Fri, 30 Sep 2011

Package vegdata updated to version 0.4 with previous version 0.3.2 dated 2011-07-02

Title: Functions to access vegetation databases (Turboveg and VegetWeb) and prepare data for analysis
Description: Handling of vegetation data sets from personal Turboveg or online VegetWeb Databases. Taxonomic harmonization of datasets with the help of the German taxonomical standard list "GermanSL".
Author: Florian Jansen
Maintainer: Florian Jansen

Diff between vegdata versions 0.3.2 dated 2011-07-02 and 0.4 dated 2011-09-30

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Package R.oo updated to version 1.8.2 with previous version 1.8.1 dated 2011-07-23

Title: R object-oriented programming with or without references
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson
Maintainer: Henrik Bengtsson

Diff between R.oo versions 1.8.1 dated 2011-07-23 and 1.8.2 dated 2011-09-30

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Package MLDS updated to version 0.3-1 with previous version 0.3-0 dated 2011-04-23

Title: Maximum Likelihood Difference Scaling
Description: Difference scaling is a method for scaling perceived supra-threshold differences. The package contains functions that allow the user to design and run a difference scaling experiment, to fit the resulting data by maximum likelihood and test the internal validity of the estimated scale.
Author: Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang
Maintainer: Ken Knoblauch

Diff between MLDS versions 0.3-0 dated 2011-04-23 and 0.3-1 dated 2011-09-30

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New package Lahman with initial version 1.0-7
Package: Lahman
Type: Package
Title: Sean Lahman's Baseball Database
Version: 1.0-7
Date: 2011-09-27
Authors@R: c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"), person(given = "Dennis", family = "Murphy", role="ctb"))
Author: Michael Friendly and Dennis Murphy
Maintainer: Michael Friendly
Description: This package provides the tables from Sean Lahman's Baseball Database as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2010, as recorded in version 5.8 of the database.
Depends: R (>= 2.10), plyr
Suggests: lattice, ggplot2, googleVis, data.table, vcd
License: GPL
LazyLoad: yes
LazyData: yes
Repository: CRAN
Repository/R-Forge/Project: lahman
Repository/R-Forge/Revision: 6
Date/Publication: 2011-09-30 19:47:16
Packaged: 2011-09-29 20:38:30 UTC; rforge

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New package evtree with initial version 0.1-0
Package: evtree
Title: Evolutionary Learning of Globally Optimal Trees
Version: 0.1-0
Date: 2011-09-29
Authors@R: c(person(given = "Thomas", family = "Grubinger", role = c("aut", "cre"), email = "Thomas.Grubinger@i-med.ac.at"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"), person(given = "Karl-Peter", family = "Pfeiffer", role = "aut", email = "Karl-Peter.Pfeiffer@i-med.ac.at"))
Author: Thomas Grubinger [aut, cre], Achim Zeileis [aut], Karl-Peter Pfeiffer [aut]
Maintainer: Thomas Grubinger
Description: Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The evtree package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the partykit package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.
Depends: R (>= 2.11.0), partykit
Suggests: mlbench, kernlab, multcomp, rpart, party, xtable
LazyData: yes
License: GPL-2
Packaged: 2011-09-30 12:44:52 UTC; zeileis
Repository: CRAN
Date/Publication: 2011-09-30 15:47:44

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New package rzmq with initial version 0.5.0
Package: rzmq
Title: R binding for zmq (http://www.zeromq.org/)
Version: 0.5.0
Maintainer: Whit Armstrong
Author: Whit Armstrong
Description: R binding for zmq
License: GPL-3
SystemRequirements: libzmq
URL: http://github.com/armstrtw/rzmq
BugReports: http://github.com/armstrtw/rzmq/issues
Packaged: 2011-09-30 11:23:41 UTC; warmstrong
Repository: CRAN
Date/Publication: 2011-09-30 11:42:51

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Package osmar updated to version 1.0-01 with previous version 1.0 dated 2011-09-01

Title: Importing and working with OpenStreetMap-Data
Description: This package imports the (Spatial and Non-Spatial) Data of OpenStreetMap into objects of R by using the OSM-API v0.6. For now it is reduced on using various commands of type "GET", like getting data of an explicit element or a region defined by coordinates. It also includes some methods on working with the newly created objects.
Author: Thomas Schlesinger and Manuel Eugster
Maintainer: Thomas Schlesinger

Diff between osmar versions 1.0 dated 2011-09-01 and 1.0-01 dated 2011-09-30

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Package scapeMCMC updated to version 1.1-3 with previous version 1.1-2 dated 2011-02-10

Title: MCMC Diagnostic Plots
Description: Markov chain Monte Carlo diagnostic plots. The purpose of the package is to combine existing tools from the 'coda' and 'lattice' packages, and make it easy to adjust graphical details. It can be useful for anyone using MCMC analysis, regardless of the application.
Author: Arni Magnusson and Ian Stewart
Maintainer: Arni Magnusson

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Package RSNNS updated to version 0.4-2 with previous version 0.4-1 dated 2011-07-28

Title: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
Description: The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the RSNNS low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
Author: Christoph Bergmeir
Maintainer: Christoph Bergmeir

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Package Rcpp updated to version 0.9.7 with previous version 0.9.6 dated 2011-07-27

Title: Seamless R and C++ Integration
Description: The Rcpp package provides a C++ library which facilitates the integration of R and C++. R data types (SEXP) are matched to C++ objects in a class hierarchy. All R types are supported (vectors, functions, environment, etc ...) and each type is mapped to a dedicated class. For example, numeric vectors are represented as instances of the Rcpp::NumericVector class, environments are represented as instances of Rcpp::Environment, functions are represented as Rcpp::Function, etc ... The "Rcpp-introduction" vignette provides a good entry point to Rcpp. Conversion from C++ to R and back is driven by the templates Rcpp::wrap and Rcpp::as which are highly flexible and extensible, as documented in the "Rcpp-extending" vignette. Rcpp also provides Rcpp modules, a framework that allows exposing C++ functions and classes to the R level. The "Rcpp-modules" vignette details the current set of features of Rcpp-modules. Rcpp includes a concept called Rcpp sugar that brings many R functions into C++. Sugar takes advantage of lazy evaluation and expression templates to achieve great performance while exposing a syntax that is much nicer to use than the equivalent low-level loop code. The "Rcpp-sugar" vignette gives an overview of the feature. Several examples are included, and 753 unit tests in 338 unit test functions provide additional usage examples. An earlier version of Rcpp, containing what we now call the 'classic Rcpp API' was written during 2005 and 2006 by Dominick Samperi. This code has been factored out of Rcpp into the package RcppClassic and it is still available for code relying on this interface. New development should use this package instead.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel and Romain Francois

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Package qcc updated to version 2.2 with previous version 2.0.1 dated 2010-04-20

Title: Quality Control Charts
Description: Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts.
Author: Luca Scrucca
Maintainer: Luca Scrucca

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 qcc-2.0.1/qcc/man/process.capability.sixpack.Rd |only
 qcc-2.2/qcc/CHANGES                             |   21 ++---
 qcc-2.2/qcc/DESCRIPTION                         |   10 +-
 qcc-2.2/qcc/LICENCE                             |only
 qcc-2.2/qcc/MD5                                 |only
 qcc-2.2/qcc/Misc                                |only
 qcc-2.2/qcc/R/capability.R                      |   98 ------------------------
 qcc-2.2/qcc/R/paretochart.R                     |   33 +++-----
 qcc-2.2/qcc/R/utilities.R                       |    4 
 qcc-2.2/qcc/data/boiler.txt.gz                  |only
 qcc-2.2/qcc/data/circuit.txt.gz                 |only
 qcc-2.2/qcc/data/dyedcloth.txt.gz               |only
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 qcc-2.2/qcc/data/pcmanufact.txt.gz              |only
 qcc-2.2/qcc/data/pistonrings.txt.gz             |only
 qcc-2.2/qcc/inst/CITATION                       |    2 
 qcc-2.2/qcc/man/mqcc.Rd                         |    2 
 qcc-2.2/qcc/man/pareto.chart.Rd                 |    8 +
 qcc-2.2/qcc/man/process.capability.Rd           |    2 
 qcc-2.2/qcc/man/qcc-package.Rd                  |    2 
 30 files changed, 43 insertions(+), 139 deletions(-)

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Package matlab updated to version 0.8.9 with previous version 0.8.8 dated 2011-09-14

Title: MATLAB emulation package
Description: Emulate MATLAB code using R
Author: P. Roebuck
Maintainer: P. Roebuck

Diff between matlab versions 0.8.8 dated 2011-09-14 and 0.8.9 dated 2011-09-30

 DESCRIPTION           |    8 ++++----
 MD5                   |    8 ++++----
 NEWS                  |   10 +++++++++-
 R/zzz.R               |   27 +++++++++++++++------------
 man/matlab-package.Rd |    4 ++--
 5 files changed, 34 insertions(+), 23 deletions(-)

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New package KRLS with initial version 0.1
Package: KRLS
Type: Package
Title: Kernel-based Regularized Least Squares (KRLS)
Version: 0.1
Date: 2011-09-26
Author: Jens Hainmueller (MIT) Chad Hazlett (MIT)
Maintainer: Jens Hainmueller
Description: Package implements Kernel-based Regularized Least Squares (KRLS), a machine learning method that can be used to fit multidimensional functions for regression and classification problems without relying on linearity or additivity assumptions. This package is currently in alpha phase (feedback is appreciated).
License: GPL (>= 3)
URL: http://www.mit.edu/~jhainm/
Packaged: 2011-09-29 16:44:49 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2011-09-30 05:51:03

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Package gdistance updated to version 1.1-2 with previous version 1.1-1 dated 2011-01-09

Title: distances and routes on geographical grids
Description: Calculate distances and routes on geographic grids.
Author: Jacob van Etten
Maintainer: Jacob van Etten

Diff between gdistance versions 1.1-1 dated 2011-01-09 and 1.1-2 dated 2011-09-30

 ChangeLog                         |only
 DESCRIPTION                       |   26 ++++---
 MD5                               |only
 R/Summary-methods.R               |only
 R/Transition-class.R              |    5 -
 R/Transition-extract-replace.R    |   10 ++
 R/Transition-methods.R            |   61 -----------------
 R/accCost.R                       |    2 
 R/adjacency.R                     |only
 R/geoCorrection.R                 |    8 +-
 R/internal-functions.R            |   23 ++++--
 R/pathInc.R                       |   89 ++++++++++++++++---------
 R/shortestPath.R                  |   22 +++++-
 R/summary.R                       |   13 +++
 R/transition.R                    |  132 +++++++++++++++++++++++++++++++-------
 data/genDist.RData                |binary
 data/popCoord.RData               |binary
 inst/doc/gdistance-vignette.Rnw   |    2 
 inst/doc/gdistance-vignette.pdf   |binary
 man/Transition-extract-replace.Rd |    2 
 man/Transition-slots.Rd           |    3 
 man/adjacency.Rd                  |only
 man/gdistance-package.Rd          |    2 
 man/geoCorrection.Rd              |   10 +-
 man/probPassage.Rd                |   14 ++--
 man/shortestPath.Rd               |   38 +++++-----
 man/summary-methods.Rd            |only
 man/transition.Rd                 |   58 ++++++++++++++--
 28 files changed, 336 insertions(+), 184 deletions(-)

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New package edesign with initial version 1.0-7
Package: edesign
Title: Maximum entropy sampling
Version: 1.0-7
Author: Claudia Gebhardt
Maintainer: Claudia Gebhardt
Description: Maximum entropy sampling
License: GPL
Packaged: 2011-09-29 21:48:09 UTC; alge
Repository: CRAN
Date/Publication: 2011-09-30 05:51:43

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New package dhglm with initial version 1.2
Package: dhglm
Type: Package
Title: Double Hierarchical Generalized Linear Models
Version: 1.2
Date: 2011-09-27
Author: Maengseok Noh, Youngjo Lee
Maintainer: Maengseok Noh
Description: The dhglm package fits double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.
Depends: R (>= 2.10.0), Matrix, numDeriv, boot
License: Unlimited
LazyLoad: yes
Respository: CRAN
Date/Publication: 2011-09-30 05:51:38
Packaged: 2011-09-29 21:20:43 UTC; Administrator
Repository: CRAN

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