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  "Description": "Estimates one-inflated positive Poisson (OIPP) and\none-inflated zero-truncated negative binomial (OIZTNB)\nregression models. A suite of ancillary statistical tools are\nalso provided, including: estimation of positive Poisson (PP)\nand zero-truncated negative binomial (ZTNB) models; marginal\neffects and their standard errors; diagnostic likelihood ratio\nand Wald tests; plotting; predicted counts and expected\nresponses; and random variate generation. The models and tools,\nas well as four applications, are shown in Godwin, R. T.\n(2024). \"One-inflated zero-truncated count regression models\"\narXiv preprint <doi:10.48550/arXiv.2402.02272>.",
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      "title": "One-Inflated Regression Model",
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      "title": "Summarize One-Inflated Regression Models",
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