Title: Multiple Imputation for Multivariate Data
Description: Fully parametric Bayesian multiple imputation framework for massive multivariate data of different variable types as seen in Demirtas, H. (2017) <doi:10.1007/978-981-10-3307-0_8>.
Imports: BinOrdNonNor, CorrToolBox, corpcor, Matrix, moments, norm,
Packaged: 2018-04-08 13:48:32 UTC; rawanallozi

Title: Variable Selection in the Multivariate Linear Model
Author: Marie Perrot-Dockes, Celine Levy-Leduc, Julien Chiquet
Description: It provides a novel variable selection approach in the
multivariate framework of the general linear model taking into account the dependence
that may exist between the columns of the observations matrix. For further details we
refer the reader to the paper Perrot-Dockes et al. (2017), <arXiv:1704.00076>.
Depends: R (>= 3.0.2), Matrix, glmnet, ggplot2
Packaged: 2017-04-04 15:39:35 UTC; levyleduc

Title: Variable Selection in a Multivariate Linear Model
Author: Marie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet
Description: It performs variable selection in a multivariate linear model by estimating the covariance matrix
of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion.
The method is described in the paper Perrot-Dockès et al. (2017) <arXiv:1704.00076>.
Depends: glmnet, Matrix (>= 1.2-11), parallel, tidyverse
Packaged: 2018-04-13 15:04:17 UTC; perrotdockes

Depends: glmnet, Matrix (>= 1.2-11), parallel
Packaged: 2019-03-21 09:50:51 UTC; perrot-dockes

Title: Performance of N-ary classification testing
Description: Evaluate the performance of classifying

Packaged: 2014-03-14 07:56:06 UTC; liuyuanhua

Package: MultinomialCI
License: LGPL (>= 3)
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>
BugReports: http://decsai.ugr.es/~pjvi
LazyData: false
Title: Simultaneous confidence intervals for multinomial proportions
according to the method by Sison and Glaz
Type: Package
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Description: An implementation of a method for building simultaneous
confidence intervals for the probabilities of a multinomial
distribution given a set of observations, proposed by Sison and
Glaz in their paper Sison, C.P and J. Glaz. Simultaneous
confidence intervals and sample size determination for
multinomial proportions. Journal of the American Statistical
Association, 90:366-369 (1995).  The method is an R translation
of the SAS code implemented by May and Johnson in their paper:
May, W.L. and W.D. Johnson. Constructing two-sided simultaneous
confidence intervals for multinomial proportions for small
counts in a large number of cells. Journal of Statistical
Software 5(6) (2000). Paper and code available at
http://www.jstatsoft.org/v05/i06
Version: 1.0
URL: http://decsai.ugr.es/~pjvi
Date: 2012-12-10
Depends: R (>= 2.15.0)
Collate: 'aux-fn.R' 'sison.R'
Packaged: 2012-12-07 12:06:07 UTC; Pablo
Repository: CRAN
Date/Publication: 2012-12-07 14:15:48