Bayesian linear regression code
This code is a MCMC-based normal linear regression with the basic assumptions. The function that estimates regression parameters can adapt to models with or without intercept, multiple and simple linear regression, depending on the design matrix dimension. The code starts with a simulation and follows with a real-world data application, the source of the data is in the code.