Fri, 28 Sep 2018

Package xROI updated to version 0.9.9 with previous version 0.1.2 dated 2018-04-11

Title: Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.1.2 dated 2018-04-11 and 0.9.9 dated 2018-09-28

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 15 files changed, 101 insertions(+), 70 deletions(-)

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Package webshot updated to version 0.5.1 with previous version 0.5.0 dated 2017-11-29

Title: Take Screenshots of Web Pages
Description: Takes screenshots of web pages, including Shiny applications and R Markdown documents.
Author: Winston Chang [aut, cre], Yihui Xie [ctb], Francois Guillem [ctb], Barret Schloerke [ctb], Nicolas Perriault [ctb] (The CasperJS library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between webshot versions 0.5.0 dated 2017-11-29 and 0.5.1 dated 2018-09-28

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 19 files changed, 398 insertions(+), 154 deletions(-)

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Package roperators updated to version 1.1.0 with previous version 1.0.1 dated 2018-08-24

Title: Additional Operators to Help you Write Cleaner R Code
Description: Provides string arithmetic, reassignment operators, logical operators that handle missing values, and extra logical operators such as floating point equality and all or nothing. The intent is to allow R users to write code that is easier to read, write, and maintain while providing a friendlier experience to new R users from other language backgrounds (such as 'Python') who are used to concepts such as x += 1 and 'foo' + 'bar'.
Author: Ben Wiseman [cre, aut, ccp], Steven Nydick [aut, ccp], Jeff Jones [aut, led]
Maintainer: Ben Wiseman <benjamin.wiseman@kornferry.com>

Diff between roperators versions 1.0.1 dated 2018-08-24 and 1.1.0 dated 2018-09-28

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 18 files changed, 291 insertions(+), 192 deletions(-)

More information about roperators at CRAN
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New package rmytarget with initial version 1.1
Package: rmytarget
Type: Package
Title: Load Data from 'MyTarget API'
Version: 1.1
Date: 2018-09-12
Author: Alexey Seleznev
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Description: Allows work with 'MyTarget API' <https://target.my.com/adv/api-marketing/> and load data by ads, campaigns and statistic from your ads account.
URL: http://selesnow.github.io/rmytarget
Imports: httr, jsonlite, dplyr, lubridate, stringr
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-09-18 06:10:55 UTC; Alsey
Repository: CRAN
Date/Publication: 2018-09-28 21:30:06 UTC

More information about rmytarget at CRAN
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New package pzfx with initial version 0.1.0
Package: pzfx
Type: Package
Title: Read 'GraphPad Prism' Files
Version: 0.1.0
Authors@R: c( person("Yue", "Jiang", role = c("aut", "cre"), email = "rivehill@gmail.com", comment = c(ORCID = "0000-0002-9798-5517")) )
Description: Read 'GraphPad Prism' '.pzfx' files into R.
URL: https://github.com/Yue-Jiang/pzfx
BugReports: https://github.com/Yue-Jiang/pzfx/issues
Imports: xml2 (>= 1.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-09-18 04:42:57 UTC; yuejiang
Author: Yue Jiang [aut, cre] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yue Jiang <rivehill@gmail.com>
Repository: CRAN
Date/Publication: 2018-09-28 21:30:09 UTC

More information about pzfx at CRAN
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Package ggvis updated to version 0.4.4 with previous version 0.4.3 dated 2016-07-22

Title: Interactive Grammar of Graphics
Description: An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.
Author: Winston Chang [aut, cre], Hadley Wickham [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt), Mike Bostock [ctb, cph] (D3 library), D3 contributors [ctb] (D3 library; authors listed at https://github.com/mbostock/d3/graphs/contributors), Trifacta Inc. [cph] (Vega library), Vega contributors [ctb] (Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors), Sebastián Décima [ctb, cph] (javascript-detect-element-resize library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between ggvis versions 0.4.3 dated 2016-07-22 and 0.4.4 dated 2018-09-28

 DESCRIPTION                        |    8 -
 MD5                                |  204 ++++++++++++++++++-------------------
 NAMESPACE                          |   64 ++++++-----
 NEWS.md                            |    4 
 R/data_cocaine.R                   |    2 
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 README.md                          |   10 +
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 103 files changed, 338 insertions(+), 344 deletions(-)

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New package esquisse with initial version 0.1.5
Package: esquisse
Type: Package
Title: Explore and Visualize Your Data Interactively
Version: 0.1.5
Authors@R: c(person("Fanny", "Meyer", email = "fanny.meyer@dreamrs.fr", role = c("aut")), person("Victor", "Perrier", email = "victor.perrier@dreamrs.fr", role = c("aut", "cre")))
Description: A 'shiny' gadget to create 'ggplot2' charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to 'PNG' or 'PowerPoint', and retrieve the code to reproduce the chart.
URL: https://github.com/dreamRs/esquisse
BugReports: https://github.com/dreamRs/esquisse/issues
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: miniUI, rstudioapi, shiny, htmltools, jsonlite, shinyWidgets, ggplot2, ggthemes, RColorBrewer, scales, stringi
Suggests: officer, rvg, DT, testthat
NeedsCompilation: no
Packaged: 2018-09-18 15:05:13 UTC; perri
Author: Fanny Meyer [aut], Victor Perrier [aut, cre]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2018-09-28 22:00:03 UTC

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New package ddiv with initial version 0.1.0
Package: ddiv
Type: Package
Title: Data Driven I-v Feature Extraction
Description: The Data Driven I-V Feature Extraction is used to extract Current-Voltage (I-V) features from I-V curves. I-V curves indicate the relationship between current and voltage for a solar cell or Photovoltaic (PV) modules. The I-V features such as maximum power point (Pmp), shunt resistance (Rsh), series resistance (Rs),short circuit current (Isc), open circuit voltage (Voc), fill factor (FF), current at maximum power (Imp) and voltage at maximum power(Vmp) contain important information of the performance for PV modules. The traditional method uses the single diode model to model I-V curves and extract I-V features. This package does not use the diode model, but uses data-driven a method which select different linear parts of the I-V curves to extract I-V features. This method also uses a sampling method to calculate uncertainties when extracting I-V features. Also, because of the partially shaded array, "steps" occurs in I-V curves. The "Segmented Regression" method is used to identify steps in I-V curves. This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140.
Version: 0.1.0
Authors@R: c(person("Wei-Heng", "Huang", email="wxh272@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-6609-4981")), person("Xuan", "Ma", email="xxm115@case.edu", role=c("aut","cre"), comment = c(ORCID = "0000-0003-2361-2846")), person("Jiqi", "Liu", email="jxl1763@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0003-2016-4160")), person("Menghong", "Wang", email="mxw477@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0001-7349-699X")), person("Alan J.", "Curran", email="ajc269@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0002-4505-8359")), person("Justin S.", "Fada", email="jsf77@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0002-0029-5051")), person("Jean-Nicolas", "Jaubert", email="jn.jaubert@canadiansolar.com", role=c("ctb"), comment = c(ORCID = "0000-0002-9663-6999")), person("Jing", "Sun", email="J.Sun@canadiansolar.com", role=c("ctb"), comment = c(ORCID = "0000-0002-4313-2316")), person("Jennifer L.", "Braid", email="jlb269@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0002-0677-7756")), person("Jenny", "Brynjarsdottir", email="jxb628@case.edu", role=c("ctb"), comment = c(ORCID = "0000-0003-1859-4962")), person("Roger H.", "French", email="rxf131@case.edu", role=c("aut","cph"), comment = c(ORCID = "0000-0002-6162-0532")) )
Depends: R (>= 3.4.0)
Imports: MASS (>= 0.5-3.0), segmented (>= 0.5-3.0)
Suggests: rmarkdown, testthat, knitr
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-09-18 18:30:20 UTC; xuanma
Author: Wei-Heng Huang [aut] (<https://orcid.org/0000-0002-6609-4981>), Xuan Ma [aut, cre] (<https://orcid.org/0000-0003-2361-2846>), Jiqi Liu [ctb] (<https://orcid.org/0000-0003-2016-4160>), Menghong Wang [ctb] (<https://orcid.org/0000-0001-7349-699X>), Alan J. Curran [ctb] (<https://orcid.org/0000-0002-4505-8359>), Justin S. Fada [ctb] (<https://orcid.org/0000-0002-0029-5051>), Jean-Nicolas Jaubert [ctb] (<https://orcid.org/0000-0002-9663-6999>), Jing Sun [ctb] (<https://orcid.org/0000-0002-4313-2316>), Jennifer L. Braid [ctb] (<https://orcid.org/0000-0002-0677-7756>), Jenny Brynjarsdottir [ctb] (<https://orcid.org/0000-0003-1859-4962>), Roger H. French [aut, cph] (<https://orcid.org/0000-0002-6162-0532>)
Maintainer: Xuan Ma <xxm115@case.edu>
Repository: CRAN
Date/Publication: 2018-09-28 21:50:10 UTC

More information about ddiv at CRAN
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Package SolveLS (with last version 1.0) was removed from CRAN

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

2018-02-12 1.0

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Package rtweet updated to version 0.6.8 with previous version 0.6.7 dated 2018-06-20

Title: Collecting Twitter Data
Description: An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>.
Author: Michael W. Kearney [aut, cre] (<https://orcid.org/0000-0002-0730-4694>)
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>

Diff between rtweet versions 0.6.7 dated 2018-06-20 and 0.6.8 dated 2018-09-28

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Permanent link

New package titeIR with initial version 0.1.0
Package: titeIR
Type: Package
Title: Isotonic Designs for Phase 1 Trials with Late-Onset Toxicities
Version: 0.1.0
Authors@R: c(person("Lee", "McDaniel", role = c("aut", "cre"),email = "lmcda4@lsuhsc.edu"))
Maintainer: Lee McDaniel <lmcda4@lsuhsc.edu>
Date: 2018-09-17
Description: Functions to design phase 1 trials using an isotonic regression based design incorporating time-to-event information. Simulation and design functions are available, which incorporate information about followup and DLTs, and apply isotonic regression to devise estimates of DLT probability.
License: GPL-3
Imports: Iso
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-17 21:29:14 UTC; lmcda4
Author: Lee McDaniel [aut, cre]
Repository: CRAN
Date/Publication: 2018-09-28 18:10:03 UTC

More information about titeIR at CRAN
Permanent link

Package sigr updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-17

Title: Succinct and Correct Statistical Summaries for Reports
Description: Succinctly and correctly format statistical summaries of various models and tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance). The main purpose is unified reporting of experimental results, working around issue such as the difficulty of extracting model summary facts (such as with 'lm'/'glm'). This package also includes empirical tests, such as bootstrap estimates.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between sigr versions 1.0.0 dated 2018-09-17 and 1.0.1 dated 2018-09-28

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Package sigora updated to version 3.0.1 with previous version 2.0.1 dated 2016-05-10

Title: Signature Overrepresentation Analysis
Description: Pathway Analysis is the process of statistically linking observations on the molecular level to biological processes or pathways on the systems (organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. This can lead to identification of spurious (misleading) pathways as statistically significant, since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene-pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse data sets and contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories as well as mechanisms for extracting GPS for user supplied repositories.
Author: Amir B.K. Foroushani, Fiona S.L. Brinkman, David J. Lynn
Maintainer: Amir Foroushani <sigora.dev@gmail.com>

Diff between sigora versions 2.0.1 dated 2016-05-10 and 3.0.1 dated 2018-09-28

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More information about sigora at CRAN
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Package scalpel updated to version 1.0.1 with previous version 1.0.0 dated 2017-03-14

Title: Processes Calcium Imaging Data
Description: Identifies the locations of neurons, and estimates their calcium concentrations over time using the SCALPEL method proposed in Petersen, A., Simon, N., and Witten, D. SCALPEL: Extracting Neurons from Calcium Imaging Data <https://ajpetecom.files.wordpress.com/2017/12/scalpel_dec17.pdf>, which is to appear in the Annals of Applied Statistics.
Author: Ashley Petersen
Maintainer: Ashley Petersen <ashleyjpete@gmail.com>

Diff between scalpel versions 1.0.0 dated 2017-03-14 and 1.0.1 dated 2018-09-28

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New package HDcpDetect with initial version 0.1.0
Package: HDcpDetect
Type: Package
Title: Detect Change Points in Means of High Dimensional Data
Version: 0.1.0
Author: Jeffrey Okamoto [aut], Natasha Stewart [aut], Dr. Jun Li [aut]
Maintainer: Natasha Stewart <natashastewart@utexas.edu>
Description: Objective: Implement new methods for detecting change points in high-dimensional time series data. These new methods can be applied to non-Gaussian data, account for spatial and temporal dependence, and detect a wide variety of change-point configurations, including changes near the boundary and changes in close proximity. Additionally, this package helps address the “small n, large p” problem, which occurs in many research contexts. This problem arises when a dataset contains changes that are visually evident but do not rise to the level of statistical significance due to the small number of observations and large number of parameters. The problem is overcome by treating the dimensions as a whole and scaling the test statistics only by its standard deviation, rather than scaling each dimension individually. Due to the computational complexity of the functions, the package runs best on datasets with a relatively large number of attributes but no more than a few hundred observations.
License: GPL-3
Depends: R (>= 2.10)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2018-09-27 12:18:17 UTC; natas
Repository: CRAN
Date/Publication: 2018-09-28 18:20:03 UTC

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New package crfsuite with initial version 0.1
Package: crfsuite
Type: Package
Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Version: 0.1
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), person('BNOSAC', role = 'cph', comment = "R wrapper"), person("Naoaki", "Okazaki", role = c('aut', 'ctb', 'cph'), comment = "CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)"), person("Bob", "Jenkins", role = c('aut', 'ctb'), comment = "File src/cqdb/src/lookup3.c (Public Domain)"), person("Jorge", "Nocedal", role = c('aut', 'ctb', 'cph'), comment = "libLBFGS library (MIT licensed)"), person("Jesse", "Long", role = c('aut', 'ctb', 'cph'), comment = "RumAVL library (MIT licensed)"))
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
License: BSD_3_clause + file LICENSE
Depends: R (>= 2.10)
Imports: Rcpp, data.table (>= 1.9.6), utils, tools
Suggests: udpipe, knitr
LinkingTo: Rcpp
RoxygenNote: 6.0.1
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-09-17 21:16:34 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)), Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)), Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)), Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Repository: CRAN
Date/Publication: 2018-09-28 18:10:10 UTC

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Package ADMM updated to version 0.3.1 with previous version 0.3.0 dated 2018-05-29

Title: Algorithms using Alternating Direction Method of Multipliers
Description: Provides algorithms to solve popular optimization problems in statistics such as regression or denoising based on Alternating Direction Method of Multipliers (ADMM). See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>), Xiaozhi Zhu [aut]
Maintainer: Kisung You <kyou@nd.edu>

Diff between ADMM versions 0.3.0 dated 2018-05-29 and 0.3.1 dated 2018-09-28

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Package Rdimtools updated to version 0.4.0 with previous version 0.3.2 dated 2018-03-05

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyou@nd.edu>

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More information about Rdimtools at CRAN
Permanent link

Package BETS updated to version 0.4.9 with previous version 0.4.4 dated 2018-06-19

Title: Brazilian Economic Time Series
Description: It provides access to and information about the most important Brazilian economic time series - from the Getulio Vargas Foundation <http://portal.fgv.br/en>, the Central Bank of Brazil <http://www.bcb.gov.br> and the Brazilian Institute of Geography and Statistics <http://www.ibge.gov.br>. It also presents tools for managing, analysing (e.g. generating dynamic reports with a complete analysis of a series) and exporting these time series.
Author: Pedro Costa Ferreira [aut], Talitha Speranza [aut, cre], Jonatha Costa [aut], Fernando Teixeira [ctb], Daiane Marcolino [ctb]
Maintainer: Talitha Speranza <talitha.speranza@fgv.br>

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Package textreadr updated to version 0.9.0 with previous version 0.8.1 dated 2018-09-27

Title: Read Text Documents into R
Description: A small collection of convenience tools for reading text documents into R.
Author: Tyler Rinker [aut, cre], Bryan Goodrich [ctb], Dason Kurkiewicz [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textreadr versions 0.8.1 dated 2018-09-27 and 0.9.0 dated 2018-09-28

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Package betareg updated to version 3.1-1 with previous version 3.1-0 dated 2016-08-05

Title: Beta Regression
Description: Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.
Author: Achim Zeileis [aut, cre], Francisco Cribari-Neto [aut], Bettina Gruen [aut], Ioannis Kosmidis [aut], Alexandre B. Simas [ctb] (earlier version by), Andrea V. Rocha [ctb] (earlier version by)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between betareg versions 3.1-0 dated 2016-08-05 and 3.1-1 dated 2018-09-28

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Package quint updated to version 2.0.0 with previous version 1.2.2 dated 2018-08-22

Title: Qualitative Interaction Trees
Description: Grows a qualitative interaction tree. Quint is a tool for subgroup analysis, suitable for data from a two-arm randomized controlled trial.
Author: Elise Dusseldorp [aut, cre, cph], Lisa Doove [aut], Jeanne van de Put [aut], Cor Ninaber [ctb] (supported with the plot function), Iven Van Mechelen [aut, cph], Juan Claramunt Gonzalez [ctb]
Maintainer: Elise Dusseldorp <elise.dusseldorp@fsw.leidenuniv.nl>

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Package taxotools updated to version 0.0.4 with previous version 0.0.3 dated 2018-09-16

Title: Tools to Handle Taxonomic Lists
Description: Some tools to work with taxonomic name lists.
Author: Vijay Barve [aut, cre] (<https://orcid.org/0000-0002-4852-2567>)
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between taxotools versions 0.0.3 dated 2018-09-16 and 0.0.4 dated 2018-09-28

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Package Rvcg updated to version 0.18 with previous version 0.17 dated 2017-09-07

Title: Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Description: Operations on triangular meshes based on 'VCGLIB'. This package integrates nicely with the R-package 'rgl' to render the meshes processed by 'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI <http://vcg.isti.cnr.it>, like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk <https://github.com/cnr-isti-vclab/vcglib> and patched to work with options determined by the configure script as well as to work with the header files included by 'RcppEigen'.
Author: Stefan Schlager [aut, cre, cph], Girinon Francois [ctb]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Rvcg versions 0.17 dated 2017-09-07 and 0.18 dated 2018-09-28

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Package antaresProcessing updated to version 0.16.0 with previous version 0.15.3 dated 2018-06-01

Title: 'Antares' Results Processing
Description: Process results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>. This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between antaresProcessing versions 0.15.3 dated 2018-06-01 and 0.16.0 dated 2018-09-28

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Package gifski updated to version 0.8.6 with previous version 0.8.3 dated 2018-07-20

Title: Highest Quality GIF Encoder
Description: Multi-threaded GIF encoder written in Rust: <https://gif.ski/>. Converts images to GIF animations using pngquant's efficient cross-frame palettes and temporal dithering with thousands of colors per frame.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Kornel Lesiński [cph] (Gifski Rust library)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between gifski versions 0.8.3 dated 2018-07-20 and 0.8.6 dated 2018-09-28

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Package antaresRead updated to version 2.2.0 with previous version 2.1.2 dated 2018-06-04

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between antaresRead versions 2.1.2 dated 2018-06-04 and 2.2.0 dated 2018-09-28

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Package spdep updated to version 0.7-9 with previous version 0.7-8 dated 2018-08-15

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I', 'APLE', 'Gearys C', 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' Index, 'Getis/Ord' G and multicoloured join count statistics, local 'Moran's I' and 'Getis/Ord' G, 'saddlepoint' approximations, exact tests for global and local 'Moran's I' and 'LOSH' local indicators of spatial heteroscedasticity; and functions for estimating spatial simultaneous 'autoregressive' ('SAR') lag and error models, impact measures for lag models, weighted and 'unweighted' 'SAR' and 'CAR' spatial regression models, semi-parametric and Moran 'eigenvector' spatial filtering, 'GM SAR' error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], René Westerholt [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package spaMM updated to version 2.5.0 with previous version 2.4.35 dated 2018-05-19

Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a generalized linear mixed model. Various approximations of likelihood or restricted likelihood are implemented, in particular h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) and Laplace approximation.
Author: François Rousset [aut, cre, cph] (<https://orcid.org/0000-0003-4670-0371>), Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>), GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

Diff between spaMM versions 2.4.35 dated 2018-05-19 and 2.5.0 dated 2018-09-28

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Package getTBinR updated to version 0.5.5 with previous version 0.5.4 dated 2018-05-16

Title: Get WHO Tuberculosis Data
Description: Facilitates easy import of analysis ready World Health Organisation Tuberculosis data and provides plotting functions for exploratory data analysis.
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>)
Maintainer: Sam Abbott <contact@samabbott.co.uk>

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Package AMR (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:

2018-08-14 0.3.0
2018-05-06 0.2.0
2018-03-14 0.1.1
2018-02-22 0.1.0

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Package SCGLR updated to version 3.0 with previous version 2.0.3 dated 2016-03-16

Title: Supervised Component Generalized Linear Regression
Description: An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can also be grouped in themes.
Author: Guillaume Cornu [aut, cre] (<https://orcid.org/0000-0002-7523-5176>), Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut], Sylvie Gourlet-Fleury [dtc] (<https://orcid.org/0000-0002-1136-4307>, http://www.coforchange.eu/), Claude Garcia [dtc] (<https://orcid.org/0000-0002-7351-0226>, http://www.cofortips.org/)
Maintainer: Guillaume Cornu <gcornu@cirad.fr>

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Package ShinyItemAnalysis updated to version 1.2.8 with previous version 1.2.7 dated 2018-05-06

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 Drabinova [aut], Ondrej Leder [aut], Jakub Houdek [aut], Lubomir Stepanek [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

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Package rgrass7 updated to version 0.1-12 with previous version 0.1-10 dated 2017-10-11

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between 'GRASS' 7 geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
Author: Roger Bivand [cre, aut], Rainer Krug [ctb], Markus Neteler [ctb], Sebastian Jeworutzki [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package restriktor updated to version 0.1-80.811 with previous version 0.1-80.711 dated 2017-12-04

Title: Restricted Statistical Estimation and Inference for Linear Models
Description: Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.
Author: Leonard Vanbrabant [aut, cre], Yves Rosseel [ctb]
Maintainer: Leonard Vanbrabant <Leonard.Vanbrabant@Ugent.be>

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Package NLMR updated to version 0.3.1 with previous version 0.3.0 dated 2018-04-03

Title: Simulating Neutral Landscape Models
Description: Provides neutral landscape models (<doi:10.1007/BF02275262>, <http://sci-hub.tw/10.1007/bf02275262>). Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'nlmr' combines a large number of algorithms from other published software for simulating neutral landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
Author: Marco Sciaini [aut, cre] (<https://orcid.org/0000-0002-3042-5435>), Matthias Fritsch [aut], Craig Simpkins [aut] (<https://orcid.org/0000-0003-3212-1379>), Cédric Scherer [aut] (<https://orcid.org/0000-0003-0465-2543>), Laura Graham [rev] (Laura reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188), Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188)
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>

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Package FourScores updated to version 1.5.0 with previous version 1.0 dated 2011-11-02

Title: A Game for Human vs. Human or Human vs. AI
Description: A game for two players: Who gets first four in a row (horizontal, vertical or diagonal) wins. As board game published by Milton Bradley, designed by Howard Wexler and Ned Strongin.
Author: Matthias Speidel [aut, cre]
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

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New package airGR with initial version 1.0.14.1
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.0.14.1
Date: 2018-09-28
Authors@R: c( person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")), person("Charles", "Perrin", role = c("aut", "ths"), comment = c(ORCID = "0000-0001-8552-1881")), person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@irstea.fr"), person("Guillaume", "Thirel", role = c("aut"), comment = c(ORCID = "0000-0002-1444-1830")), person("Claude", "Michel", role = c("aut", "ths")), person("Vazken", "Andréassian", role = c("ctb", "ths"), comment = c(ORCID = "0000-0001-7124-9303")), person("François", "Bourgin", role = c("ctb"), comment = c(ORCID = "0000-0002-2820-7260", vignette = "'Parameter estimation' vignettes")), person("Pierre", "Brigode", role = c("ctb"), comment = c(ORCID = "0000-0001-8257-0741")), person("Nicolas", "Le Moine", role = c("ctb")), person("Thibaut", "Mathevet", role = c("ctb")), person("Safouane", "Mouelhi", role = c("ctb")), person("Ludovic", "Oudin", role = c("ctb")), person("Raji", "Pushpalatha", role = c("ctb")), person("Audrey", "Valéry", role = c("ctb")) )
Depends: R (>= 3.0.1)
Suggests: knitr, rmarkdown, coda, DEoptim, dplyr, FME, ggmcmc, hydroPSO, Rmalschains
Description: Hydrological modelling tools developed at Irstea-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description and references.
License: GPL-2
URL: https://webgr.irstea.fr/en/airGR/
NeedsCompilation: yes
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2018-09-28 07:20:22 UTC; olivier.delaigue
Author: Laurent Coron [aut, trl] (<https://orcid.org/0000-0002-1503-6204>), Charles Perrin [aut, ths] (<https://orcid.org/0000-0001-8552-1881>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [aut] (<https://orcid.org/0000-0002-1444-1830>), Claude Michel [aut, ths], Vazken Andréassian [ctb, ths] (<https://orcid.org/0000-0001-7124-9303>), François Bourgin [ctb] (<https://orcid.org/0000-0002-2820-7260>, 'Parameter estimation' vignettes), Pierre Brigode [ctb] (<https://orcid.org/0000-0001-8257-0741>), Nicolas Le Moine [ctb], Thibaut Mathevet [ctb], Safouane Mouelhi [ctb], Ludovic Oudin [ctb], Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@irstea.fr>
Repository: CRAN
Date/Publication: 2018-09-28 08:50:07 UTC

More information about airGR at CRAN
Permanent link

Package ecoval updated to version 1.2.1 with previous version 1.2 dated 2018-05-06

Title: Procedures for Ecological Assessment of Surface Waters
Description: Functions for evaluating and visualizing ecological assessment procedures for surface waters containing physical, chemical and biological assessments in the form of value functions.
Author: Nele Schuwirth <nele.schuwirth@eawag.ch> and Peter Reichert <peter.reichert@eawag.ch> with contributions by Simone Langhans and Christian Michel
Maintainer: Nele Schuwirth <nele.schuwirth@eawag.ch>

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Package phytools updated to version 0.6-60 with previous version 0.6-44 dated 2017-11-12

Title: Phylogenetic Tools for Comparative Biology (and Other Things)
Description: A wide range of functions for phylogenetic analysis. Functionality is concentrated in phylogenetic comparative biology, but also includes a diverse array of methods for visualizing, manipulating, reading or writing, and even inferring phylogenetic trees and data. Included among the functions in phylogenetic comparative biology are various for ancestral state reconstruction, model-fitting, simulation of phylogenies and data, and multivariate analysis. There are a broad range of plotting methods for phylogenies and comparative data which include, but are not restricted to, methods for mapping trait evolution on trees, for projecting trees into phenotypic space or a geographic map, and for visualizing correlated speciation between trees. Finally, there are a number of functions for reading, writing, analyzing, inferring, simulating, and manipulating phylogenetic trees and comparative data not covered by other packages. For instance, there are functions for randomly or non-randomly attaching species or clades to a phylogeny, for estimating supertrees or consensus phylogenies from a set, for simulating trees and phylogenetic data under a range of models, and for a wide variety of other manipulations and analyses that phylogenetic biologists might find useful in their research.
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

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Package MaxPro updated to version 4.1-2 with previous version 3.1-1 dated 2015-01-27

Title: Maximum Projection Designs
Description: Generate maximum projection (MaxPro) designs for quantitative and/or qualitative factors. Details of the MaxPro criterion can be found in: (1) Joseph, Gul, and Ba. (2015) "Maximum Projection Designs for Computer Experiments", Biometrika, 102, 371-380, and (2) Joseph, Gul, and Ba. (2018) "Designing Computer Experiments with Multiple Types of Factors: The MaxPro Approach", Journal of Quality Technology, to appear.
Author: Shan Ba and V. Roshan Joseph
Maintainer: Shan Ba <shanbatr@gmail.com>

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Package ecm updated to version 4.3.0 with previous version 4.2.0 dated 2018-07-07

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

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