# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "tabpfn" in publications use:'
type: software
license: Apache-2.0
title: 'tabpfn: Prior-Data Fitted Network Foundational Model for Tabular Data'
version: 0.2.0.9000
doi: 10.32614/CRAN.package.tabpfn
abstract: 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) <https://doi.org/10.1038/s41586-024-08328-6>.
  The calculations are served via 'Python' to train and predict the model.
authors:
- family-names: Kuhn
  given-names: Max
  email: max@posit.co
  orcid: https://orcid.org/0000-0003-2402-136X
repository: https://tidymodels.r-universe.dev
repository-code: https://github.com/tidymodels/tabpfn
commit: 3da6e6e54f4005e3a92be06d2795201d3bf137fb
url: https://tabpfn.tidymodels.org
date-released: '2026-05-26'
contact:
- family-names: Kuhn
  given-names: Max
  email: max@posit.co
  orcid: https://orcid.org/0000-0003-2402-136X