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"))
Plamen V. Mirazchiyski [aut, cre],
INERI [aut]
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.
data.table, openxlsx, Hmisc, stringr, foreign, gdata, readr,
stringi, shiny, shinydashboard, DT, shinyjs, shinyFiles

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>).
data.table, openxlsx, Hmisc, stringr, foreign, readr, stringi,
shiny, shinydashboard, DT, shinyjs, shinyFiles