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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "RALSA" in publications use:'
type: software
license: GPL-2.0-only
title: 'RALSA: R Analyzer for Large-Scale Assessments'
version: 1.6.6
doi: 10.32614/CRAN.package.RALSA
abstract: Download, prepare and analyze data from large-scale assessments and surveys
  with complex sampling and assessment design (see 'Rutkowski', 2010 <https://doi.org/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 (<https://doi.org/10.1186/s40536-021-00114-4>). For detailed technical aspects
  of the package, see 'Mirazchiyski', 2021b (<https://doi.org/10.3390/psych3020018>).
authors:
- family-names: Mirazchiyski
  given-names: Plamen V.
  email: plamen.mirazchiyski@gmail.com
repository: https://pakom.r-universe.dev
commit: b1e4e3fd4937dff1dd52b79ddbf9fe8699219c01
url: https://ralsa.ineri.org/
date-released: '2026-04-16'
contact:
- family-names: Mirazchiyski
  given-names: Plamen V.
  email: plamen.mirazchiyski@gmail.com