selectMinimalModel: Selection of a minimal model by iteratively removing...
In molsysbio/STASNet: Fit and Simulate Model from Perturbation Data
Description
Usage
Arguments
Value
Author(s)
View source: R/model_manipulation.R
Description
Selection of a minimal model by iteratively removing insignificant links using the likelihood ratio test.
Usage
1
2
3
reduceModel(original_model, accuracy = 0.95)
selectMinimalModel(original_model, accuracy = 0.95, verbose = F)
Arguments
original_model
An MRAmodel object, as the one produced by createModel or importModel
accuracy
Probability threshold, the type I error for each link will be 1-accuracy. Multiple testing is not taken into account.
Value
An MRAmodel object of the reduced model with the data
Author(s)
Mathurin Dorel dorel@horus.ens.fr
Bertram Klinger bertram.klinger@charite.de
molsysbio/STASNet documentation built on May 29, 2019, 5:45 a.m.
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Description Usage Arguments Value Author(s)
View source: R/model_manipulation.R
Description
Selection of a minimal model by iteratively removing insignificant links using the likelihood ratio test.
Usage
1 2 3 | reduceModel(original_model, accuracy = 0.95)
selectMinimalModel(original_model, accuracy = 0.95, verbose = F)
|
Arguments
original_model |
An MRAmodel object, as the one produced by createModel or importModel |
accuracy |
Probability threshold, the type I error for each link will be 1-accuracy. Multiple testing is not taken into account. |
Value
An MRAmodel object of the reduced model with the data
Author(s)
Mathurin Dorel dorel@horus.ens.fr
Bertram Klinger bertram.klinger@charite.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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