Comments (2)
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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Ok so you effectively remove them, that's good
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Related Issues (20)
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