Description: Implements univariate polynomial operations in R

Description: Implements univariate polynomial operations in R, including
polynomial arithmetic, finding zeros, plotting, and some operations on
Author: Bill Venables, with contribution by Kurt Hornik and Georgi Boshnakov

Depends: R (>= 3.0.0), graphics, grDevices

Title: Pattern Oriented Modelling Information Criterion
Description: This package propose calculations of a non-parsimonious based information criterion to check the quality of simulations results of ABM/IBM or other non-linear rule-based models. The POMIC is based on the KL divergence and likelihood theory. This method is still under development and further work are needed for the incorporation of model complexity measurement in the information criterion.
Packaged: Fri May 30 15:46:52 2008; cyrilpiou

Packaged: Fri Aug 22 15:17:05 2008; Cyril

Description: This package propose calculations of an information
criterion 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

Description: This package propose calculations of an information criterion 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.

Authors@R: c(person("Cyril", "Piou", role = c("aut", "cre"), email = "piou.cyril@yahoo.fr"))
Description: 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.