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FSDAM  

Forward Stepwise Deep Autoencoder-Based Monotone NLDR
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FSDAM", "2024.7-30")



Attach the package and use:
library("FSDAM")
Maintained by
Youyi Fong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-20
Latest Update: 2024-07-31
Description:
FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.
How to cite:
Youyi Fong (2020). FSDAM: Forward Stepwise Deep Autoencoder-Based Monotone NLDR. R package version 2024.7-30, https://cran.r-project.org/web/packages/FSDAM. Accessed 28 Oct. 2026.
Previous versions and publish date:
2020.11-18 (2020-11-20 10:50), 2024.1-30 (2024-01-29 18:00), (2026-07-09 08:03)
Other packages that cited FSDAM R package
View FSDAM citation profile
Other R packages that FSDAM depends, imports, suggests or enhances
Complete documentation for FSDAM
Functions, R codes and Examples using the FSDAM R package
Some associated functions: cc.505 . fsdam . hvtn505tier1 . 
Some associated R codes: fsdam.R .  Full FSDAM package functions and examples
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