Description Usage Arguments Value References See Also Examples
Compute the scale equivariant functional Mestimator as described in Centofanti et al. (2021).
1 2 3 4 5 6 7 8 9 
X 
Either an object of class 
family 
The family of loss function for the calculation of the equivariant functional Mestimator. The values allowed are "bisquare" for the bisquare or Tukey's biweight family of loss functions; "huber" for the the Huber's family of loss functions; "optimal" for the optimal family of loss functions; "hampel" for the the Hampel's family of loss functions; "median" for the median loss function. A nonrobust functional estimator of the mean based on the standard least squares loss function is used with the value "mean". Default is "bisquare". 
eff 
Asymptotic efficiency of the equivariant functional Mestimator. When 
maxit 
The maximum number of iterations allowed in the reweighted leastsquares algorithm to compute the equivariant functional Mestimator. 
tol 
The tolerance for the stopping condition of the reweighted leastsquares algorithm to compute the equivariant functional Mestimator.
The algorithm stops when the relative variation of the weighted norm sum between two consecutive iterations is less than 
mu0_g 
Initial estimate used in reweighted leastsquares algorithm to compute the equivariant functional Mestimator. If NULL the standard nonrobust functional mean is used. Default is NULL. 
sig0_g 
Estimate of the standard error of 
A list containing the following arguments:
mu
: The scale equivariant functional Mestimator .
mu0_g
: mu0_g
.
sig0_g
: sig0_g
.
Centofanti, F., Colosimo, B.M., Grasso, M.L., Menafoglio, A., Palumbo, B., Vantini, S. (2021). Robust Functional ANOVA with Application to Additive Manufacturing. arXiv preprint arXiv:2112.10643.
1 2 3 4  library(rofanova)
data_out<simulate_data(scenario="oneway")
X_fdata<data_out$X_fdata
per_list_median<fusem(X_fdata)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.