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An 'SPSS' Syntax Generator for Multi-Variable Manipulation
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Synthetic Control Group Method for Comparative Case Studies
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Import, Assemble, and Deduplicate Bibliographic Datasets
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Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching
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Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
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Tools and Tests for Experiments with Partially Synthetic Data Sets
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Powerful and Reliable Tools for Running System Commands in R
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Systematic Quantification of AgNPs to Unleash their Potential for Applicability
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Systematic Scenario Selection for Stress Testing
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Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
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Write Formatted Tables in Excel Workbooks
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Build 'data.table' Expressions with Data Manipulation Verbs
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Make and Apply Customized Rounding Specifications for Tables
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Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights
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Presentation-Quality Tables, Displayed Using 'ggplot2'
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Create Satisficing 'Excel', 'HTML', 'LaTeX', and 'RTF' Tables using a Simple Formula
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Automatically Convert Hierarchical for-Human Tables to Machine-Readable LongForm Dataframes
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Fit 'TabNet' Models for Classification and Regression
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Analysis and Visualization of Archaeological Count Data
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User-Friendly Tables with Color Helpers for Data Exploration
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Positron Emission Tomography Time-Activity Curve Analysis
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New and Extended Plots, Methods, and Panel Functions for 'lattice'
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Transparent Assessment Framework for Reproducible Research
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Minimum Distance Estimation of Tail Dependence Models
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Estimate the Probability in the Upper Tail of the Aggregate Loss Distribution
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Estimators and Plots for Gamma and Pareto Tail Detection
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Symmetric Transformation of Tails for Plotting Differences
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Tool for Annotating Images in Preparation for Analysis
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Timing, Anatomical, Therapeutic and Chemical Based Medication Clustering
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A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types
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Flexible Tree Taper Curves Based on Semiparametric Mixed Models
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Trait Matching and Abundance for Predicting Bipartite Networks