Weighted average of unit Poisson deviance, see [1]. Special case of Tweedie deviance with Tweedie parameter 1.
deviance_poisson(actual, predicted, w = NULL, ...)
Observed non-negative values.
Strictly positive predicted values.
Optional case weights.
Further arguments passed to weighted_mean
.
A numeric vector of length one.
[1] Jorgensen, B. (1997). The Theory of Dispersion Models. Chapman & Hall/CRC. ISBN 978-0412997112.
# NOT RUN {
deviance_poisson(0:2, c(0.1, 1, 3))
deviance_poisson(0:2, c(0.1, 1, 3), w = c(1, 1, 1))
deviance_tweedie(0:2, c(0.1, 1, 3), tweedie_p = 1)
deviance_tweedie(0:2, c(0.1, 1, 3), tweedie_p = 1.01)
deviance_poisson(0:2, c(0.1, 1, 3), w = 1:3)
# }
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