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 |
| 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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