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.

Install the latest version of this package by entering the following in R:
install.packages("Pomic")
AuthorCyril Piou [aut, cre]
Date of publication2016-05-20 22:36:55
MaintainerCyril Piou <piou.cyril@yahoo.fr>
LicenseGPL-2
Version1.0.3

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Files

COPYING
inst
inst/CITATION
NAMESPACE
demo
demo/demoPomic.r demo/verification.r
demo/00Index
NEWS
R
R/pomdev.corrected.r R/pomdev.ts.r R/pomdev.r R/pomdev.extra.R
MD5
DESCRIPTION
man
man/pomdev.ts.rd
man/pomdev.corrected.rd
man/pomdev.extra.Rd man/Pomic-package.Rd
man/pomdev.rd

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