Pomic: Pattern Oriented Modelling Information Criterion

Calculations of an information criterion are proposed to check the quality of simulations results of ABM/IBM or other non-linear rule-based models. The POMDEV measure is based on the KL 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 can be calculated. This method is still under development and further work are needed for the incorporation of multiple patterns assessment.

Version: 1.0.3
Depends: stats
Published: 2016-05-20
Author: Cyril Piou [aut, cre]
Maintainer: Cyril Piou <piou.cyril at yahoo.fr>
License: GPL-2
NeedsCompilation: no
Citation: Pomic citation info
Materials: NEWS
CRAN checks: Pomic results

Downloads:

Reference manual: Pomic.pdf
Package source: Pomic_1.0.3.tar.gz
Windows binaries: r-devel: Pomic_1.0.3.zip, r-release: Pomic_1.0.3.zip, r-oldrel: Pomic_1.0.3.zip
OS X El Capitan binaries: r-release: Pomic_1.0.3.tgz
OS X Mavericks binaries: r-oldrel: Pomic_1.0.3.tgz
Old sources: Pomic archive

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