reproducer: Reproduce Statistical Analyses and Meta-Analyses

Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for ABBA 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.

Version: 0.1.8
Depends: R (≥ 3.1.1)
Imports: openxlsx (≥ 2.4.0), ggplot2 (≥ 2.0.0), gridExtra (≥ 0.9.1), xtable (≥ 1.7-4), metafor (≥ 1.9-2), lme4 (≥ 1.1-10), MASS (≥ 7.3-45), stats (≥ 3.2.3)
Published: 2017-02-12
Author: Lech Madeyski [cre, aut, ctb], Marian Jureczko [ctb] (Data contributor), Barbara Kitchenham [ctb] (Data and code 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 <lech.madeyski at gmail.com>
License: CC BY 4.0
URL: http://madeyski.e-informatyka.pl/reproducible-research/
NeedsCompilation: no
Citation: reproducer citation info
Materials: README NEWS
CRAN checks: reproducer results

Downloads:

Reference manual: reproducer.pdf
Package source: reproducer_0.1.8.tar.gz
Windows binaries: r-devel: reproducer_0.1.8.zip, r-release: reproducer_0.1.8.zip, r-oldrel: reproducer_0.1.8.zip
OS X Mavericks binaries: r-release: reproducer_0.1.8.tgz, r-oldrel: reproducer_0.1.8.tgz
Old sources: reproducer archive

Linking:

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