Description Usage Arguments Value Author(s) Examples
View source: R/devianceGamma.R
This function calculates a deviance measure for model predictions assuming a Gamma distribution.
1 | devianceGamma(Y, Y_hat)
|
Y |
a numeric vector of observations. |
Y_hat |
a numeric vector of predictions for Y (must have same length as Y.) |
a numeric vector.
Edwin Graham <edwingraham1984@gmail.com>
1 2 3 4 5 6 7 8 9 10 | # n <- 1000
#
# true <- runif(n, 100, 2000)
# observed <- rgamma(n, true)
# predicted <- exp(log(1050)/2 + log(true)/2 + rnorm(n, sd=0.3))
#
# plot(observed, predicted)
#
# devs <- devianceGamma(observed, predicted)
# sum(devs)
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