Package: pastaPlot 0.1.0

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>.

Authors:Jan-Felix Palnau [aut, cre]

pastaPlot_0.1.0.tar.gz
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pastaPlot.pdf |pastaPlot.html
pastaPlot/json (API)

# Install 'pastaPlot' in R:
install.packages('pastaPlot', repos = c('https://janpalnau.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/janpalnau/pastaplot/issues

Datasets:

On CRAN:

Conda:

2.70 score 423 downloads 2 exports 43 dependencies

Last updated 11 months agofrom:65582f119a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 03 2025
R-4.5-winOKApr 03 2025
R-4.5-macOKApr 03 2025
R-4.5-linuxOKApr 03 2025
R-4.4-winOKApr 03 2025
R-4.4-macOKApr 03 2025
R-4.4-linuxOKApr 03 2025
R-4.3-winOKApr 03 2025
R-4.3-macOKApr 03 2025

Exports:cookPastapastaPlot

Dependencies:bootclicolorspacedatawizardfansifarverggeffectsggplot2glmmTMBgluegtableinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrnumDerivpillarpkgconfigR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalestibbleTMButf8vctrsviridisLitewithr