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Q-Kernel-Based and Conditionally Negative Definite Kernel-Based Machine Learning Tools
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R Bindings to the Calendaring Functionality of 'QuantLib'
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Utility Sparse Matrix Functions for Quantitative Language Comparison
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Reinforcement Learning using the Q Learning Algorithm
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Statistical Transformations for Post-Processing Climate Model Output
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Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
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Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs
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Scales Score Calculation from Quality of Life Data
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Statistical Analysis of Count Data and Quantal Data
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Estimation of Ploidy and Detection of Aneuploidy Using Genotyping Data
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Quantitative Pest Risk Assessment at the Entry Step
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Self Calibrating Quantile-Quantile Plots for Visual Testing
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Nonlinear and Penalized Quantile Regression Coefficients Modeling
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Block Bootstrap Methods for Quantile Regression in Time Series
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Quantile Regression Model for Residual Lifetime Using an Induced Smoothing Approach
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Generate Machine- And Human-Readable Plot Labels for Experiments
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Provides R-Language Code to Examine Quantitative Risk Management Concepts
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Data Sets for Quantitative Risk Management Practice
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Quantile Regression for Nonlinear Mixed-Effects Models
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Quantile Treatment Effects under the Regression Discontinuity Design
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QTL Genome-Wide Composite Interval Mapping with Graphical User Interface
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Database Storage of Genotype Probabilities for QTL Mapping
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Densitometric Analysis of Thin-Layer Chromatography Plates
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Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
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Generate Raster Images from QuadKey-Identified Datasets
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Collection of Methods Constructed using Kernel-Based Quadratic Distances