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tuckerR.mmgg  

Three-Mode Principal Components Analysis
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/tuckerR.mmgg")

Install by package version:
library("remotes")
install_version("tuckerR.mmgg", "1.5.1")



Attach the package and use:
library("tuckerR.mmgg")
Maintained by
Gustavo Gimenez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-23
Latest Update: 2018-06-14
Description:
Performs Three-Mode Principal Components Analysis, which carries out Tucker Models.
How to cite:
Gustavo Gimenez (2017). tuckerR.mmgg: Three-Mode Principal Components Analysis. R package version 1.5.1, https://cran.r-project.org/web/packages/tuckerR.mmgg
Previous versions and publish date:
1.5.0 (2017-02-23 08:31)
Other packages that cited tuckerR.mmgg R package
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Other R packages that tuckerR.mmgg depends, imports, suggests or enhances
Functions, R codes and Examples using the tuckerR.mmgg R package
Some associated functions: diffit . maize_pop . matrition . plot . tucker2R . tuckerR.mmgg . 
Some associated R codes: diffit.R . maize_pop.R . matrition.R . plot.R . print.diff.R . print.marta.R . tuckal.R . tucker2R.R . tuckerR.mmgg.R .  Full tuckerR.mmgg package functions and examples
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