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deepImp  

Imputation with Deep Learning Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("deepImp", "1.1.0")



Attach the package and use:
library("deepImp")
Maintained by
Matthias Templ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-10
Latest Update: 2026-06-10
Description:
Imputation of mixed-type and compositional data with neural networks. The architecture (number and size of hidden layers, dropout, activation, optimiser) is user-configurable. See Templ (2021) <doi:10.1007/978-3-030-71175-7>.
How to cite:
Matthias Templ (2026). deepImp: Imputation with Deep Learning Methods. R package version 1.1.0, https://cran.r-project.org/web/packages/deepImp. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited deepImp R package
View deepImp citation profile
Other R packages that deepImp depends, imports, suggests or enhances
Complete documentation for deepImp
Functions, R codes and Examples using the deepImp R package
Full deepImp package functions and examples
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