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Estimate error with type = mixed #85

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tsbaguley opened this issue Mar 9, 2022 · 1 comment

tsbaguley commented Mar 9, 2022

I keep getting this error if I try to use type="mixed".

fit_oc <- estimate(dvp_oc, type = "mixed", prior_sd = 0.25)
BGGM: Posterior Sampling
0% 10 20 30 40 50 60 70 80 90 100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Error in estimate(dvp_oc, type = "mixed", prior_sd = 0.25) :
wishrnd(): given matrix is not symmetric positive definite

The variables have a lot of missing data so I've also tried bggm_missing where I get this (sometimes straight away and sometimes not):

Error in estimate(as.matrix(subset(Y, .imp == x)[, -1]), iter = iter, :
wishrnd(): given matrix is not symmetric positive definite

Any advice on what might be causing it?

The models estimate Ok with type-continuous, but have a mix of continuous, ordinal and binary vars (coded as ordinal).

Owner

donaldRwilliams commented Mar 9, 2022

hi. I am not sure. it might just be too much that it is having a hard time sampling. Ill take a look on my end

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