Suggests: interp, covr, eaf, emoa, GGally, ggplot2, grid, gridExtra,

Imports: BBmisc (>= 1.7), checkmate (>= 1.1)
Suggests: emoa, lhs, irace, testthat, soobench

Authors@R: c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role =
c("aut", "cre")), person("Michel", "Lang", email =
"lang@statistik.tu-dortmund.de", role = "aut"), person("Jakob", "Bossek",
email = "jakob.bossek@tu-dortmund.de", role = "aut"), person("Daniel",
"Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"))

"michellang@gmail.com", role = "aut"), person("Jakob", "Bossek",
Imports: BBmisc (>= 1.7), checkmate (>= 1.4)

Description: Functions for parameter descriptions and operations in black-box optimization, tuning
and machine learning. Parameters can be described (type, constraints, defaults, etc.),
combined to parameter sets and can in general be programmed on.
A useful OptPath object (archive) to log function evaluations is also provided.
Imports: BBmisc (>= 1.9), checkmate (>= 1.5.1)

email = "j.bossek@gmail.com", role = "aut"), person("Daniel",
"Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"), person("Karin",
"Schork", email = "karin.schork@tu-dortmund.de", role = "aut"))
Imports: BBmisc (>= 1.9), checkmate (>= 1.6.1), methods
Suggests: akima, eaf, emoa, GGally, ggplot2, gridExtra, irace (>=
1.0.7), lhs, plyr, reshape2, soobench, testthat

Imports: BBmisc (>= 1.10), checkmate (>= 1.6.1), methods

Title: Conduct the Parent-Offspring Test Using Monomorphic SNP Markers
Author: Pengsheng Ji, Hussein Abdel-Haleem, H. Roger Boerma and Zenglu Li
Description: Conduct the Parent-Offspring Test Using Monomorphic SNP Markers. The similarity to the parents is computed for each offspring, and a plot of similarity for all offspring is produced. One can keep the offspring above some threshold for the similarity for further studies.
Packaged: 2013-09-30 04:58:46 UTC; Pengsheng

Title: The Pareto and the Piecewise Pareto Distribution
Authors@R: person("Ulrich", "Riegel", email = "ulrich.riegel@gmx.de", role = c("aut", "cre"))
Description: Utilities for the Pareto and piecewise Pareto distribution
that are useful for reinsurance pricing. In particular, the package provides
a non-trivial algorithm that can be used to match the expected losses of a
tower of reinsurance layers with a layer-independent collective risk model.
The theoretical background of the matching algorithm and most other methods