Package: MicroMacroMultilevel
Type: Package
Description: 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.
Title: Micro-Macro Multilevel Modeling
Version: 0.4.0
Authors@R: c(person(c("Jackson", "G"),"Lu", email= "jackson.guannan.lu@gmail.com", role="aut"),
     person("Elizabeth","Page-Gould", email= "liz@psych.utoronto.ca", role="aut"),
     person(c("Nancy", "R"),"Xu", email= "nancyranxu@gmail.com", role=c("aut", "cre")))
License: GPL (>= 2)
Depends: R (>= 3.1.0)
RoxygenNote: 6.0.1
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-07-01 13:50:00 UTC; JacksonLuOld
Author: Jackson G Lu [aut],
  Elizabeth Page-Gould [aut],
  Nancy R Xu [aut, cre]
Maintainer: Nancy R Xu <nancyranxu@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-01 14:47:20 UTC
Built: R 4.6.0; ; 2026-04-25 20:22:57 UTC; unix
