An R interface to the OpenBSD 'blowfish' password hashing algorithm,
as described in "A Future-Adaptable Password Scheme" by Niels Provos. The
implementation is derived from the 'py-bcrypt' module for Python which is a
wrapper for the OpenBSD implementation.

c(
person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("cre", "aut")),
person("Damien", "Miller", role = "cph"),
person("Niels", "Provos", role = "cph")
)
Bindings to the 'blowfish' password hashing algorithm derived from
the 'OpenBSD' implementation.

Bayesian Compressive Sensing Using Laplace Priors
person("Matt", "Goodwin", email = "gmatt18@gmail.com",
role = c("aut", "cre"))
A Bayesian method for solving the compressive sensing problem.
In particular, this package implements the algorithm 'Fast Laplace' found
in the paper 'Bayesian Compressive Sensing Using Laplace Priors' by Babacan,
Molina, Katsaggelos (2010) <DOI:10.1109/TIP.2009.2032894>.

Cross-Validation for the SVD (Bi-Cross-Validation)
Methods for choosing the rank of an SVD approximation via cross
validation.  The package provides both Gabriel-style "block"
holdouts and Wold-style "speckled" holdouts.  It also includes an
implementation of the SVDImpute algorithm.  For more information about
Bi-cross-validation, see Owen & Perry's 2009 AoAS article
(at <arXiv:0908.2062>) and Perry's 2009 PhD thesis
(at <arXiv:0909.3052>).

Methods for choosing the rank of an SVD approximation via cross
validation.  The package provides both Gabriel-style "block"
holdouts and Wold-style "speckled" holdouts.  It also includes an
implementation of the SVDImpute algorithm.  For more information about
Bi-cross-validation, see Owen & Perry's 2009 AoAS article
(at http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis
(at http://arxiv.org/abs/0909.3052).

This package implements methods for choosing the rank of
an SVD approximation via cross validation.  It provides both
Gabriel-style "block" holdouts and Wold-style "speckled"
holdouts.  Also included is an implementation of the SVDImpute
algorithm.  For more information about Bi-cross-validation, see
Owen & Perry's 2009 AOAS article (at
http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis (at
http://arxiv.org/abs/0909.3052).