BGLR AI: Resources to Power the use of AI with BGLR

In this repository we will create a sequence of examples that can be used to train AI to write code for BGLR (including preparing the data, developing scripts to run models, extracting outputs and displaying results.

Examples

Name	Concepts	Data	Source	Status
interceptOnly.md	Shows the most basic model one can run with BGLR	Simulated	None	To be reviewed
fixedEffects.md	Linear regression w/factors and covariates Posterior means and posterior SD Trace plots Posterior density plots Posterior credibility regions Posterior (co)variance of estimates	wages	None	In progress
BayesianAlphabet.md	Linear regression on SNPs (large p) Shrinkage and Variable Selection	Simulated using mice genotypes	BGLR-R	TOBDs