Description Usage Arguments Value
View source: R/gradientscore.R
Evaluate gradient score function
1 | scoreEstimation(dat, model, weightFun, dWeightFun, alpha, rho, u, p = 1)
|
dat |
|
model |
string indicating whether the model is |
weightFun |
object of class function, must be differentiable |
dWeightFun |
object of class function, gradient of weightfun |
alpha |
numeric vector of positive parameters |
rho |
numeric parameter |
u |
threshold |
p |
norm for the risk function defined in weightFun (default is l_p norm) |
estimated score value
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