fundamental: Estimate which intervals are fundamental

In intRvals: Analysis of Time-Ordered Event Data with Missed Observations

Estimate which intervals are fundamental

Description

Estimates which intervals in a dataset are fundamental intervals, i.e. an interval not containing a missed arrival observation

Usage

fundamental(x, conf.level = 0.9)

Arguments

x	object inheriting from class intRvals, usually a result of a call to estinterval
conf.level	confidence level for identifying intervals as fundamental

Details

This functions thus determines for each interval x$data whether it has a probabiliy > conf.level to be a fundamental interval, given the model fit generated by estinterval for object x.

The fit of an intRvals object gives the decomposition of the likelihood of an interval observation into partial likelihoods φ_{obs}(x,i | μ, σ, p) (see intervalpdf). If the amplitude of the partial likelihood with i=0 (i.e. the likelihood component without missed observations) is at least a proportion conf.level of the sum of all terms i=0..N, an interval is considered to be fundamental (not containing a missed event observation).

Value

logical atomic vector of the same length as x$data

intRvals documentation built on May 3, 2022, 1:07 a.m.