Comments (4)
I can't reproduce this error using the example data fssm
in v 0.4.0 (CRAN) or GitHub 0.4.01 (master) and 0.4.01-2 (staging):
data(fssm)
dmp <- grab(fssm, "predicted", as_sf=FALSE)
dmp <- dmp[, c("id", "date", "lon", "lat")]
fmp1 <- fit_mpm(dmp, model = "jmpm")
fmp2 <- fit_mpm(dmp, model = "mpm")
Not sure which version you're using, but try re-install. If error persists then try re-install of tidyverse
or at least dplyr
- might be a corrupt namespace
issue?
Only other issue is that using model = 'jmpm'
shouldn't result in 10 convergence results, it should result in 1. using model = 'mpm'
should result in 10!
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by any chance was plocs
a tibble
grouped by id
? I've just had the same error but only when input is a grouped tibble
.
from animotum.
pushed a fix to foieGras@staging
for cases where input data is a grouped_df
, fit_mpm
now handles grouped and ungrouped input data appropriately based on whether model = "jmpm"
or model = "mpm"
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going to close this issue if there are no other related problems
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