version provides two optimization methods: Bayesian optimization and random

search. Instead of giving the single best model, the final output is an
ensemble of Gradient Boosted Trees constructed via the method of ensemble
Imports: doParallel, doRNG, foreach, gbm, earth

Title: Simulation of Real and Complex Numbers and Small Programming
Description: Simulate real and complex numbers from distributions of
their magnitude and arguments. Optionally, the magnitudes and/or
arguments may be fixed in almost arbitrary ways.  Small
programming utilities: check if an object is identical to NA,
count positional arguments in a call, set intersection of more
than two sets, check if an argument is unnamed.
Collate: parse_text.R sim_numbers.R isNA.R mintersect.R pad.R args.R

Description: Simulate real and complex numbers from distributions of their
magnitude and arguments. Optionally, the magnitudes and/or arguments may
be fixed in almost arbitrary ways. Plot density and distribution
functions with automatic selection of suitable regions.  Small programming
utilities: check if an object is identical to NA, count positional
arguments in a call, set intersection of more than two sets, check if an

argument is unnamed, compute the graph of S4 classes in packages.

Title: Utilities for Simulation, Plots, Quantile Functions and
Suggests: testthat (>= 3.0.0), classGraph, graph, Rgraphviz
Description: Plot density and distribution functions with automatic selection of
suitable regions. Numerically invert (compute quantiles) distribution
functions. Simulate real and complex numbers from distributions of their
be fixed in almost arbitrary ways. Create polynomials from roots given in
Cartesian or polar form. Small programming utilities: check if an object
is identical to NA, count positional arguments in a call, set
intersection of more than two sets, check if an argument is unnamed,
compute the graph of S4 classes in packages.
history.R cdf2qf.R S4utils.R pseudoInverse.R rpoly.R

Package: gcExplorer
Version: 0.9-0
Date: 2009-01-13
Author: Theresa Scharl, Ingo Voglhuber, Friedrich Leisch
Maintainer: Theresa Scharl <Theresa.Scharl@ci.tuwien.ac.at>
Title: Graphical Cluster Explorer
Description: Visualize cluster results and investigate additional
properties of clusters using interactive neighbourhood graphs. By
clicking on the node representing the cluster, information about
the cluster is provided using additional graphics or summary
statistics. For microarray data, tables with links to genetic
databases like gene ontolgy can be created for each cluster.
Depends: graphics, methods, flexclust (>= 1.0-0), Rgraphviz
Imports: flexclust, modeltools, Rgraphviz
Suggests: splines, lattice
License: GPL-2
Packaged: Tue Jan 13 19:16:25 2009; leisch