Suggests: knitr, testthat, spacodiR, rmarkdown
Packaged: 2016-03-10 23:45:11 UTC; orlandoschwery

Packaged: 2016-07-26 14:16:32 UTC; orlandoschwery

Title: Explore Monophyly of Taxonomic Groups in a Phylogeny
Authors@R: c(person("Orlando", "Schwery", role=c("aut", "cre"), email="oschwery@vols.utk.edu"),
person("Brian C.", "O'Meara", role=c("aut", "ctb")),
Description: Requires rooted phylogeny as input and creates a table of genera, their monophyly-status, which taxa cause problems in monophyly etc. Different information can be extracted from the output and a plot function allows visualization of the results in a number of ways.
"MonoPhy: a simple R package to find and visualize monophyly issues." Schwery, O. & O'Meara, B.C. (2016) <doi:10.7717/peerj-cs.56>.
Suggests: knitr, testthat, paleotree, rmarkdown

Title: Functions to Fit Monotone Polynomials
Description: Functions for fitting monotone polynomials to data.
Maintainer: Berwin A. Turlach <Berwin.Turlach@gmail.com>

Title: Functions to fit monotone polynomials
Authors@R: c(person(c("Berwin", "A."), "Turlach", role=c("aut", "cre"),
email = "Berwin.Turlach@gmail.com"), person("Kevin", "Murray",
role="ctb", email = "Kevin.Murray@uwa.edu.au") )
Description: Package contains functions to fit monotone polynomials to
Author: Berwin A. Turlach [aut, cre], Kevin Murray [ctb]

Detailed discussion of the methodologies used can be
found in Murray, Mueller and Turlach (2013)
Author: Berwin A. Turlach [aut, cre] (<https://orcid.org/0000-0001-8795-471X>),

Author: Berwin A. Turlach [aut, cre] (0000-0001-8795-471X),

Author: Dennis Boos, Kevin Matthew, Jason Osborne
Description: Computes Monte Carlo standard errors for summaries of Monte Carlo output. Summaries and their standard errors are based on columns of Monte Carlo simulation output. Dennis D. Boos and Jason A. Osborne (2015) <doi:10.1111/insr.12087>.

Title: Automatic Parallelized Monte Carlo Simulations
Maintainer: Christian Hendrik Leschinski <leschinski@statistik.uni-hannover.de>
Description: Simplifies Monte Carlo simulation studies by automatically
setting up loops to run over parameter grids and parallelising
the Monte Carlo repetitions. It also generates LaTeX tables.
Packaged: 2017-03-11 11:32:33 UTC; Christian