polyfitbayes


<code>polyfitbayes</code> is a modeling function internally called in the code <code>bdynsys</code>bayesfac. It computes the values for the independed variables, based on polynomial terms and a coefficient parameter space. The function then performs a Monte Carlo simulation to compute/integrate the log Bayes Factor. It returns internally the log Bayes factors for the best models and the modelindexes of those best models to <code>bdynsys</code>bayesfac.

The package bdynsys for panel/longitudinal data combines methods to model
changes in up to four indicators over times as a function of the indicators
themselves and up to three predictors using ordinary differential equations
(ODEs) with polynomial terms that allow to model complex and nonlinear
effects. A Bayesian model selection approach is implemented. The package
provides also visualisation tools to plot phase portraits of the dynamic
system, showing the complex co-evolution of two indicators over time with the
possibility to highlight trajectories for specified entities (e.g. countries,
individuals). Furthermore the visualisation tools allow for making
predictions of the trajectories of specified entities with respect to the
indicators.

polyfitbayes: Bayesian Model Fitting with Polynomial Terms als Predictors and Changes as Dependent Variable (Internal Function)

Description

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