Package: ppdiag 0.1.1.9000

ppdiag: Diagnosis and Visualizations Tools for Temporal Point Processes

A suite of diagnostic tools for univariate point processes. This includes tools for simulating and fitting both common and more complex temporal point processes. We also include functions to visualise these point processes and collect existing diagnostic tools of Brown et al. (2002) <doi:10.1162/08997660252741149> and Wu et al. (2021) <doi:10.1002/9781119821588.ch7>, which can be used to assess the fit of a chosen point process model.

Authors:Sally Sun [aut], Owen G. Ward [aut, cre], Jing Wu [aut], Xiaoxi Zhao [aut], Lihao Xiao [ctb], Tian Zheng [aut]

ppdiag_0.1.1.9000.tar.gz
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ppdiag_0.1.1.9000.tgz(r-4.5-any)ppdiag_0.1.1.9000.tgz(r-4.4-any)ppdiag_0.1.1.9000.tgz(r-4.3-any)
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ppdiag_0.1.1.9000.tgz(r-4.4-emscripten)ppdiag_0.1.1.9000.tgz(r-4.3-emscripten)
ppdiag.pdf |ppdiag.html✨
ppdiag/json (API)
NEWS

# Install 'ppdiag' in R:
install.packages('ppdiag', repos = c('https://owenward.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/owenward/ppdiag/issues

Pkgdown site:https://owenward.github.io

On CRAN:

Conda:

5.18 score 5 stars 15 scripts 140 downloads 17 exports 0 dependencies

Last updated 2 years agofrom:d0e3256b9c. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:drawHPIntensitydrawHPPIntensitydrawUniMMHPIntensitydrawUniMMPPIntensityfithpfithppintensityqqplotpp_compensatorpp_diagpp_hppp_hpppp_ksplotpp_mmhppp_mmpppp_qqexppp_residualpp_simulate

Dependencies:

ppdiag, diagnostic tools for temporal Point Processes

Sally Sun, Owen G. Ward, Xiaoxi Zhao, Jing Wu, Tian Zheng.

Rendered fromppdiag.Rmdusingknitr::rmarkdownon Mar 31 2025.

Last update: 2021-02-23
Started: 2020-10-08

Fitting Markov Modulated Point Process Models

Owen G. Ward.

Rendered fromfitting_markov_modulated.Rmdusingknitr::rmarkdownon Mar 31 2025.

Last update: 2021-02-19
Started: 2021-02-08