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nipals  

Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nipals", "1.0")



Attach the package and use:
library("nipals")
Maintained by
Kevin Wright
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update: 2021-09-15
Description:
Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) .
How to cite:
Kevin Wright (2017). nipals: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization. R package version 1.0, https://cran.r-project.org/web/packages/nipals. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.3 (2017-11-14 19:50), 0.4 (2018-02-11 15:41), 0.5 (2018-10-24 19:20), 0.7 (2020-01-24 07:50), 0.8 (2021-09-15 23:10)
Other packages that cited nipals R package
View nipals citation profile
Other R packages that nipals depends, imports, suggests or enhances
Complete documentation for nipals
Functions, R codes and Examples using the nipals R package
Some associated functions: empca . nipals . uscrime . 
Some associated R codes: empca.R . nipals.R . uscrime.R .  Full nipals package functions and examples
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