gentime: Generating Irregularly spaced times

In iAR: Irregularly Observed Autoregressive Models

Generating Irregularly spaced times

Description

A method for generating time points based on a statistical distribution. The results are stored in the 'times' slot of the 'utilities' object.

Usage

gentime(x = NULL, ...)

Arguments

x

An object of class 'utilities', or 'NULL' (the default). When 'x' is 'NULL' or omitted, the 'utilities' object is created internally, so 'gentime(n = 200)' is equivalent to the three-step pattern 'o <- utilities(); o <- gentime(o, n = 200); o'.

...

Additional arguments for generating time points: n A positive integer. Length of observation times. distribution A character string specifying the distribution of the observation times. Default is '"expmixture"'. Available options are: - '"expmixture"': A mixture of two exponential distributions. - '"uniform"': A uniform distribution. - '"exponential"': A single exponential distribution. - '"gamma"': A gamma distribution. lambda1 Mean (1/rate) of the exponential distribution or the first exponential distribution in a mixture of exponential distributions. Default is '130'. lambda2 Mean (1/rate) of the second exponential distribution in a mixture of exponential distributions. Default is '6.5'. p1 Weight of the first exponential distribution in a mixture of exponential distributions. Default is '0.15'. p2 Weight of the second exponential distribution in a mixture of exponential distributions. Default is '0.85'. a Shape parameter of a gamma distribution or lower limit of the uniform distribution. Default is '0'. b Scale parameter of a gamma distribution or upper limit of the uniform distribution. Default is '1'.

Value

An updated 'utilities' object with the generated observation times stored in the 'times' slot.

References

\insertRef

Eyheramendy_2018iAR

Examples

set.seed(12917)
st=gentime(n=200, distribution = "expmixture", lambda1 = 130,
lambda2 = 6.5, p1 = 0.15, p2 = 0.85)@times
mean(diff(st))

st=gentime(n=200, distribution = "expmixture", lambda1 = 15,
lambda2 = 2.5, p1 = 0.15, p2 = 0.85)@times
mean(diff(st))

iAR documentation built on Oct. 27, 2026, 5:11 p.m.