Knowledge Discovery by Accuracy Maximization

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Documentation for package ‘KODAMA’ version 2.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

categorical.test	Categorical Information
clinical	Clinical Data of a Cohort of Prostate Cancer Patiens
continuous.test	Continuous Information
core_cpp	Maximization of Cross-Validateed Accuracy Methods
correlation.test	Continuous Information
dinisurface	Ulisse Dini Data Set Generator
floyd	Find Shortest Paths Between All Nodes in a Graph
frequency_matching	Frequency Matching
helicoid	Helicoid Data Set Generator
k.test	K-Test of Statistical Association
knn.double.cv	Cross-Validation with k-Nearest Neighbors algorithm.
knn.kodama	k-Nearest Neighbors Classifier.
KODAMA.matrix	Knowledge Discovery by Accuracy Maximization
KODAMA.visualization	Visualization of KODAMA output
loads	Variable Ranking
lymphoma	Lymphoma Gene Expression Dataset
mcplot	Evaluation of the Monte Carlo accuracy results
MetRef	Nuclear Magnetic Resonance Spectra of Urine Samples
multi_analysis	Continuous Information
normalization	Normalization Methods
pca	Principal Components Analysis
pls.double.cv	Cross-Validation with PLS-DA.
pls.kodama	Partial Least Squares regression.
scaling	Scaling Methods
spirals	Spirals Data Set Generator
swissroll	Swiss Roll Data Set Generator
transformy	Conversion Classification Vector to Matrix
txtsummary	Median and Coefficient Interval
USA	State of the Union Data Set