This function takes a observations vector \(y\) and matching
predictions vector \(\pi\). It returns the Brier score for the
predictions. Unless specified otherwise, input containing NAs will
result with an NA.
Usage
brier_score(y, pi, na.rm = FALSE)
Arguments
y
the obsrevations vector
pi
the predictions vector
na.rm
ignore NA? (optional)
Value
The Brier score \(\frac{1}{N}\sum_{i=1}^{N}{(y_i-\pi_i)^2}\)