simSigma: Simulate variance-covariance matrix for morphological...
In thauffe/TraitGmyc: What the package does (short line)
Description
Usage
Arguments
Value
Author(s)
Description
This function generates a variance-covariance matrix for
morphological evolution, defining the rate at which traits evolve and their
evolutionary correlation.
Usage
1
Arguments
Ntraits
number of traits
Cor
correlation between traits. Default between -1 and 1.
Optional, can be fixed to be equal between all traits by giving one value or
Ntraits*(Ntraits-1)/2
Sigma2
Brownian motion rate. Default between 1e-4 and 0.2
Optional, can be fixed to be equal for all traits or one value per trait
Value
matrix Ntrait x Ntrait for simulating trait evolution
Author(s)
Torsten Hauffe
thauffe/TraitGmyc documentation built on July 4, 2021, 7:37 a.m.
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Description Usage Arguments Value Author(s)
Description
This function generates a variance-covariance matrix for morphological evolution, defining the rate at which traits evolve and their evolutionary correlation.
Usage
1 |
Arguments
Ntraits |
number of traits |
Cor |
correlation between traits. Default between -1 and 1. Optional, can be fixed to be equal between all traits by giving one value or Ntraits*(Ntraits-1)/2 |
Sigma2 |
Brownian motion rate. Default between 1e-4 and 0.2 Optional, can be fixed to be equal for all traits or one value per trait |
Value
matrix Ntrait x Ntrait for simulating trait evolution
Author(s)
Torsten Hauffe
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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