faults

Data set taken from 1982_Hindebellreg and posteriorly analyzed by 2018_Castellaresbellreg. The data contains the number of faults in rolls of fabric of different lengths.

datasets

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

faults function

A data frame with 32 rows and 2 variables:<ul>
<li>nf: number of faults in rolls of fabric of different lengths.</li>
<li>lroll: length of the roll.</li>
</ul>

Format

Faults data set — faults

Faults data set

faults: Faults data set

Description

Arguments

Format

References