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DESCRIPTION
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DESCRIPTION
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Package: PGRdup
Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Version: 0.2.3.9
Authors@R: c(
person(given = "J.", family = "Aravind",
email = "[email protected]",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4791-442X")),
person(given = "J.", family = "Radhamani",
email = "[email protected]",
role = "aut"),
person(family = c("Kalyani Srinivasan"),
email = "[email protected]",
role = "aut"),
person(given = "B.", family = c("Ananda Subhash"),
email = "[email protected]",
role = "aut"),
person(given = c("Rishi", "Kumar"), family = "Tyagi",
email = "[email protected]",
role = "aut"),
person("ICAR-NBGPR",
role = "cph",
comment = c(url = "www.nbpgr.ernet.in")),
person(given = "Maurice", family = "Aubrey",
email = "[email protected]",
comment = "Double Metaphone",
role = "ctb"),
person(given = "Kevin", family = "Atkinson",
email = "[email protected]",
comment = "Double Metaphone",
role = "ctb"),
person(given = "Lawrence", family = "Philips",
comment = "Double Metaphone",
role = "ctb"))
Description: Provides functions to aid the identification of probable/possible
duplicates in Plant Genetic Resources (PGR) collections using
'passport databases' comprising of information records of each constituent
sample. These include methods for cleaning the data, creation of a
searchable Key Word in Context (KWIC) index of keywords associated with
sample records and the identification of nearly identical records with
similar information by fuzzy, phonetic and semantic matching of keywords.
Depends:
R (>= 3.0.2)
Imports:
data.table (>= 1.9.3),
igraph,
stringdist (>= 0.9.4),
stringi,
ggplot2,
grid,
gridExtra,
methods,
utils,
stats
Suggests:
diagram,
wordcloud,
microbenchmark,
XML,
httr,
RCurl,
knitr,
rmarkdown,
pander
Copyright: 2014-2023, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.3
URL: https://cran.r-project.org/package=PGRdup,
https://github.com/aravind-j/PGRdup,
https://doi.org/10.5281/zenodo.841963,
https://aravind-j.github.io/PGRdup/,
https://www.rdocumentation.org/packages/PGRdup
BugReports: https://github.com/aravind-j/PGRdup/issues