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Social networks and the attributes of the actors in these networks are not static; they may develop interdependently over time. The stochastic actororiented model allows for statistical inference on the mechanisms driving this co-evolution process. In earlier versions of this model, dynamic actor attributes are assumed to be measured on an ordinal categorical scale. We present an extension of the stochastic actor-oriented model that does away with this restriction using a stochasticdoi:10.1214/17-aoas1037 fatcat:7ndnawxiirdhrehsw7ptjdsr2u