An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and 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: 1.5.4 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: 2025-02-19 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Rrepest to link to this page.
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