Format Significance Summaries for Reports

Succinctly format significance summaries of various models and tests. The main purpose is unified reporting and planning of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.


Reference manual

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0.1.5 by John Mount, 4 days ago

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Authors: John Mount, Nina Zumel

Documentation:   PDF Manual  

GPL-3 license

Suggests parallel, knitr, rmarkdown, testthat

Imported by WVPlots.

See at CRAN