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Moreover, it is straightforward to include an isopotential soma in the Laplace-domain series solution.
Additionally, it is straightforward to include radial variation of hydraulic parameters, which is useful to simulate the effect of a finite-thickness well skin.
It is straightforward to include an incubation period [43] and, given data on the duration of these periods on a case by case basis, these issues can be addressed by including additional Bayesian estimation steps (see [32]).
Fifth, it is straightforward to include study level covariates.
In those probabilistic frameworks, it is straightforward to include correlations between parameters.
In the future, it is straightforward to include introns and UTR sequences for more accurate or higher resolution typing when such data become more complete.
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Owing to the flexibility of Bayesian hierarchical modeling, it might be straightforward to include additional levels in models 1 and 2 to incorporate prior information on relationships among the populations surveyed.
For example, it would be straightforward to include hypothetical interventions that investigate different dietary regimes and also include the effects of variations in physical activity.
Since the random walks algorithm we used here can incorporate network directionality, it will be straightforward to include this information in future analyses when sufficient coverage can be obtained with directed networks.
When surveillance data in websites are generated from back-end databases it should be straightforward to include raw data export functions for standard formats such as Comma Separated Values (CSV) or Extensible Markup Language (XML) format.
Thus, it is straightforward to also include variable population size in the coalescent simply by using the hazard rate.
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