Package: oneinfl 1.0.1
Ryan T. Godwin
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 <doi:10.48550/arXiv.2402.02272>.
Authors:
oneinfl_1.0.1.tar.gz
oneinfl_1.0.1.tar.gz(r-4.5-noble)oneinfl_1.0.1.tar.gz(r-4.4-noble)
oneinfl_1.0.1.tgz(r-4.4-emscripten)oneinfl_1.0.1.tgz(r-4.3-emscripten)
oneinfl.pdf |oneinfl.html✨
oneinfl/json (API)
NEWS
| # Install 'oneinfl' in R: |
| install.packages('oneinfl', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 26 days agofrom:7361df4fe0. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 15 2025 |
| R-4.5-linux | OK | Feb 15 2025 |
Exports:marginsoneinfloneLRToneplotoneWaldroipproiztnbrppsignifWaldtruncreg
Dependencies:
