CTLERob-methods: CTLERob: Robust mixture regression based on component-wise...

In changwn/RMR: Robust Mixture Regression

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

Description

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

Usage

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

## S4 method for signature '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'.

changwn/RMR documentation built on March 29, 2025, 3:15 p.m.