Eric Ward
Eric Ward
Thanks for all the work on `brms` Paul -- it's an outstanding package. I know `brms` can handle zero-inflated proportions. Some collaborators and I recently developed a model for responses...
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
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?
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...
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
Initial development in CAR branch: To do list: - spatial and spatiotemporal components currently included, with the latter as IID. Does it make sense to also include AR(1)? - matrix.inverse()...
Just ran across the sigma() function in glmmTMB. Seems useful for nbinom2, etc. Also in lme4 https://github.com/glmmTMB/glmmTMB/blob/41a8abcd99692d6fe9e7d82f454e4ec57ab3f162/glmmTMB/R/VarCorr.R#L87
Request to generate tables of quantities of interest: fold log likelihoods, etc