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MRHawkes (version 1.0)

Multivariate Renewal Hawkes Process

Description

Simulate a (bivariate) multivariate renewal Hawkes (MRHawkes) self-exciting process, with given immigrant hazard rate functions and offspring density function. Calculate the likelihood of a MRHawkes process with given hazard rate functions and offspring density function for an (increasing) sequence of event times. Calculate the Rosenblatt residuals of the event times. Predict future event times based on observed event times up to a given time. For details see Stindl and Chen (2018) .

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Version

Install

install.packages('MRHawkes')

Monthly Downloads

151

Version

1.0

License

GPL (>= 2)

Maintainer

Tom Stindl

Last Published

August 20th, 2018

Functions in MRHawkes (1.0)

predDen

MRHawkes (bivariate) predictive density function
mllMRH2

Minus loglikelihood of an (bivariate) MRHawkes model with Rosenblatt residuals
simNSMHP

Simulate a (bivariate) non-stationary multivariate Hawkes process (NSMHP)
simpred

Simulate a fitted (bivariate) MRHawkes process model
MRHawkes-package

MRHawkes
TmllMRH

Minus loglikelihood of an (bivariate) MRHawkes model with truncated most recent immigrant probabilities
typeRes

Minus loglikelihood of an (bivariate) MRHawkes model with Universal residuals
fivaqks

Fiji and Vanuatu Earthquake Data
mllMRH

Minus loglikelihood of an (bivariate) MRHawkes model
mllMRH1

Minus loglikelihood of an (bivariate) MRHawkes model with most recent immigrant probabilities
simMRHawkes

Simulate an (bivariate) renewal Hawkes (MRHawkes) process