simulate.smm: Simulates semi-Markov chains

In corentin-dev/smmR: Simulation, Estimation and Reliability of Semi-Markov Models

Simulates semi-Markov chains

Description

Simulates sequences from a semi-Markov model.

Usage

## S3 method for class 'smm'
simulate(object, nsim = 1, seed = NULL, ...)

Arguments

object	An object of S3 class smm (inheriting from the S3 class smmnonparametric or smmparametric).
nsim	An integer or vector of integers (for multiple sequences) specifying the length of the sequence(s).
seed	Optional. seed for the random number generator. If no seed is given, then seed is set by using the command ⁠set.seed(round(as.numeric(Sys.time()))⁠.
...	further arguments passed to or from other methods.

Details

If nsim is a single integer then a chain of that length is produced. If nsim is a vector of integers, then length(nsim) sequences are generated with respective lengths.

Value

A list of vectors representing the sequences.

References

V. S. Barbu, N. Limnios. (2008). Semi-Markov Chains and Hidden Semi-Markov Models Toward Applications - Their Use in Reliability and DNA Analysis. New York: Lecture Notes in Statistics, vol. 191, Springer.

See Also

smmparametric, smmnonparametric, fitsmm

corentin-dev/smmR documentation built on April 14, 2023, 11:36 p.m.