CTLERob {RobMixReg} | R Documentation |
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'. |
[Package RobMixReg version 1.1.0 Index]