For each response (voxel, vertex, or structure) compare a set of linear model formulations with the criterion of your choice (e.g. AIC, AICc, BIC).
compare_models(object, ..., metric = AICc)
| object | A model or a list of models, typically mincLm, vertexLm, or anatLm results. |
|---|---|
| ... | additional models |
| metric | A function to apply to the models that extracts a result
for each independent sub-model. Typical choices are AIC, AICc,
and BIC. Please note that metrics are considered such that lower is
better (in following AIC). To use a positive metric create a wrapper function
that performs the negation, for example, to use the un-modified log-likelihood
you could pass |
A sub-model x n models model_comparison matrix with the metric of interest.