Fri, 16 Jan 2015

Package rsdmx updated to version 0.4-4 with previous version 0.4-3 dated 2014-12-03

Title: Tools for Reading SDMX Data and Metadata
Description: rsdmx provides a set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework. The package currently focuses on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb]
Maintainer: Emmanuel Blondel

Diff between rsdmx versions 0.4-3 dated 2014-12-03 and 0.4-4 dated 2015-01-16

 DESCRIPTION                  |   31 ++++++------
 MD5                          |   25 +++++-----
 NAMESPACE                    |    3 +
 R/Class-SDMXHeader.R         |   36 +++++++++++---
 R/Class-SDMXType.R           |   11 ++--
 R/Class-SDMXUtilityData.R    |only
 R/SDMXCompactData-methods.R  |   58 +++++++++++++++--------
 R/SDMXHeader-methods.R       |  105 +++++++++++++++++++++++++------------------
 R/SDMXMessageGroup-methods.R |    8 ---
 R/SDMXUtilityData-methods.R  |only
 R/readSDMX.R                 |   39 ++++++++-------
 README.md                    |    8 ++-
 man/SDMXType-class.Rd        |    4 +
 man/SDMXUtilityData-class.Rd |only
 man/rsdmx-package.Rd         |    4 -
 15 files changed, 199 insertions(+), 133 deletions(-)

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Package rAverage updated to version 0.4-13 with previous version 0.4-10 dated 2014-11-11

Title: Parameter estimation for the averaging model of Information Integration Theory
Description: Parameter estimation for averaging models of Anderson's Information Integration Theory
Author: Giulio Vidotto , Stefano Noventa , Davide Massidda , Marco Vicentini
Maintainer: Davide Massidda

Diff between rAverage versions 0.4-10 dated 2014-11-11 and 0.4-13 dated 2015-01-16

 DESCRIPTION             |   12 +++++-----
 MD5                     |   18 +++++++--------
 R/fun.rav.R             |   57 +++++++++++++++---------------------------------
 R/rAverage.R            |    5 ++++
 R/rav.R                 |    8 ------
 man/outlier.replace.Rd  |    6 +++--
 man/rAverage-package.Rd |    6 ++---
 man/rav.Rd              |    6 ++---
 src/combinations.c      |   20 ++++++++--------
 src/rAverage.h          |    2 -
 10 files changed, 60 insertions(+), 80 deletions(-)

More information about rAverage at CRAN
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Package bayesTFR updated to version 4.1-2 with previous version 4.0-11 dated 2014-11-21

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
Author: Hana Sevcikova (hanas@uw.edu), Leontine Alkema (alkema@nus.edu.sg), Adrian Raftery (raftery@uw.edu) with code contribution from Bailey Fosdick (bfosdick@uw.edu) and Patrick Gerland (gerland@un.org)
Maintainer: Hana Sevcikova

Diff between bayesTFR versions 4.0-11 dated 2014-11-21 and 4.1-2 dated 2015-01-16

 ChangeLog                 |   13 +++++++++----
 DESCRIPTION               |    8 ++++----
 MD5                       |   18 +++++++++---------
 R/mcmc_ini.R              |   13 ++++++-------
 R/run_mcmc.R              |    7 ++++---
 R/wpp_data.R              |   28 ++++++++++++++++++++++------
 man/bayesTFR-package.Rd   |    4 ++--
 man/run-mcmc.Rd           |    7 +++++--
 man/run.tfr.mcmc.extra.Rd |    6 ++++--
 tests/test_functions.R    |   24 +++++++++++++++++++++---
 10 files changed, 86 insertions(+), 42 deletions(-)

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Package aroma.core updated to version 2.13.0 with previous version 2.12.1 dated 2014-03-08

Title: Core Methods and Classes Used by aroma.* Packages Part of The Aroma Framework
Description: This package contains core methods and classes used by higher-level aroma.* packages part of the Aroma Project, e.g. aroma.affymetrix and aroma.cn. Its API is mostly of interest to developers and is rarely used by end users directly.
Author: Henrik Bengtsson [aut, cre, cph], Mark Robinson [ctb], Ken Simpson [ctb]
Maintainer: Henrik Bengtsson

Diff between aroma.core versions 2.12.1 dated 2014-03-08 and 2.13.0 dated 2015-01-16

 aroma.core-2.12.1/aroma.core/inst/annotationData/genomes/Human/Human,chromosomes,20100928.txt         |only
 aroma.core-2.12.1/aroma.core/inst/annotationData/genomes/Human/Human,chromosomes,max,20090503.txt     |only
 aroma.core-2.13.0/aroma.core/DESCRIPTION                                                              |   33 -
 aroma.core-2.13.0/aroma.core/MD5                                                                      |  151 +++----
 aroma.core-2.13.0/aroma.core/NAMESPACE                                                                |   28 -
 aroma.core-2.13.0/aroma.core/NEWS                                                                     |   58 ++
 aroma.core-2.13.0/aroma.core/R/009.setup.R                                                            |   36 +
 aroma.core-2.13.0/aroma.core/R/999.AromaCore.R                                                        |   10 
 aroma.core-2.13.0/aroma.core/R/AromaCellCpgFile.R                                                     |   50 --
 aroma.core-2.13.0/aroma.core/R/AromaCellPositionFile.R                                                |   64 ---
 aroma.core-2.13.0/aroma.core/R/AromaCellTabularBinaryFile.R                                           |   64 ++-
 aroma.core-2.13.0/aroma.core/R/AromaMicroarrayDataFile.ATTRS.R                                        |   14 
 aroma.core-2.13.0/aroma.core/R/AromaMicroarrayDataSet.ATTRS.R                                         |   12 
 aroma.core-2.13.0/aroma.core/R/AromaMicroarrayDataSetTuple.R                                          |   30 -
 aroma.core-2.13.0/aroma.core/R/AromaMicroarrayTabularBinaryFile.R                                     |   43 --
 aroma.core-2.13.0/aroma.core/R/AromaPlatform.R                                                        |   38 +
 aroma.core-2.13.0/aroma.core/R/AromaPlatformInterface.R                                               |  213 +++++++++-
 aroma.core-2.13.0/aroma.core/R/AromaTabularBinaryFile.R                                               |   12 
 aroma.core-2.13.0/aroma.core/R/AromaTabularBinarySet.ATTRS.R                                          |   16 
 aroma.core-2.13.0/aroma.core/R/AromaUnitCallSet.R                                                     |   12 
 aroma.core-2.13.0/aroma.core/R/AromaUnitFracBCnBinarySet.exportFracBDiffSet.R                         |    4 
 aroma.core-2.13.0/aroma.core/R/AromaUnitGenotypeCallSet.R                                             |   18 
 aroma.core-2.13.0/aroma.core/R/AromaUnitPscnBinarySet.R                                               |    4 
 aroma.core-2.13.0/aroma.core/R/AromaUnitSignalBinaryFile.R                                            |   18 
 aroma.core-2.13.0/aroma.core/R/AromaUnitSignalBinaryFile.writeDataFrame.R                             |    8 
 aroma.core-2.13.0/aroma.core/R/AromaUnitSignalBinarySet.R                                             |   15 
 aroma.core-2.13.0/aroma.core/R/AromaUnitSignalBinarySet.writeDataFrame.R                              |    2 
 aroma.core-2.13.0/aroma.core/R/AromaUnitTotalCnBinaryFile.extractPSCNArray.R                          |    8 
 aroma.core-2.13.0/aroma.core/R/AromaUnitTotalCnBinarySet.R                                            |    4 
 aroma.core-2.13.0/aroma.core/R/AromaUnitTotalCnBinarySet.exportAromaUnitPscnBinarySet.R               |    4 
 aroma.core-2.13.0/aroma.core/R/AromaUnitTotalCnBinarySet.exportTotalCnRatioSet.R                      |    4 
 aroma.core-2.13.0/aroma.core/R/CbsModel.R                                                             |   21 
 aroma.core-2.13.0/aroma.core/R/ChromosomeExplorer.R                                                   |    4 
 aroma.core-2.13.0/aroma.core/R/CopyNumberChromosomalModel.R                                           |   11 
 aroma.core-2.13.0/aroma.core/R/CopyNumberRegions.R                                                    |    2 
 aroma.core-2.13.0/aroma.core/R/CopyNumberSegmentationModel.R                                          |    2 
 aroma.core-2.13.0/aroma.core/R/Explorer.R                                                             |   32 +
 aroma.core-2.13.0/aroma.core/R/HaarSegModel.R                                                         |   21 
 aroma.core-2.13.0/aroma.core/R/MPCBS.EXTS.R                                                           |    5 
 aroma.core-2.13.0/aroma.core/R/NonPairedPSCNData.R                                                    |   10 
 aroma.core-2.13.0/aroma.core/R/RasterImage.R                                                          |    4 
 aroma.core-2.13.0/aroma.core/R/SampleAnnotationFile.R                                                 |    2 
 aroma.core-2.13.0/aroma.core/R/SampleAnnotationSet.R                                                  |   18 
 aroma.core-2.13.0/aroma.core/R/SegmentationDataSet.R                                                  |    8 
 aroma.core-2.13.0/aroma.core/R/fitGenotypeCone.matrix.R                                               |    6 
 aroma.core-2.13.0/aroma.core/R/fitMultiDimensionalCone.matrix.R                                       |    8 
 aroma.core-2.13.0/aroma.core/R/fitWHRCModel.matrix.R                                                  |   13 
 aroma.core-2.13.0/aroma.core/R/getCommonListElements.R                                                |    4 
 aroma.core-2.13.0/aroma.core/R/norm2d.matrix.R                                                        |   10 
 aroma.core-2.13.0/aroma.core/R/stringTree.R                                                           |    8 
 aroma.core-2.13.0/aroma.core/R/zzz.R                                                                  |    2 
 aroma.core-2.13.0/aroma.core/inst/testScripts/fileFormats/acf/test20090107,AromaUnitGenotypeCallSet.R |    4 
 aroma.core-2.13.0/aroma.core/inst/testScripts/fileFormats/acf/test20090518,acf.R                      |   11 
 aroma.core-2.13.0/aroma.core/man/AromaCellTabularBinaryFile.Rd                                        |   41 -
 aroma.core-2.13.0/aroma.core/man/AromaMicroarrayDataSet.Rd                                            |    2 
 aroma.core-2.13.0/aroma.core/man/AromaMicroarrayDataSetTuple.Rd                                       |   28 -
 aroma.core-2.13.0/aroma.core/man/AromaMicroarrayTabularBinaryFile.Rd                                  |    2 
 aroma.core-2.13.0/aroma.core/man/AromaPlatform.Rd                                                     |   39 +
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 aroma.core-2.13.0/aroma.core/man/AromaTabularBinarySet.Rd                                             |    2 
 aroma.core-2.13.0/aroma.core/man/AromaUnitCallFile.Rd                                                 |    4 
 aroma.core-2.13.0/aroma.core/man/AromaUnitCallSet.Rd                                                  |   32 -
 aroma.core-2.13.0/aroma.core/man/AromaUnitFracBCnBinaryFile.Rd                                        |    4 
 aroma.core-2.13.0/aroma.core/man/AromaUnitFracBCnBinarySet.Rd                                         |    2 
 aroma.core-2.13.0/aroma.core/man/AromaUnitGenotypeCallFile.Rd                                         |    4 
 aroma.core-2.13.0/aroma.core/man/AromaUnitGenotypeCallSet.Rd                                          |   32 -
 aroma.core-2.13.0/aroma.core/man/AromaUnitPscnBinaryFile.Rd                                           |    4 
 aroma.core-2.13.0/aroma.core/man/AromaUnitPscnBinarySet.Rd                                            |    2 
 aroma.core-2.13.0/aroma.core/man/AromaUnitSignalBinaryFile.Rd                                         |    3 
 aroma.core-2.13.0/aroma.core/man/AromaUnitSignalBinarySet.Rd                                          |   32 -
 aroma.core-2.13.0/aroma.core/man/AromaUnitTabularBinaryFile.Rd                                        |    2 
 aroma.core-2.13.0/aroma.core/man/AromaUnitTotalCnBinaryFile.Rd                                        |    4 
 aroma.core-2.13.0/aroma.core/man/AromaUnitTotalCnBinarySet.Rd                                         |    2 
 aroma.core-2.13.0/aroma.core/man/AromaUnitTypesFile.Rd                                                |    4 
 aroma.core-2.13.0/aroma.core/man/Non-documented_objects.Rd                                            |   15 
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 aroma.core-2.13.0/aroma.core/man/isCompatibleWith.AromaPlatformInterface.Rd                           |only
 aroma.core-2.13.0/aroma.core/tests/aromaSettings.R                                                    |only
 81 files changed, 849 insertions(+), 590 deletions(-)

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Package OrdinalLogisticBiplot updated to version 0.4 with previous version 0.3 dated 2014-05-02

Title: Biplot representations of ordinal variables
Description: Analysis of a matrix of polytomous items using Ordinal Logistic Biplots (OLB) The OLB procedure extends the binary logistic biplot to ordinal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as lines rather than vectors as in a classical or binary biplot, specifying the points for each of the categories of the variable. The set of prediction regions is established by stripes perpendicular to the line between the category points, in such a way that the prediction for each individual is given by its projection into the line of the variable.
Author: Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon
Maintainer: Julio Cesar Hernandez Sanchez

Diff between OrdinalLogisticBiplot versions 0.3 dated 2014-05-02 and 0.4 dated 2015-01-16

 DESCRIPTION                          |    8 -
 MD5                                  |   40 +++----
 R/BiplotDensity.r                    |    5 
 R/CheckDataSet.r                     |   14 +-
 R/OrdinalLogBiplotEM.r               |   27 ++--
 R/OrdinalLogisticBiplot.r            |  190 ++++++++++++++++------------------
 R/PlotClusters.r                     |    3 
 R/plotOrdinalFittedVariable.r        |    4 
 R/plotOrdinalVariable.r              |    1 
 R/pordlogist.r                       |  193 +++++++++++++++++++----------------
 man/BiplotDensity.Rd                 |    7 -
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 man/OrdinalLogisticBiplot-package.Rd |    4 
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 man/plotOrdinalVariable.Rd           |    2 
 man/pordlogist.Rd                    |    2 
 man/summary.pordlogist.Rd            |    2 
 21 files changed, 277 insertions(+), 257 deletions(-)

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New package caretEnsemble with initial version 1.0.0
Package: caretEnsemble
Type: Package
Title: Ensembles of Caret Models
Version: 1.0.0
Date: 2015-01-14
Authors@R: c(person(c("Zachary", "A."), "Mayer", role = c("aut", "cre"), email = "zach.mayer@gmail.com"), person(c("Jared", "E."), "Knowles", role=c("aut"), email="jknowles@gmail.com"))
URL: https://github.com/zachmayer/caretEnsemble
BugReports: https://github.com/zachmayer/caretEnsemble/issues
Description: Functions for creating ensembles of caret models: caretList, caretEnsemble, and caretStack. caretList is a convenience function for fitting multiple caret::train models to the same dataset. caretEnsemble will make a linear combination of these models using greedy forward selection, and caretStack will make linear or non-linear combinations of these models, using a caret::train model as a meta-model.
Depends: R (>= 3.1.0), caret
Suggests: testthat, randomForest, rpart, kernlab, nnet, e1071, ipred, pROC, knitr, mlbench, MASS, gbm, klaR
Imports: caTools, pbapply, ggplot2, digest, plyr, grid, lattice, gridExtra
License: MIT + file LICENSE
VignetteBuilder: knitr
Packaged: 2015-01-14 20:16:22 UTC; zach
Author: Zachary A. Mayer [aut, cre], Jared E. Knowles [aut]
Maintainer: Zachary A. Mayer
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-16 22:19:29

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Package bcool updated to version 1.2 with previous version 1.1 dated 2014-02-21

Title: Bringing to light significant Columns correlated with Organism Labels
Description: A set of analytical tools that helps searching for sites in an alignment, which might be associated with a phenotype label for the organism (e.g. changes in columns that can be associated with the pathogenicity character of an organism)
Author: Hugo Naya, Lucia Spangenberg
Maintainer: Hugo Naya

Diff between bcool versions 1.1 dated 2014-02-21 and 1.2 dated 2015-01-16

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 13 files changed, 622 insertions(+), 162 deletions(-)

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Package rNOMADS updated to version 2.1.2 with previous version 2.1.1 dated 2015-01-03

Title: An Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman

Diff between rNOMADS versions 2.1.1 dated 2015-01-03 and 2.1.2 dated 2015-01-16

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 21 files changed, 48 insertions(+), 44 deletions(-)

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Package paleotree updated to version 2.3 with previous version 2.2 dated 2014-09-18

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Analyzes, time-scales and simulates phylogenies of extinct/fossil lineages, along with calculation of diversity curves. Also fits likelihood models to estimate sampling rates from stratigraphic ranges.
Author: David W. Bapst
Maintainer: David W. Bapst

Diff between paleotree versions 2.2 dated 2014-09-18 and 2.3 dated 2015-01-16

 CHANGELOG                     |   10 +++
 DESCRIPTION                   |   11 ++-
 MD5                           |  120 +++++++++++++++++++++--------------------
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 62 files changed, 401 insertions(+), 181 deletions(-)

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Package pearson7 updated to version 1.0-1 with previous version 1.0 dated 2013-02-14

Title: Maximum Likelihood Inference for the Pearson VII Distribution with Shape Parameter 3/2
Description: pearson7 supports maximum likelihood inference for the Pearson VII distribution with shape parameter 3/2 and free location and scale parameters. This distribution is relevant when estimating the velocity of processive motor proteins with random detachment.
Author: John Hughes
Maintainer: John Hughes

Diff between pearson7 versions 1.0 dated 2013-02-14 and 1.0-1 dated 2015-01-16

 DESCRIPTION   |   18 +++++++++---------
 MD5           |    6 +++---
 R/zzz.R       |    5 ++---
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 4 files changed, 16 insertions(+), 18 deletions(-)

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Package ngspatial updated to version 1.0-5 with previous version 1.0-4 dated 2014-09-09

Title: Fitting the centered autologistic and sparse spatial generalized linear mixed models for areal data
Description: ngspatial provides tools for analyzing spatial data, especially non-Gaussian areal data. The current version supports the sparse spatial generalized linear mixed model of Hughes and Haran (2013) and the centered autologistic model of Caragea and Kaiser (2009).
Author: John Hughes and Xiaohui Cui
Maintainer: John Hughes

Diff between ngspatial versions 1.0-4 dated 2014-09-09 and 1.0-5 dated 2015-01-16

 DESCRIPTION   |    8 ++++----
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 4 files changed, 11 insertions(+), 12 deletions(-)

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Package fwsim updated to version 0.3.3 with previous version 0.3.2 dated 2014-08-27

Title: Fisher-Wright Population Simulation
Description: Simulates a population under the Fisher-Wright model (fixed or stochastic population size) with a one-step neutral mutation process (stepwise mutation model, logistic mutation model and exponential mutation model supported). The stochastic population sizes are random Poisson distributed and different kinds of population growth are supported. For the stepwise mutation model, it is possible to specify locus and direction specific mutation rate (in terms of upwards and downwards mutation rate). Intermediate generations can be saved in order to study e.g. drift.
Author: Mikkel Meyer Andersen and Poul Svante Eriksen
Maintainer: Mikkel Meyer Andersen

Diff between fwsim versions 0.3.2 dated 2014-08-27 and 0.3.3 dated 2015-01-16

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Package disclapmix updated to version 1.6 with previous version 1.5 dated 2014-06-14

Title: Discrete Laplace mixture inference using the EM algorithm
Description: disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).
Author: Mikkel Meyer Andersen and Poul Svante Eriksen
Maintainer: Mikkel Meyer Andersen

Diff between disclapmix versions 1.5 dated 2014-06-14 and 1.6 dated 2015-01-16

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Package batchmeans updated to version 1.0-2 with previous version 1.0-1 dated 2012-06-20

Title: Consistent Batch Means Estimation of Monte Carlo Standard Errors
Description: batchmeans provides consistent batch means estimation of Monte Carlo standard errors.
Author: Murali Haran and John Hughes
Maintainer: John Hughes

Diff between batchmeans versions 1.0-1 dated 2012-06-20 and 1.0-2 dated 2015-01-16

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Package spdep updated to version 0.5-83 with previous version 0.5-82 dated 2015-01-07

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand

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Package redcapAPI updated to version 1.2 with previous version 1.1 dated 2014-11-25

Title: R interface to REDCap
Description: Access data stored in REDCap databases using the Application Programming Interface (API). REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The redcapAPI package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter. Initiated by Jeffrey Horner and Will Gray with contributions from Jeremy Stephens, and Will Beasley
Maintainer: Benjamin Nutter

Diff between redcapAPI versions 1.1 dated 2014-11-25 and 1.2 dated 2015-01-16

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Package latdiag updated to version 0.2-1 with previous version 0.2 dated 2009-08-02

Title: Draws diagrams useful for checking latent scales
Description: Writes a file of commands for the dot program to draw a graph proposed by Rosenbaum and useful for checking some properties of various sorts of latent scale
Author: Michael Dewey
Maintainer: Michael Dewey

Diff between latdiag versions 0.2 dated 2009-08-02 and 0.2-1 dated 2015-01-16

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New package anfis with initial version 0.99.1
Package: anfis
Type: Package
Title: Adaptive Neuro Fuzzy Inference System in R
Version: 0.99.1
Date: 2015-01-16
Author: Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez
Maintainer: Cristobal Fresno
Description: The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy if-then rule network with the following features: (1) Independent number of membership functions(MF) for each input, and also different MF extensible types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4) Hibrid learning, i.e. Descent Gradient for precedents and Least Squares Estimation for consequents (5) Multiple outputs.
URL: http://www.bdmg.com.ar
License: GPL (>= 2)
Depends: R (>= 3.0), methods, parallel
Collate: 'MembershipFunction.R' 'MembershipFunction-show.R' 'BellMF.R' 'GaussianMF.R' 'NormalizedGaussianMF.R' 'MembershipFunction-evaluateMF.R' 'Anfis.R' 'Anfis-initialize.R' 'Anfis-getters.R' 'Anfis-printshow.R' 'Anfis-metrics.R' 'Anfis-package.R' 'Anfis-plotMF.R' 'Anfis-plot.R' 'Anfis-predict.R' 'Anfis-training.R' 'Anfis-trainSet.R' 'Anfis3-example.R' 'MembershipFunction-derivateMF.R' 'MembershipFunction-getset.R' 'MembershipFunction-print.R'
NeedsCompilation: no
Packaged: 2015-01-16 14:45:54 UTC; cristobal
Repository: CRAN
Date/Publication: 2015-01-16 16:22:46

More information about anfis at CRAN
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Package royston updated to version 1.1 with previous version 1.0 dated 2013-01-02

Title: Royston's H Test: Multivariate Normality Test
Description: Performs a multivariate normality test based on Royston's H test
Author: Selcuk Korkmaz
Maintainer: Selcuk Korkmaz

Diff between royston versions 1.0 dated 2013-01-02 and 1.1 dated 2015-01-16

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Package chemometrics updated to version 1.3.9 with previous version 1.3.8 dated 2012-02-16

Title: Multivariate Statistical Analysis in Chemometrics
Description: This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009)
Author: Peter Filzmoser and Kurt Varmuza
Maintainer: P. Filzmoser

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Package TAM updated to version 1.4-1 with previous version 1.3 dated 2015-01-06

Title: Test Analysis Modules
Description: The package includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models, Cognitive Diagnostic Models). Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch

Diff between TAM versions 1.3 dated 2015-01-06 and 1.4-1 dated 2015-01-16

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Package stream updated to version 1.1-1 with previous version 1.1-0 dated 2014-12-18

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [aut, cph]
Maintainer: Michael Hahsler

Diff between stream versions 1.1-0 dated 2014-12-18 and 1.1-1 dated 2015-01-16

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Package sphet updated to version 1.6 with previous version 1.5 dated 2013-12-11

Title: Estimation of spatial autoregressive models with and without heteroskedastic innovations
Description: Generalized Method of Moment estimation of Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations
Author: Gianfranco Piras
Maintainer: Gianfranco Piras

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Package mbbefd updated to version 0.5.0.1 with previous version 0.5 dated 2015-01-10

Title: Maxwell Bolzano Bose Einstein Fermi Dirac Distribution and Exposure Curve
Description: It contains the definition of Maxwell Bolzano Bose Einstein Fermi Dirac (MBBEFD) distribution (distribution, density, quantile, random generation functions) as well as MBBEFD exposure curve, used in actuarial application to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato
Maintainer: Giorgio Spedicato

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Package longpower updated to version 1.0-11 with previous version 1.0-10 dated 2013-09-14

Title: Sample size calculations for longitudinal data
Description: The longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle et al (2002). Either formula is expressed in terms of marginal model or Generalized Estimating Equations (GEE) parameters. This package contains functions which translate pilot mixed effect model parameters (e.g. random intercept and/or slope) into marginal model parameters so that the formulas of Diggle et al or Liu and Liang formula can be applied to produce sample size calculations for two sample longitudinal designs assuming known variance.
Author: Michael C. Donohue, Anthony C. Gamst, Steven D. Edland
Maintainer: Michael C. Donohue

Diff between longpower versions 1.0-10 dated 2013-09-14 and 1.0-11 dated 2015-01-16

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New package jagsUI with initial version 1.3.1
Package: jagsUI
Version: 1.3.1
Date: 2015-1-15
Title: A Wrapper Around rjags to Streamline JAGS Analyses
Author: Ken Kellner
Maintainer: Ken Kellner
Depends: R (>= 2.14.0), lattice
Imports: rjags (>= 3-3), coda (>= 0.13), parallel, methods
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Description: This package provides a set of wrappers around rjags functions to run Bayesian analyses in JAGS (specifically, via libjags). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the R2WinBUGS/R2OpenBUGS packages to allow easy switching between MCMC samplers.
License: GPL-2
URL: https://github.com/kenkellner/jagsUI
NeedsCompilation: no
Packaged: 2015-01-15 21:47:50 UTC; kkellner
Repository: CRAN
Date/Publication: 2015-01-16 06:42:38

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Package hypervolume updated to version 1.1.2 with previous version 1.1.1 dated 2014-12-19

Title: High-dimensional Kernel Density Estimation and Geometry Operations
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and negative feature detection. Uses stochastic geometry approach to high-dimensional kernel density estimation. Builds n-dimensional convex hulls (polytopes). Can measure the n-dimensional ecological hypervolume and perform species distribution modeling.
Author: Benjamin Blonder
Maintainer: Benjamin Blonder

Diff between hypervolume versions 1.1.1 dated 2014-12-19 and 1.1.2 dated 2015-01-16

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Package frbs updated to version 3.0-0 with previous version 2.2-0 dated 2014-02-03

Title: Fuzzy Rule-based Systems for Classification and Regression Tasks
Description: This package implements functionality and various algorithms to build and use fuzzy rule-based systems (FRBSs). FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squares methods, etc. Furthermore, in this version we provide a universal framework named frbsPMML, which is adopted from the Predictive Model Markup Language (PMML), for representing FRBS models. PMML is an XML-based language to provide a standard for describing models produced by data mining and machine learning algorithms. Therefore, we are allowed to export and import an FRBS model to/from frbsPMML. Finally, this package aims to implement the most widely used standard procedures, thus offering a standard package for FRBS modeling to the R community.
Author: Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, and Jose Manuel Benitez
Maintainer: Christoph Bergmeir

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Package AICcmodavg updated to version 2.0-3 with previous version 2.0-2 dated 2015-01-08

Title: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Description: This package includes functions to create model selection tables based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc). The package also features functions to conduct classic model averaging (multimodel inference) for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates. Other handy functions enable the computation of relative variable importance, evidence ratios, and confidence sets for the best model. The present version works with Cox proportional hazards models and conditional logistic regression ('coxph' and 'coxme' classes), linear models ('lm' class), generalized linear models ('glm', 'vglm', 'hurdle', and 'zeroinfl' classes), linear models fit by generalized least squares ('gls' class), linear mixed models ('lme' class), generalized linear mixed models ('mer' and 'merMod' classes), multinomial and ordinal logistic regressions ('multinom'}, 'polr', 'clm', and 'clmm' classes), robust regression models ('rlm' class), beta regression models ('betareg' class), parametric survival models ('survreg' class), nonlinear models ('nls' and 'gnls' classes), and nonlinear mixed models ('nlme' and 'nlmer' classes). The package also supports various models of 'unmarkedFit' and 'maxLikeFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs' and 'rjags' classes. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Author: Marc J. Mazerolle .
Maintainer: Marc J. Mazerolle

Diff between AICcmodavg versions 2.0-2 dated 2015-01-08 and 2.0-3 dated 2015-01-16

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