Penalized regression for generalized linear models for measurement error problems (aka. errorsinvariables). The package contains a version of the lasso (L1penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Package details 


Author  Oystein Sorensen 
Maintainer  Oystein Sorensen <oystein.sorensen.19[email protected]> 
License  GPL3 
Version  0.2.1 
URL  https://github.com/osorensen/hdme 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.