postProcessGamma: postProcessGamma
In lch14forever/BEEM: BEEM: Estimating Lotka-Volterra models from time-course microbiome sequencing data
postProcessGamma R Documentation
postProcessGamma
Description
Function to filter small perturbation effect. Small interaction is defined relative to the mean of the diagonal of the matrix
Usage
postProcessGamma(alpha, gamma, thre = 0.01)
Arguments
alpha
growth vector estimated with BLASSO
gamma
perterbation effect matrix estimated with BLASSO
thre
threshold used to remove small perturbation effect (default 1e-2 * self interactions)
lch14forever/BEEM documentation built on April 5, 2025, 11:24 p.m.
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| postProcessGamma | R Documentation |
postProcessGamma
Description
Function to filter small perturbation effect. Small interaction is defined relative to the mean of the diagonal of the matrix
Usage
postProcessGamma(alpha, gamma, thre = 0.01)
Arguments
alpha |
growth vector estimated with BLASSO |
gamma |
perterbation effect matrix estimated with BLASSO |
thre |
threshold used to remove small perturbation effect (default 1e-2 * self interactions) |
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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