Science Research Weekly

Episode 20: The Count of Monte Carlo

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In this episode, I browsed yet more Monte Carlo simulation papers, introduced myself to various structural equation models, championed base R, and went neural to neural with the R package ‘cito’.

References:

  • A kernel mixing strategy for use in adaptive Markov chain Monte Carlo and stochastic optimization contexts
  • Bootstrap-based inferential improvements to the simplex nonlinear regression model
  • Python 3.10.6 is available
  • Stanine Score: Definition, Examples, How to Convert
  • The Four Models You Meet in Structural Equation Modeling
  • Downstream Bioinformatics Analysis of Omics Data with edgeR
  • Simulating data from a non-linear function by specifying a handful of points
  • RObservations #36: Opinions on RStudio’s name change. A Bayesian approach with Stan
  • Base-R Is Alive and Well

    • R-packages:

    • cito Building and Training Neural Networks
    • cbioportalR Browse and Query Clinical and Genomic Data from cBioPortal
    • gtreg Regulatory Tables for Clinical Research
    • diffdfs Compute the Difference Between Data Frames
    • fake Flexible Data Simulation Using the Multivariate Normal Distribution
    • seeker Simplified Fetching and Processing of Microarray and RNA-Seq Data
    • ympes Collection of Helper Functions
      • ...more
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      Science Research WeeklyBy Mark R Williamson