SemiParSampleSel

Package: SemiParSampleSel
Version: 1.3
Author: Giampiero Marra, Rosalba Radice, Malgorzata Wojtys and Karol Wyszynski
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>
Title: Semiparametric Sample Selection Modelling with Continuous or
Discrete Response
Description: Routine for fitting continuous or discrete response copula sample selection models with semiparametric predictors, including linear and nonlinear effects.
Depends: R (>= 3.1.1), copula, mgcv, mvtnorm, gamlss.dist
Imports: magic, trust, VGAM, Matrix, graphics, grDevices, stats, utils
LazyLoad: yes
License: GPL (>= 2)
URL: http://www.ucl.ac.uk/statistics/people/giampieromarra
Repository: CRAN
Date/Publication: 2015-12-12 09:15:13
NeedsCompilation: no
Packaged: 2015-12-11 21:25:19 UTC; G&R

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'SemiParSampleSel' ...
** package 'SemiParSampleSel' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'SemiParSampleSel'
    finding HTML links ... done
    S.m                                     html  
    SemiParSampleSel-package                html  
    SemiParSampleSel                        html  
    SemiParSampleSelObject                  html  
    VuongClarke                             html  
    aver                                    html  
    bitsgHs                                 html  
    conv.check                              html  
    copulaBitsD                             html  
    fit.SemiParSampleSel                    html  
    ghss                                    html  
    ghssD                                   html  
    ghssDuniv                               html  
    logLik.SemiParSampleSel                 html  
    marginBitsD                             html  
    pen                                     html  
    plot.SemiParSampleSel                   html  
    post.check                              html  
    predict.SemiParSampleSel                html  
    print.SemiParSampleSel                  html  
    print.aver                              html  
    print.summary.SemiParSampleSel          html  
    resp.check                              html  
    st.theta.star                           html  
    summary.SemiParSampleSel                html  
    theta.tau                               html  
    working.comp                            html  
** building package indices
** testing if installed package can be loaded
* DONE (SemiParSampleSel)
Making 'packages.html' ... done