Science Research Weekly

Episode 17: Tidal Waves of R Packages

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In this episode, I pared down three important -omics data considerations, coded my way into wave of new R packages, boasted about the Big Book of R, and havered over the ‘dots’ package.

References:

  • Editorial: Statistical Data Science - Theory and Applications in Analyzing Omics Data
  • Introducing riskCommunicator: An R package to obtain interpretable effect estimates for public health
  • On the mixed Kibria–Lukman estimator for the linear regression model
  • Rejection Region (Critical Region) for Statistical Tests
  • Join rstudio::conf(2022) Virtually
  • ggdensity: A new R package for plotting high-density regions
  • R Color
  • Generalized Linear Models, Part I: The Logistic Model
  • Part 1 of 3: 300+ milestone for Big Book of R
  • Part 2 of 3: 300+ milestone for Big Book of R
  • Part 3 of 3: 300+ milestone for Big Book of R

    • R-packages:

    • htmcglm:  Hypothesis Testing for McGLMs
    • nextGenShinyApps:  Advanced Tools for Building the Next Generation of 'Shiny' Applications and Dashboards
    • robustmeta:  Robust Inference for Meta-Analysis with Influential Outlying Studies
    • lnmCluster:  Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
    • binaryTimeSeries:  Analyzes a Binary Variable During a Time Series
    • codebookr:  Create Codebooks from Data Frames
    • dots:  Dot Density Maps
    • ggpackets:  Package Plot Layers for Easier Portability and Modularization
    • trouBBlme4SolveR:  Troubles Solver for 'lme4'
      • ...more
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      Science Research WeeklyBy Mark R Williamson