This cannot occur with a purely multiplicative model of frequency convergence, where stimulus intensity only modulates the overall gain.
An additional, more theoretical consideration is that even under an ideal model of adaptive convergence without phylogenetic signal, directional selection is expected to affect the assumption of constancy through time.
The Migrate-N run parameters were calibrated on the full model for convergence of the Markov chain Monte Carlo sampling method.
To investigate the behavior of tunnels in the presence of ground reinforcement, an analytical model of the convergence-confinement type is proposed.
While prior publications focused on the evaluation and reporting of assumptions made within the models, we evaluated additional model characteristics in depth including testing for model fit, evaluation of convergence, adjustment for covariates or multiarm trials, the specific priors used and availability of the code and aggregated study-level data.
Crude associations between potential determinants for seeking care for preterm babies were modeled using binomial regression analysis with generalized linear model, by using log link (or a poisson model in case of convergence failure) [ 27– 29].
Unlike prior reviews, we evaluated reporting of additional model characteristics in depth including testing for model fit, evaluation of convergence, adjustment for covariates or multiarm trials, the specific priors used and availability of the code and aggregated study-level data.
For k → ∞, the difference between a negative binomial and the alternative Poisson model dissolves because of convergence in distribution; therefore, AUC → 0.5 and both model alternatives approximate with respect to their forecasting ability.
This model showed problems of convergence whatever the Restricted Maximum Likelihood (REML) estimation algorithm used (combinations of options Average Information (AI), Parameter Expanded (PX) and Expectation Maximisation (EM) of the WOMBAT software [ 5]).
