Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
Many thanks for the hard work on this package, and just wanted to report on a potential issue. After running the goodness-of-fit test function, I've been unable to create the posterior predictive check plot. I get the following error when running the vignette code:
fm_fit <- gof(fm, draws=500)
plot(fm_fit)
Error in as.double(y) :
cannot coerce type 'S4' to vector of type 'double'
I also see this error when running my own occupancy models. Here's my session info if that's helpful:
> sessionInfo()
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22621)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8 LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
time zone: America/Chicago
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ubms_1.2.6 unmarked_1.3.2
Nevermind, I started a new R session and it is working now that I've only loaded ubms. Must've been a conflict with the plot() function in another package.
Hello Ken,
Many thanks for the hard work on this package, and just wanted to report on a potential issue. After running the goodness-of-fit test function, I've been unable to create the posterior predictive check plot. I get the following error when running the vignette code:
I also see this error when running my own occupancy models. Here's my session info if that's helpful:
Thanks!
Jay