Hi David,
I'm sorry. I'm not familiar with posting problems on helppages.
As the data I deal with is confidential I can't provide all details,
but I will try to be as precise as possible about my problem:
As I said I'm working on a Poisson regression model with a linear
predictor and the identit
Hi all,
I am dealing with a problem about my linear Poisson regression model
(link function=identity).
I am using the glm()-function which results in negative coefficients,
but a negative influence of the regressors wouldn't make sense.
(i) Is there a possibility to set constraints on the
or similar functions)?
(ii) Is there a Bayesian version of the glm()-function where I can
specify the prior distribution for my regression parameters?
Thanks in advance!
Kind regards,
Mara Pfleiderer
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