Package: hawkesbow 1.0.3
Felix Cheysson
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) <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.
Authors:
hawkesbow_1.0.3.tar.gz
hawkesbow_1.0.3.tar.gz(r-4.7-arm64)hawkesbow_1.0.3.tar.gz(r-4.7-x86_64)hawkesbow_1.0.3.tar.gz(r-4.6-arm64)hawkesbow_1.0.3.tar.gz(r-4.6-x86_64)
hawkesbow_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hawkesbow/json (API)
| # Install 'hawkesbow' in R: |
| install.packages('hawkesbow', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7c6f8138cd. Checks:4 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 208 | ||
| linux-devel-x86_64 | WARNING | 188 | ||
| source / vignettes | OK | 309 | ||
| linux-release-arm64 | WARNING | 205 | ||
| linux-release-x86_64 | WARNING | 192 | ||
| wasm-release | OK | 139 |
Exports:compensatordiscretedpowerlawE1_imaginaryEtheta_imaginaryExponentialGaussianhawkeshawkes_ogatainc_gamma_imaginhpoisintensitymleModelPareto1Pareto2Pareto3PowerLawppowerlawqpowerlawresidualsrpowerlawSymmetricExponentialwhittle
Dependencies:BHnloptrRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compensator of a Hawkes process | compensator |
| Discretizes a Hawkes simulation | discrete |
| The power law distribution | dpowerlaw ppowerlaw qpowerlaw rpowerlaw |
| Exponential integral of imaginary argument | E1_imaginary |
| Incomplete gamma function of imaginary argument with arbitrary power | Etheta_imaginary |
| Reproduction kernels for the Hawkes processes | Exponential Gaussian Pareto1 Pareto2 Pareto3 PowerLaw SymmetricExponential |
| Simulation of a Hawkes process | hawkes |
| Simulation of a Hawkes process | hawkes_ogata |
| Incomplete gamma function of imaginary argument | inc_gamma_imag |
| Simulation of an inhomogeneous Poisson process by thinning | inhpois |
| Intensity of a Hawkes process | intensity |
| Fitting Hawkes processes from continuous data | mle |
| C++ abstract class for Hawkes processes | Model |
| Plot of a Hawkes process | plot.hawkes |
| Plot of a simulated Hawkes process | plot.hawkes_ogata |
| Plot of a simulated inhomogeneous Poisson process | plot.inhpois |
| Residuals of a Hawkes process | residuals |
| Fitting Hawkes processes from discrete data | whittle |
