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classifly
View on CRAN: Click
here
Download and install classifly package within the R console
Install from CRAN:
install.packages("classifly")
Install from Github:
library("remotes")
install_github("cran/classifly") Install by package version:
library("remotes")
install_version("classifly", "0.4.3") Attach the package and use:
library("classifly")
Maintained by
Hadley Wickham
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-10-26
Latest Update: 2025-09-01
Description:
Given $p$-dimensional training data containing $d$ groups
(the design space), a classification algorithm (classifier) predicts
which group new data belongs to. Generally the input to these
algorithms is high dimensional, and the boundaries between groups will
be high dimensional and perhaps curvilinear or multi-faceted. This
package implements methods for understanding the division of space
between the groups.
How to cite:
Hadley Wickham (2006). classifly: Explore Classification Models in High Dimensions. R package version 0.4.3, https://cran.r-project.org/web/packages/classifly. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Other R packages that classifly depends,
imports, suggests or enhances
Complete documentation for classifly
Functions, R codes and Examples using
the classifly R package
Some associated functions: advantage . classifly . classify . explore . generate_classification_data . generate_data . knnf . olives . posterior . simvar . variables .
Some associated R codes: olives.R . rescaler.R . Full classifly package functions and examples
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