CTLERob: Robust mixture regression based on component-wise adaptive trimming likelihood estimation.

Source: R/CTLE.short.rob.R

CTLERob performes robust linear regression with high breakdown point and high efficiency in each mixing components and adaptively remove the outlier samples.

CTLERob(formula, data, nit = 20, nc = 2, rlr_method = "ltsReg")

# S4 method for formula,ANY,ANY,numeric
CTLERob(formula, data, nit = 20,
  nc = 2, rlr_method = "ltsReg")

Arguments

formula

A symbolic description of the model to be fit.

data

A data frame containing the predictor and response variables, where the last column is the response varible.

nit

Number of iterations.

nc

Number of mixture components.

rlr_method

The regression methods, default is 'ltsReg'.