Categorical Outcome GLM-Approach
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Hello,
besides the approach where a binary or ordinal outcome is modelled via a threshold model: is it possible to model a regression with a binary outcome using a probit or logit link function like in the Generalized Linear Model (GLM) framework? If so: Could you give me a hint how to implement it?
Thanks!
is probit
"is modelled via a threshold model" -- This is the probit model. Link functions, like with the GLM framework, are not available. However, OpenMx can do IRT models. See [ifaTools](https://cran.r-project.org/package=ifaTools)
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Alright, thanks for the
Alright, thanks for the information!
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