OHPL-package

<img src="figures/logo.png?package=OHPL&version=1.4.1" style="float: right" alt="logo" width="120">
Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) tools:::Rd_expr_doi("10.1016/j.chemolab.2017.07.004"). The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.

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Ordered homogeneity pursuit lasso (OHPL)
algorithm for group variable selection proposed in Lin et al. (2017)
<DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
homogeneity structure in high-dimensional data and enjoys the
grouping effect to select groups of important variables
automatically. This feature makes it particularly useful for
high-dimensional datasets with strongly correlated variables,
such as spectroscopic data.

Nan Xiao

OHPL

Ordered Homogeneity Pursuit Lasso for Group Variable Selection

You-Wu Lin

OHPL-package function

Maintainer: Nan Xiao <a href="/link/me%40nanx.me?package=OHPL&version=1.4.1" data-mini-rdoc="OHPL::me@nanx.me">me@nanx.me</a> (<a href="https://orcid.org/0000-0002-0250-5673">ORCID</a>)
Authors:<ul>
<li>You-Wu Lin <a href="/link/lyw015813%40126.com?package=OHPL&version=1.4.1" data-mini-rdoc="OHPL::lyw015813@126.com">lyw015813@126.com</a></li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) tools:::Rd_expr_doi("10.1016/j.chemolab.2017.07.004"). The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.

OHPL: Ordered Homogeneity Pursuit Lasso for Group Variable Selection — OHPL-package

Maintainer: Nan Xiao <a href='mailto:me@nanx.me'>me@nanx.me</a> (<a href='https://orcid.org/0000-0002-0250-5673'>ORCID</a>)
Authors:<ul>
<li>You-Wu Lin <a href='mailto:lyw015813@126.com'>lyw015813@126.com</a></li>
</ul>

OHPL-package: OHPL: Ordered Homogeneity Pursuit Lasso for Group Variable Selection

Description

Arguments

Author

See Also