Package: RALSA
Type: Package
Title: R Analyzer for Large-Scale Assessments
Version: 1.5.5
Date: 2025-02-24 17:00
Authors@R: c(person(given = "Plamen V.",
                    family = "Mirazchiyski",
                    role = c("aut", "cre"),
                    email = "plamen.mirazchiyski@ineri.org"),
             person(given = "INERI",
                    role = "aut",
                    email = "ralsa@ineri.org"))
Author: Plamen V. Mirazchiyski [aut, cre],
  INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>
Description: 
    Download, prepare and analyze data from large-scale assessments and
    surveys with complex sampling and assessment design (see 'Rutkowski',
    2010 <doi:10.3102/0013189X10363170>). Such studies are, for example,
    international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical
    interface is available for the non-technical user.The package includes
    functions to covert the original data from 'SPSS' into 'R' data sets
    keeping the user-defined missing values, merge data from different
    respondents and/or countries, generate variable dictionaries, modify
    data, produce descriptive statistics (percentages, means, percentiles,
    benchmarks) and multivariate statistics (correlations, linear
    regression, binary logistic regression). The number of supported
    studies and analysis types will increase in future. For a general
    presentation of the package, see 'Mirazchiyski', 2021a
    (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of
    the package, see 'Mirazchiyski', 2021b (<doi:10.3390/psych3020018>).
Depends: R (>= 4.0.0)
Encoding: UTF-8
Imports: archive, DT, haven, Hmisc, data.table, foreign, ggplot2,
        import, methods, openxlsx, rclipboard, readr, rstudioapi,
        shiny, shinyFiles, shinydashboard, shinyjs, shinyWidgets,
        stringi, stringr
License: GPL-2
URL: https://ralsa.ineri.org/
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-02-24 00:42:38 UTC; plamen
Repository: CRAN
Date/Publication: 2025-02-24 12:20:02 UTC
Built: R 4.4.3; ; 2025-11-01 05:39:35 UTC; windows
