PoissonLoss: PoissonLoss

In PeakSegOptimal: Optimal Segmentation Subject to Up-Down Constraints

PoissonLoss

Description

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.

Usage

PoissonLoss(count, seg.mean, 
    weight = 1)

Arguments

count	count
seg.mean	seg.mean
weight	weight

Author(s)

Toby Dylan Hocking <[e-mail]> [aut, cre]

Examples

PoissonLoss(1, 1)
PoissonLoss(0, 0)
PoissonLoss(1, 0)
PoissonLoss(0, 1)

PeakSegOptimal documentation built on Oct. 2, 2024, 9:06 a.m.