Most multilevel methodologies can only model macro-micro multilevel situations in an unbiased way, wherein group-level predictors (e.g., city temperature) are used to predict an individual-level outcome variable (e.g., citizen personality). In contrast, this R package enables researchers to model micro-macro situations, wherein individual-level (micro) predictors (and other group-level predictors) are used to predict a group-level (macro) outcome variable in an unbiased way.
|Author||Jackson G Lu [aut], Elizabeth Page-Gould [aut], Nancy R Xu [aut, cre]|
|Maintainer||Nancy R Xu <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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