bellreg
0.0.2.2Count Regression Models Based on the Bell Distribution
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE2026-07-2911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-07-2710 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0810 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-04-229 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
- ERROR2026-04-188 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-309 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-289 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 8%
- Documented parameters
- 83%
- Return-value docs
- 100%
- References docs
- 19%
Downloads
Repository
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Repository practices
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Dependencies
Code & Tests
Datasets
People & History
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Package metadata
- First published
- 2020-06-26
- Total releases
- 4 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 0.9 KB / 2 files
- Download size
- 55 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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