Package: Ohit
Type: Package
Title: OGA+HDIC+Trim and High-Dimensional Linear Regression Models
Version: 1.0.0
Date: 2017-09-06
Author: Hai-Tang Chiou, Ching-Kang Ing, Tze Leung Lai
Maintainer: Hai-Tang Chiou <htchiou1@gmail.com>
Imports: stats
Description: Ing and Lai (2011) <doi:10.5705/ss.2010.081> proposed a
        high-dimensional model selection procedure that comprises three
        steps: orthogonal greedy algorithm (OGA), high-dimensional
        information criterion (HDIC), and Trim. The first two steps,
        OGA and HDIC, are used to sequentially select input variables
        and determine stopping rules, respectively. The third step,
        Trim, is used to delete irrelevant variables remaining in the
        second step. This package aims at fitting a high-dimensional
        linear regression model via OGA+HDIC+Trim.
License: GPL-2
URL: http://mx.nthu.edu.tw/~cking/pdf/IngLai2011.pdf
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-09-21 10:54:59 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2017-09-06 11:01:26 UTC
RemoteUrl: https://github.com/cran/Ohit
RemoteRef: HEAD
RemoteSha: 50d8222c8542deece6d8398811db023371c870a5