carx
model.This is an internal function. It tests for additional outlier one at a time, for each time point, as described in
Wang and Chan (2015), adjusted for multiplicity of testing. If the test result is significant, the function
augments the location of the most significant outlier to the vector of outlier indices,
i.e, the outlier.indices
in the object returned by the function.
ot.carx(object)
a carx
object
a possibly updated object
which will have an attribute outlier.indices
denoting the indices of outliers with the new index of outlier appended, if any outlier is detected.