SAPP: Statistical Analysis of Point Processes

Package: SAPP 1.0.9-4

Yoshinori Kawasaki

Functions for statistical analysis of point processes.

Authors:Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]

# Install 'SAPP' in R:

install.packages('SAPP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:e4308e53a0. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	160
linux-devel-x86_64	OK	135
source / vignettes	OK	133
linux-release-arm64	OK	135
linux-release-x86_64	OK	127
wasm-release	OK	92

Dependencies:

A Guide to SAPP

Introduction | R functions in the SAPP package

Rendered fromSAPP.Rnwusingutils::Sweave

Help page	Topics
Statistical Analysis of Point Processes	SAPP-package SAPP
The Occurrence Times Data	Brastings
Maximum Likelihood Estimates of Intensity Rates	eptren
Residual Point Process of the ETAS Model	etarpp etarpp2
Maximum Likelihood Estimates of the ETAS Model	etasap
Simulation of Earthquake Dataset Based on the ETAS Model	etasim1 etasim2
Maximum Likelihood Estimates of Linear Intensity Models	linlin
Simulation of a Self-Exciting Point Process	linsim
The Aftershock Data	main2003JUL26
Maximum Likelihood Estimates of Parameters in the Omori-Utsu (Modified Omori) Formula	momori
Graphical Outputs for the Point Process Data Set	pgraph
Poisson Data	PoissonData
The Point Process Data	PProcess
The Periodogram of Point Process Data	ptspec
The Residual Point Process Data	res2003JUL26
The Residual Point Process of the ETAS Model	respoi respoi2
Self-Exciting Point Process Data	SelfExcit
Simulation of Bi-Variate Hawkes' Mutually Exciting Point Processes	simbvh

Help page

Topics

SAPP-package SAPP

Brastings

eptren

etarpp etarpp2

etasap