r descr_models("poisson_reg", "glm")
This engine has no tuning parameters.
r uses_extension("poisson_reg", "glm", "regression")
library(poissonreg) poisson_reg() %>% set_engine("glm") %>% translate()
However, the documentation in [stats::glm()] assumes that is specific type of case weights are being used:"Non-NULL weights can be used to indicate that different observations have different dispersions (with the values in weights being inversely proportional to the dispersions); or equivalently, when the elements of weights are positive integers w_i
, that each response y_i
is the mean of w_i
unit-weight observations. For a binomial GLM prior weights are used to give the number of trials when the response is the proportion of successes: they would rarely be used for a Poisson GLM."
If frequency weights are being used in your application, the [glm_grouped()] model (and corresponding engine) may be more appropriate.
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