gls.ancova: pGLS model comparison using phylogenetic analysis of...
In JeroenSmaers/evomap: Evomap
Description
Usage
Arguments
Value
References
Examples
Description
Computes F-ratio test of GLS models that include different sets of indicator variables.
Usage
1
gls.ancova(form, Sigma, ReducedModel, FullModel)
Arguments
form
Model formula.
Sigma
Matrix describing the covariance among data points. For the phylogenetic regression, this is based on a phylogeny (vcv(tree)).
ReducedModel
The GLS model that includes the fewest indicator variables.
FullModel
The GLS model that includes the fewest indicator variables.
Value
Anova table.
References
Smaers & Rohlf (2016) Testing species' deviations from allometric preductions using the phylogenetic regression. Evolution. 70 (5): 1145-1149.
Examples
1
see https://smaerslab.com/software/
JeroenSmaers/evomap documentation built on May 7, 2019, 10:35 a.m.
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Description Usage Arguments Value References Examples
Description
Computes F-ratio test of GLS models that include different sets of indicator variables.
Usage
1 | gls.ancova(form, Sigma, ReducedModel, FullModel)
|
Arguments
form |
Model formula. |
Sigma |
Matrix describing the covariance among data points. For the phylogenetic regression, this is based on a phylogeny (vcv(tree)). |
ReducedModel |
The GLS model that includes the fewest indicator variables. |
FullModel |
The GLS model that includes the fewest indicator variables. |
Value
Anova table.
References
Smaers & Rohlf (2016) Testing species' deviations from allometric preductions using the phylogenetic regression. Evolution. 70 (5): 1145-1149.
Examples
1 | see https://smaerslab.com/software/
|
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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