person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("cre", "aut")),
Description: Bindings to the 'blowfish' password hashing algorithm derived from

Title: Bayesian Compressive Sensing Using Laplace Priors
Authors@R: person("Matt", "Goodwin", email = "gmatt18@gmail.com",
Description: 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,

Title: 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

Maintainer: Seyed Morteza Najibi <mor.najibi@gmail.com>

(at http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis

Description: 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
http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis (at

Title: Darwinizer: Darwin Core (DwC) Field Names Standardization
Description: The 'shiny' application 'bdDwC' makes biodiversity data field names Darwin Core compatible.
Imports: shiny, shinyBS, shinydashboard, shinyjs, shinyFiles
Author: Povilas Gibas [aut, cre] (<https://orcid.org/0000-0001-5311-6021>),

Title: Algorithms for Birth Data Analysis
Description: This package collects functions developed for density estimation, regression and simultaneous confidence bands construction, EM based on data subject to measurement errors.

Title: Algorithms for Binned/Weighted Data Analysis
Description: This package collects functions and algorithms developed
for pre-binned and weighted data analyses.