Package: MicroMacroMultilevel 0.4.0
Nancy R Xu
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.
Authors:
MicroMacroMultilevel_0.4.0.tar.gz
MicroMacroMultilevel_0.4.0.tar.gz(r-4.5-noble)MicroMacroMultilevel_0.4.0.tar.gz(r-4.4-noble)
MicroMacroMultilevel_0.4.0.tgz(r-4.4-emscripten)MicroMacroMultilevel_0.4.0.tgz(r-4.3-emscripten)
MicroMacroMultilevel.pdf |MicroMacroMultilevel.html✨
MicroMacroMultilevel/json (API)
| # Install 'MicroMacroMultilevel' in R: |
| install.packages('MicroMacroMultilevel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:a9031088cd. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-linux | OK | Oct 12 2024 |
Exports:adjusted.predictorsmicromacro.lmmicromacro.summary
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculating the Adjusted Group Means of Individual-Level Variables in a Micro-Macro Multilevel Situation | adjusted.predictors |
| Fitting Micro-Macro Multilevel Linear Models | micromacro.lm |
| Summarizing the Micro-Macro Multilevel Linear Model Fitting Results | micromacro.summary |