MRAmodel: Constructor for MRAmodel objects
In molsysbio/STASNet: Fit and Simulate Model from Perturbation Data

Description Usage Arguments Value Author(s) See Also

Construct an MRAmodel objects, which contains all the informations recquired to simulate the model, and the data used to build it. The model is built using perturbation datas and an input network.

MRAmodel(model, design, structure, basal = matrix(), data = matrix(),
  cv = matrix(), parameters = vector(), bestfit = NA, name = "",
  infos = c(), param_range = list(), lower_values = c(),
  upper_values = c(), unused_perturbations = c(),
  unused_readouts = c(), min_cv = 0.1, default_cv = 0.3)

`model`	An object of class Model
`design`	An object of class ExperimentalDesign
`structure`	An object of class ModelStructure
`basal`	A matrix describing the basal activity of the nodes in the network
`data`	An object of class Data
`cv`	A matrix containing the coefficient of variation of the data used to build the model
`parameters`	A vector containing the values of the parameters of the model
`bestfit`	The residual chi-2 value associated with the best fit
`name`	Name of the model
`infos`	Extra information on the model
`param_range`	Alternative parameters sets for the model
`lower_values`	Lower bound on the values of the parameters
`upper_values`	Upper bound on the values of the parameters
`unused_perturbations`	Perturbations from the data file that have not been used for the fitting
`unused_readouts`	Readouts from the data file that have not been used for the fitting