Last data update: 2014.03.03

StatMatch

Package: StatMatch
Type: Package
Title: Statistical Matching
Version: 1.2.4
Date: 2016-01-13
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <madorazi@istat.it>
Depends: R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve
Suggests: MASS, Hmisc
Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-01-13 09:03:21 UTC; UTENTE
Repository: CRAN
Date/Publication: 2016-01-13 13:54:07

● Cran Task View: OfficialStatistics
● 0 images, 17 functions, 3 datasets
Reverse Depends: 1

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'StatMatch' ...
** package 'StatMatch' successfully unpacked and MD5 sums checked
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'StatMatch'
    finding HTML links ... done
    Fbwidths.by.x                           html  
    Frechet.bounds.cat                      html  
    NND.hotdeck                             html  
    RANDwNND.hotdeck                        html  
    StatMatch-package                       html  
    comb.samples                            html  
    comp.prop                               html  
    create.fused                            html  
    fact2dummy                              html  
    gower.dist                              html  
    harmonize.x                             html  
    mahalanobis.dist                        html  
    maximum.dist                            html  
    mixed.mtc                               html  
    pBayes                                  html  
    pw.assoc                                html  
    rankNND.hotdeck                         html  
    samp.A                                  html  
    samp.B                                  html  
    samp.C                                  html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (StatMatch)
Making 'packages.html' ... done