Mon, 12 Feb 2018

Package TexExamRandomizer updated to version 1.2.3 with previous version 1.2.2 dated 2017-11-27

Title: Personalizes and Randomizes Exams Written in 'LaTeX'
Description: Randomizing exams with 'LaTeX'. If you can compile your main document with 'LaTeX', the program should be able to compile the randomized versions without much extra effort when creating the document.
Author: Alejandro Gonzalez Recuenco
Maintainer: Alejandro Gonzalez Recuenco <alejandrogonzalezrecuenco@gmail.com>

Diff between TexExamRandomizer versions 1.2.2 dated 2017-11-27 and 1.2.3 dated 2018-02-12

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Package rglobi updated to version 0.2.12 with previous version 0.2.11 dated 2017-10-14

Title: R Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name. In addition, it supports Cypher, a graph query language, to allow for executing custom queries on the GloBI aggregate species interaction data set.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut]
Maintainer: Jorrit Poelen <jhpoelen@xs4all.nl>

Diff between rglobi versions 0.2.11 dated 2017-10-14 and 0.2.12 dated 2018-02-12

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Package EMMIXskew updated to version 1.0.3 with previous version 1.0.2 dated 2017-05-08

Title: The EM Algorithm and Skew Mixture Distribution
Description: EM algorithm for Fitting Mixture of Multivariate Skew Normal and Skew t Distributions. An implementation of the algorithm described in Wang, Ng, and McLachlan (2009) <doi:10.1109/DICTA.2009.88>.
Author: Kui Wang, Angus Ng and Geoff McLachlan.
Maintainer: Sharon Lee <s.lee11@uq.edu.au>

Diff between EMMIXskew versions 1.0.2 dated 2017-05-08 and 1.0.3 dated 2018-02-12

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Package canvasXpress updated to version 1.18.5 with previous version 1.18.3 dated 2018-02-01

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <http://canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut, cre], Connie Brett [ctb]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.18.3 dated 2018-02-01 and 1.18.5 dated 2018-02-12

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Package bdvis updated to version 0.2.20 with previous version 0.2.18 dated 2017-07-20

Title: Biodiversity Data Visualizations
Description: Provides a set of functions to create basic visualizations to quickly preview different aspects of biodiversity information such as inventory completeness, extent of coverage (taxonomic, temporal and geographic), gaps and biases.
Author: Vijay Barve <vijay.barve@gmail.com>, Javier Otegui <javier.otegui@gmail.com>
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between bdvis versions 0.2.18 dated 2017-07-20 and 0.2.20 dated 2018-02-12

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Package WGCNA updated to version 1.62 with previous version 1.61 dated 2017-08-05

Title: Weighted Correlation Network Analysis
Description: Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
Author: Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

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Package spMC updated to version 0.3.9 with previous version 0.3.8 dated 2016-10-22

Title: Continuous-Lag Spatial Markov Chains
Description: A set of functions is provided for 1) the stratum lengths analysis along a chosen direction, 2) fast estimation of continuous lag spatial Markov chains model parameters and probability computing (also for large data sets), 3) transition probability maps and transiograms drawing, 4) simulation methods for categorical random fields.
Author: Luca Sartore
Maintainer: Luca Sartore <drwolf85@gmail.com>

Diff between spMC versions 0.3.8 dated 2016-10-22 and 0.3.9 dated 2018-02-12

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New package RNOmni with initial version 0.1.5
Package: RNOmni
Title: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation
Version: 0.1.5
Date: 2018-02-12
Authors@R: person("Zachary","McCaw",email="zmccaw@g.harvard.edu",role=c("aut","cre"))
Description: Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two INT-based approaches, termed direct INT (DINT) and partially indirect INT (PIINT). In genome scale simulations, the omnibus test routinely provided valid inference against continuous phenotypes with skewed and heavy tailed residual distributions. Association testing against these same phenotypes via standard linear regression led to an excess of false positive associations. In addition to controlling the type I error, the omnibus approach provided power comparable to the more powerful of the component methods.
Depends: R (>= 3.2.2)
Imports: abind, foreach, mvtnorm, RcppEigen
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Suggests: cowplot, ggplot2, knitr, reshape2, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-12 20:28:50 UTC; zmccaw
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@g.harvard.edu>
Repository: CRAN
Date/Publication: 2018-02-12 23:30:29 UTC

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Package revdbayes updated to version 1.3.2 with previous version 1.3.1 dated 2017-11-01

Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. Also provided are functions for making inferences about the extremal index, using the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292>.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package inca updated to version 0.0.3 with previous version 0.0.2 dated 2016-11-03

Title: Integer Calibration
Description: Specific functions are provided for rounding real weights to integers and performing an integer programming algorithm for calibration problems. They are useful for census-weights adjustments, or for performing linear regression with integer parameters.
Author: Luca Sartore <luca.sartore@nass.usda.gov> and Kelly Toppin <kelly.toppin@nass.usda.gov>
Maintainer: Luca Sartore <drwolf85@gmail.com>

Diff between inca versions 0.0.2 dated 2016-11-03 and 0.0.3 dated 2018-02-12

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Package ijtiff updated to version 0.3.0 with previous version 0.2.0 dated 2017-12-19

Title: TIFF I/O for 'ImageJ' Users
Description: Correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Full support for TIFF files with floating point (real-numbered) pixels. Also supports text image I/O.
Author: Rory Nolan [aut, cre], Simon Urbanek [ctb], Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package GUniFrac updated to version 1.1 with previous version 1.0 dated 2012-04-28

Title: Generalized UniFrac Distances
Description: Generalized UniFrac distances for comparing microbial communities. Permutational multivariate analysis of variance using multiple distance matrices.
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2@mayo.edu>

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New package basicspace with initial version 0.20
Package: basicspace
Version: 0.20
Date: 2018-02-12
Title: Recovering a Basic Space from Issue Scales
Author: Keith Poole <ktpoole@uga.edu>, Howard Rosenthal <hr31@nyu.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <lojames@usc.edu>
Depends: R (>= 3.0.0), tools (>= 2.0.0)
Description: Conducts Aldrich-McKelvey and Blackbox Scaling (Poole et al 2016) <doi:10.18637/jss.v069.i07> to recover latent dimensions of judgment.
License: GPL-2
Repository: CRAN
NeedsCompilation: yes
Packaged: 2018-02-12 22:32:58 UTC; jameslo
Date/Publication: 2018-02-12 23:30:33 UTC

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Package AnaCoDa updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-11

Title: Analysis of Codon Data under Stationarity using a Bayesian Framework
Description: Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In addition 'AnaCoDa' contains three currently unpublished models. The FONSE (First order approximation On NonSense Error) model analyzes gene data for selection on codon usage against of nonsense error rates. The PA (PAusing time) and PANSE (PAusing time + NonSense Error) models use ribosome footprinting data to analyze estimate ribosome pausing times with and without nonsense error rate from ribosome footprinting data.
Author: Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb]
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>

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Package wallace updated to version 1.0.4 with previous version 1.0.3 dated 2018-01-31

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Author: Jamie M. Kass [aut, cre], Bruno Vilela [aut], Matthew E. Aiello-Lammens [aut], Robert Muscarella [aut], Cory Merow [aut], Robert P. Anderson [aut]
Maintainer: Jamie M. Kass <jkass@gradcenter.cuny.edu>

Diff between wallace versions 1.0.3 dated 2018-01-31 and 1.0.4 dated 2018-02-12

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Package fastnet updated to version 0.1.4 with previous version 0.1.3 dated 2017-06-05

Title: Large-Scale Social Network Analysis
Description: We present an implementation of the algorithms required to simulate large-scale social networks and retrieve their most relevant metrics.
Author: Nazrul Shaikh [aut, cre], Xu Dong [aut], Luis Castro [aut], Christian Llano [ctb]
Maintainer: Nazrul Shaikh <networkgroupr@gmail.com>

Diff between fastnet versions 0.1.3 dated 2017-06-05 and 0.1.4 dated 2018-02-12

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Package DynTxRegime updated to version 3.2 with previous version 3.01 dated 2017-05-21

Title: Methods for Estimating Optimal Dynamic Treatment Regimes
Description: Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

Diff between DynTxRegime versions 3.01 dated 2017-05-21 and 3.2 dated 2018-02-12

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 10 files changed, 55 insertions(+), 18 deletions(-)

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Package synchronicity updated to version 1.3.2 with previous version 1.1.9.1 dated 2016-02-17

Title: Boost Mutex Functionality in R
Description: Boost mutex functionality in R.
Author: Michael J. Kane <kaneplusplus@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between synchronicity versions 1.1.9.1 dated 2016-02-17 and 1.3.2 dated 2018-02-12

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Package swCRTdesign updated to version 2.2 with previous version 2.1 dated 2016-12-22

Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191. <doi:10.1016/j.cct.2006.05.007>).
Author: Jim Hughes and Navneet R. Hakhu
Maintainer: Jim Hughes <jphughes@uw.edu>

Diff between swCRTdesign versions 2.1 dated 2016-12-22 and 2.2 dated 2018-02-12

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 4 files changed, 57 insertions(+), 57 deletions(-)

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New package na.tools with initial version 0.2.1
Package: na.tools
Title: Comprehensive Library for Working with Missing (NA) Values in Vectors
Version: 0.2.1
Date: 2018-02-12
Authors@R: c( person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ), person("Decision Patterns", role = "cph") )
URL: https://github.com/decisionpatterns/na.tools
Description: This comprehensive toolkit provide a consistent and extensible framework for working with missing values in vectors. The companion package 'tidyimpute' provides similar functionality for list-like and table-like structures). Functions exist for detection, removal, replacement, imputation, recollection, etc. of 'NAs'.
BugReports: https://github.com/decisionpatterns/na.actions/issues
Depends: R (>= 3.1.0)
Imports: stats, methods
Suggests: testthat (>= 1.0.2)
License: GPL-3 | file LICENSE
LazyData: true
RoxygenNote: 6.0.1.9000
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2018-02-12 18:11:31 UTC; cbrown
Author: Christopher Brown [aut, cre], Decision Patterns [cph]
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>
Date/Publication: 2018-02-12 19:12:33 UTC

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Package memery updated to version 0.4.1 with previous version 0.4.0 dated 2018-02-01

Title: Internet Memes for Data Analysts
Description: Generates internet memes that optionally include a superimposed inset plot and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. The package differs from related packages that focus on imitating and reproducing standard memes. Some packages do this by interfacing with online meme generators whereas others achieve this natively. This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites. It reads images directly from local files or via URL and meme generation is done by the package. While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on allowing for non-standard meme layouts and hybrids of memes mixed with graphs. While this package can be used to make basic memes like an online meme generator would produce, it caters primarily to hybrid graph-meme plots where the meme presentation can be seen as a backdrop highlighting foreground graphs of data analysis results. The package also provides support for an arbitrary number of meme text labels with arbitrary size, position and other attributes rather than restricting to the standard top and/or bottom text placement. This is useful for proper aesthetic interleaving of plots of data between meme image backgrounds and overlain text labels. The package offers a selection of templates for graph placement and appearance with respect to the underlying meme. Graph templates also permit additional template-specific customization. Animated gif support is provided but this is optional and functional only if the 'magick' package is installed. 'magick' is not required unless gif functionality is desired.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@alaska.edu>

Diff between memery versions 0.4.0 dated 2018-02-01 and 0.4.1 dated 2018-02-12

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 9 files changed, 32 insertions(+), 21 deletions(-)

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Package boostmtree updated to version 1.2.1 with previous version 1.2.0 dated 2017-09-05

Title: Boosted Multivariate Trees for Longitudinal Data
Description: Implements Friedman's gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between boostmtree versions 1.2.0 dated 2017-09-05 and 1.2.1 dated 2018-02-12

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 14 files changed, 56 insertions(+), 40 deletions(-)

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New package BlockFeST with initial version 1.3
Package: BlockFeST
Type: Package
Title: Bayesian Calculation of Region-Specific Fixation Index to Detect Local Adaptation
Version: 1.3
Date: 2018-02-8
Author: Bastian Pfeifer
Maintainer: Bastian Pfeifer <Bastian.Pfeifer@uni-duesseldorf.de>
Depends: R (>= 2.14.2), BASIX
Imports: methods
Suggests: PopGenome
Description: An R implementation of an extension of the 'BayeScan' software (Foll, 2008) <DOI:10.1534/genetics.108.092221> for codominant markers, adding the option to group individual SNPs into pre-defined blocks. A typical application of this new approach is the identification of genomic regions, genes, or gene sets containing one or more SNPs that evolved under directional selection.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2018-02-12 18:33:57 UTC; user
Repository: CRAN
Date/Publication: 2018-02-12 19:14:25 UTC

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New package shinyalert with initial version 1.0
Package: shinyalert
Title: Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Version: 1.0
Authors@R: c( person("Dean", "Attali", email = "daattali@gmail.com", role = c("aut", "cre"), comment = "R interface"), person("Tristan", "Edwards", role = c("aut"), comment = "sweetalert library") )
Description: Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain text, images, OK/Cancel buttons, an input to get a response from the user, and many more customizable options.
URL: https://github.com/daattali/shinyalert https://daattali.com/shiny/shinyalert-demo/
BugReports: https://github.com/daattali/shinyalert/issues
Depends: R (>= 3.0.2)
Imports: digest, shiny (>= 1.0.4), stats
Suggests: colourpicker, knitr, rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-12 16:41:07 UTC; Dean
Author: Dean Attali [aut, cre] (R interface), Tristan Edwards [aut] (sweetalert library)
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-12 18:20:44 UTC

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New package GPCMlasso with initial version 0.1-1
Package: GPCMlasso
Type: Package
Title: Differential Item Functioning in Generalized Partial Credit Models
Version: 0.1-1
Date: 2018-02-06
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther@stat.uni-muenchen.de>
Description: Provides a function to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), wordcloud, TeachingDemos, cubature, car, caret, statmod, mvtnorm, mirt, methods
Depends: ltm
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-02-12 16:59:27 UTC; schaubergerg
Repository: CRAN
Date/Publication: 2018-02-12 18:23:52 UTC

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New package elementR with initial version 1.3.5
Package: elementR
Type: Package
Title: An Framework for Reducing Elemental LAICPMS Data from Solid Structures
Version: 1.3.5
Date: 2018-02-07
Author: Charlotte Sirot, Francois Guilhaumon
Maintainer: Charlotte Sirot <charlott.sirot@gmail.com>
Description: Aims to facilitate the reduction of elemental microchemistry data from solid-phase LAICPMS analysis (laser ablation inductive coupled plasma mass spectrometry). The 'elementR' package provides a reactive and user friendly interface (based on a 'shiny' application) and a set of 'R6' classes for conducting all steps needed for an optimal data reduction while leaving maximum control for user.
Repository: CRAN
Depends: R (>= 3.2.3)
Imports: gdata, shiny,devtools, shinyjs, gnumeric, R6, shinydashboard, abind, stringr, lmtest, tcltk,tcltk2, reader, readODS, readxl, EnvStats, outliers, zoo, colourpicker, stats, graphics, utils
License: GPL (>= 2)
Suggests: testthat
URL: https://github.com/charlottesirot/elementR
BugReports: https://github.com/charlottesirot/elementR/issues
NeedsCompilation: no
Packaged: 2018-02-12 16:15:57 UTC; cha
Date/Publication: 2018-02-12 18:18:26 UTC

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New package EDMeasure with initial version 1.0.0
Package: EDMeasure
Title: Dependence Measures via Energy Statistics
Version: 1.0.0
Date: 2018-01-30
Authors@R: c( person("Ze", "Jin", email = "zj58@cornell.edu", role = c("aut", "cre")), person("Shun", "Yao", email = "shunyao2@illinois.edu", role = c("aut")), person("David S.", "Matteson", email = "matteson@cornell.edu", role = c("aut")), person("Xiaofeng", "Shao", email = "xshao@illinois.edu", role = c("aut")) )
Description: Implementations of (1) mutual dependence measures and mutual independence tests in Jin, Z., and Matteson, D. S. (2017) <arXiv:1709.0253>; (2) independent component analysis methods based on mutual dependence measures in Jin, Z., and Matteson, D. S. (2017) <arXiv:1709.0253> and Pfister, N., et al. (2018) <doi:10.1111/rssb.12235>; (3) conditional mean dependence measures and conditional mean independence tests in Shao, X., and Zhang, J. (2014) <doi:10.1080/01621459.2014.887012> and Park, T., et al. (2015) <doi:10.1214/15-EJS1047>.
Depends: R (>= 3.4.0)
Imports: energy (>= 1.7-0), dHSIC (>= 2.0), rBayesianOptimization (>= 1.1.0)
Suggests: testthat (>= 2.0.0)
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
Collate: 'EDMeasure-package.R' 'cmdm_functions.R' 'pmdd.R' 'mdd.R' 'cmdm_test.R' 'mdc.R' 'mdm.R' 'mdm_ica_functions.R' 'mdm_ica.R' 'mdm_test.R' 'pmdc.R'
NeedsCompilation: yes
Packaged: 2018-02-12 17:50:38 UTC; btluck
Author: Ze Jin [aut, cre], Shun Yao [aut], David S. Matteson [aut], Xiaofeng Shao [aut]
Maintainer: Ze Jin <zj58@cornell.edu>
Repository: CRAN
Date/Publication: 2018-02-12 18:26:17 UTC

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Package codemetar updated to version 0.1.4 with previous version 0.1.3 dated 2018-02-08

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between codemetar versions 0.1.3 dated 2018-02-08 and 0.1.4 dated 2018-02-12

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Package Pomic updated to version 1.0.4 with previous version 1.0.3 dated 2016-05-20

Title: Pattern Oriented Modelling Information Criterion
Description: Calculations of an information criterion are proposed to check the quality of simulations results of Agent-based models (ABM/IBM) or other non-linear rule-based models. The POMDEV measure (Pattern Oriented Modelling DEViance) is based on the Kullback-Leibler divergence and likelihood theory. It basically indicates the deviance of simulation results from field observations. Once POMDEV scores and metropolis-hasting sampling on different model versions are effectuated, POMIC scores (Pattern Oriented Modelling Information Criterion) can be calculated. This method could be further developed to incorporate multiple patterns assessment. Piou C, U Berger and V Grimm (2009) <doi:10.1016/j.ecolmodel.2009.05.003>.
Author: Cyril Piou [aut, cre]
Maintainer: Cyril Piou <cyril.piou@cirad.fr>

Diff between Pomic versions 1.0.3 dated 2016-05-20 and 1.0.4 dated 2018-02-12

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Package enigma (with last version 0.3.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-02-17 0.3.0
2015-07-08 0.2.0
2014-12-11 0.1.1
2014-10-16 0.1.0

Permanent link
New package Rlinsolve with initial version 0.2.0
Package: Rlinsolve
Type: Package
Title: Iterative Solvers for (Sparse) Linear System of Equations
Version: 0.2.0
Authors@R: person("Kisung", "You", email = "kyou@nd.edu", role = c("aut", "cre"),comment=c(ORCID="0000-0002-8584-459X"))
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.4), Matrix, Rdpack
LinkingTo: bigmemory, BH, Rcpp, RcppArmadillo
Depends: R (>= 3.3.0), bigmemory
RoxygenNote: 6.0.1
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2018-02-05 09:27:53 UTC; kisung
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2018-02-12 16:12:49 UTC

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New package stability with initial version 0.1.0
Package: stability
Type: Package
Title: Stability Analysis of Genotype by Environment Interaction (GEI)
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Kent", "M.", "Eskridge"), email = "keskridge1@unl.edu ", role = c("aut", "ctb")) )
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Functionalities to perform Stability Analysis of Genotype by Environment Interaction (GEI) to identify superior and stable genotypes under diverse environments. It performs Eberhart & Russel's ANOVA (1966) (<doi:10.2135/cropsci1966.0011183X000600010011x>), Finlay and Wilkinson (1963) Joint Linear Regression (<doi:10.1071/AR9630742>), Wricke (1962, 1964) Ecovalence, Shukla's stability variance parameter (1972) (<doi:10.1038/hdy.1972.87>) and Kang's (1991) (<doi:10.2134/agronj1991.00021962008300010037x>) simultaneous selection for high yielding and stable parameter.
Depends: R (>= 3.1)
Imports: dplyr, lme4, magrittr, matrixStats, reshape2, stats
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-12 13:39:34 UTC; yaseen
Author: Muhammad Yaseen [aut, cre], Kent M. Eskridge [aut, ctb]
Repository: CRAN
Date/Publication: 2018-02-12 15:06:51 UTC

More information about stability at CRAN
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Package R.filesets updated to version 2.12.0 with previous version 2.11.0 dated 2017-02-27

Title: Easy Handling of and Access to Files Organized in Structured Directories
Description: A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate such sets. The API is designed such that these classes can be extended via inheritance to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have full names which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This package's API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.filesets versions 2.11.0 dated 2017-02-27 and 2.12.0 dated 2018-02-12

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Package NetLogoR updated to version 0.3.2 with previous version 0.3.1 dated 2018-02-05

Title: A Port of 'NetLogo' Functions and Language to R
Description: Easily create agent-based models in R following the 'NetLogo' framework (Wilensky, 1999; <http://ccl.northwestern.edu/netlogo/>). 'NetLogoR' provides classes to represent 'patches' (raster cells) and 'turtles' (individuals), the necessary 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>), and complementary functions to easily build agent-based models or translate 'NetLogo' models in R. A programming guide derived from the 'NetLogo' Programming Guide (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences are available. As examples, three 'NetLogo' models (Ants, <http://ccl.northwestern.edu/netlogo/models/Ants>; Butterfly, Railsback and Grimm, 2012; Wolf-Sheep-Predation, <http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>) were translated in R language using 'NetLogoR'. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (<https://cran.r-project.org/package=SpaDES>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = "https://rforge.net", type = "source")'.
Author: Sarah Bauduin [aut, cre], Eliot J B McIntire [aut], Alex M Chubaty [aut], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Sarah Bauduin <sarahbauduin@hotmail.fr>

Diff between NetLogoR versions 0.3.1 dated 2018-02-05 and 0.3.2 dated 2018-02-12

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Package microseq updated to version 1.2.2 with previous version 1.2.1 dated 2018-02-07

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use the basic R data structures as much as possible, without building complex data types.
Author: Lars Snipen, Kristian Hovde Liland
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 1.2.1 dated 2018-02-07 and 1.2.2 dated 2018-02-12

 DESCRIPTION |   14 +++++++-------
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Package tatoo updated to version 1.1.0 with previous version 1.0.10 dated 2018-01-24

Title: Combine and Export Data Frames
Description: Functions to combine data.frames in ways that require additional effort in base R, and to add metadata (id, title, ...) that can be used for printing and xlsx export. The 'Tatoo_report' class is provided as a convenient helper to write several such tables to a workbook, one table per worksheet. Tatoo is built on top of 'openxlsx', but intimate knowledge of that package is not required to use tatoo.
Author: Stefan Fleck [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

Diff between tatoo versions 1.0.10 dated 2018-01-24 and 1.1.0 dated 2018-02-12

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Package crypto updated to version 0.1.3 with previous version 0.1.2 dated 2018-02-11

Title: Cryptocurrency Market Data
Description: Retrieves crypto currency current and historical information as well as information on the exchanges they are listed on. For current and historical it will retrieve the daily open, high, low and close values for all crypto currencies. This retrieves the historical market data by web scraping tables provided by 'Cryptocurrency Market Capitalizations' <https://coinmarketcap.com>.
Author: Jesse Vent [aut, cre]
Maintainer: Jesse Vent <jesse@solutiondesign.io>

Diff between crypto versions 0.1.2 dated 2018-02-11 and 0.1.3 dated 2018-02-12

 DESCRIPTION         |    6 +++---
 MD5                 |   22 +++++++++++-----------
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 man/getCoins.Rd     |    4 ++--
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Package shinyKGode updated to version 1.0.5 with previous version 1.0.4 dated 2018-02-09

Title: An Interactive Application for ODE Parameter Inference Using Gradient Matching
Description: An interactive Shiny application to perform fast parameter inference on dynamical systems (described by ordinary differential equations) using gradient matching. Please see the project page for more details.
Author: Joe Wandy
Maintainer: Joe Wandy <joe.wandy@glasgow.ac.uk>

Diff between shinyKGode versions 1.0.4 dated 2018-02-09 and 1.0.5 dated 2018-02-12

 DESCRIPTION               |    6 +++---
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New package npmlda with initial version 1.0.0
Package: npmlda
Type: Package
Title: Nonparametric Models for Longitudinal Data
Version: 1.0.0
Date: 2018-02-12
Author: Xin Tian, Colin Wu
Maintainer: Xin Tian <tianxtt@gmail.com>
Description: Support the book: Wu CO and Tian X (2018). Nonparametric Models for Longitudinal Data. Chapman & Hall/CRC (to appear); and provide fit for using global and local smoothing methods for the conditional-mean and conditional-distribution based models with longitudinal Data.
License: GPL (>= 2)
BugReports: https://github.com/npmldabook/npmlda/issues
URL: https://github.com/npmldabook/npmlda/
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0)
Imports: splines
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-12 05:26:15 UTC; tianx
Repository: CRAN
Date/Publication: 2018-02-12 12:34:47 UTC

More information about npmlda at CRAN
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Package FENmlm updated to version 2.1.0 with previous version 2.0.1 dated 2018-01-30

Title: Fixed Effects Nonlinear Maximum Likelihood Models
Description: Efficient estimation of multiple fixed-effects maximum likelihood models with, possibly, non-linear in parameters right hand sides. Standard-errors can easily be clustered. It also includes tools to seamlessly export (to Latex) the results of various estimations.
Author: Laurent Berge
Maintainer: Laurent Berge <laurent.berge@uni.lu>

Diff between FENmlm versions 2.0.1 dated 2018-01-30 and 2.1.0 dated 2018-02-12

 DESCRIPTION                           |   10 
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New package Cluster.OBeu with initial version 1.2.1
Package: Cluster.OBeu
Type: Package
Title: Cluster Analysis 'OpenBudgets'
Version: 1.2.1
Date: 2018-01-31
Description: Estimate and return the needed parameters for visualisations designed for 'OpenBudgets' <http://openbudgets.eu/> data. Calculate cluster analysis measures in budget data of municipalities across Europe, according to the 'OpenBudgets' data model. It involves a set of techniques and algorithms used to find and divide the data into groups of similar observations. Also, can be used generally to extract visualisation parameters convert them to 'JSON' format and use them as input in a different graphical interface.
Authors@R: c( person("Kleanthis", "Koupidis", , "koupidis@okfn.gr", role = c("aut", "cre")), person("Charalampos", "Bratsas", , "charalampos.bratsas@okfn.org", role = "aut"), person("Jaroslav", "Kuchar", , "jaroslav.kuchar@gmail.com", role = "ctb") )
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>
URL: https://github.com/okgreece/Cluster.OBeu
BugReports: https://github.com/okgreece/Cluster.OBeu/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: TRUE
Imports: car, cluster, clValid, data.tree, dendextend, graphics, jsonlite, mclust, methods, RCurl, reshape, reshape2, stringr, tibble, utils
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-11 16:15:46 UTC; Kleanthis-Okf
Author: Kleanthis Koupidis [aut, cre], Charalampos Bratsas [aut], Jaroslav Kuchar [ctb]
Repository: CRAN
Date/Publication: 2018-02-12 11:56:09 UTC

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New package Bivariate.Pareto with initial version 1.0.0
Package: Bivariate.Pareto
Type: Package
Title: Bivariate Pareto Models
Version: 1.0.0
Date: 2018-02-10
Author: Jia-Han Shih, Wei Lee
Maintainer: Jia-Han Shih <tommy355097@gmail.com>
Description: Perform competing risks analysis under bivariate Pareto models. See Shih et al. (2018, to appear).
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Repository: CRAN
NeedsCompilation: no
Packaged: 2018-02-11 07:22:29 UTC; Tommy
Date/Publication: 2018-02-12 11:44:54 UTC

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New package telegram.bot with initial version 1.0.0
Package: telegram.bot
Type: Package
Title: Develop a 'Telegram Bot' with R
Version: 1.0.0
Authors@R: person("Ernest", "Benedito", email = "ebeneditos@gmail.com", role = c("aut", "cre"))
Maintainer: Ernest Benedito <ebeneditos@gmail.com>
Description: Features a number of tools to make the development of 'Telegram' bots with R easy and straightforward, providing an easy-to-use interface that takes some work off the programmer. It is built on top of the pure API implementation, being an extension of the 'telegram' package, an R wrapper around the 'Telegram Bot API' <http://core.telegram.org/bots/api>.
URL: http://github.com/ebeneditos/telegram.bot
BugReports: http://github.com/ebeneditos/telegram.bot/issues
Imports: R6, httr
Depends: R (>= 3.2.3), telegram (>= 0.6.0)
Suggests: covr, testthat
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-10 19:08:31 UTC; Ernest
Author: Ernest Benedito [aut, cre]
Repository: CRAN
Date/Publication: 2018-02-12 10:29:51 UTC

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New package SolveLS with initial version 1.0
Package: SolveLS
Type: Package
Title: Iterative Methods for Solving Linear System of Equations
Version: 1.0
Authors@R: person("Kisung", "You", email = "kyou@nd.edu", role = c("aut", "cre"),comment=c(ORCID="0000-0002-8584-459X"))
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.4), Matrix, Rdpack
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2018-02-11 05:05:12 UTC; kisung
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2018-02-12 10:32:53 UTC

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New package RNentropy with initial version 1.1.2
Package: RNentropy
Type: Package
Title: Entropy Based Method for the Detection of Significant Variation in Gene Expression Data
Version: 1.1.2
Date: 2018-02-08
Authors@R: c( person("Federico", "Zambelli", email = "federico.zambelli@unimi.it", role = "cre", comment = c(ORCID = "0000-0003-3487-4331")), person("Giulio", "Pavesi", email = "giulio.pavesi@unimi.it", role = "aut", comment = c(ORCID = "0000-0001-5705-6249")))
Description: An implementation of a method based on information theory devised for the identification of genes showing a significant variation of expression across multiple conditions. Given expression estimates from any number of RNA-Seq samples and conditions it identifies genes or transcripts with a significant variation of expression across all the conditions studied, together with the samples in which they are over- or under-expressed. Zambelli et al. (2018) <doi:10.1093/nar/gky055>.
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-09 18:44:51 UTC; federicozambelli
Author: Federico Zambelli [cre] (<https://orcid.org/0000-0003-3487-4331>), Giulio Pavesi [aut] (<https://orcid.org/0000-0001-5705-6249>)
Maintainer: Federico Zambelli <federico.zambelli@unimi.it>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-02-12 10:15:16 UTC

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New package kmed with initial version 0.0.1
Package: kmed
Type: Package
Title: Distance-Based k-Medoids
Version: 0.0.1
Date: 2018-02-09
Author: Weksi Budiaji
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>
Description: A simple and fast distance-based k-medoids clustering algorithm from Park and Jun (2009) <doi:10.1016/j.eswa.2008.01.039>. Calculate distances for mixed variable data such as Gower (1971) <doi:10.2307/2528823>, Wishart (2003) <doi:10.1007/978-3-642-55721-7_23>, Podani (1999) <doi:10.2307/1224438>, Huang (1997) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.9984&rep=rep1&type=pdf>, and Harikumar and PV (2015) <doi:10.1016/j.procs.2015.10.077>. Cluster validation applies bootstrap procedure producing a heatmap with a flexible reordering matrix algorithm such as complete, ward, or average linkages.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2
NeedsCompilation: no
Packaged: 2018-02-09 19:51:10 UTC; Weksi
Repository: CRAN
Date/Publication: 2018-02-12 10:12:53 UTC

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New package gglorenz with initial version 0.0.1
Package: gglorenz
Title: Plotting Lorenz Curve with the Blessing of 'ggplot2'
Version: 0.0.1
Authors@R: c( person("JJ", "Chen", email = "jiajia.chern@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8482-8398")) )
Description: Provides statistical transformations for plotting empirical ordinary Lorenz curve (Lorenz 1905) <doi:10.2307/2276207> and generalized Lorenz curve (Shorrocks 1983) <doi:10.2307/2554117>.
Depends: R (>= 3.2.0), ggplot2 (>= 2.2.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/jjchern/gglorenz
BugReports: https://github.com/jjchern/gglorenz/issues
RoxygenNote: 6.0.1
Imports: ineq
NeedsCompilation: no
Packaged: 2018-02-09 20:06:30 UTC; chan
Author: JJ Chen [aut, cre] (<https://orcid.org/0000-0001-8482-8398>)
Maintainer: JJ Chen <jiajia.chern@gmail.com>
Repository: CRAN
Date/Publication: 2018-02-12 10:05:40 UTC

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New package gamm4.test with initial version 0.1.0
Package: gamm4.test
Type: Package
Title: Comparing Nonlinear Curves and Surface Estimations by Semiparametric Methods
Version: 0.1.0
Author: Shi Zhao <shizhao@iu.edu>
Maintainer: Shi Zhao <shizhao@iu.edu>
Description: To compare nonlinear curves and surface estimations between groups using semiparametric methods for cross-sectional and longitudinal dataset.
Date: 2018-02-09
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 2.14.0)
Imports: gamm4, mgcv, doParallel, foreach, parallel, plotly, Matrix, RColorBrewer
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-09 20:35:07 UTC; shizhao
Repository: CRAN
Date/Publication: 2018-02-12 10:10:48 UTC

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New package Lavash with initial version 1.0
Package: Lavash
Type: Package
Title: Lava Estimation for the Sum of Sparse and Dense Signals
Version: 1.0
Date: 2018-02-09
Author: Victor Chernozhukov [aut, cre], Christian Hansen [aut, cre], Yuan Liao [aut, cre], Jaeheon Jung [ctb, cre]
Maintainer: Jaeheon Jung <jaeheonj81@gmail.com>
Description: The lava estimation is a new technique to recover signals that is the sum of a sparse and dense signals. The post-lava method corrects the shrinkage bias of lava. For more information on the lava estimation, see Chernozhukov, Hansen, and Liao (2017) <doi:10.1214/16-AOS1434>.
Depends: MASS, glmnet, pracma
License: GPL-2
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-09 19:45:14 UTC; Jung
Date/Publication: 2018-02-12 09:25:12 UTC

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Package M4comp (with last version 0.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-01-04 0.0.1

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Package rjmcmc (with last version 0.4.0) was removed from CRAN

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2017-11-02 0.4.0
2017-08-11 0.3.2
2017-08-03 0.3.01
2017-03-20 0.2.2

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Package wbsts (with last version 0.4) was removed from CRAN

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2018-02-04 0.4
2015-09-30 0.3
2015-08-23 0.1

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Package sca (with last version 0.9-0) was removed from CRAN

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2015-09-02 0.9-0
2012-09-01 0.8-9
2012-03-19 0.8-8
2009-11-17 0.8-7
2009-02-09 0.8-6
2004-08-06 0.8-5

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Package LinearizedSVR (with last version 1.3) was removed from CRAN

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2014-08-01 1.3
2014-02-26 1.2
2012-03-13 1.0

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Package gRapHD (with last version 0.2.6) was removed from CRAN

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2018-02-06 0.2.6
2018-01-09 0.2.5

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Package pulsar (with last version 0.2.5) was removed from CRAN

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2016-08-04 0.2.5

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Package FactoRizationMachines (with last version 0.35) was removed from CRAN

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2017-10-18 0.35
2017-08-08 0.21
2017-03-21 0.11
2016-12-02 0.1

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Package D3M (with last version 0.41.1) was removed from CRAN

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2016-07-10 0.41.1
2015-08-03 0.41
2015-08-02 0.40
2015-07-29 0.31

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Package madness (with last version 0.2.2) was removed from CRAN

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2017-04-26 0.2.2
2017-04-14 0.2.1
2016-01-20 0.2.0
2015-12-15 0.1.0

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Package Meiosis (with last version 1.0.2) was removed from CRAN

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2017-05-10 1.0.2
2017-04-24 1.0.1
2017-04-04 1.0.0

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Package MGGM (with last version 1.0) was removed from CRAN

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2016-03-21 1.0

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Package MFPCA (with last version 1.1) was removed from CRAN

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2017-06-17 1.1
2016-08-12 1.0-1
2016-07-22 1.0

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Package expectreg (with last version 0.39) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2014-03-05 0.39
2013-07-30 0.38
2013-04-10 0.37
2013-01-15 0.36
2012-08-14 0.35
2012-02-14 0.30
2011-12-02 0.29
2011-09-08 0.26
2011-05-09 0.25
2011-03-22 0.21
2011-02-28 0.20
2010-09-08 0.16
2010-03-16 0.1

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