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tabpfn  

Prior-Data Fitted Network Foundational Model for Tabular Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tabpfn", "0.4.0")



Attach the package and use:
library("tabpfn")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-18
Latest Update: 2026-03-18
Description:
Provides a consistent API for classification and regression models based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions on small data with a tabular foundation model," Nature, 637(8045) <doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python' to train and predict the model.
How to cite:
Max Kuhn (2026). tabpfn: Prior-Data Fitted Network Foundational Model for Tabular Data. R package version 0.4.0, https://cran.r-project.org/web/packages/tabpfn. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-09-25 09:30), 0.1.0 (2026-03-18 11:30), 0.2.0 (2026-05-14 15:00), 0.3.0 (2026-09-02 00:50)
Other packages that cited tabpfn R package
View tabpfn citation profile
Other R packages that tabpfn depends, imports, suggests or enhances
Complete documentation for tabpfn
Functions, R codes and Examples using the tabpfn R package
Full tabpfn package functions and examples
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