LognormalParam: Parameterize a Lotka-Volterra system given an adjacency...
In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates
Description
Usage
Arguments
Value
Examples
Description
Parameterize an adjacency matrix with interaction strengths and
equilibrium abundances. Interaction strengths and abundances are drawn from a
lognormal distribution truncated 5 standard deviations above the
mean.
Usage
1
LognormalParam(Adj, Immigration = TRUE)
Arguments
Adj
An adjacency matrix
Immigration
A flag for whether we are parameterizing a system with
immigration or a closed system. Defaults to TRUE.
Value
a list with elements Mat (a matrix of interaction strengths) and
Pop (a vector of equilibrium population sizes).
Examples
1
2
mat <- BuildCascade()
LognormalParam(mat)
esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.
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Description Usage Arguments Value Examples
Description
Parameterize an adjacency matrix with interaction strengths and equilibrium abundances. Interaction strengths and abundances are drawn from a lognormal distribution truncated 5 standard deviations above the mean.
Usage
1 | LognormalParam(Adj, Immigration = TRUE)
|
Arguments
Adj |
An adjacency matrix |
Immigration |
A flag for whether we are parameterizing a system with immigration or a closed system. Defaults to TRUE. |
Value
a list with elements Mat (a matrix of interaction strengths) and Pop (a vector of equilibrium population sizes).
Examples
1 2 | mat <- BuildCascade()
LognormalParam(mat)
|
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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