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.

Version:	0.1.1
Depends:	R (≥ 3.5)
Imports:	graphics, stats
Suggests:	testthat (≥ 2.1.0), knitr, rmarkdown, covr
Published:	2021-08-12
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:

Reference manual:	ppdiag.pdf
Vignettes:	Fitting Markov Modulated Point Process Models 'ppdiag', diagnostic tools for temporal Point Processes

Downloads:

Package source:	ppdiag_0.1.1.tar.gz
Windows binaries:	r-devel: ppdiag_0.1.1.zip, r-release: ppdiag_0.1.1.zip, r-oldrel: ppdiag_0.1.1.zip
macOS binaries:	r-release (arm64): ppdiag_0.1.1.tgz, r-oldrel (arm64): ppdiag_0.1.1.tgz, r-release (x86_64): ppdiag_0.1.1.tgz, r-oldrel (x86_64): ppdiag_0.1.1.tgz
Old sources:	ppdiag archive

Linking:

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