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Rrepest: An Analyzer of International Large Scale Assessments in Education

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).

Version: 1.3.0
Depends: R (≥ 4.2.0)
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)
Published: 2023-11-24
DOI: 10.32614/CRAN.package.Rrepest
Author: Rodolfo Ilizaliturri [aut, cre], Francesco Avvisati [aut], Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri at oecd.org>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: Rrepest results

Documentation:

Reference manual: Rrepest.pdf

Downloads:

Package source: Rrepest_1.3.0.tar.gz
Windows binaries: r-devel: Rrepest_1.3.0.zip, r-release: Rrepest_1.3.0.zip, r-oldrel: Rrepest_1.3.0.zip
macOS binaries: r-release (arm64): Rrepest_1.3.0.tgz, r-oldrel (arm64): Rrepest_1.3.0.tgz, r-release (x86_64): Rrepest_1.3.0.tgz, r-oldrel (x86_64): Rrepest_1.3.0.tgz
Old sources: Rrepest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rrepest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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