Mon, 23 Mar 2015

Package OutbreakTools updated to version 0.1-13 with previous version 0.1-12 dated 2015-02-06

Title: Basic Tools for the Analysis of Disease Outbreaks
Description: Implements basic tools for storing, handling and visualizing disease outbreak data, as well as simple analysis tools. OutbreakTools defines the new formal class obkData which can be used to store any case-base outbreak data, and provides summaries for these objects, alongside a range of functions for subsetting and data manipulation. It implements a range of graphics for visualising timelines, maps, contact networks and genetic analyses. It also includes a simple case-base outbreak simulation tool.
Author: The Hackout team (In alphabetic order: David Aanensen, Marc Baguelin, Paul Birrell, Simon Cauchemez, Anton Camacho, Caroline Colijn, Anne Cori, Xavier Didelot, Ken Eames, Christophe Fraser, Simon Frost, Niel Hens, Joseph Hugues, Thibaut Jombart, Lulla Opatowski, Oliver Ratmann, Samuel Soubeyrand, Marc Suchard, Jacco Wallinga, Rolf Ypma)
Maintainer: Thibaut Jombart

Diff between OutbreakTools versions 0.1-12 dated 2015-02-06 and 0.1-13 dated 2015-03-23

 ChangeLog                  |    5 +++++
 DESCRIPTION                |   12 ++++++------
 MD5                        |   22 +++++++++++-----------
 build/vignette.rds         |binary
 data/FluH1N1pdm2009.RData  |binary
 data/HorseFlu.RData        |binary
 data/HorseFluRaw.RData     |binary
 data/ToyOutbreak.RData     |binary
 data/ToyOutbreakRaw.RData  |binary
 inst/doc/OutbreakTools.pdf |binary
 man/obkContacts.Rd         |    1 +
 man/obkDataPlot.Rd         |    1 +
 12 files changed, 24 insertions(+), 17 deletions(-)

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New package NPBayesImpute with initial version 0.5
Package: NPBayesImpute
Type: Package
Title: Non-Parametric Bayesian Multiple Imputation for Categorical Data
Version: 0.5
Date: 2015-03-22
Author: Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu
Maintainer: Quanli Wang
Description: These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.
License: GPL (>= 3)
Depends: methods, Rcpp (>= 0.10.2)
LinkingTo: Rcpp
RcppModules: clcm
NeedsCompilation: yes
Repository: CRAN
Packaged: 2015-03-23 12:52:42 UTC; quanli
X-CRAN-History: Archived on 2015-03-13 as misuse of \donttest was not corrected.
Date/Publication: 2015-03-23 21:17:06

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Package mapmisc updated to version 1.2.0 with previous version 1.1.3 dated 2015-02-21

Title: Utilities for Producing Maps
Description: A minimal, light-weight set of tools for producing nice looking maps in R.
Author: Patrick Brown [aut, cre], Barry Rowlingson [ctb]
Maintainer: Patrick Brown

Diff between mapmisc versions 1.1.3 dated 2015-02-21 and 1.2.0 dated 2015-03-23

 DESCRIPTION              |   12 ++--
 MD5                      |   60 ++++++++++++---------
 NAMESPACE                |    5 +
 R/col2html.R             |only
 R/colourScale.R          |  132 +++++++++++++++++++++++++++++++++++++----------
 R/geonames.R             |    2 
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 build/vignette.rds       |binary
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 vignettes/mapLayers.rnw  |   11 ++-
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 36 files changed, 406 insertions(+), 252 deletions(-)

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Package waffle updated to version 0.3.1 with previous version 0.3 dated 2015-03-22

Title: Create Waffle Chart Visualizations in R
Description: Square pie charts (a.k.a. waffle charts) can be used to communicate parts of a whole for categorical quantities. To emulate the percentage view of a pie chart, a 10x10 grid should be used with each square representing 1% of the total. Modern uses of waffle charts do not necessarily adhere to this rule and can be created with a grid of any rectangular shape. Best practices suggest keeping the number of categories small, just as should be done when creating pie charts.
Author: Bob Rudis
Maintainer: Bob Rudis

Diff between waffle versions 0.3 dated 2015-03-22 and 0.3.1 dated 2015-03-23

 DESCRIPTION |    8 ++++----
 MD5         |    2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

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New package ramify with initial version 0.1.0
Package: ramify
Type: Package
Title: Additional Matrix Functionality
Version: 0.1.0
Date: 2015-03-22
Authors@R: person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com", role = c("aut", "cre"))
Description: Additional matrix functionality for R. Includes a wrapper to the base matrix function that extends its functionality by allowing matrices to be created from character strings and lists. A number of convenience functions have also been added for users more familiar with other scientific languages like Julia, MATLAB/Octave, or Python.
Suggests: testthat
License: GPL (>= 2)
URL: https://github.com/w108bmg/ramify
BugReports: https://github.com/w108bmg/ramify/issues
Packaged: 2015-03-22 16:31:20 UTC; w108bmg
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-23 16:46:24

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Package userfriendlyscience updated to version 0.2-1 with previous version 0.2-0 dated 2015-02-27

Title: Quantitative Analysis Made Accessible
Description: Contains a number of functions that serve two goals: first, make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents; and second, make a number of slightly more advanced functions more user friendly to relatively novice users.
Author: Gjalt-Jorn Peters
Maintainer: Gjalt-Jorn Peters

Diff between userfriendlyscience versions 0.2-0 dated 2015-02-27 and 0.2-1 dated 2015-03-23

 ChangeLog                                                |   16 +++
 DESCRIPTION                                              |    8 -
 MD5                                                      |   36 ++++----
 NAMESPACE                                                |    1 
 NEWS                                                     |   11 +-
 R/associationMatrix.r                                    |   12 +-
 R/basicSPSStranslationFunctions.r                        |   65 ++++++++++++++-
 R/convert.r                                              |   42 +++++++++
 R/meanDiff.r                                             |   13 ++-
 R/oneway.r                                               |   13 ++-
 R/userfriendlyscienceBasics.r                            |   11 +-
 man/userfriendlyscience-associationMatrix.Rd             |   11 --
 man/userfriendlyscience-basicSPSStranslationFunctions.Rd |   16 +++
 man/userfriendlyscience-convert.Rd                       |   27 +++++-
 man/userfriendlyscience-meanDiff.Rd                      |   19 ++++
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 man/userfriendlyscience-regr.Rd                          |    2 
 man/userfriendlyscience-scaleInspection.Rd               |    2 
 man/userfriendlyscience-userfriendlyscienceBasics.Rd     |   20 +++-
 19 files changed, 264 insertions(+), 67 deletions(-)

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Package spartan updated to version 2.2 with previous version 2.1 dated 2014-08-19

Title: Simulation Parameter Analysis R Toolkit ApplicatioN: Spartan
Description: Computer simulations are becoming a popular technique to use in attempts to further our understanding of complex systems. SPARTAN, described in our 2013 publication in PLoS Computational Biology, provides code for four techniques described in available literature which aid the analysis of simulation results, at both single and multiple timepoints in the simulation run. The first technique addresses aleatory uncertainty in the system caused through inherent stochasticity, and determines the number of replicate runs necessary to generate a representative result. The second examines how robust a simulation is to parameter perturbation, through the use of a one-at-a-time parameter analysis technique. Thirdly, a latin hypercube based sensitivity analysis technique is included which can elucidate non-linear effects between parameters and indicate implications of epistemic uncertainty with reference to the system being modelled. Finally, a further sensitivity analysis technique, the extended Fourier Amplitude Sampling Test (eFAST) has been included to partition the variance in simulation results between input parameters, to determine the parameters which have a significant effect on simulation behaviour. Version 1.3 adds support for Netlogo simulations, aiding simulation developers who use Netlogo to build their simulations perform the same analyses. We have also added user support through the group spartan-group[AT]york[DOT]ac[DOT]uk. Version 2.0 added the ability to read all simulations in from a single CSV file in addition to the prescribed folder structure in previous versions.
Author: Kieran Alden, Mark Read, Paul Andrews, Jon Timmis, Henrique Veiga-Fernandes, Mark Coles
Maintainer: Kieran Alden

Diff between spartan versions 2.1 dated 2014-08-19 and 2.2 dated 2015-03-23

 DESCRIPTION                             |   10 ++++-----
 MD5                                     |   35 ++++++++++++++++----------------
 R/aa_getATestResults.R                  |    3 ++
 R/aa_graphATestsForSampleSize.R         |   11 ++++++----
 R/aa_graphSampleSizeSummary.R           |   14 +++++++++---
 R/aa_sampleSizeSummary.R                |    3 ++
 R/aa_summariseReplicateRuns.R           |    3 ++
 R/efast_get_overall_medians.R           |    3 ++
 R/efast_run_Analysis.R                  |    3 ++
 R/lhc_generateLHCSummary.R              |    5 +++-
 R/lhc_generatePRCoEffs.R                |    3 ++
 R/lhc_graphMeasuresForParameterChange.R |    3 ++
 R/lhc_plotCoEfficients.R                |only
 R/lhc_process_sample_run_subsets.R      |    3 ++
 R/oat_csv_result_file_analysis.R        |    3 ++
 R/oat_graphATestsForSampleSize.R        |    4 ++-
 R/oat_plotResultDistribution.R          |    3 ++
 R/oat_processParamSubsets.R             |    5 +++-
 man/Technique3-lhc_perform_analysis.Rd  |   18 +++++++++++++---
 19 files changed, 96 insertions(+), 36 deletions(-)

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Package PMCMR updated to version 1.1 with previous version 1.0 dated 2014-06-25

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Description: The Kruskal and Wallis one-way analysis of variance by ranks can be employed, if the data do not meet the assumptions for one-way ANOVA. Provided that significant differences were detected by the Kruskal-Wallis-Test, one may be interested in applying post-hoc tests for pairwise multiple comparisons of the ranked data. Similarly, one-way ANOVA with repeated measures that is also referred to as ANOVA with unreplicated block design can also be conducted via the Friedman-Test. The consequent post-hoc pairwise multiple comparison test according to Nemenyi is also provided in this package.
Author: Thorsten Pohlert
Maintainer: Thorsten Pohlert

Diff between PMCMR versions 1.0 dated 2014-06-25 and 1.1 dated 2015-03-23

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 PMCMR-1.1/PMCMR/DESCRIPTION                          |   10 -
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 PMCMR-1.1/PMCMR/R/posthoc.friedman.nemenyi.test.R    |  120 ++++++++++++-------
 PMCMR-1.1/PMCMR/R/posthoc.kruskal.nemenyi.test.R     |   63 +++++++++
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 PMCMR-1.1/PMCMR/man/posthoc.friedman.nemenyi.test.Rd |   32 ++++-
 PMCMR-1.1/PMCMR/man/posthoc.kruskal.nemenyi.test.Rd  |   51 ++++++--
 12 files changed, 228 insertions(+), 84 deletions(-)

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New package MixAll with initial version 1.0
Package: MixAll
Version: 1.0
Date: 2015-02-20
Title: Clustering using Mixture Models
Authors@R: c(person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org"))
Copyright: inria 2013-2015
Depends: R (>= 3.0.2), rtkpp
Imports: methods
Description: Algorithms and methods for estimating parametric mixture models with missing data.
License: GPL (>= 2)
LinkingTo: Rcpp, rtkpp
SystemRequirements: GNU make
Collate: 'global.R' 'ClusterAlgo.R' 'ClusterInit.R' 'ClusterStrategy.R' 'IClusterModel.R' 'ClusterCategorical.R' 'ClusterPoisson.R' 'ClusterDiagGaussian.R' 'ClusterHeterogeneous.R' 'ClusterGamma.R' 'ClusterModelNames.R' 'ClusterPlot.R' 'missingValues.R' 'MixAll.R'
Packaged: 2015-03-23 09:45:27 UTC; iovleff
Author: Serge Iovleff [aut, cre]
Maintainer: Serge Iovleff
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-23 13:29:03

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Package Luminescence updated to version 0.4.2 with previous version 0.4.1 dated 2015-01-29

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre], Michael Dietze [aut], Christoph Burow [aut], Margret C. Fuchs [aut], Christoph Schmidt [aut], Manfred Fischer [aut, trl], Rachel K. Smedley [aut], Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer

Diff between Luminescence versions 0.4.1 dated 2015-01-29 and 0.4.2 dated 2015-03-23

 DESCRIPTION                              |   18 
 MD5                                      |  211 -
 NAMESPACE                                |    7 
 NEWS                                     |  279 +
 R/CW2pHMi.R                              |  280 -
 R/CW2pLM.R                               |  132 
 R/CW2pLMi.R                              |  236 -
 R/CW2pPMi.R                              |  214 -
 R/RLum.Analysis-class.R                  |  788 ++-
 R/RLum.Data.Image-class.R                |  160 
 R/RLum.Results-class.R                   |  387 +
 R/RcppExports.R                          |only
 R/RisoeBINfileData-class.R               |  194 
 R/Second2Gray.R                          |  280 -
 R/analyse_IRSAR.RF.R                     | 1105 +++--
 R/analyse_SAR.CWOSL.R                    |  679 +--
 R/analyse_pIRIRSequence.R                | 1476 +++----
 R/apply_CosmicRayRemoval.R               |  249 -
 R/calc_CentralDose.R                     |    2 
 R/calc_CommonDose.R                      |    2 
 R/calc_FadingCorr.R                      |  158 
 R/calc_FiniteMixture.R                   |   14 
 R/calc_FuchsLang2001.R                   |    2 
 R/calc_HomogeneityTest.R                 |    2 
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 R/calc_MaxDose.R                         |   12 
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 R/calc_SourceDoseRate.R                  |  334 -
 R/calc_Statistics.R                      |  104 
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 R/fit_LMCurve.R                          |  728 +--
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 R/merge_Risoe.BINfileData.R              |  500 +-
 R/plot_AbanicoPlot.R                     | 6184 +++++++++++++++----------------
 R/plot_DRTResults.R                      | 1484 +++----
 R/plot_GrowthCurve.R                     | 2382 ++++++-----
 R/plot_Histogram.R                       | 1251 +++---
 R/plot_KDE.R                             | 1704 ++++----
 R/plot_RLum.Analysis.R                   |  407 +-
 R/plot_RLum.Data.Spectrum.R              |  671 +--
 R/plot_RLum.Results.R                    |   39 
 R/plot_RadialPlot.R                      | 2971 +++++++-------
 R/readBIN2R.R                            | 1961 ++++-----
 R/readSPE2R.R                            |  878 ++--
 R/readXSYG2R.R                           |  518 +-
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 data/ExampleData.DeValues.RData          |binary
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 man/analyse_SAR.TL.Rd                    |    2 
 man/analyse_pIRIRSequence.Rd             |   86 
 man/apply_CosmicRayRemoval.Rd            |   47 
 man/apply_EfficiencyCorrection.Rd        |    2 
 man/calc_AliquotSize.Rd                  |    2 
 man/calc_CentralDose.Rd                  |    4 
 man/calc_CommonDose.Rd                   |    2 
 man/calc_CosmicDoseRate.Rd               |    2 
 man/calc_FadingCorr.Rd                   |   42 
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 man/calc_MaxDose.Rd                      |   11 
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 man/calc_OSLLxTxRatio.Rd                 |    2 
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 man/fit_CWCurve.Rd                       |    2 
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 man/get_Layout.Rd                        |    2 
 man/get_RLum.Rd                          |    4 
 man/merge_RLum.Analysis.Rd               |    2 
 man/merge_RLum.Data.Curve.Rd             |    2 
 man/merge_RLum.Rd                        |    6 
 man/merge_Risoe.BINfileData.Rd           |   28 
 man/plot_AbanicoPlot.Rd                  |  116 
 man/plot_DRTResults.Rd                   |   16 
 man/plot_GrowthCurve.Rd                  |  106 
 man/plot_Histogram.Rd                    |   79 
 man/plot_KDE.Rd                          |   68 
 man/plot_RLum.Analysis.Rd                |   44 
 man/plot_RLum.Data.Curve.Rd              |    2 
 man/plot_RLum.Data.Image.Rd              |    2 
 man/plot_RLum.Data.Spectrum.Rd           |   80 
 man/plot_RLum.Rd                         |    2 
 man/plot_RLum.Results.Rd                 |    4 
 man/plot_RadialPlot.Rd                   |  104 
 man/plot_Risoe.BINfileData.Rd            |    2 
 man/readBIN2R.Rd                         |   32 
 man/readSPE2R.Rd                         |    2 
 man/readXSYG2R.Rd                        |   38 
 man/writeR2BIN.Rd                        |   50 
 src                                      |only
 109 files changed, 18002 insertions(+), 16343 deletions(-)

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Package BAMMtools updated to version 2.0.5 with previous version 2.0.4 dated 2015-03-18

Title: Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees
Description: Provides functions for analyzing and visualizing complex macroevolutionary dynamics on phylogenetic trees. It is a companion package to the command line program BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and is entirely oriented towards the analysis, interpretation, and visualization of evolutionary rates. Functionality includes visualization of rate shifts on phylogenies, estimating evolutionary rates through time, comparing posterior distributions of evolutionary rates across clades, comparing diversification models using Bayes factors, and more.
Author: Dan Rabosky, Mike Grundler, Pascal Title, Carlos Anderson, Jeff Shi, Joseph Brown, Huateng Huang
Maintainer: Pascal Title

Diff between BAMMtools versions 2.0.4 dated 2015-03-18 and 2.0.5 dated 2015-03-23

 DESCRIPTION                  |    8 ++++----
 MD5                          |   24 ++++++++++++------------
 R/assignColorBreaks.R        |    2 +-
 R/plot.bammdata.R            |    6 +++++-
 R/plot.bammshifts.R          |    7 +++++--
 R/plot.credibleshiftset.R    |    3 +++
 R/speciesByRatesMatrix.R     |    5 ++++-
 man/assignColorBreaks.Rd     |    8 ++++----
 man/plot.bammdata.Rd         |    4 ++--
 man/plot.bammshifts.Rd       |    2 +-
 man/plot.credibleshiftset.Rd |    2 +-
 man/speciesByRatesMatrix.Rd  |    2 +-
 src/jenksBrks.c              |   20 ++++----------------
 13 files changed, 47 insertions(+), 46 deletions(-)

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Package RSA updated to version 0.9.8 with previous version 0.9.6 dated 2015-01-21

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full polynomial, shifted and rotated squared differences, rising ridge surfaces, basic squared differences). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a4, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schönbrodt
Maintainer: Felix Schönbrodt

Diff between RSA versions 0.9.6 dated 2015-01-21 and 0.9.8 dated 2015-03-23

 DESCRIPTION            |    8 +--
 MD5                    |   38 ++++++++++--------
 R/RSA.R                |   30 ++++++++------
 R/aictab.R             |  100 +++++++++++++++++++++++++++++++++++++++++--------
 R/compare.R            |   22 +++++-----
 R/confint.R            |   25 +++++++++---
 R/demoSRRR.R           |    8 +--
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 R/helpers.R            |    2 
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 data/motcon2.tab       |only
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 22 files changed, 284 insertions(+), 127 deletions(-)

More information about RSA at CRAN
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New package rTableICC with initial version 1.0.2
Package: rTableICC
Type: Package
Title: Random Generation of Contingency Tables
Version: 1.0.2
Date: 2015-03-12
Author: Haydar Demirhan
Maintainer: Haydar Demirhan
Description: Contains functions for random generation of R x C and 2 x 2 x K contingency tables. In addition to the generation of contingency tables over predetermined intraclass-correlated clusters, it is possible to generate contingency tables without intraclass correlations under product multinomial, multinomial, and Poisson sampling plans. It also consists of a function for generation of random data from a given discrete probability distribution function.
Depends: partitions, aster
License: GPL-3
Packaged: 2015-03-23 08:46:57 UTC; Stat
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-23 10:50:29

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Package measuRing updated to version 0.3 with previous version 0.1 dated 2014-10-01

Title: Detection and Control of Tree-Ring Widths on Scanned Image Sections
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processesing of image reflectances to produce gray matrices and a time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.
Author: Wilson Lara, Carlos Sierra, Felipe Bravo
Maintainer: Wilson Lara

Diff between measuRing versions 0.1 dated 2014-10-01 and 0.3 dated 2015-03-23

 measuRing-0.1/measuRing/R/pixelTypes.R           |only
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 measuRing-0.3/measuRing/R/imageTogray.R          |   89 ++++-
 measuRing-0.3/measuRing/R/lagIngray.R            |   49 ++-
 measuRing-0.3/measuRing/R/linearDetect.R         |   80 +++--
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 measuRing-0.3/measuRing/R/ringDetect.R           |  128 +++++---
 measuRing-0.3/measuRing/R/ringSelect.R           |  155 ++++-----
 measuRing-0.3/measuRing/R/ringWidths.R           |   80 +++--
 measuRing-0.3/measuRing/inst/P105_a.png          |only
 measuRing-0.3/measuRing/inst/P105_b.tif          |only
 measuRing-0.3/measuRing/inst/P105_c.tif          |only
 measuRing-0.3/measuRing/inst/P105_d.tif          |only
 measuRing-0.3/measuRing/man/colNarrow.Rd         |only
 measuRing-0.3/measuRing/man/dataSegments.Rd      |only
 measuRing-0.3/measuRing/man/grayDarker.Rd        |   38 +-
 measuRing-0.3/measuRing/man/graySmoothed.Rd      |   33 +-
 measuRing-0.3/measuRing/man/imageTogray.Rd       |   47 ++
 measuRing-0.3/measuRing/man/lagIngray.Rd         |   33 +-
 measuRing-0.3/measuRing/man/linearDetect.Rd      |   29 +
 measuRing-0.3/measuRing/man/measuRing-package.Rd |   16 -
 measuRing-0.3/measuRing/man/multiDetect.Rd       |only
 measuRing-0.3/measuRing/man/plotSegments.Rd      |   66 ++--
 measuRing-0.3/measuRing/man/ringBorders.Rd       |only
 measuRing-0.3/measuRing/man/ringDetect.Rd        |   93 +++--
 measuRing-0.3/measuRing/man/ringSelect.Rd        |   86 ++---
 measuRing-0.3/measuRing/man/ringWidths.Rd        |   38 +-
 37 files changed, 1095 insertions(+), 558 deletions(-)

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New package Copula.Markov with initial version 1.0
Package: Copula.Markov
Type: Package
Title: Estimation and Statistical Process Control Under Copula-Based Time Series Models
Version: 1.0
Date: 2015-03-23
Author: Takeshi Emura and Ting-Hsuan Long
Maintainer: Takeshi Emura
Description: Estimation and statistical process control are performed under copula-based time-series models.
License: GPL-2
Packaged: 2015-03-23 07:09:22 UTC; user
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-23 10:49:06

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Package mht updated to version 3.1.2 with previous version 3.0.11 dated 2014-09-02

Title: Multiple Hypothesis Testing for Variable Selection in High-Dimensional Linear Models
Description: Multiple Hypothesis Testing For Variable Selection in high dimensional linear models. This package performs variable selection with multiple hypothesis testing, either for ordered variable selection or non-ordered variable selection. In both cases, a sequential procedure is performed. It starts to test the null hypothesis "no variable is relevant"; if this hypothesis is rejected, it then tests "only the first variable is relevant", and so on until the null hypothesis is accepted.
Author: Florian Rohart
Maintainer: Florian Rohart

Diff between mht versions 3.0.11 dated 2014-09-02 and 3.1.2 dated 2015-03-23

 mht-3.0.11/mht/R/gaussrandom.R            |only
 mht-3.0.11/mht/R/predict.mht.R            |only
 mht-3.0.11/mht/R/predict.mht.order.R      |only
 mht-3.0.11/mht/R/print.mht.R              |only
 mht-3.0.11/mht/R/print.mht.order.R        |only
 mht-3.0.11/mht/man/predict.mht.Rd         |only
 mht-3.0.11/mht/man/predict.mht.order.Rd   |only
 mht-3.1.2/mht/DESCRIPTION                 |   18 
 mht-3.1.2/mht/MD5                         |   69 +--
 mht-3.1.2/mht/NAMESPACE                   |    8 
 mht-3.1.2/mht/NEWS                        |   12 
 mht-3.1.2/mht/R/bolassofunction.R         |  229 +++++++-----
 mht-3.1.2/mht/R/data.scale.R              |only
 mht-3.1.2/mht/R/decompbaseorthofunction.R |  110 ++++-
 mht-3.1.2/mht/R/decoupdyadfunction.R      |  349 +++++++++++-------
 mht-3.1.2/mht/R/mht.R                     |  484 +++++++++++---------------
 mht-3.1.2/mht/R/mht.order.R               |  393 +++++++++++----------
 mht-3.1.2/mht/R/order.variables.R         |only
 mht-3.1.2/mht/R/plot.R                    |only
 mht-3.1.2/mht/R/predict.R                 |only
 mht-3.1.2/mht/R/print.R                   |only
 mht-3.1.2/mht/R/print.bolasso.R           |   23 +
 mht-3.1.2/mht/R/quantil_ord.R             |   89 ++--
 mht-3.1.2/mht/R/quantilemht.R             |  256 +++++++------
 mht-3.1.2/mht/R/quantiletest.R            |   19 +
 mht-3.1.2/mht/R/refit.R                   |   19 +
 mht-3.1.2/mht/R/refit.mht.R               |  553 ++++++++++++++----------------
 mht-3.1.2/mht/R/refit.mht.order.R         |  459 ++++++++++++++----------
 mht-3.1.2/mht/R/zzz.R                     |   26 +
 mht-3.1.2/mht/man/bolasso.Rd              |   33 +
 mht-3.1.2/mht/man/data.scale.Rd           |only
 mht-3.1.2/mht/man/decompbaseortho.Rd      |   13 
 mht-3.1.2/mht/man/decoupdyad.Rd           |   35 +
 mht-3.1.2/mht/man/mht-package.Rd          |   26 -
 mht-3.1.2/mht/man/mht.Rd                  |   44 +-
 mht-3.1.2/mht/man/mht.order.Rd            |   47 +-
 mht-3.1.2/mht/man/order.variables.Rd      |only
 mht-3.1.2/mht/man/plot.Rd                 |only
 mht-3.1.2/mht/man/plot.bolasso.Rd         |only
 mht-3.1.2/mht/man/predict.Rd              |only
 mht-3.1.2/mht/man/quantilemht.Rd          |    2 
 mht-3.1.2/mht/man/refit.mht.Rd            |   31 +
 mht-3.1.2/mht/man/refit.mht.order.Rd      |   33 +
 mht-3.1.2/mht/src/mhtquant.cpp            |   54 ++
 44 files changed, 1939 insertions(+), 1495 deletions(-)

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New package bootsPLS with initial version 1.0.2
Package: bootsPLS
Type: Package
Title: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
Version: 1.0.2
Author: Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
Maintainer: Florian Rohart
Description: Bootstrap Subsamplings of sparse Partial Least Squares - Discriminant Analysis (sPLS-DA) for Classification and Signature Identification. The method is applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.
License: GPL-3
Depends: mixOmics
Packaged: 2015-03-21 08:35:38 UTC; florian
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-23 07:32:59

More information about bootsPLS at CRAN
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