s-jSDM
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Scalable joint species distribution modeling
When running [sjSDM_cv](https://github.com/TheoreticalEcology/s-jSDM/blob/master/sjSDM/R/sjSDM_cv.R) in parallel (using parallel::parLapply), it appears that the sub_tune_samples object is not passed to each worker. Instead, each worker seems to handle tune_samples in tune_func() with t...
The fourth corner model can be estimated from the effects and standard errors using a meta regression: ``` library(gllvm) library(sjSDM) library(mvabund) data(antTraits) y
As discussed, rescaling may be problematic, potentially could be solved via conditional predictions and binomial likelihood
Hi, I was exploring the option to fit a gaussian distribution to my abundance data (324 sites x 600 species). The model runs, however later anova and Rsquared functions are...
Hi Max, I showing a few people the internal structure analysis yesterday, and the pictures in the vignette are just too small, it's super difficult to read the text etc....