R Observatory: Metrics for densemlp version 0.7.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

densemlp

0.7.1Package record

Dense Neural Networks for Tabular Regression, Classification and Survival

2packages depend

1.1Kdownloads / year

90.7%test coverage

13/13flavors OK

Overview

About

Maintained by Imad El BadisyCRAN page ↗GitHub ↗Issues ↗

Dense feed-forward neural networks (multilayer perceptrons) for tabular regression, classification and survival analysis, with a formula or x/y interface. Supports residual and gated hidden blocks, batch normalization, per-layer dropout, learned cross-feature interactions, exponential moving-average weights, learning-rate schedules, internal bootstrap ensembles and Adam optimization. Survival outcomes are trained with either a batch-wise Breslow-tie Cox partial likelihood or a discrete-time inverse-probability-of-censoring-weighted integrated Brier score. The numerical kernels are implemented natively in C++ via 'RcppArmadillo', with no external deep learning framework dependency (no 'torch' / 'libtorch'). Companion helpers provide k-fold cross-validation, hyperparameter search and task-aware evaluation metrics.

Changes in 0.7.1

Add src/Makevars / src/Makevars.win linking the numerical kernels against R's BLAS/LAPACK ($(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS)). Without the explicit link line the Armadillo calls (dgemm_, dgemv_, ddot_, dsyrk_, ...) were left undefined at link time on the CRAN Windows builder. No user-visible changes.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ielbadisy/densemlp")

Development version from ielbadisy/densemlp. Installs pak first if it is not already available.

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-densemlp

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-densemlp

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-densemlp

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: 3.2 min · r-devel-windows-x86_64

Status changes

OK13 OKNow
OK6 OK2026-08-09

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.7.1

READMEYes · 180 wordsVignettesYes · 1 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 0.7.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11 (1 internal)includes a package overview page
Examples that run: 100%5 run in a plain check
Exported functions with examples: 71%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to densemlp HTML

How these are measured

Downloads

1.1K

CRAN downloads in the past year

Rank #8,983 · ~3/day · ~90/mo

Releases R versions

Daily download trend is not available in this view yet.

28930 days

1.1K90 days

1.1K1 year

Compare downloads with other packages →

Also on53 r2u9 autocran

How downloads are counted

Repository

ielbadisy/densemlp ↗Account: ielbadisy

2Stars

0Forks

0Open issues

0Open PRs

1Releases

41Commits

1Commit identities

classificationdeep-learningmlprregressiontabular-datatorch

41 commits · Last activity 2026-10-19 · Default branch at 0.9.0, ahead of CRAN 0.7.1 (checked 2026-10-22)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Commits over time

2026-08-16 · 262026-10-20 · 41

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/ielbadisy/densemlp on 2026-10-22.

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing densemlp adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (0)

none

Imports (5)

graphicsparallelRcppstatsutils

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

knitr rmarkdownsurvivaltestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Depends, Imports or LinkingTo, most downloaded first

funcml mimar

How these are counted

Code & Tests

People & History

People (1)

Imad El Badisy

Author, Maintainer since 0.5.0 (2026)

Releases (3)

Pick two releases to compare their code metrics.

0.7.1Latest
record
2026-08-22 · current release · diff ↗ ·
added 1 export
densemlp_integrated_brier_score
0.6.0
record
2026-08-22 · diff ↗ ·
added 1 export
cv_densemlp
0.5.0
record
2026-08-08
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-08
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 76 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("densemlp")

Format

El Badisy, I. (2026). densemlp: Dense Neural Networks for Tabular Regression, Classification and Survival (Version 0.7.1) [Computer software]. https://doi.org/10.32614/CRAN.package.densemlp

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 densemlp version 0.7.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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