2 years ago
#49251
Julien Beaulieu
mgcv::k.check equivalent for GAM in brms
I am doing HGAM with the brm function (brms package). For now, I kept the default k = 10, but I want to know if I should set k higher. I know that the function k.check in the mgcv package does that diagnostic, but I can't find any equivalent for brms.
Does an equivalent of mgcv::k.check exist for brms? If not how can I know if my k is sufficient? I could change it and check the fit, but I am limited in time and computer power.
Thank you!
r
gam
mgcv
brms
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