Package: tabula
Title: Analysis, Seriation and Visualization of Archaeological Count Data
Version: 1.2.0
Date: 2019-03-19
Authors@R: c(person("Nicolas", "Frerebeau",
                    email = "nicolas.frerebeau@u-bordeaux-montaigne.fr",
                    role = c("aut", "cre"),
                    comment = c(ORCID = "https://orcid.org/0000-0001-5759-4944")),
             person("Brice", "Lebrun",
                    email = "brice.lebrun@u-bordeaux-montaigne.fr",
                    role = c("ctb"),
                    comment = c(ORCID = "https://orcid.org/0000-0001-7503-8685")),
             person("Matthew", "Peeples",
                    email = "matthew.peeples@asu.edu",
                    role = c("ctb"),
                    comment = c(ORCID = "https://orcid.org/0000-0003-4496-623X"))
            )
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: An easy way to examine archaeological count data (artifacts, faunal 
    remains, etc.). This package includes several measures of diversity: e.g. 
    richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), diversity/dominance 
    and evenness (Brillouin, Shannon, Simpson, etc.), turnover and similarity 
    (Brainerd-Robinson, ...). Most of these methods are described and discussed 
    in Maguran (1988) <doi:10.1007/978-94-015-7358-0>. It also provides matrix 
    seriation methods (reciprocal ranking, CA-based seriation) for 
    chronological modeling and dating. The package make it easy to visualize 
    count data and statistical thresholds: rank/abundance plots, Ford (1972) 
    <isbn:0913134082> and Bertin (1977) <isbn:2082111121> diagrams, etc.
URL: http://github.com/nfrerebeau/tabula
BugReports: http://github.com/nfrerebeau/tabula/issues
Depends: R (>= 3.4)
License: GPL-3
Encoding: UTF-8
LazyData: true
Collate:
    'tabula.R'
    'AllClasses.R'
    'coerce.R'
    'AllGenerics.R'
    'data.R'
    'date.R'
    'diversity.R'
    'extract.R'
    'statistics.R'
    'plot.R'
    'rarefaction.R'
    'refine.R'
    'richness.R'
    'seriation.R'
    'seriate.R'
    'show.R'
    'similarity.R'
    'turnover.R'
    'utilities.R'
    'validate.R'
    'zzz.R'
RoxygenNote: 6.1.1
Suggests:
    covr,
    khroma,
    knitr,
    pbapply,
    rmarkdown,
    testthat
Imports:
    dplyr (>= 0.7),
    FactoMineR,
    ggplot2 (>= 3.0.0),
    grDevices,
    magrittr,
    methods,
    plyr,
    rlang,
    stats,
    tidyr,
    utils
VignetteBuilder: knitr
