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See issue #94 |
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See issue #94 |
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Hi there,
I have a dataset with repeated sampling at each site. For instance, my
row.eff
argument would take the formula:~ (1 | Site) + (1 |Time)
For a model-based ordination, the latent variables are estimated for each row by default, i.e., a site-time combination. Would it be possible to estimate species residual correlations across site and across time separately?
I am thinking of some new argument like
lv.eff = ~ (1 | Site) + (1 |Time)
. Is this similar in philosophy to the experimentallvCor
argument?I would also like to hear from the crowd if this makes any sense at all. I could think of species might be less correlated in space but more correlated in time, if they partition habitat use across time so they could still be found in the same site across time. Thanks!
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