for automatically placing direct labels onto multicolor lattice or
Label positions are described using Positioning Methods
which can be re-used across several different plots.
There are heuristics for examining "trellis" and "ggplot" objects
and inferring an appropriate Positioning Method.
Suggests: MASS, inlinedocs, ggplot2 (>= 0.9.1), lattice, alphahull,
reshape2, nlme, ElemStatLearn, proto, lars, latticeExtra

Maintainer: Toby Dylan Hocking <tdhock5@gmail.com>
Title: Direct Labels for Multicolor Plots
Suggests: MASS, inlinedocs, ggplot2 (>= 2.0), lattice, alphahull, nlme,

for automatically placing direct labels onto multicolor 'lattice' or

Suggests: MASS, inlinedocs, ggplot2 (>= 2.0), rlang, lattice,
alphahull, nlme, lars, latticeExtra, dplyr
X-CRAN-Comment: Orphaned and corrected on 2020-01-29 as check problems

alphahull, nlme, ElemStatLearn, lars, latticeExtra, dplyr

alphahull, nlme, lars, latticeExtra, testthat

Suggests: MASS, knitr, markdown, inlinedocs, RColorBrewer, ggplot2 (>=
2.0), rlang, lattice, alphahull, nlme, lars, latticeExtra,

Suggests: MASS, knitr, markdown, inlinedocs, ggplot2 (>= 2.0), rlang,
lattice, alphahull, nlme, lars, latticeExtra, dplyr, ggthemes,

Title: Creates an Interactive Tree Structure of a Directory
Authors@R: person("Louis", "Sirugue", email = "lsirugue@protonmail.com", role = c("aut", "cre"))
Description: Represents the content of a directory as an interactive collapsible tree. Offers
the possibility to assign a text (e.g., a 'Readme.txt') to each folder
(represented as a clickable node), so that when the user hovers the pointer
over a node, the corresponding text is displayed as a tooltip.
Imports: collapsibleTree (>= 0.1.6), data.tree (>= 0.7.6)

Title: Dirichlet model of consumer buying behavior for marketing research
Packaged: Fri Sep  5 16:23:48 2008; fchen

Title: Build Dirichlet Process Objects for Bayesian Modelling
person("Dean", "Markwick", email="dean.markwick@talk21.com", role=c("aut", "cre")),
person("Gordon", "J. Ross", email="gordon@gordonjross.co.uk", role=c("aut"))
Description: Create Dirichlet process objects that can be used as infinite mixture models in a variety of ways.
Some examples include; density estimation, Poisson process intensity inference, hierarchical modelling and clustering.
See Teh, Y. W. (2011) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.
Packaged: 2018-01-29 10:03:39 UTC; deanmarkwick