[R-sig-ME] Years as random effect

[Abdullah Nagy]

Dear All,

I'm trying to fit a GLMM to presence absence data using binomial distribution in glmmTMB R package.

My model formula: Midden(0/1) ~ scale(Tree Height) + scale(I(Tree Height^2)) + scale(NDVI) + scale(Distance_to_quarry)+(1|ID) + (1|YEAR)
The ID is 39 level and data were collected in 2009 and 2021.

My questions are:

  1.  Is it correct to include year as crossed random effect to avoid pseudoreplication ?
  2.  When I use year as a crossed random effect, I get Unusually large Z-statistics (theta_1|YEAR.1=-5.456213), how to solve this issue ?

Thank you,
Abdullah




Abdullah Nagy
Assistant lecturer of Ecology
Al-Azhar University in Cairo
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