Things to improve in calm():
bruteforce=FALSE should get the stepwise model and then do manipulations:
- the best model + each of excluded variables
- the model based on purely excluded variables (randomly selected, several models)
- other permutations?
- vcov should not be called inside calm, should be done outside
- vcov.calm should get vcov from each model, not extract the estimated one
- drop models that have ICw<1e-5 to reduce the pool.
- pooling maybe?
Things to improve in calm():
bruteforce=FALSEshould get the stepwise model and then do manipulations: