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effectplots  

Effect Plots
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]
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.
Previous versions and publish date:
0.1.0 (2024-11-18 14:50), 0.2.0 (2024-12-11 19:50)
Other packages that cited effectplots R package
View effectplots citation profile
Other R packages that effectplots depends, imports, suggests or enhances
Complete documentation for effectplots
Functions, R codes and Examples using the effectplots R package
Full effectplots package functions and examples
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