Description Usage Arguments Value
Iteratively adjusts training case weights using residuals for out-of-bag cases.
1 2 | Compute_deltas(OOBWeights, TRAINY, alpha = 6, method = "Tukey",
tol = 10^-6, maxiter = 1000)
|
OOBWeights |
matrix of OOB training case weights |
TRAINY |
vector of training case response values |
alpha |
tuning parameter for robust weighting. Small alpha corresponds to more aggressive robust adjustment. |
method |
should Tukey or Huber weighting function be used? |
tol |
maximal tolerance for change between iterations |
maxiter |
maximum number of iterations |
returns a list containing 1- vector of multipliers for training case weights 2- adjusted OOB training case predictions 3- number of iterations
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