mppa-package: Statistics for analysing multiple simultaneous point...

In mppa: Statistics for analysing multiple simultaneous point processes on the real line

Description

A procedure to test for dependence between point processes on the real line, e.g. causal dependence, correlation, inhibition or anti-correlation. The package also provides a number of utilities for plotting simultaneous point processes, and combining p-values.

Details

Package:	mppa
Type:	Package
Version:	1.0
Date:	2014-08-16
License:	GPL (>= 2)
Depends:	methods

corrtest: testing for dependence between point processes (can be causal dependence, correlation, inhibition or anti-correlation).

mproc: a class for plotting multiple simultaneous point processes.

TMT.test, F.test, simes.test: methods for combining p-values.

Author(s)

Patrick Rubin-Delanchy <patrick.rubin-delanchy> and Nicholas Heard <[e-mail]>

Maintainer: Patrick Rubin-Delanchy <[e-mail]>

References

Patrick Rubin-Delanchy and Nicholas A Heard. “A test for dependence between two point processes on the real line”. arXiv:1408.3845.

Examples

A = runif(20)
B=runif(20)
##around ten B events are caused by A 
B=c(B, sample(A, 10)+abs(rnorm(10, 0,.01))); B = B[B>0&B<1]
## Not run: plot(mp(list(A=A,B=B)))
corrtest(A,B)

mppa documentation built on May 2, 2019, 2:48 a.m.