Maurice Aubrey [ctb] (Double Metaphone),
Kevin Atkinson [ctb] (Double Metaphone),
Lawrence Philips [ctb] (Double Metaphone)

person(given = "J.", family = "Radhamani",
person(given = "B.", family = c("Ananda Subhash"),
person(given = c("Rishi", "Kumar"), family = "Tyagi",
comment = c(url = "www.nbpgr.ernet.in")),
person(given = "Maurice", family = "Aubrey",
person(given = "Kevin", family = "Atkinson",
person(given = "Lawrence", family = "Philips",
Suggests: diagram, wordcloud, microbenchmark, XML, knitr, rmarkdown,

Suggests: diagram, wordcloud, microbenchmark, XML, httr, RCurl, knitr,

Title: Discover Probable Duplicates in Plant Genetic Resources (PGR)
searchable Keyword in Context (KWIC) index of keywords associated with
Imports: data.table (>= 1.9.3), igraph, stringdist (>= 0.5), stringi

person("Yuhui", "Yao", role = c("aut", "cre"), email = "yyao17@cba.ua.edu"),
person("Subha", "Chakraborti", role = c("ctb"), email = "schakrab@cba.ua.edu"),
person("Tyler", "Thomas", role = c("ctb"), email = "tjthomas7@crimson.ua.edu"),
person("Jason", "Parton", role = c("ctb"), email = "jmparton@cba.ua.edu"),
person("Xin", "Yang", role = c("ctb"), email = "xyang15@cba.ua.edu")
Description: The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for the basic Shewhart, the variance components and the ARMA models in R for subgrouped and individual data. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, and Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>.

person("Tyler", "Thomas", role = c("ctb"), email = "tjthomas7@crimson.ua.edu")
Description: The purpose of 'PH1XBAR' is to build a Phase I Shewhart X-Bar control chart with variance components model in R. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, and Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>.

Maintainer: A. J. Muñoz-Pajares <ajesusmp@cibio.up.pt>
Description: Provides functions to estimate the size-controlled phenotypic integration index, a novel method by Torices & Méndez (2014) to solve problems due to individual size when estimating integration (namely, larger individuals have larger components, which will drive a correlation between components only due to resource availability that might overestimate the observed measures of integration). In addition, the package also provides the classical estimation by Wagner (1984) and a bootstrapping method to test the significance of both integration indices.