Imports: rrBLUP, BGLR, glmnet, randomForest, brnn, e1071, stringi

Authors@R: c(person("Louis Gautier", "Tran", role = "aut", email = "louis.gautier.tran@gmail.com"),
person("Gilles", "Charmet", email = "gilles.charmet@inra.fr", role = "aut"),
The R package 'BWGS' is developed by Louis Gautier Tran <louis.gautier.tran@gmail.com> and Gilles Charmet <gilles.charmet@inra.fr>.

Maintainer: Steven E. Pav <shabbychef@gmail.com>
Authors@R: c(person(c("Steven", "E."), "Pav", role=c("aut","cre"),
Title: Baumgartner Weiss Schindler Test of Equal Distributions
Description: Performs the 'Baumgartner-Weiss-Schindler' two-sample test of equal

Collate: 'bws_test.r' 'BWStest.r' 'RcppExports.R' 'zzz_murakami_dist.r'

probability distributions, <doi:10.2307/2533862>. Also performs
similar rank-based tests for equal probability distributions due to
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)

Package: BaBooN
Version: 0.0-4
Date: 2010-12-20
Title: The Bayesian Bootstrap Predictive Mean Matching Package -
Multiple and single imputation for discrete data
Author: Florian Meinfelder <florian.meinfelder@uni-bamberg.de>
Maintainer: Florian Meinfelder <florian.meinfelder@uni-bamberg.de>
Depends: R (>= 2.10.0), MASS, nnet
Description: The package contains two variants of Bayesian Bootstrap
Predictive Mean Matching to multiply impute missing data. The
first variant is a variable-by-variable imputation combining
sequential regression and Predictive Mean Matching (PMM) that
has been extended for unordered categorical data. The Bayesian
Bootstrap allows for generating approximately proper multiple
imputations. The second variant is also based on PMM, but the
focus is on imputing several variables at the same time. The
suggestion is to use this variant, if the missing-data pattern
resembles a data fusion situation, or any other
missing-by-design pattern, where several variables have
identical missing-data patterns. Both variants can be run as
'single imputation' versions, in case the analysis objective is
of a purely descriptive nature.
License: GPL (>= 2)
URL: http://www.r-project.org
Packaged: 2011-01-06 17:11:54 UTC; Florian
Repository: CRAN
Date/Publication: 2011-01-06 20:10:17