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.

Author
Cyril Piou [aut, cre]
Date of publication
2016-05-20 22:36:55
Maintainer
Cyril Piou <piou.cyril@yahoo.fr>
License
GPL-2
Version
1.0.3

View on CRAN

Man pages

pomdev.extra
POMDEV calculation for numerical patterns as well as other...
Pomic-package
Pattern Oriented Modeling Information Criterion for ABM/IBM

Files in this package

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