A package for enhanced S3-based object oriented
programming. Major focal points include: simplified
constructors; enhanced primitives (enhanced lists, environments
and vectors), with an alternative attribute system; and object
referencing.

A package for enhanced S3 programming, including
simplified constructors, enhanced functions, enhanced vectors
and object references.

A package for enhanced S3 programming, including mixing
object oriented programming with numerical programming.

This R package contains redefinitions of most
base/graphics generics (without object/x as their first
argument), enhanced functions (for object-functional
programming, mixing object oriented programming with functional
programming) and other related utility functions. This R
package is designed to strongly reflect classical R ("S3")
programming, while, supporting some object oriented programming
principles.

Biclustering via sparse singular value decomposition
incorporating stability selection
The main function s4vd performs a biclustering via sparse
singular value decomposition with a nested stability selection.
The results is an biclust object and thus all methods of the
biclust package can be applied.

Biclustering via Sparse Singular Value Decomposition
Incorporating Stability Selection
The main function s4vd() performs a biclustering via sparse
singular value decomposition with a nested stability selection.
The results is an biclust object and thus all methods of the
biclust package can be applied.

Akaike Information Criterion for Sparse Estimation
c(person(given = "Shuichi",
family = "Kawano",
role = c("aut", "cre"),
email = "skawano@math.kyushu-u.ac.jp",
comment = c(ORCID = "0000-0002-0804-0141")),
person(given = "Yoshiyuki",
family = "Ninomiya",
role = "aut"))
Shuichi Kawano [aut, cre] (<https://orcid.org/0000-0002-0804-0141>),
Yoshiyuki Ninomiya [aut]
Computes the Akaike information criterion for the generalized linear models (logistic regression, Poisson regression, and Gaussian graphical models) estimated by the lasso.