Pomic: Pattern Oriented Modelling Information Criterion

Calculations of an information criterion are proposed to check the quality of simulations results of Agent-based models (ABM/IBM) or other non-linear rule-based models. The POMDEV measure (Pattern Oriented Modelling DEViance) is based on the Kullback-Leibler divergence and likelihood theory. It basically indicates the deviance of simulation results from field observations. Once POMDEV scores and metropolis-hasting sampling on different model versions are effectuated, POMIC scores (Pattern Oriented Modelling Information Criterion) can be calculated. This method could be further developed to incorporate multiple patterns assessment. Piou C, U Berger and V Grimm (2009) <doi:10.1016/j.ecolmodel.2009.05.003>.

Package details

AuthorCyril Piou [aut, cre]
MaintainerCyril Piou <[email protected]>
LicenseGPL-2
Version1.0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Pomic")

Try the Pomic package in your browser

Any scripts or data that you put into this service are public.

Pomic documentation built on Feb. 13, 2018, 1:03 a.m.