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predict(model, sims > 0) does not currently work when there are no random effects (i.e. when sdmTMBcontrol option map_rf = F)
Fails with error message:
Rerunning TMB::sdreport() with `getJointPrec…
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See `?visreg_delta` for some examples
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I am running into an issue where I am trying to next sdmTMB_cv within another function, with designated parameters to turn on or off specific functionality.
This works:
```library(sdmTMB)
spde
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Hello!
When submitting a single loc in inla.spde.make.A, this error message is returned:
```r
library(INLA)
loc
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I’m trying to replicate my inla code with inlabru for a spde model. However, I’m not being successful.
- INLA code
group = as.matrix(as.numeric(as.factor(data[,6])))
A_point
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Hi! I'm a big fan of this package, thanks for your efforts.
I'd like to model the density of a plant species over time. In this case, the barrier model approach would be a good fit, as the areal e…
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When a spatial only model is fit (with env covariates), and a new data frame is passed in with enviro covariates varying by year, the COG time series on the future values are not generated
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See code example in p 74-77 of https://arxiv.org/abs/2103.09929
Allows for matching INLA; may help convergence in some cases.
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Dear inlabru,
Thanks to your help, I am getting results!
But one concern is that I have difficulty grouping spatial random effects and predicting with `predict` function.
For example, I have a …
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The current implementation yields an error when adding the `group` argument. Below is a minimal example. The goal is to fit a model with different seasonal pattern for each year. The patterns has a co…