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Estimating Regularized Multi-state Models Using L1 Penalties
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Variable Selection in PH Cure Model with Time-Varying Covariates
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Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression
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Data Sets for Craig Starbuck's Book, "The Fundamentals of People Analytics: With Applications in R"
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Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
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Tests of Equal Predictive Accuracy for Panels of Forecasts
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Bayesian Variable Selection using Power-Expected-Posterior Prior
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A Versatile Toolkit for Peptide Mapping, Visualization, and Comparative Exploration
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Piecewise Exponential Distribution with Random Time Grids
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Calculate Indices and Theoretical Physicochemical Properties of Protein Sequences
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A Toolkit for Using Peptide Sequences in Machine Learning
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Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network
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Estimate Percentiles from an Ordered Categorical Variable
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Performance Measures for Ranking and Classification Tasks
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Econometric Tools for Performance and Risk Analysis
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An Infra-Structure for Performance Estimation of Predictive Models
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Enterprise Streamlined 'Shiny' Application Framework
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Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
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Predicting Environmental Concentration and Risk
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Permutational Algorithm to Simulate Survival Data
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Multivariate Analysis of Variance Based on Distances and Permutations
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Chacko Test for Order-Restriction with Permutation
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Permutational Group Sequential Test for Time-to-Event Data
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A Permutation Based Test for Biomarker Discovery in Microbiome Data
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Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
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The Symmetric Group: Permutations of a Finite Set
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Functions for Generating Restricted Permutations of Data
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Run Permutation Tests and Construct Associated Confidence Intervals
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A Coding Assistant using Perplexity's Large Language Models
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Fitting Periodic Coefficients Linear Regression Models
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Resampling-Based Prediction Error Estimation for Regression Models
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Examples for Integrating Prediction Error Estimation into Regression Models
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Personalized Diagnostics Rules for Subgroup Identification and Personalized Biomarker Discovery
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Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
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Two-Part Estimation of Treatment Rules for Semi-Continuous Data
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Reviewed Official Classification of Endangered Wild Flora Species in Peru
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A Tidy API for Sequence Iteration and Set Comprehension
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Automatic Estimation of Number of Principal Components in PCA
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Estimators for Two-Sample Capture-Recapture Studies
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Reproducible Retrieval of Pew Research Center Datasets
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Independent Components Analysis Techniques for Functional Data
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Power Garima-Generalized Extreme Value Distribution
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Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes
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Spatial Analysis and Data Mining for Field Ecologists
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Parametrically Guided Kernel Density Estimator for Spherical Data
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