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densemlp  

Dense Neural Networks for Tabular Regression, Classification and Survival
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("densemlp", "0.7.1")



Attach the package and use:
library("densemlp")
Maintained by
Imad EL BADISY
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
Provides dense feed-forward neural network models for tabular regression and classification using 'torch'. The package supports modern extensions around dense neural network blocks, including dropout, batch normalization, residual connections, gated blocks, and optional input projection.
How to cite:
Imad EL BADISY (2026). densemlp: Dense Neural Networks for Tabular Regression, Classification and Survival. R package version 0.7.1, https://cran.r-project.org/web/packages/densemlp. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-09-01 10:30), 0.5.0 (2026-08-08 15:50), 0.6.0 (2026-08-22 03:00)
Other packages that cited densemlp R package
View densemlp citation profile
Other R packages that densemlp depends, imports, suggests or enhances
Complete documentation for densemlp
Functions, R codes and Examples using the densemlp R package
Full densemlp package functions and examples
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