Package: oem
Type: Package
Title: Orthogonalizing EM
Version: 2.0.5
Date: 2017-03-21
Authors@R: c(
    person("Bin", "Dai", , "bdai@uwalumni.com", role = c("aut")),
    person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre")),
    person("Yixuan", "Qiu", , , c("ctb"))
    )
Maintainer: Jared Huling <jaredhuling@gmail.com>
Description: Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
URL: https://github.com/jaredhuling/oem
BugReports: https://github.com/jaredhuling/oem/issues
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.2.0), bigmemory
Imports: Rcpp (>= 0.11.0), Matrix, foreach, methods
LinkingTo: Rcpp, RcppEigen, BH, bigmemory, RcppArmadillo
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-22 03:13:50 UTC; Jared
Author: Bin Dai [aut],
  Jared Huling [aut, cre],
  Yixuan Qiu [ctb]
Repository: CRAN
Date/Publication: 2017-03-22 12:16:37 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 07:55:14 UTC; windows
Archs: i386, x64
