polyfitbayes: Bayesian Model Fitting with Polynomial Terms als Predictors...
In bdynsys: Bayesian Dynamical System Model
Description
polyfitbayes is a modeling function internally called in the code bdynsysbayesfac. 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 bdynsysbayesfac.
Author(s)
Viktoria Spaiser: viktoria.sp@web.de
bdynsys documentation built on May 2, 2019, 9:42 a.m.
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Description
polyfitbayes is a modeling function internally called in the code bdynsysbayesfac. 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 bdynsysbayesfac.
Author(s)
Viktoria Spaiser: viktoria.sp@web.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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