The main function of Robust Mixture Regression using five methods.

The main function of Robust Mixture Regression using five methods.

rmr(lr.method = "flexmix", formula = NULL, data = NULL, nc = 2,
  nit = 20, tRatio = 0.05, MaxIt = 200)

Arguments

lr.method

A robust mixture regression method to be used. Should be one of "flexmix", "TLE", "CTLERob", "mixbi","mixLp".

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.

nc

Number of mixture components.

nit

Number of iterations for CTLE, mixbi, mixLp.

tRatio

Trimming proportion for TLE method.

MaxIt

Maximum iteration for TLE method.

Value

An S4 object about the regression result.

Examples

library(RobMixReg)
#library(robust)
library(flexmix)
#> Loading required package: lattice
library(robustbase)
#> Warning: package ‘robustbase’ was built under R version 4.0.5
library(MASS)
library(gtools)
# gaussData
x=(gaussData$x);y=as.numeric(gaussData$y);
formula01=as.formula("y~x")
example_data01=data.frame(x,y)
res_rmr = rmr(lr.method='flexmix', formula=formula01, data=example_data01)
res_rmr = rmr(lr.method='CTLERob', formula=formula01, data=example_data01)