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ccda  

Combined Cluster and Discriminant Analysis
View on CRAN: Click here


Download and install ccda package within the R console
Install from CRAN:
install.packages("ccda")

Install from Github:
library("remotes")
install_github("cran/ccda")

Install by package version:
library("remotes")
install_version("ccda", "1.1.1")



Attach the package and use:
library("ccda")
Maintained by
Solt Kovacs
[Scholar Profile | Author Map]
First Published: 2014-01-13
Latest Update: 2019-10-02
Description:
Implements the combined cluster and discriminant analysis method for finding homogeneous groups of data with known origin as described in Kovacs et. al (2014): Classification into homogeneous groups using combined cluster and discriminant analysis (CCDA). Environmental Modelling & Software. .
How to cite:
Solt Kovacs (2014). ccda: Combined Cluster and Discriminant Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/ccda. Accessed 04 May. 2025.
Previous versions and publish date:
1.0 (2014-01-13 18:23), 1.1 (2014-12-08 22:23)
Other packages that cited ccda R package
View ccda citation profile
Other R packages that ccda depends, imports, suggests or enhances
Complete documentation for ccda
Functions, R codes and Examples using the ccda R package
Some associated functions: ccda.main . percentage . plotccda.cluster . plotccda.q95 . plotccda.results . 
Some associated R codes: ccda.main.R . percentage.R . plotccda.cluster.R . plotccda.q95.R . plotccda.results.R .  Full ccda package functions and examples
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