print.summary.bellreg

Bell regression models for count data with overdispersion. The implemented models account for ordinary and zero-inflated regression models under both frequentist and Bayesian approaches. Theoretical details regarding the models implemented in the package can be found in Castellares et al. (2018) <doi:10.1016/j.apm.2017.12.014> and Lemonte et al. (2020) <doi:10.1080/02664763.2019.1636940>.

Fabio Demarqui

bellreg

Count Regression Models Based on the Bell Distribution

Marcos Prates

Fredy Caceres

Andrew Johnson

print.summary.bellreg function

<dl><dt>x</dt>
<dd>an object of the class summary.bellreg.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print the summary.bellreg output — print.summary.bellreg

<dl>

<dt>x</dt>
<dd>an object of the class summary.bellreg.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

print.summary.bellreg: Print the summary.bellreg output

Description

Usage

Value

Arguments