Type: Package
Package: treecm
LazyLoad: yes
License: GPL-2
Title: Centre of Mass Assessment and Consolidation of Trees
Author: Marco Bascietto <marco.bascietto@entecra.it>
Maintainer: Marco Bascietto <marco.bascietto@entecra.it>
Description: The centre of mass is a crucial data for arborists in order to
consolidate a tree using steel or dynamic cables. Given field-recorded data
on branchiness of a tree, the package: (i) computes and plots the centre of
mass of the tree itself, (ii) computes branches slenderness coefficient in
order to aid the arborist identify potentially dangerous branches, and
(iii) computes the force acting on a ground plinth and its best position
relating to the tree centre of mass, should the tree need to be stabilized
by a steel cable.
Version: 1.2.2
URL: https://github.com/mbask/treecm
Date: 2015-12-15
Imports: plyr
Suggests: ggplot2, reshape2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-12-15 10:37:33 UTC; bask
Repository: CRAN
Date/Publication: 2015-12-15 16:55:47
Package: treelet
Type: Package
Title: An Adaptive Multi-Scale Basis for High-Dimensional, Sparse and
Unordered Data
Version: 1.1
Date: 2015-02-10
Author: Di Liu and Trent Gaugler
Maintainer: Trent Gaugler <gauglert@lafayette.edu>
Description: Treelets provides a novel construction of multi-scale bases that extends
wavelets to non-smooth signals. It returns a multi-scale orthonormal
basis, where the final computed basis functions are supported
on nested clusters in a hierarchical tree. Both the tree and
the basis, which are constructed simultaneously, reflect the
internal structure of the data.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2015-02-10 19:41:11 UTC; gauglert
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-11 00:37:29
Package: treeperm
Type: Package
Title: Exact and Asymptotic K Sample Permutation Test
Version: 1.6
Date: 2015-04-22
Author: Qiao Kang <qk@st-andrews.ac.uk>
Maintainer: Qiao Kang <qk@st-andrews.ac.uk>
Depends: R (>= 2.14.1)
Description: An implementation of permutation tests in R, supporting both exact and asymptotic K sample test of data locations. The p value of exact tests is found using tree algorithms. Tree algorithms treat permutations of input data as tree nodes and perform constraint depth-first searches for permutations that fall into the critical region of a test systematically. Pruning of tree search and optimisations at C level enable exact tests for certain large data sets.
License: GPL-2
Packaged: 2015-04-22 16:47:23 UTC; sony
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-04-22 22:49:55
Package: treeplyr
Type: Package
Title: 'dplyr' Functionality for Matched Tree and Data Objects
Version: 0.1.2
Date: 2016-06-23
Author: Josef Uyeda
Maintainer: Josef Uyeda <josef.uyeda@gmail.com>
Description: Matches phylogenetic trees and trait data, and
allows simultaneous manipulation of the tree and data using 'dplyr'.
License: GPL-2 | GPL-3
Depends: ape (>= 3.0-6), dplyr, R (>= 2.15.0)
Imports: Rcpp (>= 0.10.3), lazyeval, phytools, geiger
LinkingTo: Rcpp
URL: https://github.com/uyedaj/treeplyr
BugReports: https://github.com/uyedaj/treeplyr/issues
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-24 01:52:38 UTC; josef
Repository: CRAN
Date/Publication: 2016-06-24 07:30:54
Package: trelliscope
Type: Package
Title: Create and Navigate Large Multi-Panel Visual Displays
Version: 0.9.4
Date: 2016-03-23
Authors@R: c(person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
person("Jeremiah", "Rounds", role = "ctb"),
person("Barret", "Schloerke", role = "ctb"),
person("Landon", "Sego", role = "ctb"))
Maintainer: Ryan Hafen <rhafen@gmail.com>
Description: An extension of Trellis Display that enables creation,
organization, and interactive viewing of multi-panel displays created
against potentially very large data sets. The dynamic viewer tiles
panels of a display across the screen in a web browser and allows the
user to interactively page through the panels and sort and filter them
based on "cognostic" metrics computed for each panel. Panels can be
created using many of R's plotting capabilities, including base R
graphics, 'lattice', 'ggplot2', and many 'htmlwidgets'. Conditioning is
handled through the 'datadr' package, which enables 'Trelliscope' displays
with potentially millions of panels to be created against terabytes of
data on systems like 'Hadoop'. While designed to scale, 'Trelliscope'
displays can also be very useful for small data sets.
URL: http://tessera.io/docs-trelliscope
BugReports: https://github.com/tesseradata/trelliscope/issues
License: BSD_3_clause + file LICENSE
LazyData: yes
NeedsCompilation: no
Depends: R (>= 3.0.0), datadr (>= 0.8.5),
Imports: lattice (>= 0.20-23), ggplot2, data.table, base64enc, shiny
(>= 0.12.0), htmlwidgets (>= 0.5.0), digest, jsonlite, hexbin, png, rsconnect
Suggests: Cairo, dplyr, testthat (>= 0.11.0), roxygen2 (>= 5.0.1), scagnostics, housingData
RoxygenNote: 5.0.1
Packaged: 2016-03-25 00:45:57 UTC; hafen
Author: Ryan Hafen [aut, cre],
Jeremiah Rounds [ctb],
Barret Schloerke [ctb],
Landon Sego [ctb]
Repository: CRAN
Date/Publication: 2016-03-25 20:01:08
providing 
.