modelPreformance: calculated a bunch of model preformance metrics.
In mdavis29/fpTools: Fiscal Period Tools

calculated a bunch of model preformance metrics.

1	modelPreformance(a, p)

`a`	vector of actuals
`p`	vector of predictions, same length as actuals

The following are the returned metrics

cor = pairwise complete,
r2 = cor^2 ie percent of variance explained
rmse = root mean squared error
mse = mean squared error
pvalue = from paired T Test
meanA = Actuals na.rm
meanP = Prediction na.rm
normalResids = p value from shapiro test, to test whether resids are normally distrubuted