Please also provide the following information in addition to your question:
- Operating System: Windows 10
- brms Version: 2.8
I fit several models, but each of them has quite a lot of observations with pareto_k > 0.7,
so I got the warning message:
Warning message:
Found 92 observations with a pareto_k > 0.7 in model ‘fit_under1500_bl101_sos100’. With this many problematic observations, it may be more appropriate to use ‘kfold’ with argument ‘K = 10’ to perform 10-fold cross-validation rather than LOO.
However, when I try to use the kfold function, in the form
kfold(fit, K=10)
where fit is a brms model,
I get the following error:
Error: Object is not a stanreg object.
What could be the reason for that and how can I solve it?