Open drnickisaac opened 6 years ago
park this until the other methods are ironed out
I did some tests recently that showed rescaling does make a big difference if there are many missing data near the start of the series.
To fix this I need to get my head around what the rescaleYr
argument is doing (see #4) and the rescale_bayesian_indicator
function within bma()
At present, bma() fits a model in JAGS then rescales the output. These should be separated into two different functions. The first function should return the JAGS model object. Ideally, the second function should be fully aligned with (and duplicate?) the existing rescale_indicator() function.
In practice, it may be best to achieve this by converting bma() into a wrapper with two components, of which one is an updated rescale_indicator()