makes predictive comparison summaries (APC and impact,
absolute and signed) by forming an data frame of pairs with
appropriate weights and then calling `ComputeApcFromPairs`.
Only works fore continuous inputs right now
Usage
GetSingleInputPredComps(predictionFunction, X, u, v, ...)
Arguments
predictionFunction
this could be a function (which
takes data frame and makes returns a vector of
predictions) or an object of class `lm`, `glm`, or
`randomForest`
X
a data frame with all inputs
u
a string naming the input of interest
v
a string naming the other inputs
...
other arguments to be passed to `GetPairs`
Value
a list with: signed (the usual Apc) and
absolute (Apc applied to the absolute value of the
differences)