Imports: dplyr, plyr, tidyr, xml2, rvest, jsonlite, RJSONIO, stringr,
Suggests: visNetwork, knitr, rmarkdown, utils, shiny, curl

Suggests: visNetwork, knitr, rmarkdown, utils, shiny, curl, testthat

Imports: rlang, plyr, dplyr, igraph, stringr, jsonlite, RJSONIO, tidyr

Title: Estimation/Multiple Imputation for Mixed Categorical and
Description: Estimation/multiple imputation programs for mixed categorical

Package: mix
Version: 1.0-2
Date: 2003-04-10
Title:  Estimation/multiple Imputation for Mixed Categorical and Continuous Data
Author: Original by Joseph L. Schafer <jls@stat.psu.edu>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Description:  Estimation/multiple imputation programs for mixed categorical
and continuous data
License: The software may be distributed free of charge and
used by anyone if credit is given. It has been tested
fairly well, but it comes with no guarantees and the
authors assume no liability for its use or misuse.
URL: http://www.stat.psu.edu/~jls/misoftwa.html

Package: mix
Version: 1.0-3
Date: 2003-05-25
Title:  Estimation/multiple Imputation for Mixed Categorical and Continuous Data
Author: Original by Joseph L. Schafer <jls@stat.psu.edu>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Description:  Estimation/multiple imputation programs for mixed categorical
and continuous data
License: The software may be distributed free of charge and
used by anyone if credit is given. It has been tested
fairly well, but it comes with no guarantees and the
authors assume no liability for its use or misuse.
URL: http://www.stat.psu.edu/~jls/misoftwa.html

Package: mix
Version: 1.0-4
Date: 2003-11-05
Title:  Estimation/multiple Imputation for Mixed Categorical and Continuous Data
Author: Original by Joseph L. Schafer <jls@stat.psu.edu>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Description:  Estimation/multiple imputation programs for mixed categorical
and continuous data
License: The software may be distributed free of charge and
used by anyone if credit is given. It has been tested
fairly well, but it comes with no guarantees and the
authors assume no liability for its use or misuse.
URL: http://www.stat.psu.edu/~jls/misoftwa.html