Science Research Weekly

Episode 10: Multiple Last Names and Growing a Backbone

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In this episode, I chained together multiple scientific last names, found heaps of PLOS ONE journal articles, and learned how to grow a backbone in R using package ‘backbone’.

References:

  • Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R
  • More on Multidimensional Scaling and Unfolding in R: smacof Version 2
  • A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions, and Gauge Freedom
  • Rank-polyserial correlation. Quest for a "missing" coefficient of correlation
  • Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package
  • backbone: An R package to extract network backbones
  • Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data
  • Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
  • The interplay between ranking and communities in networks
  • Random assignment of subjects to groups in SAS
  • Using formatted CLASS variables
  • Python 3.11.0b2 is now available
  • shadowr: Selenium plugin to manage multiple levels of shadow elements on web page
  • Difference Between Standard Deviation and Standard Error
  • Clopper-Pearson Exact Method
  • Applications of Python | Top 10 uses of Python for The Real World
  • 15 Fun & Easy Excel Project Ideas To Sharpen Your Skills
  • 2022-01 Vectorised Pattern Fills in R Graphics
  • April: “Top 40” New CRAN Packages
  • R Packages Download Stats

    • R-packages:

    • AHSurv: Flexible Parametric Accelerated  Hazards Models
    • misPRIME: Partial Replacement Imputation Estimation for Missing Covariates
    • tracee: Easily Save Output and Trace it Back to Code
    • backbone: Extracts the Backbone from Graphs
      • ...more
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      Science Research WeeklyBy Mark R Williamson