MetricsWeighted: deviance_poisson – R documentation

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deviance_poisson

Poisson Deviance

Description

Weighted average of unit Poisson deviance, see reference below. Special case of Tweedie deviance with Tweedie parameter 1.

Usage

deviance_poisson(actual, predicted, w = NULL, ...)

Arguments

`actual`	Observed non-negative values.
`predicted`	Strictly positive predicted values.
`w`	Optional case weights.
`...`	Further arguments passed to `weighted_mean`.

Value

A numeric vector of length one.

References

Jorgensen, B. (1997). The Theory of Dispersion Models. Chapman & Hall/CRC. ISBN 978-0412997112.

Examples

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)

MetricsWeighted

Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

v0.5.2

GPL (>= 2)

Authors

Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]

Initial release

2021-04-16