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Pomic  

Pattern Oriented Modelling Information Criterion
View on CRAN: Click here


Download and install Pomic package within the R console
Install from CRAN:
install.packages("Pomic")

Install from Github:
library("remotes")
install_github("cran/Pomic")

Install by package version:
library("remotes")
install_version("Pomic", "1.0.4")



Attach the package and use:
library("Pomic")
Maintained by
Cyril Piou
[Scholar Profile | Author Map]
First Published: 2008-06-01
Latest Update: 2018-02-12
Description:
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) .
How to cite:
Cyril Piou (2008). Pomic: Pattern Oriented Modelling Information Criterion. R package version 1.0.4, https://cran.r-project.org/web/packages/Pomic. Accessed 07 May. 2025.
Previous versions and publish date:
0.9.0 (2008-06-01 20:55), 0.9.1 (2008-08-22 15:33), 0.9.2 (2009-04-22 18:01), 1.0.1 (2012-10-29 08:57), 1.0.2 (2014-01-31 14:55), 1.0.3 (2016-05-20 22:36)
Other packages that cited Pomic R package
View Pomic citation profile
Other R packages that Pomic depends, imports, suggests or enhances
Complete documentation for Pomic
Functions, R codes and Examples using the Pomic R package
Some associated functions: Pomic-package . pomdev.extra . 
Some associated R codes: pomdev.extra.R .  Full Pomic package functions and examples
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