iAR (version 1.3.2)

gentime: 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, ...)

Value

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

Arguments

x

An object of class `utilities`.

...

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`.

References

Eyheramendy_2018iAR

Examples

set.seed(12917)
o1=iAR::utilities()
o1<-gentime(o1, n=200, distribution = "expmixture", lambda1 = 130, 
lambda2 = 6.5,p1 = 0.15, p2 = 0.85)
st=o1@times
mean(diff(st))

o1=iAR::utilities()
o1<-gentime(o1, n=200, distribution = "expmixture", lambda1 = 15, 
lambda2 = 2.5,p1 = 0.15, p2 = 0.85)
st=o1@times
mean(diff(st))