run_different_perturbations_noisy_with_replicates: Run the simulations and add noise to the data
In dlill/MRAr: Functions to do MRA with

Description Usage Arguments Value See Also

Run the simulations and add noise to the data

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run_different_perturbations_noisy_with_replicates(dose_pars, pars0,
  alpha_pars, alphas, perturbations, xs, p_log, p_pert, g, cores,
  alpha_par_settings, errorpars, N = 100, nreplicates = 3)

`dose_pars`	dosages eg setNames(1:10, "x1")
`pars0`	the "default" pars for the model
`alpha_pars`	The default alpha parameters e.g. c(a_tox_Cxy = log(.Machine$double.eps))
`alphas`	vector of values for the free pars a to compare r_0 against r_a
`perturbations`	list of sets of perturbations eg list(c(x1 = log(0.9), y1 = log(0.9)))
`xs`	xs
`p_log`	p_log
`p_pert`	p_pert
`g`	g
`cores`	detectFreeCores()
`alpha_par_settings`	named list. Entries are vectors of the names of aplha_pars you want to use for the algorithm e.g. list(upstream = c("a_tox_Cxy", "a_toy_Cyz"))
`errorpars`	list of vectors with absolute and relative errors: list(setting1 = c(sabs = 0, srel = 0.1))
`N`	number of realizations for each setting
`nreplicates`	number of replicates. normally distributed noise is assumed, replicates are averaged before starteing the algorithm