Fit Robust Linear Model

Returns a matrix by rows, with the intercept and coefficient of a robust linear model fitted to the input data. Reverts to a standard linear model in case of no convergence.

fit.robust.linear.model(
  x.data,
  y.data,
  x.name,
  y.name,
  max.iter = 100,
  fix.unmix = FALSE
)

Arguments

x.data

A vector containing the predictor variable data.

y.data

A vector containing the response variable data.

x.name

The name of the predictor variable.

y.name

The name of the response variable.

max.iter

Numeric. Maximum number of iterations for the robust linear model. Default is 100.

fix.unmix

Logical, default is FALSE. If TRUE, sets coefficient to zero in case of failed convergence. Used for fix.my.unmix.

Value

A vector with the intercept and coefficient.