mixLp-methods: mixLp : mixLp_one estimates the mixture regression parameters...

In changwn/RMR: Robust Mixture Regression

mixLp : mixLp_one estimates the mixture regression parameters robustly using Laplace distribution based on multiply initial value..

Description

mixLp estimates the mixture regression parameters robustly using bisquare function based on multiple initial values. The solution is found by the modal solution.

Usage

mixLp(formula, data, nc=2, nit=200)

## S4 method for signature 'formula,ANY,numeric,numeric'
mixLp(formula, data, nc = 2, nit = 20)

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.
nc	Number of mixture components.
nit	Number of iterations

Value

Estimated coefficients of all components.

Examples

library("RobMixReg")
formula01=as.formula("y~x")
x=(gaussData$x);y=as.numeric(gaussData$y);
example_data01=data.frame(x,y)
res = mixLp(formula01, example_data01, nc=2, nit=20)

changwn/RMR documentation built on March 29, 2025, 3:15 p.m.