mixLp-methods: mixLp : mixLp_one estimates the mixture regression parameters...
In RobMixReg: Robust Mixture Regression

Description Usage Arguments Value Examples

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

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

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

`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

Estimated coefficients of all components.

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)