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hawkesbow: Estimation of Hawkes Processes from Binned Observations

Implements an estimation method for Hawkes processes when count data are only observed in discrete time, using a spectral approach derived from the Bartlett spectrum, see Cheysson and Lang (2020) <doi:10.48550/arXiv.2003.04314>. Some general use functions for Hawkes processes are also included: simulation of (in)homogeneous Hawkes process, maximum likelihood estimation, residual analysis, etc.

Version:1.0.3
Depends:Rcpp
Imports:methods,nloptr
LinkingTo:Rcpp,RcppArmadillo,BH
Suggests:testthat (≥ 2.1.0),knitr,rmarkdown
Published:2024-01-12
DOI:10.32614/CRAN.package.hawkesbow
Author:Felix CheyssonORCID iD [aut, cre]
Maintainer:Felix Cheysson <felix at cheysson.fr>
License:MIT + fileLICENSE
NeedsCompilation:yes
Materials:README
CRAN checks:hawkesbow results

Documentation:

Reference manual:hawkesbow.html ,hawkesbow.pdf
Vignettes:hawkesbow (source,R code)

Downloads:

Package source: hawkesbow_1.0.3.tar.gz
Windows binaries: r-devel:hawkesbow_1.0.3.zip, r-release:hawkesbow_1.0.3.zip, r-oldrel:hawkesbow_1.0.3.zip
macOS binaries: r-release (arm64):hawkesbow_1.0.3.tgz, r-oldrel (arm64):hawkesbow_1.0.3.tgz, r-release (x86_64):hawkesbow_1.0.3.tgz, r-oldrel (x86_64):hawkesbow_1.0.3.tgz
Old sources: hawkesbow archive

Reverse dependencies:

Reverse suggests:stelfi

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=hawkesbowto link to this page.


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