ACELONG: Stata module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models

acelong estimates multilevel mixed-effects ACE variance decomposition models based on twin data formatted one twin per data row ("long" twin data format). An ACE variance decomposition is a behavioral genetic analysis method which partitions the variance of an observed outcome (called phenotype) that varies within twin pairs into three latent components: 1) A component caused by additive genetic effects (A), a component caused by environmental effects shared by both twins of a twin pair (C) and 3) a component caused by environmental effects which are unique to each twin (E). aelong estimates multilevel mixed-effects AE variance decomposition models, i.e., a behavioral genetic variance decompositions without component 2) (C). adelong estimates multilevel mixed-effects ADE variance decomposition models, i.e., a behavioral genetic variance decompositions with a component caused by dominant genetic effects (D).