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:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB

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Specifically thinking about spatial and spatial residuals and updating plots in `vista`. Will work on this soon. Could be standalone or folded into other vignettes

enhancement
help wanted

Moving discussion here to its own thread. - `ggeffects::ggeffect()` (marginal effects based on the fixed effect covariance matrix, doesn't work for splines or breakpoints) was already working in the 'dev'...

enhancement

Will have to be outside the usual testthat folder (for now in a folder in `inst`?) or skipped in all but local runs, which might be ideal assuming it doesn't...

enhancement

In cases where newdata is the same for all time slices and is large, it would save memory and speed (faster MakeADFun call) if newdata didn't have to be expanded...

Base it off of @ericward-noaa 's example: https://pbs-assess.github.io/sdmTMB-teaching/noaa-psaw-2022/06-presence-only.html#1 https://github.com/pbs-assess/sdmTMB-teaching/blob/main/noaa-psaw-2022/06-presence-only.Rmd

enhancement

Inspiration in VAST: https://github.com/James-Thorson-NOAA/VAST/blob/7a9a3f7b84227fb41ab027ea3312df13c2035ff6/R/project_model.R Can probably build this off `sdmTMB_simulate()`. Requires extending the parameter object and re-running MakeADFun, then simulate. Faster than if done during fitting with `extra_time`.

enhancement

Probably needs a prediction helper function to pass the posterior samples through the `obj$report()` function as is done in the predict function for the joint precision matrix simulation. Should also...