Abstract
In this study, we would like to show that the one-inflated zero-truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built-in functions when we use mean-parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.
| Original language | English |
|---|---|
| Pages (from-to) | 859-864 |
| Number of pages | 6 |
| Journal | Biometrical Journal |
| Volume | 60 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jul 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords
- count data
- mean parameterization
- one-inflation
- zero-truncation