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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.

Versions across snapshots

VersionRepositoryFileSize
0.4.0 rolling linux/jammy R-4.5 MicroMacroMultilevel_0.4.0.tar.gz 45.4 KiB
0.4.0 rolling linux/noble R-4.5 MicroMacroMultilevel_0.4.0.tar.gz 45.3 KiB
0.4.0 rolling source/ R- MicroMacroMultilevel_0.4.0.tar.gz 12.8 KiB
0.4.0 latest linux/jammy R-4.5 MicroMacroMultilevel_0.4.0.tar.gz 45.4 KiB
0.4.0 latest linux/noble R-4.5 MicroMacroMultilevel_0.4.0.tar.gz 45.3 KiB
0.4.0 latest source/ R- MicroMacroMultilevel_0.4.0.tar.gz 12.8 KiB
0.4.0 2026-04-26 source/ R- MicroMacroMultilevel_0.4.0.tar.gz 12.8 KiB
0.4.0 2026-04-23 source/ R- MicroMacroMultilevel_0.4.0.tar.gz 12.8 KiB
0.4.0 2026-04-09 windows/windows R-4.5 MicroMacroMultilevel_0.4.0.zip 48.6 KiB
0.4.0 2025-04-20 source/ R- MicroMacroMultilevel_0.4.0.tar.gz 12.8 KiB