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vscc
View on CRAN: Click
here
Download and install vscc package within the R console
Install from CRAN:
install.packages("vscc")
Install from Github:
library("remotes")
install_github("cran/vscc")
Install by package version:
library("remotes")
install_version("vscc", "0.7")
Attach the package and use:
library("vscc")
Maintained by
Paul D. McNicholas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-11-17
Latest Update: 2023-09-05
Description:
Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix'). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023) <doi:10.48550/arXiv.2305.16464>.
How to cite:
Paul D. McNicholas (2013). vscc: Variable Selection for Clustering and Classification. R package version 0.7, https://cran.r-project.org/web/packages/vscc. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Other R packages that vscc depends,
imports, suggests or enhances
Complete documentation for vscc
Functions, R codes and Examples using
the vscc R package
Some associated functions: plot.vscc . print.vscc . summary.vscc . vscc-package . vscc . vsccmanly .
Some associated R codes: plot.vscc.R . print.vscc.R . summary.vscc.R . vscc.R . vsccmanly.R . Full vscc package functions and examples
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