pastaPlot: Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models

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
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

Documentation:

Reference manual:

pastaPlot.html , pastaPlot.pdf

Downloads:

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

Linking:

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