sdmTMB
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pbs-assess
:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB
Hi, I was wondering if anyone had any insights into how I might pass a family variable to `sdmTMB_cv`. It seems to work with `sdmTMB()` but fails for the CV...
1. For delta model, filter out NAs for positive component internally 2. Model argument doesn't seem to be changing anything for delta models -- predictions for both components are returned....
In this example, sim_dat includes 'a1' -- but not 'a2' ``` predictor_dat
Here's a start based on the last report in rough order of importance. - [x] anisotropy with delta models - [x] sdmTMB_simulate() with IID or AR1 or RW fields -...
PFMC SSC comment regarding H&L data, though this may already be possible in sdmTMB with observation-specific random effects, e.g. y ~ year + (1|obs_id) Need to validate against Tanya's code?
First release: * [x] `usethis::use_cran_comments()` * [x] Update (aspirational) install instructions in README * [x] Proofread `Title:` and `Description:` * [x] Check that all exported functions have `@return` and `@examples`...
General feature request from PFMC SSC report -- but lots more exploration needs to be done w/respect to spatial structure in the data, covariance across age or length bins, etc...
@seananderson, adding this issue that we discussed. Looking to be able to make predictions using sdmTMB models based on spatiotemporal environmental data formatted using the stars package. This works for...
See this issue for more details: https://github.com/pbs-assess/sdmTMB/issues/95 The TMB code is there, it's just a matter of only applying the range part once if needed.
Might as well still keep the illustration of fitting them independently as well. Include showing how to use `simulate()`, `residuals()`, `predict()`, `tidy()`, etc. while picking a model or using both...
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:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB