PointProcess-class: Class "PointProcess"

In ppstat: Point Process Statistics

Description

This class is a virtual class. It implements general structures for generalized linear point process models.

Slots

call:

a "call". The call that created the point process model.

Delta:

a "numeric". The equidistant spacings between basis function evaluations - within the support.

delta:

a "numeric". The interdistances between the grid (time) points in the data set.

df:

a "numeric". The effective degrees of freedom.

family:

an object of class "Family". The family object specifying the specific interpretation of the formula specification.

formula:

a "formula". The model formula specifying the model.

loss:

a "character" specifying the type of loss function used for model fitting.

response:

a "character". The vector of response marks. Extracted from the formula.

optimResult:

a "list" containing the results from a call to optim.

processData:

a "MarkedPointProcess" - the model data.

support:

a "numeric". The support, [a,b], of the linear filter functions as a vector of length 2, support = c(a,b).

Methods

computeMinusLogLikelihood

signature(model = "PointProcessModel"): Computes the minus-log-likelihood function.

family

signature(object = "PointProcess"): Returns the Family object from the model.

formula

signature(model = "PointProcess"): Returns the model formula.

formula<-

signature(model = "PointProcess", value = "formula"): Sets the model formula and the response.

response

signature(model = "PointProcess"): Returns the response mark(s).

processData

signature(model = "PointProcess"): Returns the process data.

processData<-

signature(model = "PointProcess", value = "ProcessData"): Sets the process data.

Author(s)

Niels Richard Hansen, [e-mail]

See Also

pointProcessModel, PointProcessModel, ProcessData, formula.

Examples

showClass("PointProcess")

ppstat documentation built on May 2, 2019, 5:26 p.m.