Estimation and Inference for Conditional Copula Models R package CondCopulas version 0.2.0 Provides functions for the estimation of conditional copulas models, various estimators of conditional Kendall's tau (proposed in Derumigny and Fermanian (2019a, 2019b, 2020) <doi:10.1515/demo-2019-0016>, <doi:10.1016/j.csda.2019.01.013>, <doi:10.1016/j.jmva.2020.104610>), test procedures for the simplifying assumption (proposed in Derumigny and Fermanian (2017) <doi:10.1515/demo-2017-0011> and Derumigny, Fermanian and Min (2022) <doi:10.1002/cjs.11742>), and measures of non-simplifyingness (proposed in Derumigny (2025) <doi:10.48550/arXiv.2504.07704>). Software Imports: VineCopula, pbapply, glmnet, ordinalNet, tree, nnet, data.tree, statmod, wdm Suggests: MASS, knitr, rmarkdown, DiagrammeR, ggplot2, mvtnorm, testthat (>= 3.0.0) Alexis Derumigny <a.f.f.derumigny@tudelft.nl> Comprehensive R Archive Network (CRAN) Alexis Derumigny [aut, cre] (ORCID: <https://orcid.org/0000-0002-6163-8097>), Jean-David Fermanian [ctb, ths] (ORCID: <https://orcid.org/0000-0001-5960-5555>), Aleksey Min [ctb] (ORCID: <https://orcid.org/0000-0001-6928-4556>), Rutger van der Spek [ctb] GPL-3 2025-11-24 application/tgz https://CRAN.R-project.org/package=CondCopulas doi:10.32614/CRAN.package.CondCopulas