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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
Browse package contents
Package details |
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| Author | Jackson G Lu [aut], Elizabeth Page-Gould [aut], Nancy R Xu [aut, cre] |
| Maintainer | Nancy R Xu <nancyranxu@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.4.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the MicroMacroMultilevel package in your browser
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