Author: Stefan Rass, Sandra Koenig, Ali Alshawish
Description: Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., König, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.

Imports: compare, orthopolynom, grImport2, Rglpk, purrr

Title: A Hybrid Filter-Wrapper Feature Selection Method
Authors@R: person("Yamini", "Pandari", email = "yamseee@gmail.com", role = c("aut", "cre"))
Description: A hybrid method of feature selection which combines both filter and wrapper methods. The first level involves feature reduction based on some of the important Filter methods while the second level involves feature subset selection as in a wrapper method. Experimental results show that this hybrid feature selection algorithm simplifies the feature selection process effectively and obtains higher classification accuracy, reduced processing time and improved data handling capacity than other feature selection algorithms.
Imports: FSelector, caTools, woeBinning, ROCR, InformationValue
Packaged: 2017-09-24 16:15:01 UTC; yamini.pandari