| simulate {drimmR} | R Documentation |
Simulate a sequence under a drifting Markov model
Description
Generic function simulating a sequence of length model_size under a model x
Usage
simulate(x, output_file, model_size = 1e+05, ncpu = 2)
Arguments
x |
An object for which simulated sequences of the DMM can be computed. |
output_file |
(Optional) File containing the simulated sequence (e.g, "C:/.../SIM.txt") |
model_size |
Size of the model |
ncpu |
Default=2. Represents the number of cores used to parallelized computation. If ncpu=-1, then it uses all available cores. |
Value
the vector of simulated sequence
Author(s)
Annthomy Gilles, Alexandre Seiller
References
Barbu VS, Vergne N (2018). “Reliability and survival analysis for drifting Markov models: modelling and estimation.” Methodology and Computing in Applied Probability, 1–33. doi: 10.1007/s11009-018-9682-8, https://doi.org/10.1007/s11009-018-9682-8. Vergne N (2008). “Drifting Markov models with polynomial drift and applications to DNA sequences.” Statistical Applications in Genetics Molecular Biology , 7(1) . doi: 10.2202/1544-6115.1326, https://doi.org/10.2202/1544-6115.1326.