c(
person("Patrick", "Breheny", role=c("aut","cre"), email="patrick-breheny@uiowa.edu", comment=c(ORCID="0000-0002-0650-1119")),
person("Yaohui", "Zeng", role="ctb"))
Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>),
Yaohui Zeng [ctb]

Efficient algorithms for fitting the regularization path of linear
regression, GLM, and Cox regression models with grouped penalties.  This
includes group selection methods such as group lasso, group MCP, and
group SCAD as well as bi-level selection methods such as the group
exponential lasso, the composite MCP, and the group bridge.  For more
information, see Breheny and Huang (2009) <doi:10.4310/sii.2009.v2.n3.a10>,
Huang, Breheny, and Ma (2012) <doi:10.1214/12-sts392>, Breheny and Huang
(2015) <doi:10.1007/s11222-013-9424-2>, and Breheny (2015)
<doi:10.1111/biom.12300>, or visit the package homepage
<https://pbreheny.github.io/grpreg/>.

c(
person("Patrick", "Breheny", role=c("aut","cre"), email="patrick-breheny@uiowa.edu", comment=c(ORCID="0000-0002-0650-1119")),
person("Yaohui", "Zeng", role="ctb"),
person("Ryan", "Kurth", role="ctb"))
knitr, rmarkdown, splines, survival, tinytest
Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>),
Yaohui Zeng [ctb],
Ryan Kurth [ctb]

Penalized Regression Models with Overlapping Grouped Covariates
Fit the regularization path of linear, logistic or poisson models with
overlapping grouped covariates based on the latent group lasso approach. Latent
group MCP/SCAD as well as bi-level selection methods, namely the group exponential
lasso and the composite MCP are also available. This package serves as an
extension of R package 'grpreg' (by Dr. Patrick Breheny <patrick-breheny@uiowa.edu>)
for grouped variable selection involving overlaps between groups.

Fit the regularization path of linear, logistic or Cox models with
overlapping grouped covariates based on the latent group lasso approach. Latent
group MCP/SCAD as well as bi-level selection methods, namely the group exponential
lasso and the composite MCP are also available. This package serves as an
extension of R package 'grpreg' (by Dr. Patrick Breheny <patrick-breheny@uiowa.edu>)
for grouped variable selection involving overlaps between groups.