c(
person("Lerato E", "Magosi", email = "lmagosi@well.ox.ac.uk",
role = "aut",),
person("Jemma C", "Hopewell", email = "jemma.hopewell@ndph.ox.ac.uk",
role = "aut"),
person("Martin", "Farrall", email = "mfarrall@well.ox.ac.uk",
role = "aut"),
person("Lerato E", "Magosi", email = "magosil86@gmail.com",
role = "cre")
)

foreign (>= 0.8-62), knitr (>= 1.10.5), testthat, covr

foreign (>= 0.8-62), knitr (>= 1.10.5), testthat, covr,
rmarkdown

Use this with Rscript to write ``#!'' shebang scripts that accept short and long flags/options.

Use this with Rscript to write ``#!'' shebang scripts that
accept short and long flags/options.

Allen Day Contributions from Trevor L Davis
Package designed to be used with Rscript to write ``#!''
shebang scripts that accept short and long flags/options.  Many
users will prefer using instead the package optparse which adds
extra features (automatically generated help option and usage,
support for default values, basic positional argument support).

Allen Day.
Contributions from Trevor L Davis.
Package designed to be used with Rscript to write
``#!'' shebang scripts that accept short and long flags/options.
Many users will prefer using instead the packages optparse or argparse
which add extra features like automatically generated help option and usage,
support for default values, positional argument support, etc.

Allen Day.
Contributions from Trevor L Davis and Roman Zenka.

c(person("Trevor L", "Davis", role=c("aut", "cre"), email="trevor.l.davis@gmail.com"),
person("Allen", "Day", role="aut", comment="Original package author"),
person("Roman", "Zenka", role="ctb"))
Trevor L Davis [aut, cre],
Allen Day [aut] (Original package author),
Roman Zenka [ctb]

Obtain a List of Publications from 'PubMed' and 'Google Scholar'
person(given = "Xuefei",
family = "Jia",
role = c("aut", "ctb", "cre"),
email = "xuefeij.ai@gmail.com")
Use web scraping for
'PubMed'(<https://pubmed.ncbi.nlm.nih.gov>) and 'Google Scholar'
profile page (for example
<https://scholar.google.com/citations?user=lOOV8rwAAAAJ&hl=en>) to get
all of the published information from the search page. Then placing it
on a table.
dplyr, magrittr, rvest, stringr, tibble, tidyr, xml2