metric_pove: metric_pove
In gloverd2/admr: Contains standard functions for Admiral Advance Analytics

Description Usage Arguments Value See Also Examples

Returns the proportion of variance explained by the predictions. Note: Predictions should be annualized (independent of exposure) Note: high is good. 1 is perfect model, 0 is null model, negative is worse than null model

1	metric_pove(actual, predicted, weight = NULL, na.rm = FALSE, rebase = FALSE)

`actual`	Array[Numeric] - Values we are aiming to predict.
`predicted`	Array[Numeric] - Values that we have predicted.
`weight`	Optional: Array[Numeric] - Weighting of predictions. If NULL even weighting is used
`na.rm`	Optional: boolean - If `FALSE` function will return NA is any value in NA
`rebase`	Optional: boolean - If `TRUE` predictions weighted mean will be rebased to match actual mean

Numeric: value of proportion of variance explained

Other Metrics: metric_deviance(), metric_mae(), metric_nloglik(), metric_pode(), metric_rmse()

set.seed(666)
actual <- rnorm(n = 10, mean = 10, sd = 3)
predicted <- actual + rnorm(n = 10, mean = 0, sd = 1)
weight <- pmax(rnorm(n = 10, mean = 10, sd = 1) , 0)

metric_pove(actual, predicted)
metric_pove(actual, predicted, weight)