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sam2210
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I'm analyzing count data with a negative binomial GLMM via the R package glmmTMB and lme4. I'm running DHARMa diagnostics, one of which is testing for zero inflation and I'm having some trouble interpreting the results. Here's an example of one of my outputs:

DHARMa zero-inflation test via comparison to expected zeros with simulation under H0 = fitted model

data:  simulationOutput
ratioObsSim = 1.0621, p-value = 0.4
alternative hypothesis: two.sided

And the plot: enter image description here

From my understanding, the ratio is >1 which indicates zero-inflation/more zeros than expected but the p-value is insignificant, so does that mean my model is not zero-inflated?

I'm analyzing count data with a negative binomial GLMM via the R package glmmTMB. I'm running DHARMa diagnostics, one of which is testing for zero inflation and I'm having some trouble interpreting the results. Here's an example of one of my outputs:

DHARMa zero-inflation test via comparison to expected zeros with simulation under H0 = fitted model

data:  simulationOutput
ratioObsSim = 1.0621, p-value = 0.4
alternative hypothesis: two.sided

And the plot: enter image description here

From my understanding, the ratio is >1 which indicates zero-inflation/more zeros than expected but the p-value is insignificant, so does that mean my model is not zero-inflated?

I'm analyzing count data with a negative binomial GLMM via the R package glmmTMB and lme4. I'm running DHARMa diagnostics, one of which is testing for zero inflation and I'm having some trouble interpreting the results. Here's an example of one of my outputs:

DHARMa zero-inflation test via comparison to expected zeros with simulation under H0 = fitted model

data:  simulationOutput
ratioObsSim = 1.0621, p-value = 0.4
alternative hypothesis: two.sided

And the plot: enter image description here

From my understanding, the ratio is >1 which indicates zero-inflation/more zeros than expected but the p-value is insignificant, so does that mean my model is not zero-inflated?

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sam2210
sam2210
  • 67
  • 7

DHARMa testZeroInflation: how to interpret output?

I'm analyzing count data with a negative binomial GLMM via the R package glmmTMB. I'm running DHARMa diagnostics, one of which is testing for zero inflation and I'm having some trouble interpreting the results. Here's an example of one of my outputs:

DHARMa zero-inflation test via comparison to expected zeros with simulation under H0 = fitted model

data:  simulationOutput
ratioObsSim = 1.0621, p-value = 0.4
alternative hypothesis: two.sided

And the plot: enter image description here

From my understanding, the ratio is >1 which indicates zero-inflation/more zeros than expected but the p-value is insignificant, so does that mean my model is not zero-inflated?