factorMerger
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Set of tools to support results from post hoc testing
lm.fit is faster than lm. However, some statistics must be calculated separately (e.g. group means).
The most interesting part of the merging path is usually on the right hand side of the tree plot. Loglikelihood varies only slightly for early models and it's hard to...
`plot.factorMerger` should have panels align by: - x axis (GIC and tree), - y axis (tree and response panel - if possible)
Why not to add a function that will run CV to choose the optimal penalty in GIC for a given dataset?