summary.intRvals: summary method for class 'intRvals'

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

summary method for class intRvals

Description

summary method for class intRvals

Usage

## S3 method for class 'intRvals'
summary(object, ...)

Arguments

object	An object of class intRvals, usually a result of a call to estinterval
...	further arguments passed to or from other methods.

Value

The function summary.intRvals computes and returns a list of summary statistics

data

the interval data

mu

the modelled mean interval

mu.se

the modelled mean interval standard error

sigma

the modelled interval standard deviation

p

the modelled probability to not observe an arrival

fpp

the modelled fraction of arrivals following a random poisson process, see intervalpdf

N

the highest number of consecutive missed arrivals taken into account, see intervalpdf

convergence

convergence field of optim

counts

counts field of optim

loglik

vector of length 2, with first element the log-likelihood of the fitted model, and second element the log-likelihood of the model without a missed event probability (i.e. p=0)

df.residual

degrees of freedom, a 2-vector (1, number of intervals - n.param)

n.param

number of optimized model parameters

distribution

assumed interval distribution, one of 'gamma' or 'normal'

trunc

interval range over which the interval pdf was truncated and normalized

fpp.method

A string equal to 'fixed' or 'auto'. When 'auto' fpp has been optimized as a free model parameter. When 'fixed' the model is fitted with a fixed value set by parameter fpp

deviance

deviance between the fitted model and a model without a missed event probability (i.e. p=0)

p.value

numeric vector with two elements. First element contains the p.value for a likelihood ratio (deviance) test between the fitted model and a model without a missed event probability (i.e. p=0). Second element contains the p.value for a likelihood ratio (deviance) test between the fitted model and a saturated null model.

Examples

data(goosedrop)
dr=estinterval(goosedrop$interval)
summary(dr)

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