DESCRIPTION

Package: hdme
Type: Package
Title: High-Dimensional Regression with Measurement Error
Version: 0.6.0
Encoding: UTF-8
Authors@R: c(person("Oystein", "Sorensen", 
                    email = "oystein.sorensen.1985@gmail.com", 
                    role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0003-0724-3542")))
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
RoxygenNote: 7.2.3
Imports:
  glmnet (>= 3.0.0), 
  ggplot2 (>= 2.2.1),
  Rdpack, 
  Rcpp (>= 0.12.15),
  Rglpk (>= 0.6-1),
  rlang (>= 1.0),
  stats
URL: https://github.com/osorensen/hdme
RdMacros: Rdpack
Suggests: 
    knitr,
    rmarkdown,
    testthat,
    dplyr,
    tidyr,
    covr
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo