An R Library For Validation Of Simulation Models
CIENCIA E INGENIERIA(2011)
摘要
Validation is an important phase in simulation that helps to evaluate models quality. Specifically, in continuous simulation models, real data and models results are compared. In this paper we present a library of methods to validate continuous simulation models that facilitate this task. We included several of the most used models validation techniques: from simple index such as mean squared error and its variants (Theil statistics, model efficiency, etc.) to classical statistical methods (model vs data regressions, paired t-test and others). We also included Bayesian statistical methods and information criteria methods that allow choosing between different models. The library includes several data frames, help and a manual for better understanding of the techniques and its application. The library was developed in R language and is available.
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关键词
R libraries, validation, simulation
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