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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 |
| 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.
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