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autotab  

Variational Autoencoders for Heterogeneous Tabular Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("autotab", "0.1.1")



Attach the package and use:
library("autotab")
Maintained by
Sarah Milligan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-24
Latest Update: 2025-11-24
Description:
Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
How to cite:
Sarah Milligan (2025). autotab: Variational Autoencoders for Heterogeneous Tabular Data. R package version 0.1.1, https://cran.r-project.org/web/packages/autotab. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.1 (2025-11-24 18:40), 0.1.2 (2026-02-06 20:40), 0.1.3 (2026-02-09 00:30), 1.0 (2026-03-25 20:10)
Other packages that cited autotab R package
View autotab citation profile
Other R packages that autotab depends, imports, suggests or enhances
Complete documentation for autotab
Functions, R codes and Examples using the autotab R package
Full autotab package functions and examples
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