eatRep: Educational Assessment Tools for Replication Methods (original) (raw)

Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles, mean comparisons using weighted effect coding, generalized linear models, and linear multilevel models) in complex survey designs comprising multiple imputed or nested imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.

Version: 0.15.0
Depends: R (≥ 4.1), survey (≥ 4.1-1), BIFIEsurvey, progress, lavaan (≥ 0.6-7), parallel
Imports: Hmisc, fmsb, mice (≥ 2.46), boot, car, reshape2, plyr, combinat, miceadds, tidyr, EffectLiteR, estimatr, eatTools (≥ 0.7.8), eatGADS (≥ 0.20.0), janitor, msm, lme4, utils, methods, checkmate, lifecycle, dplyr (≥ 1.0.0), future
Suggests: testthat, knitr, rmarkdown, zoo
Published: 2025-01-08
DOI: 10.32614/CRAN.package.eatRep
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich at iqb.hu-berlin.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/weirichs/eatRep,https://weirichs.github.io/eatRep/
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: eatRep results

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