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Plot both fixed and random effects of linear mixed models, multilevel models in a single spaghetti plot. The package allows to visualize the effect of a predictor on a criterion between different levels of a grouping variable. Additionally, confidence intervals can be displayed for fixed effects. Calculation of predicted values of random effects allows only models with one random intercept and/or one random slope to be plotted. Confidence intervals and predicted values of fixed effects are computed using the 'ggpredict' function from the 'ggeffects' package. Lüdecke, D. (2018) <doi:10.21105/joss.00638>.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | ggeffects, ggplot2, glmmTMB, lme4 |
Published: | 2024-06-05 |
DOI: | 10.32614/CRAN.package.pastaPlot |
Author: | Jan-Felix Palnau [aut, cre] |
Maintainer: | Jan-Felix Palnau <jan.palnau at mailbox.org> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | pastaPlot results |
Reference manual: | pastaPlot.pdf |
Package source: | pastaPlot_0.1.0.tar.gz |
Windows binaries: | r-devel: pastaPlot_0.1.0.zip, r-release: pastaPlot_0.1.0.zip, r-oldrel: pastaPlot_0.1.0.zip |
macOS binaries: | r-release (arm64): pastaPlot_0.1.0.tgz, r-oldrel (arm64): pastaPlot_0.1.0.tgz, r-release (x86_64): pastaPlot_0.1.0.tgz, r-oldrel (x86_64): pastaPlot_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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