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-4.7-any)MicroMacroMultilevel_0.4.0.tar.gz(r-4.6-any)
MicroMacroMultilevel_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:a9031088cd. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 94 | ||
| source / vignettes | OK | 124 | ||
| linux-release-x86_64 | OK | 127 | ||
| wasm-release | OK | 82 |
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 |