<span class="pkg">MOSS</span> package.</p></li>
</ul><p>Standard TMLE is a two-step procedure. First, initial estimates for the treatment-assignment and the outcome-mechanisms are made using loss-based learning. This is implemented here using the <code>SuperLearner</code> methodology. In the next step, the estimates obtained by using the outcome-mechanism model are fluctuated based on information from the treatment-assignment model. If the outcome model is already consistent, this fluctuation is very small 