguments the newly created object and the remaining arguments.- initialize
signature(x = "yuima", data = "yuima.data", model = "yuima.model", sampling = "yuima.sampling", characteristic = "yuima.characteristic": makes a copy of each argument in the corresponding slots of the objectx.- get.data
signature(x = "yuima"): returns the content of the slotdata.- plot
signature(x = "yuima", ...): callsplotfrom thezoopackage with argumentx@data@zoo.data. Additional arguments...are passed as is to theplotfunction.- dim
signature(x = "yuima"): the number of SDEs in theyuimaobject.- length
signature(x = "yuima"): a vector of length of each SDE described in theyuimaobject.- cce
signature(x = "yuima"): calculates the asyncronous covariance estimator on the data contained inx@data@zoo.data. For more details seecce.- llag
signature(x = "yuima"): calculates the lead lag estimate r on the data contained inx@data@zoo.data. For more details seellag.- simulate
simulation method. For more information see
simulate.- cbind
signature(x = "yuima"): bind yuima.data object.
Author(s)
The YUIMA Project Team