[R-sig-ME] alternative suggestions to glmmTMB family=beta

[Nat Holland]

I have tried to use the following model to fit beta distribution response
variable, with high frequency of data at upper end of 0 to 1.0 range of
histogram.

glmmTMB(vas2 ~ bmt + (bmt|studyid), family=list(family="beta",link="logit"))

I get the following warning messages:
Warning messages:
1: In fitTMB(TMBStruc) :
  Model convergence problem; non-positive-definite Hessian matrix. See
vignette('troubleshooting')
2: In fitTMB(TMBStruc) :
  Model convergence problem; false convergence (8). See
vignette('troubleshooting')

Reading about this on the troubleshooting pages suggests "Models with
non-positive definite Hessian matricies should be excluded from further
consideration, in general."

Any suggestions on alternative means of analyses to evaluate the above
model?

Thanks in advance,
Nat

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
J. Nathaniel Holland, Ph.D.
e-mail: jnhollandiii at gmail.com
LinkedIn:  https://www.linkedin.com/in/jnhollandiii/
Google Scholar:
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