Science Research Weekly

Episode 30: The GitHub Secret Sauce

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In this episode, I spilled the secret sauce behind my research methods, predicted extreme events, pursued plots off the beaten ggplot path, and added another simulation-based power analysis tool to my belt.

References:

  • Statistics Weekly Research GitHub Repository
  • Flexible time-to-event models for double-interval-censored infectious disease data with clearance of the infection as a competing risk
  • Predicting the data structure prior to extreme events from passive observables using echo state network
  • SCpubr: Generate high quality, publication-ready plots of single-cell transcriptomics data
  • Concordances
  • the difference between chi square tests of independence and homogeneity
  • How to create a ggalluvial plot in R?
  • How to create a Sankey plot in R?
  • Understanding the Basics of Package Writing in R


    • R-packages:

    • VIGoR: Variational Bayesian Inference for Genome-Wide Regression
    • ggstats: Extension to 'ggplot2' for Plotting Stats
    • mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
    • ARIMAANN: Time Series Forecasting using ARIMA-ANN Hybrid Model
    • makeunique: Make Character Strings Unique
      • ...more
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      Science Research WeeklyBy Mark R Williamson