Robust Mixture Regression

r package

r package link [https://cran.r-project.org/web/packages/RobMixReg/index.html]

manual document [https://cran.r-project.org/web/packages/RobMixReg/RobMixReg.pdf]

• License:
• Download:

Robust Mixture Regression Plot (with outliers)

Add Regresseion Line

Install from CRAN

install.packages("RobMixReg)
library("RobMixReg")

Install from github for most updated package.

Please report the bug as the description in the Question&Problem.

library("devtools")
devtools::install_github("changwn/RobMixReg")

Example

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='TLE', formula=formula01, data=example_data01)
res_rmr = rmr(lr.method='CTLE', formula=formula01, data=example_data01)
res_rmr = rmr(lr.method='mixbi', formula=formula01, data=example_data01)
res_rmr = rmr(lr.method='mixLp', formula=formula01, data=example_data01)

# simuData
example_data02 <- simuData[,1:3]
formula02=as.formula("y~X1+X2")

res_rmr = rmr(lr.method='flexmix', formula=formula01, data=example_data01, nc=3)
res_rmr = rmr(lr.method='TLE', formula=formula01, data=example_data01, nc=3,tRatio=0.05)
res_rmr = rmr(lr.method='CTLE', formula=formula01, data=example_data01, nc=3)
res_rmr = rmr(lr.method='mixbi', formula=formula01, data=example_data01, nc=3)
res_rmr = rmr(lr.method='mixLp', formula=formula01, data=example_data01, nc=3)

Questions & Problems

If you have any questions or problems, please feel free to open a new issue here. We will fix the new issue ASAP. You can also email the maintainers and authors below.

• Wennan Chang ([email protected])

PhD candidate at BDR group, Indiana University School of Medicine

• Sha Cao ([email protected])

Assistant Professor

Department of Biostatistics, Indiana University School of Medicine