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classmap
View on CRAN: Click
here
Download and install classmap package within the R console
Install from CRAN:
install.packages("classmap")
Install from Github:
library("remotes")
install_github("cran/classmap")
Install by package version:
library("remotes")
install_version("classmap", "1.2.3")
Attach the package and use:
library("classmap")
Maintained by
Jakob Raymaekers
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.classmap . classmap results . classmap.pdf . classmap_1.2.3.tar.gz . classmap_1.2.3.zip . classmap_1.2.3.zip . classmap_1.2.3.zip . classmap_1.2.3.tgz . classmap_1.2.3.tgz . classmap_1.2.3.tgz . classmap_1.2.3.tgz . classmap_1.2.3.tgz . classmap_1.2.3.tgz . classmap archive . https://CRAN.R-project.org/package=classmap .
First Published: 2021-05-10
Latest Update: 2023-04-23
Description:
Tools to visualize the results of a classification of cases.
The graphical displays include stacked plots, silhouette plots, quasi residual plots, and class maps.
Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, appeared online.
(open access) and Raymaekers and Rousseeuw (2021),
Silhouettes and quasi residual plots for neural nets and tree-based classifiers,
. Examples can be found in the vignettes:
"Discriminant_analysis_examples","K_nearest_neighbors_examples",
"Support_vector_machine_examples", "Rpart_examples", "Random_forest_examples",
and "Neural_net_examples".
How to cite:
Jakob Raymaekers (2021). classmap: Visualizing Classification Results. R package version 1.2.3, https://cran.r-project.org/web/packages/classmap. Accessed 06 Apr. 2025.
Previous versions and publish date:
Other packages that cited classmap R package
View classmap citation profile
Other R packages that classmap depends,
imports, suggests or enhances
Complete documentation for classmap
Functions, R codes and Examples using
the classmap R package
Some associated functions: classmap . confmat.vcr . data_bookReviews . data_floralbuds . data_instagram . data_titanic . makeFV . makeKernel . qresplot . silplot . stackedplot . vcr.da.newdata . vcr.da.train . vcr.forest.newdata . vcr.forest.train . vcr.knn.newdata . vcr.knn.train . vcr.neural.newdata . vcr.neural.train . vcr.rpart.newdata . vcr.rpart.train . vcr.svm.newdata . vcr.svm.train .
Some associated R codes: VCR_DA.R . VCR_Daisy.R . VCR_SVM.R . VCR_auxiliaryFunctions.R . VCR_forest.R . VCR_knn.R . VCR_neuralnet.R . VCR_rpart.R . VCR_visualization.R . Full classmap package functions and examples
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