print.summary_lmvar

For compatibility with <code><a rd-options="base" href="/link/print?package=lmvar&version=1.5.2&to=base" data-mini-rdoc="base::print">print</a></code> generic.

Print method for an object of the class 'summary_lmvar'. This object is created by <code><a rd-options="" href="/link/summary.lmvar?package=lmvar&version=1.5.2" data-mini-rdoc="lmvar::summary.lmvar">summary.lmvar</a></code>.

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.

Marco Nijmeijer

lmvar

Linear Regression with Non-Constant Variances

print.summary_lmvar function

For compatibility with <code><a rd-options='base' href='print'>print</a></code> generic.

Print method for an object of the class 'summary_lmvar'. This object is created by <code><a rd-options='' href='summary.lmvar'>summary.lmvar</a></code>.

print.summary_lmvar: Print method for the summary of an 'lmvar' object.

Description

Usage

Arguments

See Also