Comments (2)
ianjonsen
commented on June 16, 2024
1
yeah, that's a good, old chestnut. prefilter() currently flags subsequent observations with the same time to be ignored by the SSM, otherwise you run into estimation issues with the process error variances - multiple quantum states, dividing by 0 time, choose your poison... Still a fudge but there's no info to determine which is the most likely - maybe in the more detailed CLS Argos files but most people have dropped all those extra details by the time they come to fitting a model. I noticed that the crawl folks recommend adding small time increments to each duplicate but this also doesn't seem right
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mdsumner
commented on June 16, 2024
1
Ok so you effectively remove them, that's good
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Related Issues (20)
- pDHess in fit object sometimes returns as named list
- plot returns error without advice HOT 1
- optimiser crashes occasionally when `time.step = NA` and `model = "crw"`
- Error ellipses around mapped estimated locations HOT 2
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- fmap() not working on a single individual. HOT 2
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- Error when running fit_ssm HOT 1
- Can't load foieGras after R update to 4.1.0 HOT 3
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- Error in FUN(X[[i]], ...) : !anyNA(x) is not TRUE HOT 2
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- installation and library(aniMotum) on M2 MBP HOT 4
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