Hi Alex,
To my knowledge, the memtoolbox is meant for estimation data only. Models for 2AFC designs require a model of the decision stage (e.g. Bayesian observer, max model, etc), which can be combined with any model for the memory stage (slots-plus-average, variable-precision, etc). Each 2AFC task will require a different decision model, so it seems impractical to include 2AFC in a toolbox (but one could imagine a toolbox specifically for change detection tasks, for example). We have published several papers in which we combined 2AFC decision models with models of working memory. You might want to have a look at these:
Change detection: * No evidence for an item limit in change detection, PLoS computational biology, 2013
* Probabilistic computation in human perception under variability in encoding precision, PloS one, 2012
Change localization* Variability in encoding precision accounts for visual short-term memory limitations, PNAS, 2012
Visual search:
* Does precision decrease with set size? Journal of vision, 2012