Wed, 26 Jun 2019

Package dialrjars updated to version 8.10.14 with previous version 8.10.13 dated 2019-06-05

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] (libphonenumber), Vonage Holdings Corp. [ctb, cph] (libphonenumber), Ian Galpin [ctb, cph] (libphonenumber), Ben Gertzfield [ctb, cph] (libphonenumber)
Maintainer: Danny Smith <danny@gorcha.org>

Diff between dialrjars versions 8.10.13 dated 2019-06-05 and 8.10.14 dated 2019-06-26

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 19 files changed, 209 insertions(+), 199 deletions(-)

More information about dialrjars at CRAN
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Package AnalyzeFMRI updated to version 1.1-19 with previous version 1.1-18 dated 2019-05-17

Title: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or NIFTI Format
Description: Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or NIFTI format. Note that the latest version of XQuartz seems to be necessary under MacOS.
Author: Pierre Lafaye De Micheaux [aut, cre], Jonathan L Marchini [aut]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between AnalyzeFMRI versions 1.1-18 dated 2019-05-17 and 1.1-19 dated 2019-06-26

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More information about AnalyzeFMRI at CRAN
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Package rgl updated to version 0.100.24 with previous version 0.100.19 dated 2019-03-12

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch@stats.uwo.ca>, and others (see README)
Maintainer: Duncan Murdoch <murdoch@stats.uwo.ca>

Diff between rgl versions 0.100.19 dated 2019-03-12 and 0.100.24 dated 2019-06-26

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More information about rgl at CRAN
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Package nopaco updated to version 1.0.4 with previous version 1.0.3 dated 2017-04-13

Title: Non-Parametric Concordance Coefficient
Description: A non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.
Author: Rowan Kuiper [cre, aut], Remco Hoogenboezem [aut], Sjoerd Huisman [ctb], Pieter Sonneveld [ths], Mark van Duin [ths]
Maintainer: Rowan Kuiper <r.kuiper.emc@gmail.com>

Diff between nopaco versions 1.0.3 dated 2017-04-13 and 1.0.4 dated 2019-06-26

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More information about nopaco at CRAN
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Package eemR updated to version 1.0.1 with previous version 0.1.5 dated 2017-05-08

Title: Tools for Pre-Processing Emission-Excitation-Matrix (EEM) Fluorescence Data
Description: Provides various tools for preprocessing Emission-Excitation-Matrix (EEM) for Parallel Factor Analysis (PARAFAC). Different methods are also provided to calculate common metrics such as humification index and fluorescence index.
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

Diff between eemR versions 0.1.5 dated 2017-05-08 and 1.0.1 dated 2019-06-26

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Package ShinyItemAnalysis updated to version 1.3.1 with previous version 1.3.0 dated 2019-02-25

Title: Test and Item Analysis via Shiny
Description: Interactive shiny application for analysis of educational tests and their items.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between ShinyItemAnalysis versions 1.3.0 dated 2019-02-25 and 1.3.1 dated 2019-06-26

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 ShinyItemAnalysis-1.3.1/ShinyItemAnalysis/R/dataMedicalkey.R                                                 |    6 
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 ShinyItemAnalysis-1.3.1/ShinyItemAnalysis/man/dataMedical.Rd                                                 |    6 
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New package plotluck with initial version 1.1.1
Package: plotluck
Title: 'ggplot2' Version of "I'm Feeling Lucky!"
Version: 1.1.1
Authors@R: person("Stefan", "Schroedl", , "stefan.schroedl@gmx.de", c("aut", "cre"))
Description: Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.
Depends: R (>= 3.1)
Imports: grid, Hmisc (>= 3.17.4), quantreg (>= 5.26), scales (>= 0.4.1), plyr (>= 1.8.4), hexbin (>= 1.27.1), RColorBrewer (>= 1.1.2), ggplot2 (>= 2.2.0)
License: MIT + file LICENSE
URL: https://github.com/stefan-schroedl/plotluck
BugReports: https://github.com/stefan-schroedl/plotluck/issues
LazyData: true
Suggests: testthat, ggplot2movies, mgcv, nlme, knitr, rmarkdown, gapminder
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-26 09:28:06 UTC; stefan
Author: Stefan Schroedl [aut, cre]
Maintainer: Stefan Schroedl <stefan.schroedl@gmx.de>
Repository: CRAN
Date/Publication: 2019-06-26 11:50:03 UTC

More information about plotluck at CRAN
Permanent link

Package opalr updated to version 1.1.0 with previous version 1.0.3 dated 2019-03-21

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between opalr versions 1.0.3 dated 2019-03-21 and 1.1.0 dated 2019-06-26

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Package dabestr updated to version 0.2.1 with previous version 0.2.0 dated 2019-01-07

Title: Data Analysis using Bootstrap-Coupled Estimation
Description: Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://rdcu.be/bHhJ4>.
Author: Joses W. Ho [cre, aut], Tayfun Tumkaya [aut]
Maintainer: Joses W. Ho <joseshowh@gmail.com>

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Package cgdsr updated to version 1.3.0 with previous version 1.2.10 dated 2018-01-18

Title: R-Based API for Accessing the MSKCC Cancer Genomics Data Server (CGDS)
Description: Provides a basic set of R functions for querying the Cancer Genomics Data Server (CGDS), hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC) at <www.cbioportal.org>.
Author: Anders Jacobsen <jacobsen@cbio.mskcc.org>, Augustin Luna <lunaa@cbio.mskcc.org>
Maintainer: Benjamin Gross <cgdsr@cbioportal.org>

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New package varclust with initial version 0.9.4
Package: varclust
Type: Package
Title: Variables Clustering
Version: 0.9.4
Date: 2019-06-08
Author: Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan
Maintainer: Piotr Sobczyk <pj.sobczyk@gmail.com>
Description: Performs clustering of quantitative variables, assuming that clusters lie in low-dimensional subspaces. Segmentation of variables, number of clusters and their dimensions are selected based on BIC. Candidate models are identified based on many runs of K-means algorithm with different random initializations of cluster centers.
Encoding: UTF-8
License: GPL-3
Depends: R (>= 3.2.1)
Imports: RcppEigen, foreach, parallel, doParallel, doRNG, pesel
Suggests: knitr, mclust, rmarkdown, testthat
NeedsCompilation: no
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-06-26 05:36:40 UTC; piotr
Repository: CRAN
Date/Publication: 2019-06-26 10:10:37 UTC

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Package trade updated to version 0.5.4 with previous version 0.5.3 dated 2018-06-10

Title: Tools for Trade Practitioners
Description: A collection of tools for trade practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of tariffs and quotas under different competitive regimes. These tools are derived from Anderson et al. (2001) <doi:10.1016/S0047-2727(00)00085-2> and Froeb et al. (2003) <doi:10.1016/S0304-4076(02)00166-5>.
Author: Charles Taragin
Maintainer: Charles Taragin <ctaragin@ftc.gov>

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Package stochvol updated to version 2.0.4 with previous version 2.0.3 dated 2019-05-29

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002>; the most common use cases are described in Kastner (2016) <doi:10.18637/jss.v069.i05>. Also incorporates SV with leverage.
Author: Gregor Kastner [aut] (<https://orcid.org/0000-0002-8237-8271>), Darjus Hosszejni [aut, cre] (<https://orcid.org/0000-0002-3803-691X>)
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package rquery updated to version 1.3.5 with previous version 1.3.4 dated 2019-06-14

Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible table modeling step, plus explicit query reasoning and checking.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package RJDemetra updated to version 0.1.3 with previous version 0.1.2 dated 2019-04-16

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre], Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package Rilostat updated to version 1.0.1 with previous version 1.0.0 dated 2019-05-13

Title: ILO Open Data via Ilostat Bulk Download Facility or SDMX Web Service
Description: Tools to download data from the ilostat database <https://ilostat.ilo.org> together with search and manipulation utilities.
Author: ILO Department of Statistics [cph, fnd], David Bescond [aut, cre] (<https://orcid.org/0000-0002-1642-0304>), Rosina Gammarano [ctb], Mabelin Villarreal-Fuentes [ctb]
Maintainer: David Bescond <bescond@ilo.org>

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Package photobiologyFilters updated to version 0.5.0 with previous version 0.4.4 dated 2018-01-15

Title: Spectral Transmittance Data for Filters
Description: Spectral 'transmittance' data for frequently used filters and similar materials. Plastic sheets and films; photography filters; theatrical gels; machine-vision filters; various types of window glass; optical glass and some laboratory plastics and glassware. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (Contributed data), Tania de la Rosa [ctb] (Contributed data), Riitta Tegelberg [ctb] (Contributed data), Andreas Albert [ctb] (Contributed data), SCHOTT AG [ctb] (Contributed data), Midwest Optical Systems, Inc. (MidOpt) [ctb] (Contributed data)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package uGMAR updated to version 3.1.0 with previous version 3.0.1 dated 2018-09-22

Title: Estimate Univariate Gaussian or Student's t Mixture Autoregressive Model
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR) and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2018) <arXiv:1805.04010>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package tuber updated to version 0.9.8 with previous version 0.9.7 dated 2018-05-06

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package readtext updated to version 0.75 with previous version 0.74 dated 2019-05-08

Title: Import and Handling for Plain and Formatted Text Files
Description: Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.html', '.pdf', '.doc', '.docx', '.rtf', '.xls', '.xlsx', and others.
Author: Kenneth Benoit [aut, cre, cph], Adam Obeng [aut], Kohei Watanabe [ctb], Akitaka Matsuo [ctb], Paul Nulty [ctb], Stefan Müller [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package mschart updated to version 0.2.4 with previous version 0.2.3 dated 2018-04-19

Title: Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Description: Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
Author: David Gohel [aut, cre], YouGov [fnd], David Camposeco [ctb] (chart_data_smooth function)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package lcmm updated to version 1.8.1 with previous version 1.7.9 dated 2018-06-22

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

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Package SignifReg updated to version 2.1 with previous version 2.0 dated 2019-06-06

Title: Consistent Significance Controlled Variable Selection in Linear Regression
Description: Provide consistent significance controlled variable selection procedure with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, and p-value). The algorithm selects a final model with only significant variables based on a correction choice of False Discovery Rate, Bonferroni, or no correction.
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Jongwook Kim <jongwook226@gmail.com>

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Package RNGforGPD updated to version 1.0.2 with previous version 1.0.1 dated 2019-05-31

Title: Random Number Generation for Generalized Poisson Distribution
Description: Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017), and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012).
Author: Hesen Li, Ruizhe Chen, Hai Nguyen, Yu-che Chung, Ran Gao, Hakan Demirtas
Maintainer: Ruizhe Chen <rchen18@uic.edu>

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Package R62S3 updated to version 1.3.1 with previous version 1.2.1 dated 2019-05-24

Title: Automatic Method Generation from R6
Description: After defining an R6 class, R62S3 is used to automatically generate optional S3/S4 generics and methods for dispatch. Also allows piping for R6 objects.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package GADMTools updated to version 3.7-1 with previous version 3.6-1 dated 2019-03-17

Title: Easy Use of 'GADM' Maps
Description: Manipulate, assemble, export <http://www.gadm.org> maps. Create 'choropleth', 'isopleth', dots plot, proportional dots, dot-density and more.
Author: Jean Pierre Decorps [aut, cre], Morgane Vallee [ctb]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>

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Package DTAT updated to version 0.3-3 with previous version 0.3-2 dated 2019-06-04

Title: Dose Titration Algorithm Tuning
Description: DTAT is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017) <doi:10.12688/f1000research.10624.3> and Norris (2017) <doi:10.1101/240846>.
Author: David C. Norris [aut, cre]
Maintainer: David C. Norris <david@precisionmethods.guru>

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 DESCRIPTION                 |   10 +++++-----
 MD5                         |    3 ++-
 inst/doc/widget_D3-viz.html |only
 3 files changed, 7 insertions(+), 6 deletions(-)

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