Other packages > Find by keyword >

hawkesbow  

Estimation of Hawkes Processes from Binned Observations
View on CRAN: Click here


Download and install hawkesbow package within the R console
Install from CRAN:
install.packages("hawkesbow")

Install from Github:
library("remotes")
install_github("cran/hawkesbow")

Install by package version:
library("remotes")
install_version("hawkesbow", "1.0.3")



Attach the package and use:
library("hawkesbow")
Maintained by
Felix Cheysson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-31
Latest Update: 2024-01-12
Description:
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) . Some general use functions for Hawkes processes are also included: simulation of (in)homogeneous Hawkes process, maximum likelihood estimation, residual analysis, etc.
How to cite:
Felix Cheysson (2021). hawkesbow: Estimation of Hawkes Processes from Binned Observations. R package version 1.0.3, https://cran.r-project.org/web/packages/hawkesbow. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2021-03-31 10:50), 1.0.1 (2021-04-07 11:20), 1.0.2 (2021-04-10 01:40)
Other packages that cited hawkesbow R package
View hawkesbow citation profile
Other R packages that hawkesbow depends, imports, suggests or enhances
Complete documentation for hawkesbow
Functions, R codes and Examples using the hawkesbow R package
Some associated functions: E1_imaginary . Etheta_imaginary . Exponential . Model . compensator . discrete . dpowerlaw . hawkes . hawkes_ogata . hawkesbow-package . inc_gamma_imag . inhpois . intensity . mle . plot.hawkes . plot.hawkes_ogata . plot.inhpois . residuals . whittle . 
Some associated R codes: RcppExports.R . discretize.R . hawkes.R . hawkes_ogata.R . hawkesbow-package.R . kernels.R . mle.R . powerlaw.R . whittle.R .  Full hawkesbow package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA