R Observatory: Metrics for LDNN version 1.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LDNN

1.10

Longitudinal Data Neural Network

0packages depend

2.5Kdownloads / year

0.0%test coverage

9/13checks pass

Overview

About

Maintained by Vasileios KarapouliosFirst published 2020-12-021 releasesCRAN page ↗

This is a Neural Network regression model implementation using 'Keras', consisting of 10 Long Short-Term Memory layers that are fully connected along with the rest of the inputs.

Install

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

install.packages("LDNN", 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-ldnn

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-LDNN

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-LDNN

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

4NOTE9OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.04

0.0%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

NOTE2026-06-09
9 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
9 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
7 OK · 7 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 12 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.5K

CRAN downloads in the past year

Rank #18,015 · ~7/day · ~206/mo

Releases R versions

Daily download trend is not available in this view yet.

17430 days

60490 days

2.5K1 year

Compare downloads with other packages →

Also on97 r2u9 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

keras

Imports (3)

devtools reticulate tensorflow

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)

Vasileios Karapoulios

no longer listed · 1.10

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.10Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2020-12-02
Total releases: 1 / 6 yrs
License: GNU General Public License
Download size: 11 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LDNN")

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 LDNN version 1.10 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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