Title: Interactive Charts of Nested and Hierarchical Data with 'D3.js'
Authors@R: c(person("Antoine", "Guillot", email = "antoine.guil@outlook.fr", role = c("aut", "cre")),
, comment = "d3.js library, http://d3js.org, nested treemap, icicle, zoomable circle treemap and sunb"
, comment = "Breadcrumb Code for fixed sized breadcrumb."
, comment = "Placement of labels on arcs, https://www.visualcinnamon.com/2015/09/placing-text-on-arcs.html"
Description: Builds interactive 'd3.js' hierarchical visualisation easily. D3partitionR makes it easy to build and customize sunburst, circle treemap, treemap, partition chart, ...
Imports: data.table, magrittr, htmlwidgets, functional, RColorBrewer,
Mike Bostock [aut, cph] (d3.js library, http://d3js.org, nested
treemap, icicle, zoomable circle treemap and sunb),
Susie Lu [aut, cph] (d3-legend, http://d3-legend.susielu.com/),
Kerry Rodden [aut, cph] (Breadcrumb Code for fixed sized breadcrumb.),
Nadieh Bremer [aut, cph] (Placement of labels on arcs,

person(given = "Gregoire", family = "Thomas",
Author: Gregoire Thomas [aut, cre] (<https://orcid.org/0000-0002-6247-9438>)
Description: Tools, methods and processes for the management
of analysis workflows. These lightweight solutions facilitate
structuring R&D activities. These solutions were developed to comply with FAIR
principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>,
and with ALCOA+ principles as proposed by the U.S. FDA.
Depends: R (>= 4.0.0), jsonlite, rmarkdown, openssl, utils
Suggests: roxygen2 (>= 3.1.0), testthat,usethis,knitr,

Title: Process and Data Management - FAIR
Depends: R (>= 4.0.0), jsonlite, rmarkdown, gdata, openssl, Biobase
Suggests: roxygen2 (>= 3.1.0), testthat,usethis,knitr, XLConnect, xlsx,

Depends: R (>= 4.0.0), jsonlite, rmarkdown, openssl, utils, Biobase

Title: Discriminant Analysis for Evolutionary Inference
Description: Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020, <doi:10.22541/au.159256808.83862168>), especially for population genetic structure and community structure inference. This package incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis), including Linear Discriminant Analysis of Kernel Principal Components (LDAKPC), Local (Fisher) Linear Discriminant Analysis (LFDA), Local (Fisher) Discriminant Analysis of Kernel Principal Components (LFDAKPC) and Kernel Local (Fisher) Discriminant Analysis (KLFDA). These discriminant analyses can be used to do ecological and evolutionary inference, including demography inference, species identification, and population/community structure inference.
Authors@R: c(person("Xinghu", "Qin", role=c("aut", "cre", "cph"),
biocViews: BiomedicalInformatics, ChIPSeq, Clustering, Coverage,
RNASeq, Regression, SAGE, Sequencing, Software, SystemsBiology,
Packaged: 2021-07-11 04:35:11 UTC; Qin_st_andrews
Author: Xinghu Qin [aut, cre, cph] (<https://orcid.org/0000-0003-2351-3610>)