This package is a collection of my favorite functions around bayesian analysis from various packages. It is designed around my personal workflow for data analysis and documents my methodology. Please Note: I don't have formal academic training around Bayesian statistics, but only strive to be a lifelong learner through reading, workshops, and online classes.
My approach is heavily focused on making informed probabilistic decisions. Much of my training, like most others, was based in classical statistics. I have since moved away from p-value driven hypothesis testing and taking on a decision making model framework that addresses risk and probabilistic outcomes.
The center of my analysis and decision framework includes:
- Bayes Factors
- Empirical Bayesian Methods
- Beta Regression
- Probability Trees
- Monte Carlo Simulation
“If you steal from one author, it’s plagiarism; if you steal from many, it’s research.” — Wilson Mizner
You can install the development version of MyToolBx like so:
remotes::install_github("jcvall/MyToolBX")This is a basic framework which shows you how to work on a general analytics project:
library(MyToolBx)
## basic example code