Hi guys,
I have run two models, one using “Gamma” and the other “Exponential” following Martin schmettow´s book
I am not used with Bayesian statistics.
Could you help me to interpret those output??, please
How can I know if “Madre” is significant??
Thank again
Enrique
F_4
Martin Schmettow
understand how to read coefficient tables and make statements about uncertainty (ch. 5.1.1) understand linear parameter estimates for factorial models (comparison of groups, ch. 5.3) understand how to interpret coefficients of a GLM, which are on a log scale (ch. 7.2.1)
In order to interprete these results correctly, you have to:
In a nutshell, you can call an effect statistically significant (on 5% level), when its credibility interval does not include zero. This only seems to be the case for MadreJ.
Further remarks:
- you should go with the Gamma model, as it accounts for overdispersion (ch. 7.4.3).
- your model has not converged properly. There are divergent transitions, small effctive sanmple size and Rhat > 1.01. First thing I would try is using longer chains and warmups, e.g. iter = 6000, warmup = 3000.
https://www.researchgate.net/project/Book-New-statistics-for-the-design-researcher
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