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LearnVizLMM  

Learning and Communicating Linear Mixed Models Without Data
View on CRAN: Click here


Download and install LearnVizLMM package within the R console
Install from CRAN:
install.packages("LearnVizLMM")

Install from Github:
library("remotes")
install_github("cran/LearnVizLMM")

Install by package version:
library("remotes")
install_version("LearnVizLMM", "1.0.0")



Attach the package and use:
library("LearnVizLMM")
Maintained by
Katherine Zavez
[Scholar Profile | Author Map]
First Published: 2024-09-25
Latest Update: 2024-09-25
Description:
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.
How to cite:
Katherine Zavez (2024). LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data. R package version 1.0.0, https://cran.r-project.org/web/packages/LearnVizLMM. Accessed 21 Feb. 2025.
Previous versions and publish date:
No previous versions
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Full LearnVizLMM package functions and examples
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