Wed, 29 Apr 2020

Package circumplex updated to version 0.3.6 with previous version 0.3.5 dated 2020-01-09

Title: Analysis and Visualization of Circular Data
Description: Tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results. Future versions will include tools for circular fit and reliability analyses, as well as visualization enhancements.
Author: Jeffrey Girard [aut, cre] (<https://orcid.org/0000-0002-7359-3746>), Johannes Zimmermann [aut] (<https://orcid.org/0000-0001-6975-2356>), Aidan Wright [aut] (<https://orcid.org/0000-0002-2369-0601>)
Maintainer: Jeffrey Girard <me@jmgirard.com>

Diff between circumplex versions 0.3.5 dated 2020-01-09 and 0.3.6 dated 2020-04-29

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Package tsbox updated to version 0.2.1 with previous version 0.2.0 dated 2019-08-06

Title: Class-Agnostic Time Series
Description: Time series toolkit with identical behavior for all time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo', 'timeSeries', 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.
Author: Christoph Sax [aut, cre] (<https://orcid.org/0000-0002-7192-7044>)
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between tsbox versions 0.2.0 dated 2019-08-06 and 0.2.1 dated 2020-04-29

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Package taxa updated to version 0.3.4 with previous version 0.3.3 dated 2020-02-25

Title: Taxonomic Classes
Description: Provides taxonomic classes for groupings of taxonomic names without data, and those with data. Methods provided are "taxonomically aware", in that they know about ordering of ranks, and methods that filter based on taxonomy also filter associated data. This package is described in the publication: "Taxa: An R package implementing data standards and methods for taxonomic data", Zachary S.L. Foster, Scott Chamberlain, Niklaus J. Grünwald (2018) <doi:10.12688/f1000research.14013.2>.
Author: Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Zachary Foster [aut, cre] (<https://orcid.org/0000-0002-5075-0948>)
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

Diff between taxa versions 0.3.3 dated 2020-02-25 and 0.3.4 dated 2020-04-29

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Package metacoder updated to version 0.3.4 with previous version 0.3.3 dated 2019-07-18

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: A set of tools for parsing, manipulating, and graphing data classified by a hierarchy (e.g. a taxonomy).
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Rob Gilmore [ctb]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

Diff between metacoder versions 0.3.3 dated 2019-07-18 and 0.3.4 dated 2020-04-29

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Package ggetho updated to version 0.3.6 with previous version 0.3.5 dated 2020-04-05

Title: Visualisation of High-Throughput Behavioural (i.e. Ethomics) Data
Description: Extension of 'ggplot2' providing layers, scales and preprocessing functions useful to represent behavioural variables that are recorded over multiple animals and days. This package is part of the 'rethomics' framework <http://rethomics.github.io/>.
Author: Quentin Geissmann [aut, cre]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>

Diff between ggetho versions 0.3.5 dated 2020-04-05 and 0.3.6 dated 2020-04-29

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Package semTable updated to version 1.8 with previous version 1.7 dated 2020-04-12

Title: Structural Equation Modeling Tables
Description: For confirmatory factor analysis ('CFA') and structural equation models ('SEM') estimated with the 'lavaan' package, this package provides functions to create model summary tables and model comparison tables for hypothesis testing. Tables can be produced in 'LaTeX', 'HTML', or comma separated variables ('CSV').
Author: Paul Johnson [aut, cre], Benjamin Kite [aut]
Maintainer: Paul Johnson <pauljohn@ku.edu>

Diff between semTable versions 1.7 dated 2020-04-12 and 1.8 dated 2020-04-29

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Package sdm updated to version 1.0-89 with previous version 1.0-82 dated 2020-02-03

Title: Species Distribution Modelling
Description: An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.
Author: Babak Naimi, Miguel B. Araujo
Maintainer: Babak Naimi <naimi.b@gmail.com>

Diff between sdm versions 1.0-82 dated 2020-02-03 and 1.0-89 dated 2020-04-29

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Package kutils updated to version 1.70 with previous version 1.69 dated 2019-05-12

Title: Project Management Tools
Description: Tools for data importation, recoding, and inspection. There are functions to create new project folders, R code templates, create uniquely named output directories, and to quickly obtain a visual summary for each variable in a data frame. The main feature here is the systematic implementation of the "variable key" framework for data importation and recoding. We are eager to have community feedback about the variable key and the vignette about it. In version 1.7, the function 'semTable' is removed. It was deprecated since 1.67. That is provided in a separate package, 'semTable'.
Author: Paul Johnson [aut, cre], Benjamin Kite [aut], Charles Redmon [aut], Jared Harpole [ctb], Kenna Whitley [ctb], Po-Yi Chen [ctb], Shadi Pirhosseinloo [ctb]
Maintainer: Paul Johnson <pauljohn@ku.edu>

Diff between kutils versions 1.69 dated 2019-05-12 and 1.70 dated 2020-04-29

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Package taxlist updated to version 0.1.8 with previous version 0.1.7 dated 2020-01-10

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>), Zachary Foster [ctb] (<https://orcid.org/0000-0002-5075-0948>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between taxlist versions 0.1.7 dated 2020-01-10 and 0.1.8 dated 2020-04-29

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Permanent link

New package prophet with initial version 0.6.1
Package: prophet
Title: Automatic Forecasting Procedure
Version: 0.6.1
Date: 2020-04-28
Authors@R: c( person("Sean", "Taylor", email = "sjtz@pm.me", role = c("cre", "aut")), person("Ben", "Letham", email = "bletham@fb.com", role = "aut") )
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
URL: https://github.com/facebook/prophet
BugReports: https://github.com/facebook/prophet/issues
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0), rlang (>= 0.3.0.1)
Imports: dplyr (>= 0.7.7), dygraphs (>= 1.1.1.4), extraDistr, ggplot2, grid, methods, rstan (>= 2.18.1), rstantools (>= 2.0.0), scales, stats, tidyr (>= 0.6.1), xts
Suggests: knitr, testthat, readr, rmarkdown
SystemRequirements: GNU make, C++11
Biarch: true
License: MIT + file LICENSE
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-04-29 16:35:55 UTC; seant
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjtz@pm.me>
Repository: CRAN
Date/Publication: 2020-04-29 17:30:02 UTC

More information about prophet at CRAN
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Package jsmodule updated to version 1.0.7 with previous version 1.0.6 dated 2020-03-14

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.0.6 dated 2020-03-14 and 1.0.7 dated 2020-04-29

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New package dggridR with initial version 2.0.4
Package: dggridR
Type: Package
Title: Discrete Global Grids
Version: 2.0.4
Date: 2020-04-29
Author: Richard Barnes [aut, cre], Kevin Sahr [cph, ctb], Gerald Evenden [cph], Angus Johnson [cph], Frank Warmerdam [cph], Even Rouault [cph], Lian Song [ctb]
Maintainer: Richard Barnes <rijard.barnes@gmail.com>
NeedsCompilation: yes
Depends: R (>= 3.4.0), rgdal (>= 1.1), ggplot2 (>= 2.1), dplyr (>= 0.4), sp (>= 1.2)
Suggests: knitr, rmarkdown, maps, mapproj, R.rsp, testthat
License: MIT + file LICENCE
Authors@R: c(person("Richard", "Barnes", role = c("aut", "cre"), email = "rijard.barnes@gmail.com"), person("Kevin", "Sahr", role = c("cph", "ctb"), email = "sahrk@sou.edu"), person("Gerald", "Evenden", role = "cph"), person("Angus", "Johnson", role = "cph"), person("Frank", "Warmerdam", role = "cph"), person("Even", "Rouault", role = "cph"), person("Lian", "Song", role = "ctb") )
Description: Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.
URL: https://github.com/r-barnes/dggridR/
BugReports: https://github.com/r-barnes/dggridR/
Imports: Rcpp (>= 0.12.12), methods (>= 3.4.0)
LinkingTo: Rcpp
RcppModules: dgfuncs, gridgens, gridstats
RoxygenNote: 7.1.0
VignetteBuilder: knitr, R.rsp
SystemRequirements: C++11
Packaged: 2020-04-29 17:18:16 UTC; rick
Repository: CRAN
Date/Publication: 2020-04-29 17:50:02 UTC

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Package TraMineR updated to version 2.2-0.1 with previous version 2.2-0 dated 2020-04-22

Title: Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph] (<https://orcid.org/0000-0002-6269-1412>), Nicolas Müller [aut], Reto Bürgin [aut], Pierre-Alexandre Fonta [aut], Gilbert Ritschard [aut, cre, cph] (<https://orcid.org/0000-0001-7776-0903>)
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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Package shinyalert updated to version 1.1 with previous version 1.0 dated 2018-02-12

Title: Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Description: Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain text, images, OK/Cancel buttons, an input to get a response from the user, and many more customizable options.
Author: Dean Attali [aut, cre] (R interface), Tristan Edwards [aut] (sweetalert library)
Maintainer: Dean Attali <daattali@gmail.com>

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Package insurancerating updated to version 0.6.1 with previous version 0.6.0 dated 2020-04-10

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package hipread updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-14

Title: Read Hierarchical Fixed Width Files
Description: Read hierarchical fixed width files like those commonly used by many census data providers. Also allows for reading of data in chunks, and reading 'gzipped' files without storing the full file in memory.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Mark Padgham [ctb], Hadley Wickham [ctb] (Code adapted from readr), Jim Hester [ctb] (Code adapted from readr), Romain Francois [ctb] (Code adapted from readr), R Core Team [ctb] (Code adapted from readr), RStudio [cph, fnd] (Code adapted from readr), Jukka Jylänki [ctb, cph] (Code adapted from readr), Mikkel Jørgensen [ctb, cph] (Code adapted from readr), University of Minnesota [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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Package gdalUtilities updated to version 1.1.0 with previous version 1.0.0 dated 2019-07-18

Title: Wrappers for 'GDAL' Utilities Executables
Description: R's 'sf' package ships with self-contained 'GDAL' executables, including a bare bones interface to several of the 'GDAL'-related utility programs collectively known as the 'GDAL' utilities. For each of those utilities, this package provides an R wrapper whose formal arguments closely mirror those of the 'GDAL' command line interface. All of the utilities operate on data stored in files and typically write their output to other files. As a result, processing data stored in any of R's more common spatial formats (i.e. those supported by the 'sp', 'sf', and 'raster' packages) will require first writing to disk, then processing with the package's wrapper functions before reading back into R.
Author: Joshua O'Brien
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

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Package fastLink updated to version 0.6.0 with previous version 0.5.0 dated 2018-11-12

Title: Fast Probabilistic Record Linkage with Missing Data
Description: Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing data merges are included. The package implements methods described in Enamorado, Fifield, and Imai (2019) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', American Political Science Review and is available at <http://imai.fas.harvard.edu/research/linkage.html>.
Author: Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]
Maintainer: Ted Enamorado <ted.enamorado@gmail.com>

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New package terrainmeshr with initial version 0.1.0
Package: terrainmeshr
Type: Package
Title: Triangulate and Simplify 3D Terrain Meshes
Version: 0.1.0
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cph", "cre"), comment = c(ORCID = "0000-0002-3131-3814")), person("Michael", "Fogleman", role=c("ctb", "cph")))
Description: Provides triangulations of regular height fields, based on the methods described in "Fast Polygonal Approximation of Terrains and Height Fields" Michael Garland and Paul S. Heckbert (1995) <https://www.mgarland.org/files/papers/scape.pdf> using code from the 'hmm' library written by Michael Fogleman <https://www.github.com/fogleman/hmm>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
URL: https://www.github.com/tylermorganwall/terrainmeshr
BugReports: https://www.github.com/tylermorganwall/terrainmeshr/issues
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-04-25 15:09:57 UTC; tyler
Author: Tyler Morgan-Wall [aut, cph, cre] (<https://orcid.org/0000-0002-3131-3814>), Michael Fogleman [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-29 15:20:02 UTC

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Package systemfonts updated to version 0.2.1 with previous version 0.2.0 dated 2020-04-16

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 0.2.0 dated 2020-04-16 and 0.2.1 dated 2020-04-29

 systemfonts-0.2.0/systemfonts/inst/include/systemfonts.c |only
 systemfonts-0.2.1/systemfonts/DESCRIPTION                |    6 -
 systemfonts-0.2.1/systemfonts/MD5                        |   37 +++---
 systemfonts-0.2.1/systemfonts/NEWS.md                    |    4 
 systemfonts-0.2.1/systemfonts/configure                  |    2 
 systemfonts-0.2.1/systemfonts/inst/include/systemfonts.h |   54 ++++++---
 systemfonts-0.2.1/systemfonts/src/emoji.cpp              |   19 +++
 systemfonts-0.2.1/systemfonts/src/emoji.h                |    6 -
 systemfonts-0.2.1/systemfonts/src/font_metrics.cpp       |   39 ++++---
 systemfonts-0.2.1/systemfonts/src/font_metrics.h         |    7 -
 systemfonts-0.2.1/systemfonts/src/ft_cache.cpp           |   47 +++++---
 systemfonts-0.2.1/systemfonts/src/ft_cache.h             |   14 +-
 systemfonts-0.2.1/systemfonts/src/init.cpp               |    3 
 systemfonts-0.2.1/systemfonts/src/string_metrics.cpp     |   40 ++++---
 systemfonts-0.2.1/systemfonts/src/string_metrics.h       |    3 
 systemfonts-0.2.1/systemfonts/src/string_shape.cpp       |   21 +--
 systemfonts-0.2.1/systemfonts/src/string_shape.h         |   46 +++++++-
 systemfonts-0.2.1/systemfonts/src/systemfonts.cpp        |   83 ++++++++++-----
 systemfonts-0.2.1/systemfonts/src/systemfonts.h          |   11 -
 systemfonts-0.2.1/systemfonts/src/utils.h                |   27 +++-
 20 files changed, 318 insertions(+), 151 deletions(-)

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New package survSens with initial version 0.1.0
Package: survSens
Type: Package
Title: Sensitivity Analysis with Time-to-Event Outcomes
Version: 0.1.0
Date: 2020-04-16
Author: Rong Huang
Maintainer: Rong Huang <roh019@ucsd.edu>
Description: Performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2019) <arXiv:1908.01444>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: survival, ggplot2, directlabels
NeedsCompilation: no
URL: https://github.com/Rong0707/survSens
Packaged: 2020-04-25 17:40:51 UTC; rong
Repository: CRAN
Date/Publication: 2020-04-29 15:20:05 UTC

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Package respirometry updated to version 1.1.0 with previous version 1.0.2 dated 2020-01-26

Title: Tools for Conducting and Analyzing Respirometry Experiments
Description: Provides tools to enable the researcher to more precisely conduct respirometry experiments. Strong emphasis is on aquatic respirometry. Tools focus on helping the researcher setup and conduct experiments. Functions for analysis of resulting respirometry data are also provided. This package provides tools for intermittent, flow-through, and closed respirometry techniques.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

Diff between respirometry versions 1.0.2 dated 2020-01-26 and 1.1.0 dated 2020-04-29

 DESCRIPTION    |   11 ++++++-----
 MD5            |   10 +++++-----
 NEWS           |    8 ++++++--
 R/calc_b.R     |   26 ++++++++++++++++++++------
 R/calc_pcrit.R |   45 +++++++++++++++++++++++++--------------------
 man/calc_b.Rd  |    7 ++++++-
 6 files changed, 68 insertions(+), 39 deletions(-)

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Package IndependenceTests updated to version 0.4 with previous version 0.3 dated 2020-04-20

Title: Non-Parametric Tests of Independence Between Random Vectors
Description: Functions for non-parametric tests of independence (mutual or serial) between some quantitative random vectors.
Author: Pierre Lafaye De Micheaux [aut, cre], Martin Bilodeau [aut], Yanan Fan [aut], Spiridon Penev [aut], Donna Salopek [aut], Cleve Moler [cph] (LAPACK/BLAS routines in src), Jack Dongarra [cph] (LAPACK/BLAS routines in src), Richard Hanson [cph] (LAPACK/BLAS routines in src), Sven Hammarling [cph] (LAPACK/BLAS routines in src), Jeremy Du Croz [cph] (LAPACK/BLAS routines in src)
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between IndependenceTests versions 0.3 dated 2020-04-20 and 0.4 dated 2020-04-29

 DESCRIPTION                  |   30 +++++++++++++++++++-----
 MD5                          |   15 ++++++------
 inst/CITATION                |   11 +++------
 inst/HISTORY                 |    7 +++--
 src/Cnhat.cpp                |   52 ++++++++++++++++++++++---------------------
 src/IndependenceTests_init.c |    2 +
 src/cubature1.cpp            |    2 -
 src/mycomplex.h              |only
 src/phinhat.cpp              |   11 ++++-----
 9 files changed, 76 insertions(+), 54 deletions(-)

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Package DJL updated to version 3.3 with previous version 3.2 dated 2020-01-07

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, Ph.D. (2016) <DOI: 10.1016/j.ejor.2016.03.059>
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

Diff between DJL versions 3.2 dated 2020-01-07 and 3.3 dated 2020-04-29

 DESCRIPTION                  |   10 +++++-----
 MD5                          |   26 ++++++++++++++------------
 NAMESPACE                    |    1 +
 NEWS                         |   17 +++++++++++++++++
 R/plp.R                      |only
 R/roc.dea.R                  |   12 ++++++------
 R/roc.hdf.R                  |   12 ++++++------
 R/roc.sf.R                   |   12 ++++++------
 man/dataset.airplane.2017.Rd |    2 +-
 man/dm.dynamic.bc.Rd         |    3 +--
 man/plp.Rd                   |only
 man/roc.dea.Rd               |    4 ++--
 man/target.arrival.dea.Rd    |    4 ++--
 man/target.arrival.hdf.Rd    |    4 ++--
 man/target.arrival.sf.Rd     |    4 ++--
 15 files changed, 65 insertions(+), 46 deletions(-)

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New package sos4R with initial version 0.4.0
Package: sos4R
Type: Package
Title: Client for OGC Sensor Observation Services
Version: 0.4.0
Date: 2020-04-22
Authors@R: c(person(given = "Daniel", family = "Nuest", role = c("cre", "aut"), email = "daniel.nuest@uni-muenster.de", comment = c(ORCID = "0000-0002-0024-5046")), person(given = "Edzer", family = "Pebesma", role = "ctb", comment = c(ORCID = "0000-0001-8049-7069")), person(given = "Ben", family = "Graeler", role = "aut", comment = c(ORCID = "0000-0001-5443-4304")), person(given = "Benjamin", family = "Pross", role = "aut"), person(given = "Eike Hinderk", family = "Juerrens", role = "aut"), person(given = "52°North Initiative for Geospatial Open Source Software GmbH", email = "info@52north.org", role = "cph"))
Depends: R (>= 3.4.0)
Imports: dplyr, httr, methods, parsedate, sp, stats, stringr, uuid, xml2 (>= 1.2.2),
Suggests: readr, spacetime, leaflet, leafpop, mapdata, maps, maptools, mapview, xts, testthat, rgdal, knitr, rmarkdown, webmockr, kableExtra, skimr, clipr
Description: A client for Sensor Observation Services (SOS, see <https://www.opengeospatial.org/standards/sos>) as specified by the Open Geospatial Consortium (OGC). With the package users can retrieve (meta)data from SOS instances and interactively create requests for near real-time observation data based on the available sensors, phenomena, observations etc. using thematic, temporal, and spatial filtering.
License: GPL-2
URL: https://github.com/52North/sos4R
Encoding: UTF-8
LazyLoad: TRUE
ByteCompile: TRUE
BugReports: https://github.com/52North/sos4R/issues
VignetteBuilder: knitr
Collate: Constants.R caches.R R-Helper.R Class-OWS.R Class-GML.R Class-SWE.R Class-OM.R Class-SA.R Class-SAMS.R Class-WML_200.R Class-OM_20.R Class-OGC.R Class-SOS.R Class-SOS_100.R Class-SOS_200.R Class-SOS_200_GDA.R Class-SML.R Generic-methods.R OWS-methods.R OWS-methods-parsing.R SOS-methods-parsing.R OM-methods.R OM-methods-coercion.R OM-methods-parsing.R OM_20-methods-parsing.R OM_20-methods.R SA-methods.R GML-methods-util.R GML-methods.R GML-methods-coercion.R SWE-methods.R SML-methods.R GML-methods-parsing.R SWE-methods-parsing.R OGC-methods.R SOS-methods-accessor.R PrintShowStructureSummmary-methods.R SOS-methods-util.R SOS-methods.R SOS-methods-plotting.R SOS-methods-coercion.R SML-methods-util.R SML-methods-coercion.R SOS_200-methods-impl.R SOS_200-methods.R SOS_200-methods-parsing.R SOS_200_methods-gda.R WML_200-methods.R SAMS-methods.R Defaults.R Wrapper-methods.R Development.R
RoxygenNote: 7.1.0
Language: en-GB
NeedsCompilation: no
Packaged: 2020-04-28 08:23:44 UTC; daniel
Author: Daniel Nuest [cre, aut] (<https://orcid.org/0000-0002-0024-5046>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>), Ben Graeler [aut] (<https://orcid.org/0000-0001-5443-4304>), Benjamin Pross [aut], Eike Hinderk Juerrens [aut], 52°North Initiative for Geospatial Open Source Software GmbH [cph]
Maintainer: Daniel Nuest <daniel.nuest@uni-muenster.de>
Repository: CRAN
Date/Publication: 2020-04-29 15:00:02 UTC

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Package sensitivity updated to version 1.19.0 with previous version 1.18.1 dated 2020-04-07

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

Diff between sensitivity versions 1.18.1 dated 2020-04-07 and 1.19.0 dated 2020-04-29

 DESCRIPTION                |    8 
 MD5                        |   34 +--
 NAMESPACE                  |    8 
 NEWS                       |   18 +
 R/nodeggplot.R             |    2 
 R/pcc.R                    |   19 +-
 R/shapleyPermEx.R          |   37 +--
 R/shapleyPermRand.R        |    4 
 R/shapleySubsetMc.R        |  417 ++++++++++++++++++++++++---------------------
 R/sobolrank.R              |only
 R/src.R                    |   23 +-
 man/pcc.Rd                 |    9 
 man/sensitivity-package.Rd |    3 
 man/shapleyPermEx.Rd       |    5 
 man/shapleyPermRand.Rd     |    5 
 man/shapleySubsetMc.Rd     |   10 -
 man/sobolrank.Rd           |only
 man/src.Rd                 |   11 -
 man/weightTSA.Rd           |   11 -
 19 files changed, 354 insertions(+), 270 deletions(-)

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New package heritEWAS with initial version 0.1.0
Package: heritEWAS
Title: Identify Heritable Methylation Marks
Version: 0.1.0
Authors@R: c(person(given = "James", family = "Dowty", role = c("aut"), email = "jdowty@unimelb.edu.au"), person(given = "Kevin", family = "Wong", role = c("aut", "cre"), email = "wongck.kevin@gmail.com"))
Description: A novel statistical method based on expectation maximisation (EM) algorithm and genetic segregation analysis to identify heritable DNA methylation marks. Details about the method can be found in Joo et al. (2018) <doi:10.1038/s41467-018-03058-6>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-25 07:02:59 UTC; Kevin
Author: James Dowty [aut], Kevin Wong [aut, cre]
Maintainer: Kevin Wong <wongck.kevin@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-29 14:40:02 UTC

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New package gofgamma with initial version 1.0
Package: gofgamma
Type: Package
Title: Goodness-of-Fit Tests for the Gamma Distribution
Version: 1.0
Authors@R: c(person("Lucas", "Butsch", email="lucas.butsch@gmail.com", role=c("aut")), person("Bruno", "Ebner", email="bruno.ebner@kit.edu", role = c("aut", "cre")), person("Steffen", "Betsch", email="steffen.betsch@kit.edu", role=c("aut")))
Maintainer: Bruno Ebner <bruno.ebner@kit.edu>
Description: We implement various classical tests for the composite hypothesis of testing the fit to the family of gamma distributions as the Kolmogorov-Smirnov test, the Cramer-von Mises test, the Anderson Darling test and the Watson test. For each test a parametric bootstrap procedure is implemented, as considered in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851>. The recent procedures presented in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851> and Betsch & Ebner (2019) <doi:10.1007/s00184-019-00708-7> are implemented. Estimation of parameters of the gamma law are implemented using the method of Bhattacharya (2001) <doi:10.1080/00949650108812100>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2020-04-24 17:12:44 UTC; ebner
Author: Lucas Butsch [aut], Bruno Ebner [aut, cre], Steffen Betsch [aut]
Repository: CRAN
Date/Publication: 2020-04-29 14:40:05 UTC

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New package DemografixeR with initial version 0.1.0
Package: DemografixeR
Title: Extrapolate Gender, Age and Nationality of a Name
Version: 0.1.0
Authors@R: person(given = "Matthias", family = "Brenninkmeijer", role = c("aut", "cre"), email = "matthias@brennotten.net")
Description: Connects to the <https://genderize.io/>, <https://agify.io/> and <https://nationalize.io/> APIs to estimate gender, age and nationality of a first name.
License: MIT + file LICENSE
URL: https://matbmeijer.github.io/DemografixeR, https://github.com/matbmeijer/DemografixeR
BugReports: https://github.com/matbmeijer/DemografixeR/issues
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite, magrittr
RoxygenNote: 7.1.0
Suggests: covr, testthat, knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-24 09:22:09 UTC; Brenninkmeijer
Author: Matthias Brenninkmeijer [aut, cre]
Maintainer: Matthias Brenninkmeijer <matthias@brennotten.net>
Repository: CRAN
Date/Publication: 2020-04-29 14:20:02 UTC

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New package cemco with initial version 0.1
Package: cemco
Version: 0.1
Date: 2020-04-05
Title: Fit 'CemCO' Algorithm
Authors@R: c(person('Carlos', 'Relvas', role = c('aut'), email = 'carlos.edu.relvas@gmail.com'), person('Andre', 'Fujita', role = c('aut','cre'), email = 'andrefujita@usp.br'))
Description: Functions to fit the 'CemCO' algorithm, a model-based (Gaussian) clustering algorithm that removes/minimizes the effects of undesirable covariates during the clustering process both in cluster centroid and in cluster covariance structures (Relvas C. & Fujita A., (2020) <arXiv:2004.02333>).
Depends: R (>= 3.1.0)
License: GPL (>= 2)
LazyData: true.
Imports: clusteval, doParallel, nnet, rootSolve, foreach, MASS, mclust, mvtnorm
RoxygenNote: 6.1.1.9000
NeedsCompilation: no
Packaged: 2020-04-24 13:41:30 UTC; carlosrelvas
Author: Carlos Relvas [aut], Andre Fujita [aut, cre]
Maintainer: Andre Fujita <andrefujita@usp.br>
Repository: CRAN
Date/Publication: 2020-04-29 14:30:03 UTC

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New package aos with initial version 0.1.0
Package: aos
Title: Animate on Scroll Library for 'shiny'
Version: 0.1.0
Authors@R: c(person(given = "Félix", family = "Luginbuhl", role = c("aut", "cre"), email = "felix.luginbuhl@protonmail.ch") )
Description: Trigger animation effects on scroll on any HTML element of 'shiny' and 'rmarkdown', such as any text or plot, thanks to the 'AOS' Animate On Scroll jQuery library.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: jsonlite, htmltools
Suggests: shiny
URL: https://felixluginbuhl.com/aos, https://github.com/lgnbhl/aos
BugReports: https://github.com/lgnbhl/aos/issues
NeedsCompilation: no
Packaged: 2020-04-25 16:09:08 UTC; Felix
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Repository: CRAN
Date/Publication: 2020-04-29 14:30:05 UTC

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Package wrProteo updated to version 1.1.1 with previous version 1.0.0 dated 2020-01-08

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from Uniprot) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Quantitative proteomics measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values. Dedicated filtering and statistical testing using the framework of package 'limma' <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options separating the data into sub-groups during normalization and testing. Subsequently, ROC curves can be constructed to compare multiple analysis approaches.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

Diff between wrProteo versions 1.0.0 dated 2020-01-08 and 1.1.1 dated 2020-04-29

 wrProteo-1.0.0/wrProteo/R/matrixNAneighbourImputet.R                |only
 wrProteo-1.1.1/wrProteo/DESCRIPTION                                 |   21 -
 wrProteo-1.1.1/wrProteo/MD5                                         |   70 ++--
 wrProteo-1.1.1/wrProteo/NAMESPACE                                   |   40 +-
 wrProteo-1.1.1/wrProteo/R/AAmass.R                                  |only
 wrProteo-1.1.1/wrProteo/R/convAASeq2mass.R                          |only
 wrProteo-1.1.1/wrProteo/R/countNoOfCommonPeptides.R                 |    4 
 wrProteo-1.1.1/wrProteo/R/massDeFormula.R                           |only
 wrProteo-1.1.1/wrProteo/R/matrixNAinspect.R                         |    4 
 wrProteo-1.1.1/wrProteo/R/matrixNAneighbourImpute.R                 |only
 wrProteo-1.1.1/wrProteo/R/plotROC.R                                 |    2 
 wrProteo-1.1.1/wrProteo/R/readFasta2.R                              |    7 
 wrProteo-1.1.1/wrProteo/R/readMaxQuantFile.R                        |only
 wrProteo-1.1.1/wrProteo/R/readPDExport.R                            |only
 wrProteo-1.1.1/wrProteo/R/readProlineFile.R                         |   83 +++--
 wrProteo-1.1.1/wrProteo/R/readUCSCgtf.R                             |only
 wrProteo-1.1.1/wrProteo/R/readUniProtExport.R                       |only
 wrProteo-1.1.1/wrProteo/R/summarizeForROC.R                         |   17 -
 wrProteo-1.1.1/wrProteo/R/testRobustToNAimputation.R                |   22 -
 wrProteo-1.1.1/wrProteo/build                                       |only
 wrProteo-1.1.1/wrProteo/inst/doc                                    |only
 wrProteo-1.1.1/wrProteo/inst/extdata/UCSC_hg38_chr11extr.gtf        |only
 wrProteo-1.1.1/wrProteo/inst/extdata/deUniProt_hg38chr11extr.tab    |only
 wrProteo-1.1.1/wrProteo/inst/extdata/exampleProtDiscov1.txt         |only
 wrProteo-1.1.1/wrProteo/inst/extdata/exampleProtDiscov1_Rheader.txt |only
 wrProteo-1.1.1/wrProteo/inst/extdata/proteinGroupsMaxQuantUps1.txt  |only
 wrProteo-1.1.1/wrProteo/man/AAmass.Rd                               |only
 wrProteo-1.1.1/wrProteo/man/combineMultFilterNAimput.Rd             |  136 ++++----
 wrProteo-1.1.1/wrProteo/man/convAASeq2mass.Rd                       |only
 wrProteo-1.1.1/wrProteo/man/countNoOfCommonPeptides.Rd              |  103 +++---
 wrProteo-1.1.1/wrProteo/man/extrSpeciesAnnot.Rd                     |   76 ++--
 wrProteo-1.1.1/wrProteo/man/massDeFormula.Rd                        |only
 wrProteo-1.1.1/wrProteo/man/matrixNAinspect.Rd                      |  116 +++---
 wrProteo-1.1.1/wrProteo/man/matrixNAneighbourImpute.Rd              |  146 ++++----
 wrProteo-1.1.1/wrProteo/man/plotROC.Rd                              |  140 ++++----
 wrProteo-1.1.1/wrProteo/man/razorNoFilter.Rd                        |   98 +++--
 wrProteo-1.1.1/wrProteo/man/readFasta2.Rd                           |  114 +++---
 wrProteo-1.1.1/wrProteo/man/readMaxQuantFile.Rd                     |only
 wrProteo-1.1.1/wrProteo/man/readPDExport.Rd                         |only
 wrProteo-1.1.1/wrProteo/man/readProlineFile.Rd                      |  111 +++---
 wrProteo-1.1.1/wrProteo/man/readUCSCgtf.Rd                          |only
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New package flan with initial version 0.8
Package: flan
Version: 0.8
Date: 2020-04-14
Type: Package
Title: FLuctuation ANalysis on Mutation Models
Authors@R: c(person("Adrien","Mazoyer", role =c("aut","cre"),email="adrien.mazoyer@univ-lille.fr"), person("Remy", "Drouilhet", role = "aut"), person("Stephane", "Despreaux", role = "aut"), person("Bernard", "Ycart", role = "aut"))
Author: Adrien Mazoyer [aut, cre], Remy Drouilhet [aut], Stephane Despreaux [aut], Bernard Ycart [aut]
Maintainer: Adrien Mazoyer <adrien.mazoyer@univ-lille.fr>
Description: Tools for fluctuations analysis of mutant cells counts.
License: GPL
URL: https://www.r-project.org, https://github.com/AdriMaz/flan
BugReports: https://github.com/AdriMaz/flan/issues
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.5), methods
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
RcppModules: flan_module
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU GSL
Packaged: 2020-04-29 12:57:06 UTC; AdrienMazoyer
Repository: CRAN
Date/Publication: 2020-04-29 14:00:06 UTC

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Package covid19us updated to version 0.1.3 with previous version 0.1.2 dated 2020-04-11

Title: Cases of COVID-19 in the United States
Description: A wrapper around the 'COVID Tracking Project API' <https://covidtracking.com/api/> providing data on cases of COVID-19 in the US.
Author: Amanda Dobbyn [aut, cre]
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>

Diff between covid19us versions 0.1.2 dated 2020-04-11 and 0.1.3 dated 2020-04-29

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Package textplot updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-28

Title: Text Plots
Description: Visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering. Feel free to join the effort of providing interesting text visualisations.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Sacha Epskamp [ctb, cph] (code in R/matrix_reduction.R adapted from the qgraph package version 1.4.0 which is GPL-2 licensed), Ingo Feinerer and Kurt Hornik [ctb, cph] (partial code in R/textplot_corlines.R adapted from the tm package version 0.4 which is GPL-2 licensed)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between textplot versions 0.1.0 dated 2020-04-28 and 0.1.1 dated 2020-04-29

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Package simfinR updated to version 0.2.2 with previous version 0.2.1 dated 2020-02-26

Title: Import Financial Data from the 'SimFin' Project
Description: Uses the 'SimFin' (SIMmplifying FINnance) api at <https://simfin.com/data/access/api> to download financial data straight into your R session. It includes financial statements -- balance sheet, cash flow and income statement -- and adjusted daily price of stocks. The available data is comprehensive, going back to 2005 and available for quarters (Q1, Q2, Q3, Q4) and years (FY).
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>

Diff between simfinR versions 0.2.1 dated 2020-02-26 and 0.2.2 dated 2020-04-29

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Package restatapi updated to version 0.8.0 with previous version 0.7.5 dated 2020-03-10

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.7.5 dated 2020-03-10 and 0.8.0 dated 2020-04-29

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More information about restatapi at CRAN
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Package diveMove updated to version 1.4.6 with previous version 1.4.5 dated 2019-01-03

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

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Package shinyFeedback updated to version 0.2.0 with previous version 0.1.0 dated 2018-08-20

Title: Display User Feedback in Shiny Apps
Description: Easily display user feedback in Shiny apps.
Author: Andy Merlino [aut, cre], Patrick Howard [aut]
Maintainer: Andy Merlino <andy.merlino@tychobra.com>

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More information about shinyFeedback at CRAN
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Package powerEQTL updated to version 0.1.7 with previous version 0.1.3 dated 2017-01-24

Title: Power and Sample Size Calculation for eQTL Analysis
Description: Power and sample size calculation for eQTL analysis based on ANOVA or simple linear regression. It can also calculate power/sample size for testing the association of a SNP to a continuous type phenotype.
Author: Xianjun Dong [aut, ctb], Tzuu-Wang Chang [aut, ctb], Scott T. Weiss [aut, ctb], Weiliang Qiu [aut, cre]
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>

Diff between powerEQTL versions 0.1.3 dated 2017-01-24 and 0.1.7 dated 2020-04-29

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More information about powerEQTL at CRAN
Permanent link

New package tangram with initial version 0.7.1
Package: tangram
Title: The Grammar of Tables
Version: 0.7.1
Authors@R: c(person("Shawn", "Garbett", email = "Shawn.Garbett@vumc.org", role = c("aut", "cre")), person("Thomas", "Stewart", email = "Thomas.Stewart@Vanderbilt.edu", role = c("ctb")), person("Jennifer", "Thompson", email = "Jennifer.L.Thompson@vumc.org", role = c("ctb")), person("Frank", "Harrell", email = "F.Harrell@Vanderbilt.edu", role = c("ctb")), person("Ahra", "Kim", email = "Ahra.Kim@vumc.org", role = c("ctb")) )
Description: Provides an extensible formula system to quickly and easily create production quality tables. The steps of the process are formula parser, statistical content generation from data, to rendering. Each step of the process is separate and user definable thus creating a set of building blocks for highly extensible table generation. A user is not limited by any of the choices of the package creator other than the formula grammar. For example, one could chose to add a different S3 rendering function and output a format not provided in the default package. Or possibly one would rather have Gini coefficients for their statistical content. Routines to achieve New England Journal of Medicine style, Lancet style and Hmisc::summaryM() statistics are provided. The package contains rendering for HTML5, Rmarkdown and an indexing format for use in tracing and tracking are provided.
Author: Shawn Garbett [aut, cre], Thomas Stewart [ctb], Jennifer Thompson [ctb], Frank Harrell [ctb], Ahra Kim [ctb]
Maintainer: Shawn Garbett <Shawn.Garbett@vumc.org>
Depends: R (>= 3.5.0), R6, magrittr, knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, rms, rmarkdown, Hmisc, sandwich, dplyr, Matching, epitools
Imports: stringi, stringr, base64enc, digest, htmltools
RoxygenNote: 7.1.0
Collate: 'compile-cell.R' 'cell-hmisc.R' 'cell-lancet.R' 'cell-nejm.R' 'compile-clmm2.R' 'compile-operators.R' 'compile-post.R' 'parser.R' 'compile.R' 'compile-rms.R' 'compile-typing.R' 'helper-format.R' 'hmisc-cut2.R' 'hmisc-lm.fit.qr.bare.R' 'hmisc-impute.R' 'hmisc-biVar.R' 'iify.R' 'render-csv.R' 'render-html5.R' 'render-index.R' 'render-latex-map.R' 'render-latex.R' 'render-rmd.R' 'render-rtf.R' 'render-summary.R' 'smd.R' 'transform-hmisc.R' 'transform-lancet.R' 'transform-nejm.R' 'transform-proc-tab.R' 'transform-smd.R'
NeedsCompilation: no
Packaged: 2020-04-28 15:55:02 UTC; garbetsp
URL: https://github.com/spgarbet/tangram
BugReports: https://github.com/spgarbet/tangram/issues
Repository: CRAN
Date/Publication: 2020-04-29 10:40:02 UTC

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Package missingHE updated to version 1.4.0 with previous version 1.3.2 dated 2020-01-08

Title: Missing Outcome Data in Health Economic Evaluation
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>

Diff between missingHE versions 1.3.2 dated 2020-01-08 and 1.4.0 dated 2020-04-29

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Package labelled updated to version 2.3.1 with previous version 2.3.0 dated 2020-04-27

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], François Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between labelled versions 2.3.0 dated 2020-04-27 and 2.3.1 dated 2020-04-29

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New package itsadug with initial version 2.4
Package: itsadug
Version: 2.4
Date: 2020-04-30
Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Authors@R: c( person("Jacolien", "van Rij", email="vanrij.jacolien@gmail.com", role = c("aut", "cre")), person("Martijn","Wieling", role = "aut"), person("R. Harald","Baayen", role = "aut"), person("Hedderik", "van Rijn", role = "ctb"))
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien@gmail.com>
Description: GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dilation, gaze data (eye tracking), and articulography recordings, but also for behavioral data such as reaction times and response data. As time course measures are sensitive to autocorrelation problems, GAMMs implements methods to reduce the autocorrelation problems. This package includes functions for the evaluation of GAMM models (e.g., model comparisons, determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs (e.g., visualization of complex interactions, and contrasts).
License: GPL (>= 2)
LazyData: true
Depends: R (>= 4.0), mgcv (>= 1.8), plotfunctions (>= 1.4)
VignetteBuilder: knitr
Suggests: knitr, xtable, sp, data.table
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-04-28 13:33:46 UTC; jacolien
Repository: CRAN
Date/Publication: 2020-04-29 10:40:07 UTC

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New package fdaPDE with initial version 1.0-8
Package: fdaPDE
Version: 1.0-8
Date: 2020-04-27
Title: Functional Data Analysis and Partial Differential Equations (PDE); Statistical Analysis of Functional and Spatial Data, Based on Regression with PDE Regularization
Authors@R: c(person("Eardi", "Lila", role = c("aut"), email = "elila@uw.edu"), person("Laura M.", "Sangalli", role = c("aut"), email = "laura.sangalli@polimi.it"), person("Eleonora", "Arnone", role = c("aut", "cre"), email = "eleonora.arnone@polimi.it"), person("Jim", "Ramsay", role = "aut", email = " ramsay@psych.mcgill.ca"), person("Luca", "Formaggia", role = "aut", email = " luca.formaggia@polimi.it"), person("Alessandra", "Colli", role = "ctb"), person("Luca", "Colombo", role = "ctb"), person("Carlo", "de Falco", role = "ctb"))
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>
Depends: R (>= 3.5.0), stats, grDevices, graphics, geometry, rgl, Matrix, plot3D, plot3Drgl
LinkingTo: RcppEigen
Suggests: MASS, testthat
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization.
License: CC BY-NC-SA 4.0
Copyright: See the individual source files for copyrights information
NeedsCompilation: yes
SystemRequirements: C++11
RoxygenNote: 7.0.2
Encoding: UTF-8
Packaged: 2020-04-27 12:50:43 UTC; eleon_000
Author: Eardi Lila [aut], Laura M. Sangalli [aut], Eleonora Arnone [aut, cre], Jim Ramsay [aut], Luca Formaggia [aut], Alessandra Colli [ctb], Luca Colombo [ctb], Carlo de Falco [ctb]
Repository: CRAN
Date/Publication: 2020-04-29 10:50:02 UTC

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New package bcmaps with initial version 0.18.1
Package: bcmaps
Title: Map Layers and Spatial Utilities for British Columbia
Version: 0.18.1
Authors@R: c(person("Andy", "Teucher", email = "andy.teucher@gov.bc.ca", role = c("aut", "cre")), person("Stephanie", "Hazlitt", email = "stephanie.hazlitt@gov.bc.ca", role = "aut"), person("Sam", "Albers", email = "sam.albers@gov.bc.ca", role = "aut"), person("Province of British Columbia", role="cph"))
Description: Provides access to various spatial layers for B.C., such as administrative boundaries, natural resource management boundaries, etc. All layers are imported from the 'bcmapsdata' package as 'sf' or 'Spatial' objects through function calls in this package. All layers are in B.C. 'Albers' equal-area projection <http://spatialreference.org/ref/epsg/nad83-bc-albers/>, which is the B.C. government standard.
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/bcgov/bcmaps
BugReports: https://github.com/bcgov/bcmaps/issues
Depends: sf (>= 0.9)
Imports: httr (>= 1.3.1), methods, rappdirs (>= 0.3.1), stats, utils
Suggests: bcmapsdata (>= 0.3.0), future.apply (>= 1.2.0), future (>= 1.12.0), ggplot2 (>= 3.0), glue (>= 1.1.1), knitr, raster (>= 2.5-8), rgdal (>= 1.2-13), rgeos (>= 0.3-25), rmarkdown, sp (>= 1.2-5), lwgeom (>= 0.2-2), testthat (>= 2.1.0)
VignetteBuilder: knitr
Additional_repositories: https://bcgov.github.io/drat
LazyData: true
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-04-28 19:33:28 UTC; ateucher
Author: Andy Teucher [aut, cre], Stephanie Hazlitt [aut], Sam Albers [aut], Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>
Repository: CRAN
Date/Publication: 2020-04-29 10:30:10 UTC

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Package MergeGUI (with last version 0.2-1) was removed from CRAN

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

2014-01-27 0.2-1
2011-06-20 0.1-1

Permanent link
Package dbConnect (with last version 1.0) was removed from CRAN

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

2011-01-03 1.0

Permanent link
Package MicroStrategyR (with last version 1.0-1) was removed from CRAN

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

2013-04-27 1.0-1

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Package RSA updated to version 0.10.0 with previous version 0.9.13 dated 2018-12-14

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full second- or third-order polynomial, shifted and rotated squared difference model, rising ridge surfaces, basic squared difference model, asymmetric or level-dependent congruence effect models). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a5, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schönbrodt [cre, aut], Sarah Humberg [aut]
Maintainer: Felix Schönbrodt <felix@nicebread.de>

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Package RAINBOWR updated to version 0.1.17 with previous version 0.1.14 dated 2019-11-14

Title: Genome-Wide Association Study with SNP-Set Methods
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
Author: Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb]
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>

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Package nonpar updated to version 1.0.2 with previous version 1.0.1 dated 2017-04-25

Title: A Collection of Nonparametric Hypothesis Tests
Description: Contains the following 5 nonparametric hypothesis tests: The Sign Test, The 2 Sample Median Test, Miller's Jackknife Procedure, Cochran's Q Test, & The Stuart-Maxwell Test.
Author: D. Lukke Sweet
Maintainer: D. Lukke Sweet <dlukkesweet@gmail.com>

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Package CNVScope updated to version 3.0.9 with previous version 3.0.8 dated 2020-04-28

Title: A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish@nih.gov>

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Package unisensR updated to version 0.3.3 with previous version 0.3.2 dated 2020-02-09

Title: Read 'Unisens' Data
Description: Provides the ability to read 'Unisens' data into R. 'Unisens' is a universal data format for multi sensor data.
Author: Martin Penzel [ctb, cre], Jürgen Stumpp [aut], Jörg Ottenbacher [ctb], Stephan Grund [ctb], movisens GmbH [cph]
Maintainer: Martin Penzel <Martin.Penzel@movisens.com>

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Package CeRNASeek updated to version 2.1.3 with previous version 2.1.2 dated 2020-01-11

Title: Identification and Analysis of ceRNA Regulation
Description: Provides several functions to identify and analyse miRNA sponge, including popular methods for identifying miRNA sponge interactions, two types of global ceRNA regulation prediction methods and four types of context-specific prediction methods( Li Y et al.(2017) <doi:10.1093/bib/bbx137>), which are based on miRNA-messenger RNA regulation alone, or by integrating heterogeneous data, respectively. In addition, For predictive ceRNA relationship pairs, this package provides several downstream analysis algorithms, including regulatory network analysis and functional annotation analysis, as well as survival prognosis analysis based on expression of ceRNA ternary pair.
Author: Mengying Zhang,Yongsheng Li,Juan Xu*,Xia Li*
Maintainer: Mengying Zhang <zhangmengying@hrbmu.edu.cn>

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Package FKSUM updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-07

Title: Fast Kernel Sums
Description: Implements the method of Hofmeyr, D.P. (2019) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations. Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected covariates.
Author: David P. Hofmeyr
Maintainer: David P. Hofmeyr <dhofmeyr@sun.ac.za>

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Package usethis updated to version 1.6.1 with previous version 1.6.0 dated 2020-04-09

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package mrbin updated to version 1.4.0 with previous version 1.3.0 dated 2020-03-19

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<http://www.kleinomicslab.com/software>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

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Package leastcostpath updated to version 1.2.3 with previous version 1.2.1 dated 2020-03-25

Title: Modelling Pathways and Movement Potential Within a Landscape
Description: Provides functionality to calculate cost surfaces based on slope (e.g. Herzog, 2010; Llobera and Sluckin, 2007 <doi:10.1016/j.jtbi.2007.07.020>; París Roche, 2002; Tobler, 1993), traversing slope (Bell and Lock, 2000), and landscape features (Llobera, 2000) to be used when modelling pathways and movement potential within a landscape (e.g. Llobera, 2015; Verhagen, 2013; White and Barber, 2012 <doi:10.1016/j.jas.2012.04.017>).
Author: Joseph Lewis [aut, cre]
Maintainer: Joseph Lewis <josephlewis1992@gmail.com>

Diff between leastcostpath versions 1.2.1 dated 2020-03-25 and 1.2.3 dated 2020-04-29

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Package hydroPSO updated to version 0.5-1 with previous version 0.5-0 dated 2020-03-18

Title: Particle Swarm Optimisation, with Focus on Environmental Models
Description: State-of-the-art version of the Particle Swarm Optimisation (PSO) algorithm (SPSO-2011 and SPSO-2007 capable). hydroPSO can be used as a replacement of the 'optim' R function for (global) optimization of non-smooth and non-linear functions. However, the main focus of hydroPSO is the calibration of environmental and other real-world models that need to be executed from the system console. hydroPSO is model-independent, allowing the user to easily interface any computer simulation model with the calibration engine (PSO). hydroPSO communicates with the model through the model's own input and output files, without requiring access to the model's source code. Several PSO variants and controlling options are included to fine-tune the performance of the calibration engine to different calibration problems. An advanced sensitivity analysis function together with user-friendly plotting summaries facilitate the interpretation and assessment of the calibration results. hydroPSO is parallel-capable, to alleviate the computational burden of complex models with "long" execution time. Bugs reports/comments/questions are very welcomed (in English, Spanish or Italian). See Zambrano-Bigiarini and Rojas (2013) <doi:10.1016/j.envsoft.2013.01.004> for more details.
Author: Mauricio Zambrano-Bigiarini [aut, cre] (<https://orcid.org/0000-0002-9536-643X>), Rodrigo Rojas [ctb]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>

Diff between hydroPSO versions 0.5-0 dated 2020-03-18 and 0.5-1 dated 2020-04-29

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Package gWidgetstcltk updated to version 0.0-55.1 with previous version 0.0-55 dated 2014-07-20

Title: Toolkit implementation of gWidgets for tcltk package
Description: Port of the gWidgets API to the tcltk package. Requires Tk 8.5 or greater.
Author: John Verzani
Maintainer: ORPHANED

Diff between gWidgetstcltk versions 0.0-55 dated 2014-07-20 and 0.0-55.1 dated 2020-04-29

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Package gWidgets updated to version 0.0-54.2 with previous version 0.0-54.1 dated 2019-01-27

Title: gWidgets API for Building Toolkit-Independent, Interactive GUIs
Description: Provides a toolkit-independent API for building interactive GUIs. At least one of the 'gWidgetsXXX packages', such as gWidgetstcltk, needs to be installed. Some icons are on loan from the scigraphica project <http://scigraphica.sourceforge.net>.
Author: John Verzani. Based on the iwidgets code of Simon Urbanek and suggestions by Simon Urbanek, Philippe Grosjean and Michael Lawrence
Maintainer: ORPHANED

Diff between gWidgets versions 0.0-54.1 dated 2019-01-27 and 0.0-54.2 dated 2020-04-29

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Package colourvalues updated to version 0.3.5 with previous version 0.3.4 dated 2020-03-18

Title: Assigns Colours to Values
Description: Maps one of the viridis colour palettes, or a user-specified palette to values. Viridis colour maps are created by Stéfan van der Walt and Nathaniel Smith, and were set as the default palette for the 'Python' 'Matplotlib' library <https://matplotlib.org/>. Other palettes available in this library have been derived from 'RColorBrewer' <https://CRAN.R-project.org/package=RColorBrewer> and 'colorspace' <https://CRAN.R-project.org/package=colorspace> packages.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between colourvalues versions 0.3.4 dated 2020-03-18 and 0.3.5 dated 2020-04-29

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Package aweek updated to version 1.0.1 with previous version 1.0.0 dated 2019-06-11

Title: Convert Dates to Arbitrary Week Definitions
Description: Which day a week starts depends heavily on the either the local or professional context. This package is designed to be a lightweight solution to easily switching between week-based date definitions.
Author: Zhian N. Kamvar [aut, cre]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between aweek versions 1.0.0 dated 2019-06-11 and 1.0.1 dated 2020-04-29

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