Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data R package bbreg version 2.0.2 Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See details in the references Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <arXiv:2003.05157>. Software Depends: R (>= 3.5.0) Imports: pbapply, Formula, expint, statmod Suggests: rmarkdown, knitr Vinicius Mayrink <vdinizm@gmail.com> Comprehensive R Archive Network (CRAN) Vinicius Mayrink [cre, aut] (ORCID: <https://orcid.org/0000-0002-5683-8326>), Alexandre B. Simas [aut] (ORCID: <https://orcid.org/0000-0003-2562-2829>), Wagner Barreto-Souza [aut] (ORCID: <https://orcid.org/0000-0003-0831-7881>) GPL-2 2022-02-14 application/tgz https://CRAN.R-project.org/package=bbreg doi:10.32614/CRAN.package.bbreg