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

In RobMixReg: Robust Mixture Regression

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'.

RobMixReg documentation built on Aug. 5, 2020, 5:08 p.m.