Description Usage Arguments Author(s) Examples
Compute the weighted Poisson loss function, which is seg.mean - count * log(seg.mean). The edge case is when the mean is zero, in which case the probability mass function takes a value of 1 when the data is 0 (and 0 otherwise). Thus the log-likelihood of a maximum likelihood segment with mean zero must be zero.
1 | PoissonLoss(count, seg.mean, weight = 1)
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count |
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seg.mean |
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weight |
Toby Dylan Hocking, Guillem Rigaill
1 2 3 4 | PoissonLoss(1, 1)
PoissonLoss(0, 0)
PoissonLoss(1, 0)
PoissonLoss(0, 1)
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[1] 1
[1] 0
[1] Inf
[1] 1
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