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Add references to DESCRIPTION and link to Master thesis
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DESCRIPTION

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Package: randomForestExplainer
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Title: Explaining and visualizing random forests in terms of variable importance
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Title: Explaining and Visualizing Random Forests in Terms of Variable Importance
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Version: 0.9
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Authors@R: c(
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person("Aleksandra", "Paluszynska", email = "[email protected]", role = c("aut", "cre")),
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person("Przemyslaw", "Biecek", email = "[email protected]", role = c("aut","ths"))
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)
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Description: A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria.
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Description: A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).
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Depends: R (>= 3.0)
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License: GPL
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Encoding: UTF-8

README.md

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# randomForestExplainer
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Set of tools to understand what is happening inside a Random Forest.
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Set of tools to understand what is happening inside a Random Forest. A detailed discussion of the package and importance measures it implements can be found here: [Master thesis on randomForestExplainer](https://rawgit.com/geneticsMiNIng/BlackBoxOpener/master/randomForestExplainer_Master_thesis.pdf).
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## Instalation
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