Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram), and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi-site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
|Author||Lech Madeyski [cre, aut, ctb], Barbara Kitchenham [ctb] (Data and code contributor), Tomasz Lewowski [ctb] (Data and code contributor), Marian Jureczko [ctb] (Data contributor), David Budgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor)|
|Maintainer||Lech Madeyski <[email protected]>|
|License||CC BY 4.0|
|Package repository||View on CRAN|
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