poissonreg enables the parsnip package to fit various types of Poisson regression models including ordinary generalized linear models, simple Bayesian models (via rstanarm), and two zero-inflated Poisson models (via pscl).
You can install the released version of poissonreg from CRAN with:
Install the development version from GitHub with:
A log-linear model for categorical data analysis:
library(poissonreg) #> Loading required package: parsnip # 3D contingency table from Agresti (2007): poisson_reg() %>% set_engine("glm") %>% fit(count ~ (.)^2, data = seniors) #> parsnip model object #> #> Fit time: 6ms #> #> Call: stats::glm(formula = count ~ (.)^2, family = stats::poisson, #> data = data) #> #> Coefficients: #> (Intercept) marijuanayes #> 5.6334 -5.3090 #> cigaretteyes alcoholyes #> -1.8867 0.4877 #> marijuanayes:cigaretteyes marijuanayes:alcoholyes #> 2.8479 2.9860 #> cigaretteyes:alcoholyes #> 2.0545 #> #> Degrees of Freedom: 7 Total (i.e. Null); 1 Residual #> Null Deviance: 2851 #> Residual Deviance: 0.374 AIC: 63.42
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