2 years ago by Patrick Mair
A General Framework for Multivariate Analysis with Optimal Scaling
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Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
3 years ago by Grant Nguyen
Verbose Assertions for Tabular Data (Data.frames and Data.tables)
a year ago by Sam El-Kamand
Simple Assertions for Beautiful and Customisable Error Messages
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Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
a year ago by Alexandre Rubesam
Backtesting Simple Asset Allocation Strategies
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Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
10 months ago by Yuedong Wang
A Suite of R Functions Implementing Spline Smoothing Techniques
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Adaptive Subgroup Selection in Group Sequential Trials
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Implements New and Existing Association Indices for Constructing Animal Social Networks
a year ago by Damien Farine
Calculate the Assortativity Coefficient of Weighted and Binary Networks
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Astronomy: Time and Position Functions, Misc. Utilities
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Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Genetic Data
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Asymmetric Second Order Rotatable Designs (AsymmetricSORDs)
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Asymmetry Measures for Probability Density Functions
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A Simple R Package for Classical Parametric Statistical Tests and Confidence Intervals in Large Samples
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Estimate Asymptomatic Cases via Capture/Recapture Methods
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Coroutines: Generators / Yield, Async / Await, and Streams
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Regression Analysis of Sparse Asynchronous Longitudinal Data
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Automatic Time Series Analysis and Forecasting using the Ata Method
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Bounding Treatment Effects by Limited Information Pooling
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Average Treatment Effects with Measurement Error and Variable Selection for Confounders
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Download Air Quality and Meteorological Information of Chile
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Tools to Handle and Publish Metadata as 'Atom' XML Format
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Threshold Independent Performance Measures for Probabilistic Classifiers
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Standard Conform Pure Tone Audiometry (PTA) Plots
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Model Audit - Verification, Validation, and Error Analysis
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Automatic Dynamic Regression using Extreme Gradient Boosting
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Analysis of Augmented Randomised Complete Block Designs
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Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
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Area Under Minimum of False Positives and Negatives
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Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections
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Provides Datasets About Australian Politicians
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Automatic Variable Reduction Using Principal Component Analysis
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Learning to Rank Bagging Workflows with Metalearning
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Automated Covariate Selection Using HDPS Algorithm
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Automated Stacked Ensemble Classifier for Severe Class Imbalance
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Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations