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:Ryan T. Godwin [aut, cre]

oneinfl_1.0.0.tar.gz
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oneinfl_1.0.0.tgz(r-4.5-any)oneinfl_1.0.0.tgz(r-4.4-any)oneinfl_1.0.0.tgz(r-4.3-any)
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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

On CRAN:

Conda:

3.78 score 2 stars 348 downloads 10 exports 0 dependencies

Last updated 2 months agofrom:5a9a0d99ad. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:marginsoneinfloneLRToneplotoneWaldroipproiztnbrppsignifWaldtruncreg

Dependencies: