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.

Version: 0.4.0
Depends: R (≥ 3.1.0)
Published: 2017-07-01
Author: Jackson G Lu [aut], Elizabeth Page-Gould [aut], Nancy R Xu [aut, cre]
Maintainer: Nancy R Xu <nancyranxu at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: MicroMacroMultilevel results


Reference manual: MicroMacroMultilevel.pdf
Package source: MicroMacroMultilevel_0.4.0.tar.gz
Windows binaries: r-devel: MicroMacroMultilevel_0.4.0.zip, r-release: MicroMacroMultilevel_0.4.0.zip, r-oldrel: MicroMacroMultilevel_0.4.0.zip
OS X El Capitan binaries: r-release: MicroMacroMultilevel_0.4.0.tgz
OS X Mavericks binaries: r-oldrel: MicroMacroMultilevel_0.4.0.tgz


Please use the canonical form https://CRAN.R-project.org/package=MicroMacroMultilevel to link to this page.