Tue, 09 Jun 2020

Package TechPhD (with last version 1.0.0) was removed from CRAN

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

2020-05-25 1.0.0

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Package SSDforR updated to version 1.5.16 with previous version 1.5.15 dated 2020-04-19

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

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Package promises updated to version 1.1.1 with previous version 1.1.0 dated 2019-10-04

Title: Abstractions for Promise-Based Asynchronous Programming
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Author: Joe Cheng [aut, cre], RStudio [cph, fnd]
Maintainer: Joe Cheng <joe@rstudio.com>

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Package ryandexdirect updated to version 3.6.0 with previous version 3.5.0 dated 2020-05-06

Title: Load Data From 'Yandex Direct'
Description: Load data from 'Yandex Direct' API V5 <https://tech.yandex.ru/direct/doc/dg/concepts/about-docpage/> into R. Provide function for load lists of campaings, ads, keywords and other objects from 'Yandex Direct' account. Also you can load statistic from API 'Reports Service' <https://tech.yandex.ru/direct/doc/reports/reports-docpage/>. And allows keyword bids management.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>)
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package shinybrms updated to version 1.1.0 with previous version 1.0.1 dated 2020-03-26

Title: Graphical User Interface (Shiny App) for Package 'brms'
Description: A graphical user interface (GUI) for the package 'brms' which allows to fit Bayesian regression models using 'Stan' (<https://mc-stan.org/>) (more specifically, using its R interface, the package 'rstan'). The GUI is a 'Shiny' (<https://shiny.rstudio.com/>) app, i.e. it was created using the package 'shiny'.
Author: Frank Weber [aut, cre]
Maintainer: Frank Weber <fweber144@protonmail.com>

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Package MultNonParam updated to version 1.3.4 with previous version 1.3.3 dated 2020-03-09

Title: Multivariate Nonparametric Methods
Description: A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics.
Author: John E. Kolassa [cre], Stephane Jankowski [aut]
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package SemNetCleaner updated to version 1.2.0 with previous version 1.1.5 dated 2020-03-22

Title: An Automated Cleaning Tool for Semantic and Linguistic Data
Description: Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package mvtnorm updated to version 1.1-1 with previous version 1.1-0 dated 2020-02-24

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] (<https://orcid.org/0000-0002-6294-8185>), Martin Maechler [ctb], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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New package jackstrap with initial version 0.1.0
Package: jackstrap
Type: Package
Title: Correcting Nonparametric Frontier Measurements for Outliers
Version: 0.1.0
Authors@R: c( person("Kleber Morais de","Sousa", role = c("aut", "cre"), email = "kleberfinancas@gmail.com"), person("Maria da Conceicao Sampaio de", "Sousa", role = c("aut"), email = "csampaiodesousa@gmail.com"), person("Paulo Aguiar do", "Monte", role = c("aut"), email = "pauloaguiardomonte@gmail.com") )
Author: Kleber Morais de Sousa [aut, cre], Maria da Conceicao Sampaio de Sousa [aut], Paulo Aguiar do Monte [aut]
Maintainer: Kleber Morais de Sousa <kleberfinancas@gmail.com>
Description: Provides method used to check whether data have outlier in efficiency measurement of big samples with data envelopment analysis (DEA). In this jackstrap method, the package provides two criteria to define outliers: heaviside and k-s test. The technique was developed by Sousa and Stosic (2005) "Technical Efficiency of the Brazilian Municipalities: Correcting Nonparametric Frontier Measurements for Outliers." <doi:10.1007/s11123-005-4702-4>.
Depends: R (>= 2.15.1)
Imports: fBasics, Benchmarking, dplyr, ggplot2, foreach, doParallel, reshape, tidyr, scales, parallel, graphics, plyr, rlang, utils
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-06 11:46:30 UTC; kleber
Repository: CRAN
Date/Publication: 2020-06-09 15:10:02 UTC

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Package ggspatial updated to version 1.1.3 with previous version 1.1.2 dated 2020-05-26

Title: Spatial Data Framework for ggplot2
Description: Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Brent Thorne [ctb] (<https://orcid.org/0000-0002-1099-3857>)
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package bssm updated to version 1.0.0 with previous version 0.1.11 dated 2020-02-26

Title: Bayesian Inference of Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel importance sampling type weighted estimators (Vihola, Helske, and Franks, 2020, <arXiv:1609.02541>). Gaussian, Poisson, binomial, negative binomial, and Gamma observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package BayesianPower updated to version 0.2.0 with previous version 0.1.6 dated 2019-05-31

Title: Sample Size and Power for Comparing Inequality Constrained Hypotheses
Description: A collection of methods to determine the required sample size for the evaluation of inequality constrained hypotheses by means of a Bayes factor. Alternatively, for a given sample size, the unconditional error probabilities or the expected conditional error probabilities can be determined. Additional material on the methods in this package is available in Klaassen, F., Hoijtink, H. & Gu, X. (2019) <doi:10.31219/osf.io/d5kf3>.
Author: Fayette Klaassen
Maintainer: Fayette Klaassen <klaassen.fayette@gmail.com>

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Package StanHeaders updated to version 2.21.0-5 with previous version 2.21.0-3 dated 2020-05-28

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut], Mitzi Morris [aut], Jeffrey Arnold [aut], Rob Goedman [aut], Brian Lau [aut], Rob Trangucci [aut], Jonah Gabry [aut], Alp Kucukelbir [aut], Robert Grant [aut], Dustin Tran [aut], Michael Malecki [aut], Yuanjun Gao [aut], Trustees of Columbia University [cph], Lawrence Livermore National Security [cph] (CVODES), The Regents of the University of California [cph] (CVODES), Southern Methodist University [cph] (CVODES)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package SemNeT updated to version 1.3.0 with previous version 1.2.0 dated 2020-03-21

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Yoed N. Kenett [aut, ctb] (<https://orcid.org/0000-0003-3872-7689>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package RcppArmadillo updated to version 0.9.900.1.0 with previous version 0.9.880.1.0 dated 2020-05-17

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package quantdates with initial version 1.0
Package: quantdates
Type: Package
Title: Manipulate Dates for Finance
Version: 1.0
Authors@R: c(person("Julian", "Chitiva",email="julian.chitiva@quantil.com.co", role =c("aut","cre")),person("Diego", "Jara", role = "aut"), person("Erick", "Translateur", role = c("com")),person("Quantil S.A.S", role = c("aut","cph")))
Maintainer: Julian Chitiva <julian.chitiva@quantil.com.co>
Description: Functions to manipulate dates and count days for quantitative finance analysis. The 'quantdates' package considers leap, holidays and business days for relevant calendars in a financial context to simplify quantitative finance calculations, consistent with International Swaps and Derivatives Association (ISDA) (2006) <https://www.isda.org/book/2006-isda-definitions/> regulations.
Encoding: UTF-8
LazyData: true
License: GPL-3
BugReports: https://github.com/quantilma/quantdates/issues
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: lubridate (>= 1.7.4)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-05 23:05:34 UTC; julianchitiva
Author: Julian Chitiva [aut, cre], Diego Jara [aut], Erick Translateur [com], Quantil S.A.S [aut, cph]
Repository: CRAN
Date/Publication: 2020-06-09 14:30:02 UTC

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Package PTXQC updated to version 1.0.5 with previous version 1.0.4 dated 2020-03-28

Title: Quality Report Generation for MaxQuant and mzTab Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (from .txt files) or mzTab files (ideally from OpenMS 'QualityControl' tool). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow [aut, cre], Juliane Schmachtenberg [ctb], Swenja Wagner [ctb], Patricia Scheil [ctb], Tom Waschischek [ctb], Guido Mastrobuoni [dtc, rev]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

Diff between PTXQC versions 1.0.4 dated 2020-03-28 and 1.0.5 dated 2020-06-09

 DESCRIPTION                                 |   10 -
 MD5                                         |   68 +++++------
 NAMESPACE                                   |    2 
 NEWS                                        |    4 
 R/MzTabReader.R                             |    7 -
 R/PTXQC.R                                   |    1 
 R/qcMetric_PAR.R                            |   25 ++--
 README.md                                   |    5 
 build/vignette.rds                          |binary
 inst/doc/PTXQC-Basic_Guide_for_R_users.html |   17 --
 inst/doc/PTXQC-CustomizeReport.html         |   17 --
 inst/doc/PTXQC-DragNDrop.html               |   17 --
 inst/doc/PTXQC-FAQ.html                     |   29 ----
 inst/doc/PTXQC-Input_And_Output_Data.html   |   17 --
 inst/doc/PTXQC-ListOfMetrics.html           |  169 ++++++++++++----------------
 man/CV.Rd                                   |   32 ++---
 man/LCS.Rd                                  |   38 +++---
 man/PTXQC.Rd                                |    2 
 man/RSD.Rd                                  |   32 ++---
 man/addGGtitle.Rd                           |   44 +++----
 man/del0.Rd                                 |   32 ++---
 man/getMetaData.Rd                          |   36 ++---
 man/getMetricsObjects.Rd                    |   32 ++---
 man/ggText.Rd                               |   40 +++---
 man/grapes-plus-grapes.Rd                   |   36 ++---
 man/lcpCount.Rd                             |   32 ++---
 man/lcsCount.Rd                             |   32 ++---
 man/pasten.Rd                               |   42 +++---
 man/pastet.Rd                               |   42 +++---
 man/print.PTXQC_table.Rd                    |   30 ++--
 man/printWithFooter.Rd                      |   40 +++---
 man/qcMetric_MSMSScans_TopNoverRT-class.Rd  |   20 +--
 man/repEach.Rd                              |   46 +++----
 man/scale01linear.Rd                        |   36 ++---
 man/theme_blank.Rd                          |   26 ++--
 35 files changed, 495 insertions(+), 563 deletions(-)

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New package lowpassFilter with initial version 1.0-0
Package: lowpassFilter
Title: Lowpass Filtering
Version: 1.0-0
Authors@R: c(person("Pein", "Florian", role = c("aut", "cre"), email = "fpein@maths.cam.ac.uk"), person("Thomas", "Hotz", role = "ctb", email = "thomas.hotz@tu-ilmenau.de"), person("Inder", "Tecuapetla-Gómez", role = "ctb", email = "itecuapetla@conabio.gob.mx"))
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.3), stats, methods
LinkingTo: Rcpp
Suggests: testthat
Description: Creates lowpass filters which are commonly used in ion channel recordings. It supports generation of random numbers that are filtered, i.e. follow a model for ion channel recordings, see <doi:10.1109/TNB.2018.2845126>. Furthermore, time continuous convolutions of piecewise constant signals with the kernel of lowpass filters can be computed.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-06-06 10:57:18 UTC; fpein
Author: Pein Florian [aut, cre], Thomas Hotz [ctb], Inder Tecuapetla-Gómez [ctb]
Maintainer: Pein Florian <fpein@maths.cam.ac.uk>
Repository: CRAN
Date/Publication: 2020-06-09 15:00:02 UTC

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Package gmp updated to version 0.6-0 with previous version 0.5-14 dated 2020-05-17

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>, Sylvain Jasson <Sylvain.Jasson@inrae.fr>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

Diff between gmp versions 0.5-14 dated 2020-05-17 and 0.6-0 dated 2020-06-09

 ChangeLog                |   15 +++
 DESCRIPTION              |   10 +-
 MD5                      |   60 +++++++--------
 NAMESPACE                |   66 ++++++++++-------
 R/AllClasses-etc.R       |   25 ++++++
 R/biginteger.R           |  117 ++++++++++++++++++++++--------
 R/bigq.R                 |   88 +++++++++++++++++------
 src/biginteger.cc        |    2 
 src/biginteger.h         |    2 
 src/bigintegerR.cc       |    2 
 src/bigintegerR.h        |    2 
 src/bigmod.h             |    2 
 src/bigrational.cc       |    2 
 src/bigrational.h        |    2 
 src/bigrationalR.cc      |    2 
 src/bigrationalR.h       |    2 
 src/bigvec.h             |    2 
 src/bigvec_q.h           |    2 
 src/extract_matrix.h     |    2 
 src/factor.cc            |    2 
 src/factor.h             |    2 
 src/matrix.cc            |    2 
 src/matrix.h             |    2 
 src/matrixq.cc           |    2 
 src/matrixq.h            |    2 
 src/solve.cc             |    2 
 src/solve.h              |    2 
 tests/arith-ex.R         |   15 +++
 tests/basic-ex.R         |   12 +++
 tests/gmp-test.R         |    4 -
 tests/gmp-test.Rout.save |  179 +++++++++++++++++++++++++----------------------
 31 files changed, 412 insertions(+), 219 deletions(-)

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New package boundingbox with initial version 1.0.1
Package: boundingbox
Type: Package
Title: Create a Bounding Box in an Image
Version: 1.0.1
Authors@R: person("David", "Stomski", email = "stomperusa@verizon.net", role = c("aut", "cre"))
Description: Generate ground truth cases for object localization algorithms. Cycle through a list of images, select points around which to generate bounding boxes and assign classifiers. Output the coordinates, and images annotated with boxes and labels. For an example study that uses bounding boxes for image localization and classification see Ibrahim, Badr, Abdallah, and Eissa (2012) "Bounding Box Object Localization Based on Image Superpixelization" <doi:10.1016/j.procs.2012.09.119>.
License: MIT + file LICENSE
URL: <https://github.com/stomperusa/boundingbox>
Encoding: UTF-8
LazyData: true
Imports: imager, grDevices, graphics, utils, tools, gplots
RoxygenNote: 7.1.0
Suggests: testthat, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-06 00:17:07 UTC; stomperusa
Author: David Stomski [aut, cre]
Maintainer: David Stomski <stomperusa@verizon.net>
Repository: CRAN
Date/Publication: 2020-06-09 14:40:02 UTC

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New package UComp with initial version 1.0
Package: UComp
Version: 1.0
Title: Automatic Unobserved Components Models
Authors@R: c(person("Diego J.", "Pedregal", role = c("aut", "cre"), email = "Diego.Pedregal@uclm.es", comment = c(ORCID = "0000-0003-4958-0969")))
Description: Comprehensive analysis and forecasting of univariate time series using automatic unobserved components models and algorithms. Harvey, AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal, DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>.
Author: Diego J. Pedregal [aut, cre] (<https://orcid.org/0000-0003-4958-0969>)
Depends: Rcpp (>= 1.0.3)
Imports: stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>
RoxygenNote: 7.1.0
Date: 2020-05-12
NeedsCompilation: yes
Packaged: 2020-06-05 10:08:09 UTC; diegopedregal
Repository: CRAN
Date/Publication: 2020-06-09 13:50:10 UTC

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New package transformmos with initial version 0.1.0
Package: transformmos
Type: Package
Title: Transform MOS Values to be Robust for using Rank Based Statistics
Version: 0.1.0
Authors@R: person("Babak", "Naderi", role = c("cre","aut","cph"), email = "bnaderi9@gmail.com")
Author: Babak Naderi [cre, aut, cph]
Maintainer: Babak Naderi <bnaderi9@gmail.com>
License: MIT + file LICENSE
Description: Implementation of the transformation of the Mean Opinion Scores (MOS) to be used before applying the rank based statistical techniques. The method and its necessity is described in: Babak Naderi, Sebastian Möller (2020) <arXiv:2004.11490>.
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: utils
NeedsCompilation: no
Packaged: 2020-06-05 12:44:36 UTC; Babak
Repository: CRAN
Date/Publication: 2020-06-09 14:00:02 UTC

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New package spectrolab with initial version 0.0.9
Package: spectrolab
Type: Package
Title: Class and Methods for Hyperspectral Data
Version: 0.0.9
Date: 2020-06-05
Authors@R: c(person("Jose Eduardo", "Meireles",email = "jemeireles@gmail.com", role = c("aut", "cre")), person("Anna K.", "Schweiger", email = "anna.k.schweiger@gmail.com", role = "aut"), person("Jeannine", "Cavender-Bares", email = "cavender@umn.edu", role = "aut") )
Description: Input/Output, processing and visualization of spectra taken with different spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class 'spectra' that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
License: GPL-3
URL: https://CRAN.R-project.org/package=spectrolab
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.4), stats
Suggests: knitr (>= 1.16), rmarkdown (>= 1.5), testthat (>= 1.0.2)
VignetteBuilder: knitr
Imports: prospectr, grDevices, parallel, RColorBrewer, shiny, shinyjs, devtools, usethis
NeedsCompilation: no
Packaged: 2020-06-08 00:38:36 UTC; meireles
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <jemeireles@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-09 13:20:03 UTC

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Package rgdal updated to version 1.5-10 with previous version 1.5-8 dated 2020-05-28

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgdal versions 1.5-8 dated 2020-05-28 and 1.5-10 dated 2020-06-09

 ChangeLog                                     |   64 ++
 DESCRIPTION                                   |   27 
 MD5                                           |   45 -
 R/AAA.R                                       |    2 
 R/ogr_sp.R                                    |    9 
 build/vignette.rds                            |binary
 configure                                     |  471 ++++++---------
 configure.ac                                  |  273 +++++----
 inst/ChangeLog                                |   64 ++
 inst/SVN_VERSION                              |    2 
 inst/doc/CRS_projections_transformations.R    |   38 -
 inst/doc/CRS_projections_transformations.Rmd  |   69 +-
 inst/doc/CRS_projections_transformations.html |   36 -
 inst/doc/OGR_shape_encoding.pdf               |binary
 inst/doc/PROJ6_GDAL3.html                     |   14 
 man/CRS-class.Rd                              |    2 
 man/make_EPSG.Rd                              |    2 
 man/readOGR.Rd                                |    4 
 src/OGR_write.cpp                             |    6 
 src/inverser.c                                |    2 
 src/proj6.cpp                                 |only
 src/proj_info6.cpp                            |  776 +-------------------------
 src/projectit.cpp                             |   59 -
 vignettes/CRS_projections_transformations.Rmd |   69 +-
 24 files changed, 755 insertions(+), 1279 deletions(-)

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New package pluralize with initial version 0.2.0
Package: pluralize
Type: Package
Title: Pluralize and 'Singularize' Any (English) Word
Version: 0.2.0
Date: 2020-06-03
Authors@R: c( person( "Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-5670-2640") ), person( "Blake", "Embrey", email = "hello@blakeembrey.com", role = c("aut", "ctb"), comment = "pluralize.js <https://github.com/blakeembrey/pluralize>" ) )
Maintainer: Bob Rudis <bob@rud.is>
Description: Tools are provided to create plural, singular and regular forms of English words along with tools to augment the built-in rules to fit specialized needs. Core functionality is based on a JavaScript library, <https://github.com/blakeembrey/pluralize>.
URL: http://gitlab.com/hrbrmstr/pluralize
BugReports: https://gitlab.com/hrbrmstr/pluralize/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: tinytest, knitr, rmarkdown
Depends: R (>= 3.6.0)
Imports: V8
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-05 11:42:57 UTC; hrbrmstr
Author: Bob Rudis [aut, cre, cph] (<https://orcid.org/0000-0001-5670-2640>), Blake Embrey [aut, ctb] (pluralize.js <https://github.com/blakeembrey/pluralize>)
Repository: CRAN
Date/Publication: 2020-06-09 13:50:03 UTC

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Package opentripplanner updated to version 0.2.3.0 with previous version 0.2.2.0 dated 2020-06-06

Title: Setup and connect to 'OpenTripPlanner'
Description: Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
Author: Malcolm Morgan [aut, cre] (<https://orcid.org/0000-0002-9488-9183>), Marcus Young [aut] (<https://orcid.org/0000-0003-4627-1116>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [ctb] (<https://orcid.org/0000-0003-1912-4890>)
Maintainer: Malcolm Morgan <m.morgan1@leeds.ac.uk>

Diff between opentripplanner versions 0.2.2.0 dated 2020-06-06 and 0.2.3.0 dated 2020-06-09

 opentripplanner-0.2.2.0/opentripplanner/R/otp-isochrone.R               |only
 opentripplanner-0.2.2.0/opentripplanner/inst/doc/OTPv2.R                |only
 opentripplanner-0.2.2.0/opentripplanner/inst/doc/OTPv2.Rmd              |only
 opentripplanner-0.2.2.0/opentripplanner/inst/doc/OTPv2.html             |only
 opentripplanner-0.2.2.0/opentripplanner/vignettes/OTPv2.Rmd             |only
 opentripplanner-0.2.3.0/opentripplanner/DESCRIPTION                     |   10 
 opentripplanner-0.2.3.0/opentripplanner/MD5                             |   35 -
 opentripplanner-0.2.3.0/opentripplanner/NEWS.md                         |    6 
 opentripplanner-0.2.3.0/opentripplanner/R/otp-isochrone-batch.R         |   23 
 opentripplanner-0.2.3.0/opentripplanner/R/otp-plan.R                    |  267 +++++-----
 opentripplanner-0.2.3.0/opentripplanner/build/vignette.rds              |binary
 opentripplanner-0.2.3.0/opentripplanner/inst/doc/advanced_features.Rmd  |    2 
 opentripplanner-0.2.3.0/opentripplanner/inst/doc/advanced_features.html |   24 
 opentripplanner-0.2.3.0/opentripplanner/inst/doc/known_issues.html      |    4 
 opentripplanner-0.2.3.0/opentripplanner/inst/doc/opentripplanner.html   |   19 
 opentripplanner-0.2.3.0/opentripplanner/inst/doc/prerequisites.html     |    4 
 opentripplanner-0.2.3.0/opentripplanner/man/json_example_drive.Rd       |   34 -
 opentripplanner-0.2.3.0/opentripplanner/man/json_example_transit.Rd     |   34 -
 opentripplanner-0.2.3.0/opentripplanner/man/opentripplanner-package.Rd  |   80 +-
 opentripplanner-0.2.3.0/opentripplanner/man/otp_plan.Rd                 |  127 ++--
 opentripplanner-0.2.3.0/opentripplanner/vignettes/advanced_features.Rmd |    2 
 21 files changed, 364 insertions(+), 307 deletions(-)

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New package nhs.predict with initial version 1.2.0
Package: nhs.predict
Type: Package
Title: Breast Cancer Survival and Therapy Benefits
Version: 1.2.0
Author: Giovanni Tramonti
Maintainer: Giovanni Tramonti <giovanni.tramonti@ed.ac.uk>
Description: Calculate Overall Survival or Recurrence-Free Survival for breast cancer patients, using 'NHS Predict'. The time interval for the estimation can be set up to 15 years, with default at 10. Incremental therapy benefits are estimated for hormone therapy, chemotherapy, trastuzumab, and bisphosphonates. This work is not affiliated with the development of 'NHS Predict' and its underlying statistical model. Details on 'NHS Predict' can be found at: <doi:10.1186/bcr2464>. The web version of 'NHS Predict': <https://breast.predict.nhs.uk/>. A small dataset of 50 fictional patient observations is provided for the purpose of running examples.
License: GPL-2
Encoding: UTF-8
LazyData: True
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-05 10:37:47 UTC; notgi
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-06-09 13:50:07 UTC

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New package mashr with initial version 0.2.28
Package: mashr
Type: Package
Encoding: UTF-8
Title: Multivariate Adaptive Shrinkage
Version: 0.2.28
Date: 2020-06-04
Authors@R: c(person("Matthew","Stephens",role="aut"), person("Sarah","Urbut",role="aut"), person("Gao","Wang",role="aut"), person("Yuxin","Zou",role="aut"), person("Yunqi","Yang",role="ctb"), person("Sam","Roweis",role="cph"), person("David","Hogg",role="cph"), person("Jo","Bovy",role="cph"), person("Peter","Carbonetto",role=c("aut","cre"), email="peter.carbonetto@gmail.com"))
Description: Implements the multivariate adaptive shrinkage (mash) method of Urbut et al (2019) <DOI:10.1038/s41588-018-0268-8> for estimating and testing large numbers of effects in many conditions (or many outcomes). Mash takes an empirical Bayes approach to testing and effect estimation; it estimates patterns of similarity among conditions, then exploits these patterns to improve accuracy of the effect estimates. The core linear algebra is implemented in C++ for fast model fitting and posterior computation.
URL: http://github.com/stephenslab/mashr
BugReports: http://github.com/stephenslab/mashr/issues
License: BSD_3_clause + file LICENSE
Copyright: file COPYRIGHTS
LazyData: true
SystemRequirements: C++11
Depends: R (>= 3.3.0), ashr (>= 2.2-22)
Imports: assertthat, utils, stats, plyr, rmeta, Rcpp (>= 0.12.11), mvtnorm, abind, mixsqp
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
Suggests: MASS, REBayes, corrplot, testthat, kableExtra, knitr, rmarkdown, profmem
VignetteBuilder: knitr
NeedsCompilation: yes
Biarch: true
RoxygenNote: 7.1.0
Packaged: 2020-06-05 03:34:05 UTC; pcarbo
Author: Matthew Stephens [aut], Sarah Urbut [aut], Gao Wang [aut], Yuxin Zou [aut], Yunqi Yang [ctb], Sam Roweis [cph], David Hogg [cph], Jo Bovy [cph], Peter Carbonetto [aut, cre]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-09 13:30:03 UTC

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New package immcp with initial version 0.8.3
Package: immcp
Title: Candidate Prescriptions Discovery Based on Pathway Fingerprint
Version: 0.8.3
Authors@R: person(given = "Yuanlong", family = "Hu", role = c("aut", "cre"), email = "huyuanlong1996@163.com")
Description: The pathway fingerprint is a method to indicate the profile of significant pathways being influenced by drugs, which may hint drug functions. Through the similarity of pathway fingerprints, the potential relationship between disease and prescription can be found. Ye (2012) <doi: 10.1007/s13238-012-2011-z>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
biocViews:
Depends: R (>= 3.5.0)
Imports: igraph, proxyC, pbapply, Matrix, magrittr, stats, utils, clusterProfiler, GSEABase, methods, ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
BugReports: https://github.com/YuanlongHu/immcp/issues
URL: https://github.com/YuanlongHu/immcp
NeedsCompilation: no
Packaged: 2020-06-05 02:44:23 UTC; DELL
Author: Yuanlong Hu [aut, cre]
Maintainer: Yuanlong Hu <huyuanlong1996@163.com>
Repository: CRAN
Date/Publication: 2020-06-09 13:40:02 UTC

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New package BMTAR with initial version 0.1.0
Package: BMTAR
Type: Package
Date: 2020-05-28
Title: Bayesian Approach for MTAR Models with Missing Data
Version: 0.1.0
Author: Valeria Bejarano Salcedo <vbejaranos@unal.edu.co>, Sergio Alejandro Calderon Villanueva <sacalderonv@unal.edu.co> Andrey Duvan Rincon Torres <adrincont@unal.edu.co>
Maintainer: Andrey Duvan Rincon Torres <adrincont@unal.edu.co>
Depends: R (>= 3.6.0)
Description: Implements parameter estimation using a Bayesian approach for Multivariate Threshold Autoregressive (MTAR) models with missing data using Markov Chain Monte Carlo methods. Performs the simulation of MTAR processes (mtarsim()), estimation of matrix parameters and the threshold values (mtarns()), identification of the autoregressive orders using Bayesian variable selection (mtarstr()), identification of the number of regimes using Metropolised Carlin and Chib (mtarnumreg()) and estimate missing data, coefficients and covariance matrices conditional on the autoregressive orders, the threshold values and the number of regimes (mtarmissing()). Calderon and Nieto (2017) <doi:10.1080/03610926.2014.990758>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Brobdingnag,MASS,MCMCpack,expm,ks,mvtnorm,compiler,doParallel,parallel,ggplot2
LazyData: true
NeedsCompilation: no
Packaged: 2020-06-05 12:17:41 UTC; User
Repository: CRAN
Date/Publication: 2020-06-09 14:00:11 UTC

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New package triplot with initial version 1.2.0
Package: triplot
Title: Explaining Correlated Features in Machine Learning Models
Version: 1.2.0
Authors@R: c(person("Katarzyna", "Pekala", email = "katarzyna.pekala@gmail.com", role = c("aut", "cre")), person("Przemyslaw", "Biecek", role = c("aut"), comment = c(ORCID = "0000-0001-8423-1823")))
Description: Tools for exploring effects of correlated features in predictive models. The predict_triplot() function delivers instance-level explanations that calculate the importance of the groups of explanatory variables. The model_triplot() function delivers data-level explanations. The generic plot function visualises in a concise way importance of hierarchical groups of predictors. All of the the tools are model agnostic, therefore works for any predictive machine learning models. Find more details in Biecek (2018) <arXiv:1806.08915>.
Depends: R (>= 3.6)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: ggplot2, DALEX (>= 1.2), glmnet, ggdendro, patchwork
Suggests: testthat, knitr, randomForest, mlbench, ranger, gbm, covr
URL: https://github.com/ModelOriented/triplot
BugReports: https://github.com/ModelOriented/triplot/issues
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-05 15:18:42 UTC; Katarzyna
Author: Katarzyna Pekala [aut, cre], Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Katarzyna Pekala <katarzyna.pekala@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-09 12:40:03 UTC

More information about triplot at CRAN
Permanent link

Package HiveR updated to version 0.3.63 with previous version 0.3.56 dated 2020-05-07

Title: 2D and 3D Hive Plots for R
Description: Creates and plots 2D and 3D hive plots. Hive plots are a unique method of displaying networks of many types in which node properties are mapped to axes using meaningful properties rather than being arbitrarily positioned. The hive plot concept was invented by Martin Krzywinski at the Genome Science Center (www.hiveplot.net/). Keywords: networks, food webs, linnet, systems biology, bioinformatics.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>), Vesna Memisevic [ctb], Jonathan Chung [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between HiveR versions 0.3.56 dated 2020-05-07 and 0.3.63 dated 2020-06-09

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Permanent link

New package HPLB with initial version 1.0.0
Package: HPLB
Type: Package
Title: High-Probability Lower Bounds for the Total Variance Distance
Version: 1.0.0
Author: Loris Michel, Jeffrey Naef
Maintainer: Loris Michel <michel@stat.math.ethz.ch>
Description: An implementation of high-probability lower bounds for the total variance distance as introduced in Michel & Naef & Meinshausen (2020) <arXiv:2005.06006>. An estimated lower-bound (with high-probability) on the total variation distance between two probability distributions from which samples are observed can be obtained with the function HPLB.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: data.table, stats, graphics
Suggests: testthat, fields, ranger, distrEx
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-06-05 13:03:40 UTC; michello
Repository: CRAN
Date/Publication: 2020-06-09 12:50:02 UTC

More information about HPLB at CRAN
Permanent link

Package GeoTcgaData updated to version 0.2.4 with previous version 0.2.3 dated 2020-02-22

Title: Processing various types of data on GEO and TCGA
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.
Author: Erqiang Hu [aut, cre]
Maintainer: Erqiang Hu <13766876214@163.com>

Diff between GeoTcgaData versions 0.2.3 dated 2020-02-22 and 0.2.4 dated 2020-06-09

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Permanent link

Package DTSg updated to version 0.5.0 with previous version 0.4.1 dated 2020-05-08

Title: A Class for Working with Time Series Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and - in combination with the 'R6' package - offers reference semantics. In addition to its native R6 interface, it provides an S3 interface inclusive an S3 wrapper method generator for those who prefer the latter.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp@iwag.tuwien.ac.at>

Diff between DTSg versions 0.4.1 dated 2020-05-08 and 0.5.0 dated 2020-06-09

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 vignettes/a_basicUsage.Rmd          |   23 
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 30 files changed, 1960 insertions(+), 1485 deletions(-)

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New package distributional with initial version 0.1.0
Package: distributional
Title: Vectorised Probability Distributions
Version: 0.1.0
Authors@R: c(person(given = "Mitchell", family = "O'Hara-Wild", role = c("aut", "cre"), email = "mail@mitchelloharawild.com", comment = c(ORCID = "0000-0001-6729-7695")), person(given = "Earo", family = "Wang", role = c("ctb"), comment = c(ORCID = "0000-0001-6448-5260")))
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
License: GPL-3
Imports: vctrs (>= 0.3.0), rlang (>= 0.4.5), generics, ellipsis, stats, numDeriv, ggplot2, scales, farver, digest, utils, lifecycle
Suggests: testthat (>= 2.1.0), covr, mvtnorm, actuar
RdMacros: lifecycle
URL: https://pkg.mitchelloharawild.com/distributional/, https://github.com/mitchelloharawild/distributional
BugReports: https://github.com/mitchelloharawild/distributional/issues
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-03 23:13:11 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] (<https://orcid.org/0000-0001-6729-7695>), Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2020-06-09 12:40:06 UTC

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New package Distributacalcul with initial version 0.2.0
Package: Distributacalcul
Type: Package
Title: Probability Distribution Functions
Version: 0.2.0
Authors@R: c( person("Alec James", "van Rassel", email = "alec.van-rassel.1@ulaval.ca", role = c("aut", "cre", "cph")), person("Gabriel", "Crépeault-Cauchon", role = c("aut", "ccp")), person("Étienne", "Marceau", role = c("tch", "sad")), person("Hélène", "Cossette", role = c("tch", "sad")), person("Laboratoire Act & Risk", role = c("fnd", "sht")), person("École d'actuariat de l'Université Laval", role = c("fnd", "his", "uvp")), person("Natural Sciences and Engineering Research Council of Canada", role = c("fnd")), person("Marc-André", "Devost", role = c("ccp")) )
Description: Calculates expected values, variance, different moments (kth moment, truncated mean), stop-loss, mean excess loss, Value-at-Risk (VaR) and Tail Value-at-Risk (TVaR) as well as some density and cumulative (survival) functions of continuous, discrete and compound distributions. This package also includes a visual 'Shiny' component to enable students to visualize distributions and understand the impact of their parameters. This package is intended to expand the 'stats' and 'actuar' packages so as to enable students to develop an intuition for probability.
License: MIT + file LICENSE
URL: https://github.com/alec42/Distributacalcul_Package
BugReports: https://github.com/alec42/Distributacalcul_Package/issues
Encoding: UTF-8
LazyData: true
Imports: actuar, stats, shiny, dplyr, ggplot2, plotly, tippy, shinyWidgets, shinydashboardPlus, shinydashboard, rlang
RoxygenNote: 7.0.2
Suggests: learnr, knitr, rmarkdown, spelling
Language: en-CA
NeedsCompilation: no
Packaged: 2020-06-05 14:07:21 UTC; Alec
Author: Alec James van Rassel [aut, cre, cph], Gabriel Crépeault-Cauchon [aut, ccp], Étienne Marceau [tch, sad], Hélène Cossette [tch, sad], Laboratoire Act & Risk [fnd, sht], École d'actuariat de l'Université Laval [fnd, his, uvp], Natural Sciences and Engineering Research Council of Canada [fnd], Marc-André Devost [ccp]
Maintainer: Alec James van Rassel <alec.van-rassel.1@ulaval.ca>
Repository: CRAN
Date/Publication: 2020-06-09 13:00:08 UTC

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Package biganalytics updated to version 1.1.21 with previous version 1.1.20 dated 2020-06-02

Title: Utilities for 'big.matrix' Objects from Package 'bigmemory'
Description: Extend the 'bigmemory' package with various analytics. Functions 'bigkmeans' and 'binit' may also be used with native R objects. For 'tapply'-like functions, the bigtabulate package may also be helpful. For linear algebra support, see 'bigalgebra'. For mutex (locking) support for advanced shared-memory usage, see 'synchronicity'.
Author: John W. Emerson [cre, aut], Michael J. Kane [aut], Saksham Chandra [ctb]
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between biganalytics versions 1.1.20 dated 2020-06-02 and 1.1.21 dated 2020-06-09

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New package batata with initial version 0.1.0
Package: batata
Type: Package
Title: Managing Packages Removal
Version: 0.1.0
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: Allows the user to manage easily R packages removal. It offers many functions to display installed packages according to specific dates and removes them if needed. The user is always prompted when running the removal functions in order to confirm the required action. It offers also a function that removes all the installed packages in case one wants to switch from one R version to another and start fresh.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: fs, utils, glue
RoxygenNote: 7.1.0
URL: https://github.com/feddelegrand7/batata
BugReports: https://github.com/feddelegrand7/batata/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-04 14:32:02 UTC; THINKPAD L390
Repository: CRAN
Date/Publication: 2020-06-09 12:40:08 UTC

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Package AHMbook updated to version 0.2.0 with previous version 0.1.4 dated 2017-05-19

Title: Functions and Data for the Book "Applied Hierarchical Modeling in Ecology" Vols 1 and 2
Description: Provides functions and data sets to accompany the two volume publication "Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS" by Marc Kéry and Andy Royle: volume 1 (2016, ISBN: 978-0-12-801378-6) and volume 2 (2020, ISBN: 978-0-12-809585-0), <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook>.
Author: Marc Kéry [aut], Andy Royle [aut], Mike Meredith [aut, cre], Urs Breitenmoser [dtc] (EurasianLynx), Richard Chandler [ctb], Bob Dorazio [ctb], Evan Grant [dtc] (duskySalamanders), Jon-Andren Henden [dtc] (Finnmark), Roland Kays [dtc] (MesoCarnivores), David King [dtc] (cswa), Xavier Lambin [dtc] (waterVoles), Jeremy Mizel [ctb, dtc] (treeSparrow), Anja Molinari-Jobin [dtc] (EurasianLynx), Réne-Jean Monneret [dtc] (FrenchPeregrines), Arielle Parsons [dtc] (MesoCarnivores), René Ruffinoni [dtc] (FrenchPeregrines), Michael Schaub [ctb], Rahel Solmann [ctb], Nicolas Strebel [dtc], Chris Sutherland [ctb, dtc] (waterVoles), Mathias Tobler [ctb], Fridolin Zimmermann [dtc] (EurasianLynx), Aargau Biodiversity Monitoring Program (LANAG) [dtc], British Ornithological Trust [dtc] (willowWarbler, UKmarbledWhite, <https://www.bto.org/>), Butterfly Conservation [dtc, cph] (UKmarbledWhite, <https://butterfly-conservation.org>), Centre for Ecology & Hydrology [dtc, cph] (UKmarbledWhite, <https://www.ceh.ac.uk>), Dutch Centre for Field Ornithology (Sovon) [dtc] (wagtail, <https://www.sovon.nl>), eMammal [dtc] (MesoCarnivores, <https://emammal.si.edu/>), Groupe Pèlerin Jura [dtc] (FrenchPeregrines), Hubbard Brook Ecosystem Study [dtc] (HubbardBrook, <http://data.hubbardbrook.org/data/dataset.php?id=178>), Joint Nature Conservation Committee (JNCC) [dtc, cph] (UKmarbledWhite, <https://jncc.gov.uk/>), North Carolina Museum of Natural Sciences [dtc] (mesoCarnivores), North Carolina State University [dtc] (mesoCarnivores), Progetto Lince Italia [dtc] (EurasianLynx, <https://www.progettolinceitalia.it>), Swiss Federal Statistical Office [dtc, cph] (BerneseOberland, <http://www.bfs.admin.ch>), Swiss Foundation KORA Carnivore Ecology and Wildlife Management (SCALP project) [dtc] (EurasianLynx, <https://www.kora.ch>), Swiss Ornithological Institute [dtc] (<https://www.vogelwarte.ch>), Centre for Ecology & Hydrology [dtc, cph] (UKmarbledWhite, <https://www.ceh.ac.uk>), UK Butterfly Monitoring Scheme (UKBMS) [dtc, cph] (UKmarbledWhite, <https://www.ceh.ac.uk/our-science/projects/uk-butterfly-monitoring-scheme>)
Maintainer: Mike Meredith <mike@mmeredith.net>

Diff between AHMbook versions 0.1.4 dated 2017-05-19 and 0.2.0 dated 2020-06-09

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Package tcR updated to version 2.3.2 with previous version 2.2.4.1 dated 2020-03-22

Title: Advanced Data Analysis of Immune Receptor Repertoires
Description: Platform for the advanced analysis of T cell receptor and Immunoglobulin repertoires data and visualisation of the analysis results. Publication: Nazarov et al. (2015) <doi:10.1186/s12859-015-0613-1>.
Author: Vadim Nazarov
Maintainer: Vadim Nazarov <vdm.nazarov@gmail.com>

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Package santoku updated to version 0.4.0 with previous version 0.3.0 dated 2020-01-24

Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals. Always includes the whole range of data by default. Flexible labelling. Convenience functions for cutting by quantiles etc. Handles dates and times.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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New package neo4jshell with initial version 0.1.0
Package: neo4jshell
Type: Package
Title: Querying and Managing 'Neo4J' Databases in 'R'
Version: 0.1.0
Authors@R: person("Keith", "McNulty", email = "keith.mcnulty@gmail.com", role = c("aut", "cre", "cph"))
Description: Sends queries to a specified 'Neo4J' graph database, capturing results in a dataframe where appropriate. Other useful functions for the importing and management of data on the 'Neo4J' server and basic local server admin.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, ssh, sys, fs, R.utils
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
SystemRequirements: neo4j - http://www.neo4j.com, cypher-shell - https://github.com/neo4j/cypher-shell/releases
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-04 20:19:45 UTC; keithmcnulty
Author: Keith McNulty [aut, cre, cph]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-09 11:20:03 UTC

More information about neo4jshell at CRAN
Permanent link

Package HaDeX updated to version 1.2.1 with previous version 1.1 dated 2020-02-06

Title: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Description: Functions for processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS). 'HaDeX' introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including novel uncertainty intervals. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the in-built 'Shiny' app.
Author: Weronika Puchala [cre, aut] (<https://orcid.org/0000-0003-2163-1429>), Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>), Dominik Rafacz [ctb]
Maintainer: Weronika Puchala <puchala.weronika@gmail.com>

Diff between HaDeX versions 1.1 dated 2020-02-06 and 1.2.1 dated 2020-06-09

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New package dvqcc with initial version 0.1.0
Package: dvqcc
Type: Package
Title: Dynamic VAR - Based Control Charts for Batch Process Monitoring
Version: 0.1.0
Authors@R: c(person("Márcio", "Valk", role = "aut"), person("Danilo", "Marcondes Filho", role = c("aut","cre"), email = "marcondes.filho@ufrgs.br"), person("Gabriela", "Cybis", role = "aut"))
Description: A set of control charts for batch processes based on the VAR model. The package contains the implementation of T2.var and W.var control charts based on VAR model coefficients using the couple vectors theory. In each time-instant the VAR coefficients are estimated from a historical in-control dataset and a decision rule is made for online classifying of a new batch data. Those charts allow efficient online monitoring since the very first time-instant. The offline version is available too. In order to evaluate the chart's performance, this package contains functions to generate batch data for offline and online monitoring.See in Danilo Marcondes Filho and Marcio Valk (2020) <doi:10.1016/j.ejor.2019.12.038>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: ggplot2, tsDyn
NeedsCompilation: no
Packaged: 2020-06-05 01:19:09 UTC; marco
Author: Márcio Valk [aut], Danilo Marcondes Filho [aut, cre], Gabriela Cybis [aut]
Maintainer: Danilo Marcondes Filho <marcondes.filho@ufrgs.br>
Repository: CRAN
Date/Publication: 2020-06-09 11:40:02 UTC

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New package sparrpowR with initial version 0.1.1
Package: sparrpowR
Title: Power Analysis to Detect Spatial Relative Clusters
Version: 0.1.1
Authors@R: c(person(given = "Ian D.", family = "Buller", role = c("aut", "cre", "cph"), email = "ian.buller@nih.gov"), person(given = "Derek W.", family = "Brown", role = c("aut", "cph"), email = "derek.brown@nih.gov"), person(given = "Mitchell J.", family = "Machiela", role = "ctb", email = "mitchell.machiela@nih.gov"), person(given = "Timothy A.", family = "Myers", role = "ctb", email = "myersta@mail.nih.gov"), person(given = "NCI", role = c("cph", "fnd")) )
Maintainer: Ian D. Buller <ian.buller@nih.gov>
Description: Calculate the statistical power to detect clusters using kernel-based spatial relative risk functions that are estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bethell (1990) <doi:10.1002/sim.4780090616>. For more information about relative risk functions using kernel-density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.5.0), spatstat
Imports: doParallel, fields, foreach, raster, sp, sparr
Suggests: broom, geojsonio, ggmap, maptools, osmdata, rgeos, tibble, tidyverse, rgdal, testthat, ggplot2, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-04 18:32:06 UTC; myersta
Author: Ian D. Buller [aut, cre, cph], Derek W. Brown [aut, cph], Mitchell J. Machiela [ctb], Timothy A. Myers [ctb], NCI [cph, fnd]
Repository: CRAN
Date/Publication: 2020-06-09 10:50:03 UTC

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New package plu with initial version 0.1.0
Type: Package
Package: plu
Title: Pluralize Phrases
Version: 0.1.0
Authors@R: c(person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com"), person(given = "Kevin", family = "Atkinson", role = "dtc", email = "kevina@gnu.org"))
Description: Converts English phrases to singular or plural form based on the length of an associated vector. Contains helper functions to create natural language lists from vectors and to include the length of a vector in natural language.
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/plu
BugReports: https://github.com/rossellhayes/plu/issues
Depends: R (>= 2.10)
Suggests: covr, nombre, testthat
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-04 17:58:26 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph], Kevin Atkinson [dtc]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-06-09 10:50:07 UTC

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New package esback with initial version 0.3.0
Package: esback
Type: Package
Title: Expected Shortfall Backtesting
Version: 0.3.0
Date: 2020-05-22
Authors@R: c(person('Sebastian', 'Bayer', email='sebastian.bayer@uni-konstanz.de', role=c('aut', 'cre')), person('Timo', 'Dimitriadis', email='timo.dimitriadis@h-its.org', role='aut'))
Description: Implementations of the expected shortfall backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> as well as other well known backtests from the literature. Can be used to assess the correctness of forecasts of the expected shortfall risk measure which is e.g. used in the banking and finance industry for quantifying the market risk of investments. A special feature of the backtests of Bayer and Dimitriadis (2020) <doi:10.1093/jjfinec/nbaa013> is that they only require forecasts of the expected shortfall, which is in striking contrast to all other existing backtests, making them particularly attractive for practitioners.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R(>= 2.10.0)
Imports: esreg
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-04 18:53:36 UTC; sebastian
Author: Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]
Maintainer: Sebastian Bayer <sebastian.bayer@uni-konstanz.de>
Repository: CRAN
Date/Publication: 2020-06-09 10:50:11 UTC

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New package NVCSSL with initial version 1.0
Package: NVCSSL
Type: Package
Title: Nonparametric Varying Coefficient Spike-and-Slab Lasso
Version: 1.0
Date: 2020-05-12
Author: Ray Bai
Maintainer: Ray Bai <raybaistat@gmail.com>
Description: EM algorithm for fitting Bayesian varying coefficient models with the nonparametric varying coefficient spike-and-slab lasso of Bai et al. (2020) <arXiv:1907.06477>. Also fits penalized frequentist varying coefficient models with the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty.
License: GPL-3
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, splines, plyr, grpreg, Matrix
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-06-04 16:06:19 UTC; rayba
Date/Publication: 2020-06-09 09:40:03 UTC

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Package meteoland updated to version 0.9.3 with previous version 0.9.2 dated 2020-03-31

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between meteoland versions 0.9.2 dated 2020-03-31 and 0.9.3 dated 2020-06-09

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New package ChangePointTaylor with initial version 0.1.0
Package: ChangePointTaylor
Type: Package
Title: Identify Changes in Mean
Version: 0.1.0
Date: 2020-05-27
Authors@R: person("Michael", "Marks", email = "michaelmarks@analyticaconsulting.com", role = c("aut", "cre"))
Maintainer: Michael Marks <michaelmarks@analyticaconsulting.com>
Description: A basic implementation of the change in mean detection method outlined in: Taylor, Wayne A. (2000) <https://variation.com/wp-content/uploads/change-point-analyzer/change-point-analysis-a-powerful-new-tool-for-detecting-changes.pdf>. The package recursively uses the mean-squared error change point calculation to identify candidate change points. The candidate change points are then re-estimated and Taylor's backwards elimination process is then employed to come up with a final set of change points. Many of the underlying functions are written in C++ for improved performance.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4), dplyr, purrr, tidyr, magrittr, bench, rlang, ggplot2
LinkingTo: Rcpp
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-06-04 17:04:46 UTC; 10287535
Author: Michael Marks [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-06-09 09:40:06 UTC

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New package BRDT with initial version 0.1.0
Package: BRDT
Type: Package
Title: Binomial Reliability Demonstration Tests
Version: 0.1.0
Authors@R: c(person("Suiyao", "Chen", role = c("aut", "cre"), email = "csycsy12377@gmail.com"))
Maintainer: Suiyao Chen <csycsy12377@gmail.com>
Description: This is an implementation of design methods for binomial reliability demonstration tests (BRDTs) with failure count data. The acceptance decision uncertainty of BRDT has been quantified and the impacts of the uncertainty on related reliability assurance activities such as reliability growth (RG) and warranty services (WS) are evaluated. This package is associated with the work from the published paper "Optimal Binomial Reliability Demonstration Tests Design under Acceptance Decision Uncertainty" by Suiyao Chen et al. (2020) <doi:10.1080/08982112.2020.1757703>.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: stats
Suggests: tidyverse, knitr, rmarkdown
URL: https://github.com/ericchen12377/BRDT
BugReports: https://github.com/ericchen12377/BRDT/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-04 16:54:23 UTC; chens
Author: Suiyao Chen [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-09 09:40:09 UTC

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Package TreeSearch updated to version 0.4.1 with previous version 0.4.0 dated 2020-02-06

Title: Phylogenetic Tree Search Using Custom Optimality Criteria
Description: Searches for phylogenetic trees that are optimal using a user-defined criterion. Handles inapplicable data using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083>. Implements Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, and Successive Approximations (Farris, 1969) <doi:10.2307/2412182>.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Martin Brazeau [cph] (<https://orcid.org/0000-0002-0650-1282>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeSearch versions 0.4.0 dated 2020-02-06 and 0.4.1 dated 2020-06-09

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 vignettes/inapplicable.Rmd              |    6 -
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 82 files changed, 1741 insertions(+), 1380 deletions(-)

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Package systemfonts updated to version 0.2.3 with previous version 0.2.2 dated 2020-05-14

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Devon Govett [aut] (Author of font-manager), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between systemfonts versions 0.2.2 dated 2020-05-14 and 0.2.3 dated 2020-06-09

 DESCRIPTION               |    6 -
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 NEWS.md                   |    5 
 build/vignette.rds        |binary
 inst/doc/c_interface.html |   26 +++-
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Package TSdist (with last version 3.6) was removed from CRAN

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

2019-07-18 3.6
2019-03-14 3.5
2017-04-28 3.4
2016-05-14 3.3
2016-02-12 3.2
2015-07-14 3.1
2015-04-14 2.2
2015-03-31 2.1
2014-07-15 1.2
2014-05-28 1.1
2014-05-13 1.0

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Package TSclust (with last version 1.2.4) was removed from CRAN

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

2017-10-16 1.2.4
2014-11-18 1.2.3
2014-10-28 1.2.2
2014-04-30 1.2.1
2014-02-05 1.2
2013-07-16 1.1
2013-05-28 1.0

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

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

2020-05-28 1.0.2
2018-11-09 1.0.1-2
2017-09-19 1.0.1
2017-07-29 1.0.0

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Package WaveLetLongMemory (with last version 0.1.2) was removed from CRAN

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

2017-10-23 0.1.2
2017-05-11 0.1.1
2016-12-12 0.1.0

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Package wbsts (with last version 2.0) was removed from CRAN

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

2018-02-21 2.0

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Package PupillometryR (with last version 0.0.2) was removed from CRAN

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

2020-05-15 0.0.2
2020-02-02 0.0.1

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Package BootWPTOS (with last version 1.2) was removed from CRAN

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

2016-06-30 1.2

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Package BBEST (with last version 0.1-6) was removed from CRAN

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

2016-03-09 0.1-6
2015-09-15 0.1-5
2015-04-06 0.1-4
2015-03-09 0.1-3
2015-02-06 0.1-2
2014-12-05 0.1-1
2014-08-15 0.1-0

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Package vader updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-11

Title: Valence Aware Dictionary and sEntiment Reasoner (VADER)
Description: A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. Hutto & Gilbert (2014) <https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122>.
Author: Katherine Roehrick [aut, cre]
Maintainer: Katherine Roehrick <kr.gitcode@gmail.com>

Diff between vader versions 0.1.0 dated 2020-05-11 and 0.1.1 dated 2020-06-09

 DESCRIPTION              |    6 +++---
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 NEWS.md                  |    3 +++
 R/vader_sentiment_word.R |   41 ++++++++++++++++++++++-------------------
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Package taxize updated to version 0.9.97 with previous version 0.9.96 dated 2020-05-19

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb], Maëlle Salmon [ctb], Gaopeng Li [ctb], Matthias Grenié [ctb], rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between taxize versions 0.9.96 dated 2020-05-19 and 0.9.97 dated 2020-06-09

 DESCRIPTION                                                          |    8 
 MD5                                                                  |  300 +-
 NAMESPACE                                                            |    1 
 NEWS.md                                                              |   18 
 R/apg_lookup.R                                                       |   60 
 R/bold_search.R                                                      |   34 
 R/children.R                                                         |   67 
 R/classification.R                                                   |   62 
 R/comm2sci.R                                                         |   52 
 R/downstream.R                                                       |   59 
 R/eol_search.R                                                       |   16 
 R/gbif_downstream.R                                                  |   32 
 R/get_boldid.R                                                       |   69 
 R/get_eolid.R                                                        |   64 
 R/get_gbifid.R                                                       |   74 
 R/get_ids.R                                                          |   71 
 R/get_iucn.R                                                         |   43 
 R/get_natservid.R                                                    |   55 
 R/get_nbnid.R                                                        |   65 
 R/get_pow.R                                                          |   55 
 R/get_tolid.R                                                        |   58 
 R/get_tpsid.R                                                        |   60 
 R/get_tsn.R                                                          |   57 
 R/get_uid.R                                                          |   85 
 R/get_wiki.R                                                         |   51 
 R/get_wormsid.R                                                      |   54 
 R/gni_search.R                                                       |   49 
 R/gnr_resolve.R                                                      |   41 
 R/id2name.R                                                          |   49 
 R/iplant_resolve.R                                                   |   13 
 R/itis_downstream.R                                                  |   31 
 R/iucn_getname.R                                                     |    2 
 R/lowest_common.R                                                    |   52 
 R/names_list.r                                                       |   18 
 R/nbn_search.R                                                       |   16 
 R/pow_search.R                                                       |   22 
 R/resolve.R                                                          |   29 
 R/sci2comm.R                                                         |   23 
 R/synonyms.R                                                         |   33 
 R/tax_name.R                                                         |   27 
 R/tax_rank.R                                                         |   61 
 R/taxize-package.R                                                   |   41 
 R/taxize-params.R                                                    |only
 R/tnrs.R                                                             |   33 
 R/tp_search.R                                                        |   57 
 R/upstream.R                                                         |   26 
 R/zzz.R                                                              |   22 
 README.md                                                            |   23 
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 inst/doc/name_cleaning.html                                          |   50 
 inst/doc/taxize.Rmd                                                  |   55 
 inst/doc/taxize.html                                                 |   77 
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 inst/ignore/rank_ref_script.R                                        |   40 
 man/apg_families.Rd                                                  |   21 
 man/apg_lookup.Rd                                                    |   26 
 man/apg_orders.Rd                                                    |   19 
 man/bold_search.Rd                                                   |   25 
 man/children.Rd                                                      |   18 
 man/classification.Rd                                                |    9 
 man/comm2sci.Rd                                                      |   38 
 man/downstream.Rd                                                    |   26 
 man/eol_search.Rd                                                    |   13 
 man/gbif_downstream.Rd                                               |   25 
 man/get_boldid.Rd                                                    |   24 
 man/get_eolid.Rd                                                     |   15 
 man/get_gbifid.Rd                                                    |   29 
 man/get_ids.Rd                                                       |   38 
 man/get_iucn.Rd                                                      |   13 
 man/get_natservid.Rd                                                 |   10 
 man/get_nbnid.Rd                                                     |   24 
 man/get_pow.Rd                                                       |   16 
 man/get_tolid.Rd                                                     |   14 
 man/get_tpsid.Rd                                                     |   15 
 man/get_tsn.Rd                                                       |   12 
 man/get_uid.Rd                                                       |   35 
 man/get_wiki.Rd                                                      |   16 
 man/get_wormsid.Rd                                                   |   12 
 man/gni_search.Rd                                                    |   47 
 man/gnr_resolve.Rd                                                   |   23 
 man/id2name.Rd                                                       |   20 
 man/iplant_resolve.Rd                                                |    8 
 man/itis_downstream.Rd                                               |   24 
 man/lowest_common.Rd                                                 |   22 
 man/names_list.Rd                                                    |   12 
 man/nbn_search.Rd                                                    |   13 
 man/pow_search.Rd                                                    |   16 
 man/resolve.Rd                                                       |   20 
 man/sci2comm.Rd                                                      |   16 
 man/synonyms.Rd                                                      |    8 
 man/tax_name.Rd                                                      |   30 
 man/tax_rank.Rd                                                      |   10 
 man/taxize-params.Rd                                                 |only
 man/tnrs.Rd                                                          |   19 
 man/tp_search.Rd                                                     |   38 
 man/upstream.Rd                                                      |   12 
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 tests/testthat/Rplots.pdf                                            |binary
 tests/testthat/test-bold_search.R                                    |   10 
 tests/testthat/test-children.R                                       |    2 
 tests/testthat/test-classification-pow.R                             |    2 
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 tests/testthat/test-comm2sci.R                                       |   30 
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 tests/testthat/test-eol_dataobjects.R                                |    2 
 tests/testthat/test-eol_pages.R                                      |    4 
 tests/testthat/test-eol_ping.R                                       |    1 
 tests/testthat/test-eol_search.R                                     |    2 
 tests/testthat/test-gbif_downstream.R                                |    6 
 tests/testthat/test-get_boldid.R                                     |    6 
 tests/testthat/test-get_eolid.R                                      |   10 
 tests/testthat/test-get_gbifid.R                                     |    8 
 tests/testthat/test-get_ids.R                                        |    7 
 tests/testthat/test-get_natservid.R                                  |    2 
 tests/testthat/test-get_pow.R                                        |    2 
 tests/testthat/test-get_tolid.R                                      |    2 
 tests/testthat/test-get_tpsid.R                                      |    8 
 tests/testthat/test-get_tsn.R                                        |    6 
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Package sindyr updated to version 0.2.3 with previous version 0.2.2 dated 2019-08-07

Title: Sparse Identification of Nonlinear Dynamics
Description: This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>) sparse identification algorithm for finding ordinary differential equations for a measured system from raw data (SINDy). The package includes a set of additional tools for working with raw data, with an emphasis on cognitive science applications (Dale and Bhat, in press <doi:10.1016/j.cogsys.2018.06.020>).
Author: Rick Dale and Harish S. Bhat
Maintainer: Rick Dale <racdale@gmail.com>

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Package simplevis updated to version 1.2.0 with previous version 1.1.4 dated 2020-06-02

Title: Simple Visualisation with 'ggplot2' and 'leaflet' Wrappers
Description: Provides 'ggplot2' and 'leaflet' wrapper functions designed to simplify the creation of high quality graph and map visualisations. These functions only require inputs of data, variables and titles to provide beautiful interactive or image visualisations. However they allow for more flexibility if required. The intent is that high quality well-designed graphs and maps can be made more consistently with less effort, code and expertise than would otherwise be required.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package rmutil updated to version 1.1.5 with previous version 1.1.4 dated 2020-04-25

Title: Utilities for Nonlinear Regression and Repeated Measurements Models
Description: A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at <http://www.commanster.eu/rcode.html>).
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version)
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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Package HAC updated to version 1.0-7 with previous version 1.0-6 dated 2019-12-15

Title: Estimation, Simulation and Visualization of Hierarchical Archimedean Copulae (HAC)
Description: Package provides the estimation of the structure and the parameters, sampling methods and structural plots of Hierarchical Archimedean Copulae (HAC).
Author: Ostap Okhrin <ostap.okhrin@tu-dresden.de> and Alexander Ristig <alexander.ristig@univie.ac.at>
Maintainer: Alexander Ristig <alexander.ristig@univie.ac.at>

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Package cmprsk updated to version 2.2-10 with previous version 2.2-9 dated 2019-10-09

Title: Subdistribution Analysis of Competing Risks
Description: Estimation, testing and regression modeling of subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample tests for comparing the cumulative incidence of a competing risk, Ann. Stat. 16:1141-1154 <DOI:10.1214/aos/1176350951>, and Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk, JASA, 94:496-509, <DOI:10.1080/01621459.1999.10474144>.
Author: Bob Gray <gray@jimmy.harvard.edu>
Maintainer: Bob Gray <gray@jimmy.harvard.edu>

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Package ifultools (with last version 2.0-5.1) was removed from CRAN

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

2020-05-26 2.0-5.1
2019-03-04 2.0-5
2016-05-20 2.0-4
2014-08-28 2.0-1
2013-12-30 2.0-0
2012-12-23 1.1-3
2011-12-13 1.1-2
2011-10-17 1.1-1
2010-04-19 1.0-7
2008-05-02 1.0-6
2008-03-06 1.0-5
2007-11-27 1.0-3
2007-10-10 1.0-2
2007-09-23 1.0-1
2007-09-06 1.0

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Package wmtsa (with last version 2.0-3) was removed from CRAN

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

2017-12-06 2.0-3
2016-06-13 2.0-2
2016-05-20 2.0-1
2013-12-30 2.0-0
2011-10-17 1.1-1
2010-04-19 1.0-5
2008-02-20 1.0-4
2007-11-27 1.0-3
2007-10-11 1.0-2
2007-09-23 1.0-1
2007-09-06 1.0

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Package fractal (with last version 2.0-4) was removed from CRAN

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

2017-12-21 2.0-4
2016-05-20 2.0-1
2014-01-03 2.0-0

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

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

2020-05-11 0.2.6
2016-03-30 0.2.4
2015-04-29 0.2.2
2015-02-20 0.2.0
2014-03-02 0.1
2012-12-12 0.0.9
2012-12-11 0.0.8.1
2012-05-21 0.0.1

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Package sapa (with last version 2.0-2) was removed from CRAN

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

2016-05-20 2.0-2
2015-02-15 2.0-1
2013-12-30 2.0-0
2011-10-17 1.1-0
2010-04-19 1.0-3
2007-11-27 1.0-2
2007-10-10 1.0-1
2007-09-06 1.0

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Package correlationfunnel updated to version 0.2.0 with previous version 0.1.0 dated 2019-08-06

Title: Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel
Description: Speeds up exploratory data analysis (EDA) by providing a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response). Uses binary correlation analysis to determine relationship. Default correlation method is the Pearson method. Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014) <doi:10.1145/2637484>.
Author: Matt Dancho [aut, cre]
Maintainer: Matt Dancho <mdancho@business-science.io>

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