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LearnVizLMM

Learning and Communicating Linear Mixed Models Without Data

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.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 LearnVizLMM_1.0.0.tar.gz 694.0 KiB
1.0.0 rolling linux/noble R-4.5 LearnVizLMM_1.0.0.tar.gz 693.9 KiB
1.0.0 rolling source/ R- LearnVizLMM_1.0.0.tar.gz 617.4 KiB
1.0.0 latest linux/jammy R-4.5 LearnVizLMM_1.0.0.tar.gz 694.0 KiB
1.0.0 latest linux/noble R-4.5 LearnVizLMM_1.0.0.tar.gz 693.9 KiB
1.0.0 latest source/ R- LearnVizLMM_1.0.0.tar.gz 617.4 KiB
1.0.0 2026-04-26 source/ R- LearnVizLMM_1.0.0.tar.gz 617.4 KiB
1.0.0 2026-04-23 source/ R- LearnVizLMM_1.0.0.tar.gz 617.4 KiB
1.0.0 2026-04-09 windows/windows R-4.5 LearnVizLMM_1.0.0.zip 694.6 KiB
1.0.0 2025-04-20 source/ R- LearnVizLMM_1.0.0.tar.gz 617.4 KiB

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