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A Parallel Analysis with Polychoric Correlation Matrices
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Breiman and Cutlers Random Forests for Classification and Regression
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Explaining and Visualizing Random Forests in Terms of Variable Importance
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Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
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Tune Random Forests Based on Variable Importance & Plot Results
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Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
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Two-Sample Test in High Dimensions using Random Projection
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Random Uniform Forests for Classification, Regression and Unsupervised Learning
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Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic Approach
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Total, Between-, and Within-Cluster Spearman Rank Correlations for Clustered Data
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Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data
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Rank of Variables Based on Principal Component Analysis for Mixed Data Types
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Joint Statistical Models for Preference Learning with Rankings and Ratings
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Ensemble Models of Rank-Based Trees with Extracted Decision Rules
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A Fast and Light Package to Compute Polygenic Risk Scores
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Rapidly Estimates Phylogeny from Large Allele Frequency Data Using Root Distances Method
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Rapid Automatic Keyword Extraction (RAKE) Algorithm
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Representative and Adequate Prioritization Toolkit in R
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Combinatorial and Statistical Analyses of Rare Events
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