greybox

Explain and interpret greybox outputs in plain language — ALM model summaries (coefficients, sigma, information criteria), confidence/prediction intervals, forecast accuracy measures, stepwise/CALM selection, RMCB/Nemenyi method comparisons, stick() STI decomposition, distributions, and association measures. Use when the user asks what a result means, how to read a summary or plot, which metric/distribution to pick, or why a model behaves a certain way — in either the R package or the Python port.