minimize_dispersion {rlme} | R Documentation |
Minimize Dispersion Function
Description
Uses optim to find regression estimates which minimize dispersion function on X and Y input matrices
Usage
minimize_dispersion(X, Y, method = "BFGS", init.guess = "quantreg",
verbose = FALSE, se = TRUE)
Arguments
X |
Input matrix |
Y |
Response vector |
method |
Method optim should use - one of "Nelder-Mead", "BFGS", "CG", "L-BFGS-B", "SANN", or "Brent". |
init.guess |
How to calculate the first regression estimate. Defaults to using quantile regression. |
verbose |
Whether to print out verbose messages. |
se |
Whether or not to calculate standard errors of regression estimates. |
Value
theta |
Regression parameter estimates |
ehat |
Regression residuals |
Author(s)
Herb Susmann
[Package rlme version 0.5 Index]