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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 |
Reference manual: | Rrepest.pdf |
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 |
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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.