Package: mmpp 0.6

Hideitsu Hino

mmpp: Various Similarity and Distance Metrics for Marked Point Processes

Compute similarities and distances between marked point processes.

Authors:Hideitsu Hino, Ken Takano, Yuki Yoshikawa, and Noboru Murata

# Install 'mmpp' in R:

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

Datasets:

Miyagi20030626 - The aftershock data of 26th July 2003 earthquake of M6.2 at the northern Miyagi-Ken Japan

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

Last updated 7 years agofrom:0b09016e42. Checks:1 OK, 1 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 14 2025
R-4.5-linux	NOTE	Feb 14 2025

Dependencies:

Help page	Topics
A package for Computing Similarity and Distance Metrics for Marked Point Process Data	mmpp-package mmpp
Metrics for Point Process Realizations Based on Co-occurrence	coocmetric
Compute Filter-based Metrics in a Functional Space Between Marked Point Processes	fmetric
Compute Inter Event Interval-based Metric Between Marked Point Processes	ieimetric
Compute Intensity Inner Product Metrics	iipmetric
Convert Kernel Matrix to Distance Matrix	k2d
The aftershock data of 26th July 2003 earthquake of M6.2 at the northern Miyagi-Ken Japan	Miyagi20030626
Split MPP Data by Sliding Time Window	splitMPP