Package: CompositeReliability
Title: Determine the Composite Reliability of a Naturalistic,
        Unbalanced Dataset
Version: 1.0.3
Authors@R: 
    person("Joyce", "Moonen - van Loon", , "j.moonen@maastrichtuniversity.nl", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8883-8822"))
Description: The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets. This package provides an easy-to-use solution for calculating composite reliability for different assessment types. It allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations. Overall, our approach enhances the reliability of composite assessments, making it suitable for various education contexts.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: dplyr, ggplot2, lme4, magrittr, plyr, psych, reshape2, tidyr,
        Rsolnp
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/jmoonen/CompositeReliability
BugReports: https://github.com/jmoonen/CompositeReliability/issues
NeedsCompilation: no
Packaged: 2023-08-21 12:44:14 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
    (<https://orcid.org/0000-0002-8883-8822>)
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2023-08-21 13:20:22 UTC
Built: R 4.6.0; ; 2025-10-14 03:02:34 UTC; windows
