Package: GameTheory
Type: Package
Title: Cooperative Game Theory
Version: 2.0
Date: 2015-07-15
Author: Sebastian Cano-Berlanga
Maintainer: Sebastian Cano-Berlanga <cano.berlanga@gmail.com>
Depends: lpSolveAPI, combinat, gtools, ineq, kappalab
Description: Implementation of a common set of punctual solutions for Cooperative Game Theory.
License: GPL (>= 2)
URL: http://canoberlanga.com
Suggests: R.rsp
VignetteBuilder: R.rsp
Repository: CRAN
Packaged: 2015-08-10 16:55:22 UTC; sebastian
NeedsCompilation: no
Date/Publication: 2015-08-10 19:22:22
Package: Benchmarking
Type: Package
Title: Benchmark and Frontier Analysis Using DEA and SFA
Version: 0.26
Date: 2015-7-8 ($Date: 2015-07-08 12:32:10 +0200 (on, 08 jul 2015) $)
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>
Depends: lpSolveAPI, ucminf
Imports: methods, stats, graphics, grDevices
Description: Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported. Methods for graphing the technology sets
are also included. There is also support comparative methods based
on Stochastic Frontier Analyses (SFA). In general, the methods can be
used to solve not only standard models, but also many other model
variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-07-08 14:36:25 UTC; b002961
Repository: CRAN
Date/Publication: 2015-07-08 17:44:18
Package: boostSeq
Version: 1.0
Date: 2012-08-10
Title: Optimized GWAS cohort subset selection for resequencing studies
Author: c(person("Milan Hiersche", "Developer", email =
"mihi@uni-muenster.de")
Maintainer: Milan Hiersche <mihi@uni-muenster.de>
Depends: R (>= 2.11.0), genetics, lpSolveAPI
Description: This package contains functionality to select a subsample
of a genotyped cohort e.g. from a GWAS that is preferential for
resequencing under the assumtion that causal variants share a
haplotype with the risk allele of associated variants. The
subsample is selected such that is contains risk alleles at
maximum frequency for all SNPs specified. Phentoypes can also
be included as additional variables to obtain a higher fraction
of extreme phenotypes. An arbitrary number of SNPs and/or
phentoypes can be specified for enrichment in a single
subsample.
License: GPL (>= 2)
URL: http://www.r-project.org
BugReports: mihi@uni-muenster.de
Packaged: 2012-08-10 12:37:31 UTC; milan
Repository: CRAN
Date/Publication: 2012-08-11 15:09:33
Package: TFDEA
Version: 0.9.8.3
Date: 2015-03-28
Title: Technology Forecasting using DEA (Data Envelopment Analysis)
Authors@R: c(
person("Tom", "Shott", role = c("aut", "cre"), email = "tshott@pdx.edu"),
person("Dong-Joon", "Lim", role = "aut", email="tgno3.com@gmail.com"))
Depends: R (>= 3.0.0), lpSolveAPI
License: GPL-2
Description: The TFDEA algorithm for technology forecasts when future products
will be introduced based upon their features.
It also includes DEA (Data Envelopment Analysis) functions including extensions dealing with
with infeasibility.
In addition it includes some standard technology forecasting data sets.
URL:
http://www.pdx.edu/extreme-technology-analytics/open-tfdea-r-package
Packaged: 2015-03-30 08:53:43 UTC; tshott
Author: Tom Shott [aut, cre],
Dong-Joon Lim [aut]
Maintainer: Tom Shott <tshott@pdx.edu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-30 15:07:52
Package: sdcTable
Version: 0.21.5
Date: 2016-05-20
Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in
tabular data such as primary and secondary cell suppression are covered in
this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>
URL: http://www.statistik.at
BugReports: https://github.com/bernhard-da/sdcTable/issues
Depends: stringr, methods, Rcpp (>= 0.11.0), Rglpk, lpSolveAPI
Imports: data.table
Suggests: testthat (>= 0.3)
LazyLoad: yes
LinkingTo: Rcpp
License: GPL (>= 2)
SystemRequirements: GLPK library, including -dev or -devel part
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-20 07:23:52 UTC; meindl
Repository: CRAN
Date/Publication: 2016-05-20 11:55:36
Package: safeBinaryRegression
Version: 0.1-3
Date: 2013-12-16
Title: Safe Binary Regression
Author: Kjell Konis <kjell.konis@me.com>
Maintainer: Kjell Konis <kjell.konis@me.com>
Depends: R (>= 2.9.1), lpSolveAPI (>= 5.5.0.14)
Description: Overloads the glm function in the stats package so that
a test for the existence of the maximum likelihood estimate is included
in the fitting procedure for binary regression models.
License: GPL-2
Repository: CRAN
Repository/R-Forge/Project: sbr
Repository/R-Forge/Revision: 8
Repository/R-Forge/DateTimeStamp: 2013-12-16 22:09:23
Date/Publication: 2013-12-24 20:55:29
Packaged: 2013-12-16 23:19:47 UTC; rforge
NeedsCompilation: no
Package: qVarSel
Type: Package
Title: Variables Selection for Clustering and Classification
Version: 1.0
Date: 2014-05-27
Author: Stefano Benati
Maintainer: Stefano Benati <stefano.benati@unitn.it>
Description: For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.
License: GPL-2
Depends: lpSolveAPI
Suggests: clusterGeneration, mclust
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Packaged: 2014-06-12 11:14:53 UTC; USUARIO
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-06-12 16:42:34
providing 
.