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.
Version: 0.1.1 Depends: R (≥ 3.5) Imports: graphics, stats Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, covr Published: 2021-08-12 DOI: 10.32614/CRAN.package.ppdiag Author: Sally Sun [aut], Owen G. Ward [aut, cre], Jing Wu [aut], Xiaoxi Zhao [aut], Lihao Xiao [ctb], Tian Zheng [aut] Maintainer: Owen G. Ward <owen.ward at columbia.edu> BugReports: https://github.com/OwenWard/ppdiag/issues License: MIT + file LICENSE URL: https://owenward.github.io/ppdiag/ NeedsCompilation: no Materials: README NEWS CRAN checks: ppdiag results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ppdiag to link to this page.
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