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. (2020) <arXiv:2001.09359>, which can be used to assess the fit of a chosen point process model.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: graphics, stats
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, covr
Published: 2021-03-04
Author: Sally Sun [aut], Owen G. Ward ORCID iD [aut, cre], Jing Wu [aut], Xiaoxi Zhao [aut], Lihao Xiao [ctb], Tian Zheng [aut]
Maintainer: Owen G. Ward <owen.ward at columbia.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: ppdiag results


Reference manual: ppdiag.pdf
Vignettes: Fitting Markov Modulated Point Process Models
'ppdiag', diagnostic tools for temporal Point Processes
Package source: ppdiag_0.1.0.tar.gz
Windows binaries: r-devel: ppdiag_0.1.0.zip, r-release: ppdiag_0.1.0.zip, r-oldrel: ppdiag_0.1.0.zip
macOS binaries: r-release: ppdiag_0.1.0.tgz, r-oldrel: ppdiag_0.1.0.tgz


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