Package: Ohit 1.0.0

Hai-Tang Chiou
Ohit: OGA+HDIC+Trim and High-Dimensional Linear Regression Models
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.
Authors:
Ohit_1.0.0.tar.gz
Ohit_1.0.0.tar.gz(r-4.5-noble)Ohit_1.0.0.tar.gz(r-4.4-noble)
Ohit_1.0.0.tgz(r-4.4-emscripten)Ohit_1.0.0.tgz(r-4.3-emscripten)
Ohit.pdf |Ohit.html✨
Ohit/json (API)
# Install 'Ohit' in R: |
install.packages('Ohit', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:50d8222c85. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 19 2025 |
R-4.5-linux | OK | Mar 19 2025 |
R-4.4-linux | OK | Mar 19 2025 |
Exports:OGAOhitpredict_Ohit
Dependencies:
Citation
To cite package ‘Ohit’ in publications use:
Chiou H, Ing C, Lai TL (2017). Ohit: OGA+HDIC+Trim and High-Dimensional Linear Regression Models. R package version 1.0.0, https://CRAN.R-project.org/package=Ohit.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {Ohit: OGA+HDIC+Trim and High-Dimensional Linear Regression Models}, author = {Hai-Tang Chiou and Ching-Kang Ing and Tze Leung Lai}, year = {2017}, note = {R package version 1.0.0}, url = {https://CRAN.R-project.org/package=Ohit}, }