# lmvar (1.5.0)

Linear Regression with Non-Constant Variances.

http://cran.r-project.org/web/packages/lmvar

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.

**Maintainer**:
Marco Nijmeijer

**Author(s)**: Posthuma Partners <info@posthuma-partners.nl>

**License**: GPL-3

**Uses**: Matrix, matrixcalc, maxLik, *R.rsp*, *MASS*, *testthat*, *knitr*, *rmarkdown*, *plotly*

Released over 1 year ago.