'init.R' 'quadrupen-package.R' 'quadrupen-class.R'
'quadrupen.R' 'crossval-class.R' 'crossval.R'
'stability-class.R' 'stability.R'

This package fits classical sparse regression models with
efficient active set algorithms by solving quadratic problems. Also
provides a few methods for model selection purpose (cross-validation,
stability selection).
methods, Rcpp, RcppArmadillo, reshape2, scales, grid, parallel

reshape2, methods, scales, grid, parallel

c(
person("Julien", "Chiquet", , "julien.chiquet@inra.fr", c("aut", "cre"))
)
Fits classical sparse regression models with
efficient active set algorithms by solving quadratic problems. Also
provides a few methods for model selection purpose (cross-validation,
stability selection).

Fits classical sparse regression models with
efficient active set algorithms by solving quadratic problems as described in
<arXiv:1210.2077>. Also provides a few methods for model selection purpose
(cross-validation, stability selection).

c(
person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr",
comment = c(ORCID = "0000-0002-3629-3429"))
)
Fits classical sparse regression models with
efficient active set algorithms by solving quadratic problems as described by
Grandvalet, Chiquet and Ambroise (2017) <arXiv:1210.2077>. Also provides a few
methods for model selection purpose (cross-validation, stability selection).
testthat, spelling, lars, elasticnet, glmnet
Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>)

c(person(given = "Derek",
family = "Friend",
role = c("aut", "cre", "cph"),
email = "dafriend.R@gmail.com",
comment = c(ORCID = "0000-0002-6909-8769")),
person(given = "Randolph",
family = "Voorhies",
role = "cph",
comment = "Author of included 'cereal' library"),
person(given = "Shane",
family = "Grant",
role = "cph",
comment = "Author of included 'cereal' library"),
person(given = "Juan Pedro",
family = "Bolivar Puente",
role = "cph",
comment = "Author of included 'cereal' library"))
Provides functionality for working with raster-like quadtrees
(also called “region quadtrees”), which allow for variable-sized
cells. The package allows for flexibility in the quadtree creation
process.  Several functions defining how to split and aggregate cells
are provided, and custom functions can be written for both of these
processes. In addition, quadtrees can be created using other quadtrees
as “templates”, so that the new quadtree's structure is identical to
the template quadtree. The package also includes functionality for
modifying quadtrees, querying values, saving quadtrees to a file, and
calculating least-cost paths using the quadtree as a resistance
surface.
graphics, grDevices, methods, raster, Rcpp (>= 1.0.5), stats
'CppLcpFinder-class.R' 'CppNode-class.R' 'CppQuadtree-class.R'
'classes.R' 'generics.R' 'as_data_frame.R' 'as_raster.R'
'as_vector.R' 'copy.R' 'data_documentation.R' 'extent.R'
'extract.R' 'get_neighbors.R' 'lcp.R' 'n_cells.R'
'plot_LcpFinder.R' 'plot_Quadtree.R' 'projection.R'
'qtree-exports.R' 'quadtree-package.R' 'quadtree.R'
'read_write.R' 'set_values.R' 'summary_LcpFinder.R'
'summary_Quadtree.R' 'transform_values.R'
Derek Friend [aut, cre, cph] (<https://orcid.org/0000-0002-6909-8769>),
Randolph Voorhies [cph] (Author of included 'cereal' library),
Shane Grant [cph] (Author of included 'cereal' library),
Juan Pedro Bolivar Puente [cph] (Author of included 'cereal' library)