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Listen "Episode 20: The Count of Monte Carlo"
Episode Synopsis
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
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
In God we trust