Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

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 the reference Barreto-Souza, Mayrink and Simas (2020) for details.


Reference manual

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2.0.1 by Vinicius Mayrink, a year ago

Browse source code at

Authors: Vinicius Mayrink [cre, aut] , Alexandre B. Simas [aut] , Wagner Barreto-Souza [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports pbapply, Formula, expint, statmod

Suggests rmarkdown, knitr

Suggested by mixpoissonreg.

See at CRAN