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RMLPCA  

Maximum Likelihood Principal Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RMLPCA", "0.0.1")



Attach the package and use:
library("RMLPCA")
Maintained by
Renan Santos Barbosa
[Scholar Profile | Author Map]
First Published: 2020-11-05
Latest Update: 2020-11-05
Description:
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) .
How to cite:
Renan Santos Barbosa (2020). RMLPCA: Maximum Likelihood Principal Component Analysis. R package version 0.0.1, https://cran.r-project.org/web/packages/RMLPCA. Accessed 03 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for RMLPCA
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