Runs a linear-like 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.
|Author||Posthuma Partners <email@example.com>|
|Maintainer||Marco Nijmeijer <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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