Package: EAlasso
Type: Package
Title: Simulation Based Inference of Lasso Estimator
Version: 0.1.0
Authors@R: person("Seunghyun", "Min", email = "seunghyun@ucla.edu", role = c("aut", "cre"))
Maintainer: Seunghyun Min <seunghyun@ucla.edu>
Description: Simulation based inference of lasso estimator. It provides several 
 methods to sample lasso estimator: (a) Gaussian and wild multiplier bootstrap for 
 lasso, group lasso, scaled lasso and scaled group lasso, (b) importance sampler
 for lasso, group lasso, scaled lasso and scaled group lasso, (c) Markov chain 
 Monte Carlo sampler for lasso, (d) post-selection inference for lasso. 
 See Zhou, Q. and Min, S. (2017) <doi:10.1214/17-EJS1309> for details.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.1)
Imports: stats, graphics, gglasso, msm, mvtnorm, parallel, limSolve,
        MASS, hdi
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-01 00:20:13 UTC; seunghyunmin
Author: Seunghyun Min [aut, cre]
Repository: CRAN
Date/Publication: 2017-09-01 08:24:44 UTC
