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uligges
klaR:Classification and Visualization
Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clustering for categorical data, corclust() variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing.
Maintained by Uwe Ligges. Last updated 1 years ago.
5 stars 7.61 score 1.4k scripts 13 dependents
ralmond
RNetica:R interface to Netica(R) Bayesian Network Engine
This provides an R interface to the Netica (http://norsys.com/) Bayesian network library API.
Maintained by Russell Almond. Last updated 3 months ago.
2 stars 4.92 score 14 scripts 2 dependents
cran
woe:Computes Weight of Evidence and Information Values
Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.
Maintained by Sudarson Mothilal Thoppay. Last updated 10 years ago.
1 stars 1.00 score