GenderInfer: This is a Collection of Functions to Analyse Gender Differences

Implementation of functions, which combines binomial calculation and data visualisation, to analyse the differences in publishing authorship by gender described in Day et al. (2020) <doi:10.1039/C9SC04090K>. It should only be used when self-reported gender is unavailable.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	ggplot2, binom
Suggests:	dplyr, knitr, rmarkdown, testthat
Published:	2021-09-29
Author:	Rita Giordano [aut, cre], Aileen Day [aut], John Boyle [aut], Colin Batchelor [ctb], Royal Society of Chemistry [cph]
Maintainer:	Rita Giordano <giordanor at rsc.org>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	GenderInfer results

Documentation:

Reference manual:	GenderInfer.pdf
Vignettes:	GenderInfer

Downloads:

Package source:	GenderInfer_0.1.0.tar.gz
Windows binaries:	r-prerel: GenderInfer_0.1.0.zip, r-release: GenderInfer_0.1.0.zip, r-oldrel: GenderInfer_0.1.0.zip
macOS binaries:	r-prerel (arm64): GenderInfer_0.1.0.tgz, r-release (arm64): GenderInfer_0.1.0.tgz, r-oldrel (arm64): GenderInfer_0.1.0.tgz, r-prerel (x86_64): GenderInfer_0.1.0.tgz, r-release (x86_64): GenderInfer_0.1.0.tgz

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