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effectplots
View on CRAN: Click
here
Download and install effectplots package within the R console
Install from CRAN:
install.packages("effectplots")
Install from Github:
library("remotes")
install_github("cran/effectplots")
Install by package version:
library("remotes")
install_version("effectplots", "0.2.1")
Attach the package and use:
library("effectplots")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.effectplots . https://github.com/mayer79/effectplots/issues . https://github.com/mayer79/effectplots . effectplots results . effectplots.pdf . effectplots_0.2.1.tar.gz . effectplots_0.2.1.zip . effectplots_0.2.1.zip . effectplots_0.2.1.zip . effectplots_0.2.1.tgz . effectplots_0.2.1.tgz . effectplots_0.2.1.tgz . effectplots_0.2.1.tgz . effectplots_0.2.1.tgz . effectplots_0.2.1.tgz . effectplots archive . https://CRAN.R-project.org/package=effectplots .
First Published: 2024-11-18
Latest Update: 2024-11-18
Description:
High-performance implementation of various effect plots useful for regression and probabilistic classification tasks.The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features.It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
How to cite:
Michael Mayer (2024). effectplots: Effect Plots. R package version 0.2.1, https://cran.r-project.org/web/packages/effectplots. Accessed 17 Feb. 2025.
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