fitObject(object, ...)"DynTxRegime".The exact structure of the returned list will depend on the statistical method.
For methods that employ outcome regression, the list will have one element named 'outcome' in which all fit information for the outcome regression step(s) will be given.
For methods that use propensity score modeling, the list will have one element named 'propensity' in which all fit information for the propensity regression step(s) will be given.
The 'outcome' and 'propensity' elements may also be lists. For example, if multiple decision points, the sub-list will have an element for each decision point named with 'dp=x' where x takes the value of the decision point. For example, [['outcome']][['dp=1']], [['outcome']][['dp=2']], etc.
Subset modeling will also result in sub-lists, the names of which are 'Subset=x' where x takes the values of the subset names as defined by the user in the input.