# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LearnVizLMM" in publications use:' type: software license: GPL-3.0-or-later title: 'LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data' version: 1.0.0 doi: 10.32614/CRAN.package.LearnVizLMM abstract: Summarizes characteristics of linear mixed effects models without data or a fitted model by converting code for fitting lmer() from 'lme4' and lme() from 'nlme' into tables, equations, and visuals. Outputs can be used to learn how to fit linear mixed effects models in 'R' and to communicate about these models in presentations, manuscripts, and analysis plans. authors: - family-names: Zavez given-names: Katherine email: Katherine.Zavez@uconn.edu - family-names: Harel given-names: Ofer email: Ofer.Harel@uconn.edu repository: https://kzavez.r-universe.dev repository-code: https://github.com/kzavez/LearnVizLMM commit: 632d549679ef1b46cb25aeed93762a4d0525f73e url: https://github.com/kzavez/LearnVizLMM contact: - family-names: Zavez given-names: Katherine email: Katherine.Zavez@uconn.edu