Package: geometry
License: GPL (>= 3) + file LICENSE
Title: Mesh Generation and Surface Tesselation
Authors@R: c(person("C. B.", "Barber" , role="cph"), person("Kai", "Habel",
role=c("cph","aut")), person("Raoul", "Grasman", role=c("cph","aut")),
person("Robert B.", "Gramacy", role=c("cph","aut")), person("Andreas",
"Stahel", role=c("cph","aut")), person("David C.", "Sterratt",
role=c("cph","aut","cre"), email="david.c.sterratt@ed.ac.uk"))
Description: Makes the qhull library (www.qhull.org)
available in R, in a similar manner as in Octave and MATLAB. Qhull
computes convex hulls, Delaunay triangulations, halfspace
intersections about a point, Voronoi diagrams, furthest-site
Delaunay triangulations, and furthest-site Voronoi diagrams. It
runs in 2-d, 3-d, 4-d, and higher dimensions. It implements the
Quickhull algorithm for computing the convex hull. Qhull does not
support constrained Delaunay triangulations, or mesh generation of
non-convex objects, but the package does include some R functions
that allow for this. Currently the package only gives access to
Delaunay triangulation and convex hull computation.
Version: 0.3-6
URL: http://geometry.r-forge.r-project.org/
Date: 2015-09-04
BugReports: https://r-forge.r-project.org/tracker/?group_id=1149
Depends: R (>= 2.5.0), magic
Suggests: testthat, rgl, R.matlab, tripack
NeedsCompilation: yes
Packaged: 2015-09-09 10:46:51 UTC; sterratt
Author: C. B. Barber [cph],
Kai Habel [cph, aut],
Raoul Grasman [cph, aut],
Robert B. Gramacy [cph, aut],
Andreas Stahel [cph, aut],
David C. Sterratt [cph, aut, cre]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>
Repository: CRAN
Date/Publication: 2015-09-09 13:47:14
Package: DMR
Type: Package
Title: Delete or Merge Regressors for linear model selection.
Version: 2.0
Date: 2013-01-30
Author: Aleksandra Maj, Agnieszka Prochenka, Piotr Pokarowski
Maintainer: Aleksandra Maj <aleksandra.lucja.maj@gmail.com>
Depends: R (>= 1.8.0), magic
Description: A backward selection procedure called delete or merge
regressors (DMR) combines deleting continuous variables with
merging levels of factors. The method assumes greedy search
among linear models with set of constraints of two types:
either a parameter for a continuous variable is set to zero or
parameters corresponding to two levels of a factor are
compared. DMR is a stepwise regression procedure, where in each
step a new constraint is added according to ranking of the
hypotheses based on squared t-statistics. As a result a nested
family of linear models is obtained and the final decision is
made according to minimization of the generalized information
criterion (GIC, default BIC). The main function of the package
is DMR, which is based on hierarchical clustering. Moreover,
other functions for extensions of DMR method are given, such as
stepDMR which is based on recalculation of t-statistics in each
step and function DMR4glm for generalized linear models.
License: GPL-2
LazyLoad: yes
Packaged: 2013-02-21 11:44:32 UTC; am248424
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-21 13:19:28
Package: MM
Type: Package
Title: The multiplicative multinomial distribution
Description: Description: Various utilities for the Multiplicative
Multinomial distribution
Version: 1.6-2
Depends: R (>= 2.10.0), methods, magic, partitions, emulator, Oarray
(>= 1.4-5)
Date: 2012-02-29
Author: Robin K. S. Hankin and P. M. E. Altham
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
License: GPL-2
LazyLoad: yes
Packaged: 2013-01-10 21:25:35 UTC; rksh
Repository: CRAN
Date/Publication: 2013-01-21 12:29:25
Package: SNSequate
Type: Package
Title: Standard and Nonstandard Statistical Models and Methods for Test
Equating
Version: 1.2.1
Date: 2015-11-09
Authors@R: c(
person("Jorge", "Gonzalez Burgos", email = "jgonzale@mat.puc.cl", role = c("cre","aut")),
person("Daniel", "Acu<c3><b1>a Leon", email = "dnacuna@uc.cl", role = "ctb"))
Depends: R (>= 2.10), magic, stats
Imports: methods
Description: Contains functions to perform various models and
methods for test equating. It currently implements the traditional
mean, linear and equipercentile equating methods, as well as the
mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods.
It also supports newest methods such that local equating, kernel
equating (using Gaussian, logistic and uniform kernels) with presmoothing,
and IRT parameter linking methods based on asymmetric item characteristic
functions. Functions to obtain both standard error of equating (SEE)
and standard error of equating difference between two equating
functions (SEED) are also implemented for the kernel method of
equating.
License: GPL (>= 2)
URL: http://www.mat.puc.cl/~jgonzale
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-11-12 20:13:28 UTC; Daniel
Author: Jorge Gonzalez Burgos [cre, aut],
Daniel Acu<c3><b1>a Leon [ctb]
Maintainer: Jorge Gonzalez Burgos <jgonzale@mat.puc.cl>
Repository: CRAN
Date/Publication: 2015-11-13 08:55:45
Package: SODC
Type: Package
Title: Optimal Discriminant Clustering(ODC) and Sparse Optimal
Discriminant Clustering(SODC)
Version: 1.0
Date: 2013-05-15
Author: Yanhong Wang
Maintainer: Yanhong Wang <wangyanhongws@gmail.com>
Description: To implement two clustering methods, ODC and SODC, for
clustering datasets using optimal scoring, can also be used as
an dimension reduction tool.
License: GPL-2
Depends: magic, ppls, psych, MASS
Packaged: 2013-05-23 13:34:01 UTC; matyxwx
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-05-23 15:53:51
providing 
.