Package: oneinfl 1.0.0
oneinfl: Estimates OIPP and OIZTNB Regression Models
Estimates one-inflated positive Poisson (OIPP) and one-inflated zero-truncated negative binomial (OIZTNB) regression models. A suite of ancillary statistical tools are also provided, including: estimation of positive Poisson (PP) and zero-truncated negative binomial (ZTNB) models; marginal effects and their standard errors; diagnostic likelihood ratio and Wald tests; plotting; predicted counts and expected responses; and random variate generation. The models and tools, as well as four applications, are shown in Godwin, R. T. (2024). "One-inflated zero-truncated count regression models" arXiv preprint <arxiv:2402.02272>.
Authors:
oneinfl_1.0.0.tar.gz
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oneinfl.pdf |oneinfl.html✨
oneinfl/json (API)
# Install 'oneinfl' in R: |
install.packages('oneinfl', repos = c('https://rtgodwin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rtgodwin/oneinfl/issues
Last updated 2 months agofrom:5a9a0d99ad. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 09 2025 |
R-4.5-win | OK | Mar 09 2025 |
R-4.5-mac | OK | Mar 09 2025 |
R-4.5-linux | OK | Mar 09 2025 |
R-4.4-win | OK | Mar 09 2025 |
R-4.4-mac | OK | Mar 09 2025 |
R-4.4-linux | OK | Mar 09 2025 |
R-4.3-win | OK | Mar 09 2025 |
R-4.3-mac | OK | Mar 09 2025 |
Exports:marginsoneinfloneLRToneplotoneWaldroipproiztnbrppsignifWaldtruncreg
Dependencies: