sdmTMB
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pbs-assess
:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB
Unfortunately, this is another one that is hard to offer an MWE for due to the model complexity, but I've found that get_index is producing NAs for the index and...
- add `pgengamma` function modified from flexsurv to use the mean (and uses `plnorm` as is done in `qres_lognormal` for Q = 0) - add `qres_gengamma` - `residuals.sdmTMB` now works...
1. Consider longterm moving to a full time vector rather than just specifying extra time elements. In tinyVAST, this is called `times`. If we move this direction we can soft...
Hello! I'm a big fan of the `sdmTMB_cv` function, but I find the likelihood-based measures that are currently returned with the function to be a bit unintuitive. For a future...
Request to generate tables of quantities of interest: fold log likelihoods, etc
We should do some testing but I'm not sure you can actually estimate the proportion very often. The Laplace approximation may not work well here. It can currently be fixed...
https://pbs-assess.github.io/sdmTMB/articles/web_only/bayesian.html `bayesian = TRUE`
When working through this [demo](https://pbs-assess.github.io/sdmTMB/articles/basic-intro.html) on a new computer and a fresh install of R (4.3.2), we are running into the following issue: ``` library(ggplot2) library(dplyr) library(sdmTMB) glimpse(pcod) mesh
This is referring to this issue, [https://github.com/pbs-assess/sdmTMB/issues/146](https://github.com/pbs-assess/sdmTMB/issues/146) The major changes are: - adding new family for the standard curve models - allowing a 2nd dataframe to be passed in (currently...
I just realized that `glm()` and glmmTMB both *always* include the offset in the prediction and *always* return the prediction on the original data no matter what `newdata` is *if*...
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:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB