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message: 'To cite package "MicroMacroMultilevel" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'MicroMacroMultilevel: Micro-Macro Multilevel Modeling'
version: 0.4.0
doi: 10.32614/CRAN.package.MicroMacroMultilevel
abstract: 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:
- family-names: Lu
  given-names: Jackson G
  email: jackson.guannan.lu@gmail.com
- family-names: Page-Gould
  given-names: Elizabeth
  email: liz@psych.utoronto.ca
- family-names: Xu
  given-names: Nancy R
  email: nancyranxu@gmail.com
repository: https://CRAN.R-project.org/package=MicroMacroMultilevel
date-released: '2017-07-01'
contact:
- family-names: Xu
  given-names: Nancy R
  email: nancyranxu@gmail.com