Description

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