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classifly  

Explore Classification Models in High Dimensions
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", "0.4.1")



Attach the package and use:
library("classifly")
Maintained by
Hadley Wickham
[Scholar Profile | Author Map]
First Published: 2006-10-26
Latest Update: 2022-05-20
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 0.4.1, https://cran.r-project.org/web/packages/classifly. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.2.2 (2006-10-26 18:37), 0.2.3 (2007-03-14 20:10), 0.3 (2011-01-29 09:35), 0.4 (2014-04-23 19:51)
Other packages that cited classifly R package
View classifly citation profile
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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