Contents
What kind of relationship does a GLM family have?
GLM families comprise a link function as well as a mean-variance relationship. For Poisson GLMs, the link function is a log, and the mean-variance relationship is the identity.
How to determine the dependent variable for GLMM?
When modeling data sampled in the field, I often come across the problem of determining the Family of the dependent variable for GLM (or GLMM). An example: in an ecological study, I have ~ 60 patches. I have sampled territories of an animal species within these patches as well as a set of explanatory variables.
What’s the difference between GLM family and Gaussian family?
There is a hard-wired option for this, specified via family=”gaussian” (which is also the default for glmnet ). Now we can also use family = gaussian () to fit the same model. glmnet distinguishes these two cases because the first is a character string, while the second is a GLM family object.
What are the three parts of a GLM?
A GLM consists of 3 parts: A random component: y i ∼ f ( y ∣ μ i). The user gets to specify the link function g and the family of response distributions f ( ⋅ ∣ μ), and fitting a GLM amounts to estimating the parameter β by maximum likelihood.
When to use optional family function for GLm fitting in R?
When fitting GLMs in R, we need to specify which family function to use from a bunch of options like gaussian, poisson, binomial, quasi, etc. I would like to have your advice regarding how to determine the optional family function used for GLM fitting in R. Thanks! Join ResearchGate to ask questions, get input, and advance your work.
How to choose the best model in GLM-Statalist?
While it is certainly possible to use them to judge between different glm families, in Generalized Linear Models and Extensions by James Hardin and Joseph Hilbe, the authors state in section One should take care on how this statistic is calculated. The above definition includes the model log likelihood.