rmr | R Documentation |
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
)
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. |
An S4 object about the regression result.
library(RobMixReg)
#library(robust)
library(flexmix)
library(robustbase)
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)
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