MicroMacroMultilevel: Micro-Macro Multilevel Modeling

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.

Getting started

Package details

AuthorJackson G Lu [aut], Elizabeth Page-Gould [aut], Nancy R Xu [aut, cre]
MaintainerNancy R Xu <[email protected]>
LicenseGPL (>= 2)
Version0.4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MicroMacroMultilevel")

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MicroMacroMultilevel documentation built on May 2, 2019, 3:17 p.m.