2.2.1), Rdpack (>= 0.7), shiny, shinyjs, TreeTools (>=
(>= 1.0.8), rgl, Rogue, spelling, testthat (>= 3.0), Ternary
(>= 1.1.2), TreeDistData (> 0.1.0), TreeSearch, Umatrix, uwot,

person("Roy", "Jonker", email = "roy_jonker@magiclogic.com",
person("Yong", "Yang", email = "yongyanglink@gmail.com",
MASS, parallel, plotly, protoclust, Quartet, readxl, rmarkdown,
Rcpp (>= 1.0.8), rgl, Rogue, spelling, testthat (>= 3.0),

Title: Terrestrial Point Cloud Processing of Forest Data
Authors@R: c(person("Tiago", "de Conto", email = "ti@forlidar.com.br", role = c("aut", "cre")))
Description: Algorithms for tree detection, noise removal, stem modelling, 3D visualization and manipulation of terrestrial 'LiDAR' (but not only) point clouds, currently focusing on high performance applications for forest inventory - being fully compatible with the 'LAS' infrastructure provided by 'lidR'. For in depth descriptions of the stem classification and segmentation algorithms check out Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.
Maintainer: Tiago de Conto <ti@forlidar.com.br>

Authors@R: c(person("Tiago", "de Conto", email = "tdc.florestal@gmail.com", role = c("aut", "cre")))
Description: High performance algorithms for manipulation of terrestrial 'LiDAR' (but not only) point clouds for use in research and forest monitoring applications, being fully compatible with the 'LAS' infrastructure of 'lidR'. For in depth descriptions of stem denoising and segmentation algorithms refer to Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.
Imports: rgl, raster, sp, deldir, dismo, nabor, benchmarkme, rlas,
Maintainer: Tiago de Conto <tdc.florestal@gmail.com>

Package: TreePar
Type: Package
Title: Estimating diversification rate changes in phylogenies
Version: 1.0
Date: 2010-06-17
Author: Tanja Stadler
Maintainer: Tanja Stadler <tanja.stadler@env.ethz.ch>
Depends: ape, TreeSim
Description: For a given phylogeny on present day data (e.g. species or
viruses), a likelihood method is provided where the maximum
likelihood speciation and extinction rates are estimated. The
method accounts for rate changes and mass extinction events:
Time is split into intervals, and in each interval, the rates
can be different. Throughout an interval, the rates stay
constant. At the end of an interval, a pre-defined fraction of
the extant species becomes extinct. No species becoming extinct
is a rate shift event without mass extinction. The method
estimates the maximum likelihood interval sizes, and the
speciation and extinction rates in each interval. Note that the
method takes into account the whole phylogeny, in particular it
accounts for the "pull of the present" effect.
License: GPL-2
LazyLoad: yes
Packaged: 2010-06-18 10:19:08 UTC; tanja
Repository: CRAN
Date/Publication: 2010-06-18 15:13:30