Stress and anxiety scores among nonclinical women in Townsville - Queensland, Australia.

datasets

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>.

Vinicius Mayrink

bbreg

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

Alexandre B. Simas

Wagner Barreto-Souza

SA function

Data frame containing 166 observations on 2 variables.<dl class="dl-horizontal">
 <dt>stress</dt><dd>score, linearly transformed to the open unit interval.</dd>
 <dt>anxiety</dt><dd>score, linearly transformed to the open unit interval.</dd>
</dl>

Format

Stress/Axiety data set — SA

Data frame containing 166 observations on 2 variables.<dl class='dl-horizontal'>
 <dt>stress</dt><dd>score, linearly transformed to the open unit interval.</dd>
 <dt>anxiety</dt><dd>score, linearly transformed to the open unit interval.</dd>
</dl>

SA: Stress/Axiety data set

Description

Usage

Arguments

Format

References

Examples