PCMDefaultModelTypes {PCMBase} | R Documentation |
Class names for the the default PCM and MGPM model types
Description
Utility functions returning named character vector of the model class-names for the default model types used for PCM and MixedGaussian model construction.
Usage
PCMDefaultModelTypes()
MGPMDefaultModelTypes()
Value
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):
- A.
BM (H = 0, diagonal
\Sigma
): BM, uncorrelated traits.- B.
BM (H = 0, symmetric
\Sigma
): BM, correlated traits.- C.
OU (diagonal H, diagonal
\Sigma
): OU, uncorrelated traits.- D.
OU (diagonal H, symmetric
\Sigma
): OU, correlated traits, but simple (diagonal) selection strength matrix.- E.
OU (symmetric H, symmetric
\Sigma
): An OU with nondiagonal symmetric H and nondiagonal symmetric\Sigma
.- F.
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.
References
[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
See Also
Args_MixedGaussian_MGPMDefaultModelTypes