mixLp {RobMixReg} | R Documentation |
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)
[Package RobMixReg version 1.1.0 Index]