lmvar (1.2.1)
Linear Regression with NonConstant Variances.
http://cran.rproject.org/web/packages/lmvar
Runs a linear regression 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.
Maintainer:
Marco Nijmeijer
Author(s): Posthuma Partners <info@posthumapartners.nl>
License: GPL3
Uses: Matrix, matrixcalc, maxLik, R.rsp, MASS, testthat, knitr, rmarkdown
Released 2 months ago.
3 previous versions
 lmvar_1.2.0. Released 2 months ago.
 lmvar_1.1.0. Released 5 months ago.
 lmvar_1.0.0. Released 6 months ago.
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