View source: R/DefaultModelTypes.R
PCMDefaultModelTypes | R Documentation |
Utility functions returning named character vector of the model class-names for the default model types used for PCM and MixedGaussian model construction.
PCMDefaultModelTypes()
MGPMDefaultModelTypes()
Both, PCMFDefaultModelTypes
and
MGPMDefaultModelTypes
return a character string vector with
named elements (A,B,C,D,E,F) defined as follows
(Mitov et al. 2019a):
BM (H = 0, diagonal \Sigma
): BM, uncorrelated traits.
BM (H = 0, symmetric \Sigma
): BM, correlated traits.
OU (diagonal H, diagonal \Sigma
): OU, uncorrelated traits.
OU (diagonal H, symmetric \Sigma
): OU, correlated traits, but simple
(diagonal) selection strength matrix.
OU (symmetric H, symmetric \Sigma
): An OU with nondiagonal symmetric H
and nondiagonal symmetric \Sigma
.
OU (asymmetric H, symmetric \Sigma
): An OU with nondiagonal asymmetric
H and nondiagonal symmetric \Sigma
.
The only difference between the two functions is that the model
types returned by PCMFDefaultModelTypes
have a global
parameter X0, while the model types returned by
MGPMFDefaultModelTypes
have an omitted parameter X0.
[Mitov et al. 2019a] Mitov, V., Bartoszek, K., & Stadler, T. (2019). Automatic generation of evolutionary hypotheses using mixed Gaussian phylogenetic models. Proceedings of the National Academy of Sciences of the United States of America, 35, 201813823. http://doi.org/10.1073/pnas.1813823116
Args_MixedGaussian_MGPMDefaultModelTypes
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