ML investigation of character state transition suggested that a single rate model was not significantly worse than a two rate model (0.09 log unit difference).
For feeding diet evolution, we compared the fit of a two rate model (asymmetric model) to the fit of a single rate model (mk1) model and using the preferred model, we reconstructed ancestral states for several nodes of interest.
The kinetic data were modeled using two rate models based on Langmuir Hinshelwood kinetics, assuming the reaction of dissociatively adsorbed hydrogen and nitrile compound as rate-limiting step.
In order to investigate whether the TDRP can explain this discrepancy or not, we used our four rate models to recover the short-term and long-term rate estimates of FVs.
This analysis identified that a three rate class model had a significantly better fit than other models (see Methods).
RAxML has three rate heterogeneity models (including the Gamma distribution) but only one parameter-rich model (GTR) for nucleotide analysis, although the model parameters can be estimated separately for each CP.
We fit two candidate rate-constant models, pure-birth (yule process) and birth-death (birth and extinction), and three rate variable models (density dependent exponential, density dependent logistic, and Yule two-rate) to the vector of branching times obtained from the CA Heroine chronogram.
Three FCG rate models, namely Collipriest, Priddle, and modified Forman were examined.
The kinetics was modelled with an empirical power-law rate expression and with three mechanistic rate models.
Figure 2 shows the end result at 2020 just 5 years from now—and 2030 per the two growth rate models.
Table 5 Selected results from four hazard rate models of ending employment after returning to work.
