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Runs a linearlike regression with in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.
Package details 


Author  Posthuma Partners <[email protected]> 
Maintainer  Marco Nijmeijer <[email protected]> 
License  GPL3 
Version  1.5.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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