Package: hdme
Type: Package
Title: High-Dimensional Regression with Measurement Error
Version: 0.2.0
Encoding: UTF-8
Author: Oystein Sorensen
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Description: Penalized regression for generalized linear models for
  measurement error problems (aka. errors-in-variables). The package
  contains a version of the lasso (L1-penalization) 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>).
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Imports: glmnet (>= 2.0-13), ggplot2 (>= 2.2.1), Rdpack, Rcpp (>=
        0.12.15)
URL: https://github.com/osorensen/hdme
RdMacros: Rdpack
Suggests: Rglpk (>= 0.6-1), lpSolveAPI (>= 5.5.2.0-17), knitr,
        rmarkdown, testthat, flare, igraph, dplyr, tidyr, zeallot
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-05-19 10:17:15 UTC; oyste
Repository: CRAN
Date/Publication: 2018-05-19 10:31:39 UTC
