Sensitivity: Compute a matrix of sensitivities
In ashander/matrixmodels: Tools for analysis of matrix population (models)
Description
Usage
Arguments
Details
Examples
Description
Compute a matrix of sensitivities
Usage
1
Sensitivity(A)
Arguments
A
projection matrix for population model x(t+1) =
A x(t)
Details
The sensitivity is defined as the change in dominant
eigenvalue, i.e., the growth rate, with changes in an
entry in matrix A. See Caswell 2001.
Examples
1
2
A = matrix(c(0,1,.5,0), nrow=2)
Sensitivity(A)
ashander/matrixmodels documentation built on May 12, 2019, 4:40 a.m.
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Description Usage Arguments Details Examples
Description
Compute a matrix of sensitivities
Usage
1 | Sensitivity(A)
|
Arguments
A |
projection matrix for population model x(t+1) = A x(t) |
Details
The sensitivity is defined as the change in dominant eigenvalue, i.e., the growth rate, with changes in an entry in matrix A. See Caswell 2001.
Examples
1 2 | A = matrix(c(0,1,.5,0), nrow=2)
Sensitivity(A)
|
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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