Rrepest: An Analyzer of International Large Scale Assessments in
Education
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,...). It also allows for
analyses 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: |
1.5.2 |
| 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: |
2025-02-10 |
| 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:
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