Package: Rrepest
Title: An Analyzer of International Large Scale Assessments in
        Education
Version: 1.3.0
Authors@R: 
    c(person("Rodolfo", "Ilizaliturri", , "rodolfo.ilizaliturri@oecd.org", role = c("aut", "cre")),
    person("Francesco", "Avvisati", , "francesco.avvisati@oecd.org", role = c("aut")),
    person("Francois", "Keslair", , "francois.keslair@oecd.org", role = c("aut")))
Description: A fast way to analyze International Large-Scale Assessments (ILSAs) or any other dataset 
  that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) and/or plausible values.
  'Rrepest' contains functionalities that enable you to calculate basic statistics (means, correlations, etc.),
  frequencies, linear regression, or any other model already implemented in R that takes a data frame and weights
  as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the 
  Organization for Economic Cooperation and Development (OECD).
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: data.table (>= 1.14.8), doParallel (>= 1.0.17), dplyr (>=
        1.1.2), flextable (>= 0.7.2), foreach (>= 1.5.2), labelled (>=
        2.9.1), magrittr (>= 2.0.3), officer (>= 0.6.2), parallel (>=
        4.2.1), purrr (>= 0.3.4), stringr (>= 1.5.0), tibble (>=
        3.1.8), tidyr (>= 1.2.0)
LazyData: true
NeedsCompilation: no
Packaged: 2023-11-24 15:47:55 UTC; Ilizaliturri_R
Author: Rodolfo Ilizaliturri [aut, cre],
  Francesco Avvisati [aut],
  Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri@oecd.org>
Repository: CRAN
Date/Publication: 2023-11-24 22:30:07 UTC
Built: R 4.3.0; ; 2023-11-25 01:49:21 UTC; unix
