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MicroMacroMultilevel  

Micro-Macro Multilevel Modeling
View on CRAN: Click here


Download and install MicroMacroMultilevel package within the R console
Install from CRAN:
install.packages("MicroMacroMultilevel")

Install from Github:
library("remotes")
install_github("cran/MicroMacroMultilevel")

Install by package version:
library("remotes")
install_version("MicroMacroMultilevel", "0.4.0")



Attach the package and use:
library("MicroMacroMultilevel")
Maintained by
Nancy R Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-01
Latest Update: 2017-07-01
Description:
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.
How to cite:
Nancy R Xu (2017). MicroMacroMultilevel: Micro-Macro Multilevel Modeling. R package version 0.4.0, https://cran.r-project.org/web/packages/MicroMacroMultilevel. Accessed 12 Oct. 2026.
Previous versions and publish date:
No previous versions
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Other R packages that MicroMacroMultilevel depends, imports, suggests or enhances
Complete documentation for MicroMacroMultilevel
Functions, R codes and Examples using the MicroMacroMultilevel R package
Some associated functions: adjusted.predictors . micromacro.lm . micromacro.summary . 
Some associated R codes: Full MicroMacroMultilevel package functions and examples
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