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emhawkes: Exponential Multivariate Hawkes Model

Simulate and fitting exponential multivariate Hawkes model. This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.2307/2334319>, with an exponential kernel and fits the parameters from the data. Models with the constant parameters, as well as complex dependent structures, can also be simulated and estimated. The estimation is based on the maximum likelihood method, introduced by introduced by Ozaki (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.

Version: 0.9.7
Depends: R (≥ 3.4.0)
Imports: methods, maxLik
Suggests: knitr, rmarkdown, miscTools, V8
Published: 2023-02-02
DOI: 10.32614/CRAN.package.emhawkes
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: emhawkes results

Documentation:

Reference manual: emhawkes.pdf
Vignettes: Example : emhawkes package

Downloads:

Package source: emhawkes_0.9.7.tar.gz
Windows binaries: r-devel: emhawkes_0.9.7.zip, r-release: emhawkes_0.9.7.zip, r-oldrel: emhawkes_0.9.7.zip
macOS binaries: r-release (arm64): emhawkes_0.9.7.tgz, r-oldrel (arm64): emhawkes_0.9.7.tgz, r-release (x86_64): emhawkes_0.9.7.tgz, r-oldrel (x86_64): emhawkes_0.9.7.tgz
Old sources: emhawkes archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.