find_s_F: Find the relative amount of self-regulation needed to...
In franzikoch/Feedbackloops: Feedback loop analysis for competition networks
find_s_F R Documentation
Find the relative amount of self-regulation needed to fullfill Levins I
stability criterium
Description
Diagonal values are incrementally increases by a factor s until all total feedback
values (calculated via the coefficients of the characteristic polynomial).
This will not work, if the diagonal contains zeros.
Replace missing values before calculating s*!
Usage
find_s_F(Jacobian, step_size = 0.01, max_s = 1000)
Arguments
Jacobian
A Jacobian matrix
step_size
Amount by which s is increases in each step
max_s
Maximum possible s value. If the matrix is still not stable, NA is returned
franzikoch/Feedbackloops documentation built on July 1, 2023, 12:42 p.m.
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| find_s_F | R Documentation |
Find the relative amount of self-regulation needed to fullfill Levins I stability criterium
Description
Diagonal values are incrementally increases by a factor s until all total feedback values (calculated via the coefficients of the characteristic polynomial). This will not work, if the diagonal contains zeros. Replace missing values before calculating s*!
Usage
find_s_F(Jacobian, step_size = 0.01, max_s = 1000)
Arguments
Jacobian |
A Jacobian matrix |
step_size |
Amount by which s is increases in each step |
max_s |
Maximum possible s value. If the matrix is still not stable, NA is returned |
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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