Find best order of the samples assuming some smooth GP prior on the expression profiles over this ordering.
find.smooth.tau(dl, psi = exp(dl$hyper$mu_psi),
omega = exp(dl$hyper$mu_omega), num.cores = default.num.cores(),
num.tau.to.try = num.cores, num.tau.to.keep = num.cores,
method = "metropolis", ...)
de.lorean object
Temporal variation
Noise
Number of cores to run on. Defaults to default.num.cores()
How many initialisations to try
How many initialisations to keep
Method to use "maximise" or "metropolis"
Extra arguments to method