Science Research Weekly

Episode 26: Random Learning on the Short

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In this episode, I kept it short and sweet with a new statistical journal reference, data science job scraping, and random learning for R-packages.

References:

  • Generalized resilience and robust statistics
  • Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm
  • Generate random ID values for subjects in SAS
  • Linear Regression Equation Explained
  • An Example of Specifying Within-Subjects Factors in Repeated Measures
  • Designing Online Data Science Training for the Modern Age
  • Optimizing my search for Data scientist jobs by scraping Indeed with R
  • Seeking Inspiration from Random Learning

    • R-packages:

    1. BiOFI: Feature Identification Between Metabolome and Microbiome in Disease and Health
    2. glmmrBase: Specification of Generalised Linear Mixed Models
    3. REDCapTidieR: Extract 'REDCap' Databases into Tidy 'Tibble's
    4. verbaliseR: Make your Text Mighty Fine
    5. betaSandwich: Robust Confidence Intervals for Standardized Regression Coefficients
    6. DynForest: Random Forest with Multivariate Longitudinal Predictors
    7. roBTT: Robust Bayesian T-Test
    8. alqrfe: Adaptive Lasso Quantile Regression with Fixed Effects
    9. recurrentpseudo: Creates Pseudo-Observations and Analysis for Recurrent Event Data
    10. alkahest: Pre-Processing XY Data from Experimental Methods
      11. ...more
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      Science Research WeeklyBy Mark R Williamson