R Observatory: Metrics for FSDAM version 2024.7-30

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FSDAM

2024.7-30Package record

Forward Stepwise Deep Autoencoder-Based Monotone NLDR

0packages depend

2.6Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Youyi FongCRAN page ↗

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("FSDAM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fsdam

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FSDAM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FSDAM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2024.7-30

READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 0%1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 0%
Help pages citing references: 100%

Vignettes (1)

Forward Stepwise Deep Autoencoder-based Montone Nonlinear Dimensionality Reduction PDF

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #19,427 · ~7/day · ~213/mo

Releases R versions

Daily download trend is not available in this view yet.

26630 days

68290 days

2.6K1 year

Compare downloads with other packages →

Also on66 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing FSDAM adds 11 packages (8 with compiled code, 5.7 MB of source tarballs). Heaviest: Rcpp 1.8 MB, reticulate 1.6 MB, jsonlite 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (2)

kyotil reticulate

LinkingTo (0)

none

Suggests (2)

R.rsp RUnit

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Youyi Fong

Maintainer since 2020.11-18 (2020)

Jun Xu

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
2024.7-30Latest
record
2024-07-31 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
2024.1-30
record
2024-01-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
2020.11-18
record
2020-11-20
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-20
Total releases: 3 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 18 KB / 2 files
Download size: 52 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FSDAM")

Format

Fong, Y., & Xu, J. (2024). FSDAM: Forward Stepwise Deep Autoencoder-Based Monotone NLDR (Version 2024.7-30) [Computer software]. https://doi.org/10.32614/CRAN.package.FSDAM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FSDAM version 2024.7-30 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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