Support for Compiling Examination Tasks using the 'exams' Package

The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, B., and Zeileis, A. (2009) . Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.


Support for Compiling Examination Tasks using the 'exams' Package

The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, B., and Zeileis, A. (2009) doi:10.18637/jss.v029.i10. Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.

Reference manual

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install.packages("exams.forge")

1.0.13 by Sigbert Klinke, 8 months ago


Browse source code at https://github.com/cran/exams.forge


Authors: Sigbert Klinke [aut, cre] (ORCID: , Kleio Chrysopoulou Tseva [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports base64enc, httr, knitr, MASS, methods, magrittr, rjson, rstudioapi, spelling, stringdist, stringr, stranslate, tinytex, utils, xml2, xtable, yaml

Depends on tools, polynom

Suggests rmarkdown, exams, extraDistr, hunspell


Imported by exams.forge.data.


See at CRAN