# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "deeptrafo" in publications use:' type: software license: GPL-3.0-only title: 'deeptrafo: Fitting Deep Conditional Transformation Models' version: 1.0-0 doi: 10.18637/jss.v111.i10 identifiers: - type: doi value: 10.32614/CRAN.package.deeptrafo abstract: Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) and Kook et al (2022) . Extensions such as autoregressive DCTMs (Ruegamer et al, 2023, ) and transformation ensembles (Kook et al, 2022, ) are implemented. The software package is described in Kook et al (2024, ). authors: - family-names: Kook given-names: Lucas email: lucasheinrich.kook@gmail.com - family-names: Baumann given-names: Philipp email: baumann@kof.ethz.ch - family-names: Ruegamer given-names: David email: david.ruegamer@gmail.com preferred-citation: type: article title: Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo authors: - family-names: Kook given-names: Lucas email: lucas.kook@wu.ac.at - family-names: Baumann given-names: Philipp F. M. - family-names: D\"urr given-names: Oliver - family-names: Sick given-names: Beate - family-names: R\"ugamer given-names: David journal: Journal of Statistical Software year: '2024' volume: '111' issue: '10' doi: 10.18637/jss.v111.i10 start: '1' end: '36' repository: https://neural-structured-additive-learning.r-universe.dev repository-code: https://github.com/neural-structured-additive-learning/deeptrafo commit: d6221da6c3569f714844bdfaccaf436166c6d01c url: https://github.com/neural-structured-additive-learning/deeptrafo contact: - family-names: Kook given-names: Lucas email: lucasheinrich.kook@gmail.com