pseudo.pred.norm: Generate a pseudo predator parametrically from multivariate...
In QFASA: Quantitative Fatty Acid Signature Analysis
View source: R/All_MUFASA_Code.R
pseudo.pred.norm R Documentation
Generate a pseudo predator parametrically from multivariate normal
distributions.
Description
Generate a pseudo predator parametrically from multivariate normal
distributions.
Usage
pseudo.pred.norm(mu.mat, sigma.pool, diet)
Arguments
mu.mat
matrix where each row represents the mean transformed FA
signature of each prey type
sigma.pool
pooled variance-covariance matrix of the transformed
fatty acid signatures of prey types
diet
the "true" or "desired" diet of the pseudo predator with prey
species in the same order as the rows of mu.mat. A compositional vector of
proportions that sums to one with length equal to
the number of prey species.
Details
Similar to pseudo.pred but instead generates the
pseudo-predators parametrically by assuming ilr transformed FA signatures
have a multivariate normal distribution.
Value
A simulated predator FA signature. See pseudo.pred for an
example illustrating how to generate a sample of pseudo predators.
QFASA documentation built on Nov. 17, 2023, 1:08 a.m.
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View source: R/All_MUFASA_Code.R
| pseudo.pred.norm | R Documentation |
Generate a pseudo predator parametrically from multivariate normal distributions.
Description
Generate a pseudo predator parametrically from multivariate normal distributions.
Usage
pseudo.pred.norm(mu.mat, sigma.pool, diet)
Arguments
mu.mat |
matrix where each row represents the mean transformed FA signature of each prey type |
sigma.pool |
pooled variance-covariance matrix of the transformed fatty acid signatures of prey types |
diet |
the "true" or "desired" diet of the pseudo predator with prey species in the same order as the rows of mu.mat. A compositional vector of proportions that sums to one with length equal to the number of prey species. |
Details
Similar to pseudo.pred but instead generates the pseudo-predators parametrically by assuming ilr transformed FA signatures have a multivariate normal distribution.
Value
A simulated predator FA signature. See pseudo.pred for an example illustrating how to generate a sample of pseudo predators.
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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