Package: GPC
Type: Package
Title: Generalized Polynomial Chaos
Version: 0.1
Depends: R (>= 2.7.0), randtoolbox, orthopolynom, ks, lars
Date: 2013-02-01
Author: Miguel Munoz Zuniga and Jordan Ko
Maintainer: Miguel Munoz Zuniga<miguel.munoz-zuniga@ifpen.fr>
Description: A generalized polynomial chaos expansion of a model taking as input independent random variables is achieved. A statistical and a global sensitivity analysis of the model are also carried out.
License: GPL-3
Packaged: 2014-12-18 17:17:50 UTC; munozzum
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-18 21:08:58
Package: Kernelheaping
Type: Package
Title: Kernel Density Estimation for Heaped and Rounded Data
Version: 1.6
Date: 2016-04-15
Depends: R (>= 2.15.0), MASS, ks, sparr
Imports: sp, plyr
Author: Marcus Gross
Maintainer: Marcus Gross <marcus.gross@fu-berlin.de>
Description: In self-reported or anonymised data the user often encounters
heaped data, i.e. data which are rounded (to a possibly different degree
of coarseness). While this is mostly a minor problem in parametric density
estimation the bias can be very large for non-parametric methods such as kernel
density estimation. This package implements a partly Bayesian algorithm treating
the true unknown values as additional parameters and estimates the rounding
parameters to give a corrected kernel density estimate. It supports various
standard bandwidth selection methods. Varying rounding probabilities (depending
on the true value) and asymmetric rounding is estimable as well. Additionally,
bivariate non-parametric density estimation for rounded data as well as data aggregated on areas is supported.
License: GPL-2 | GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-15 14:03:24 UTC; marcusgross
Repository: CRAN
Date/Publication: 2016-04-16 00:09:59
Package: highriskzone
Type: Package
Title: Determining and Evaluating High-Risk Zones
Version: 1.3-1
Date: 2016-03-10
Author: Heidi Seibold <Heidi.Seibold@uzh.ch>, Monia Mahling
<monia.mahling@stat.uni-muenchen.de>, Sebastian Linne
<Sebastian.Linne@campus.lmu.de>
Maintainer: Heidi Seibold <Heidi.Seibold@uzh.ch>
Depends: ks, fields, rgeos, deldir, Matrix
Imports: spatstat (>= 1.42-2), methods, stats, utils
Suggests: INLA
Additional_repositories: https://www.math.ntnu.no/inla/R/stable
Description: Functions for determining and evaluating high-risk zones and
simulating and thinning point process data, as described in 'Determining
high risk zones using point process methodology - Realization by building
an R package' (Seibold, 2012) and 'Determining high-risk zones for
unexploded World War II bombs by using point process methodology' (Mahling
et al., 2013).
License: MIT + file LICENSE
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: highriskzone
Repository/R-Forge/Revision: 83
Repository/R-Forge/DateTimeStamp: 2016-03-10 15:38:04
Date/Publication: 2016-03-11 11:30:56
NeedsCompilation: no
Packaged: 2016-03-10 15:45:39 UTC; rforge
providing 
.