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Reference Limit Estimation Using Routine Laboratory Data
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Work with Refreshable Datasets that Update their Data Automatically
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Streamlined Integration of Regression Assumption
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Tools for an Introductory Class in Regression and Modeling
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Easy Linear, Quadratic and Cubic Regression Models
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Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results
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Information Preserving Regression-Based Tools for Statistical Disclosure Control
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Functions for Mapping Key-Value Pairs, Many-to-Many, One-to-Many, and Many-to-One Relations
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Regularized Multivariate Functional Principal Component Analysis
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Robust Expectation-Maximization Estimation for Latent Variable Models
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Computes Statistics for Relational Event History Data