Thu, 09 Jan 2020

Package stormwindmodel updated to version 0.1.2 with previous version 0.1.1 dated 2018-10-15

Title: Model Tropical Cyclone Wind Speeds
Description: Allows users to input tracking data for a hurricane or other tropical storm, along with a data frame of grid points at which to model wind speeds. Functions in this package will then calculate wind speeds at each point based on wind model equations. This modeling framework is currently set up to model winds for North American locations with Atlantic basin storms. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and the Department of Energy (DE-FG02-08ER64644).
Author: Brooke Anderson [aut, cre], Andrea Schumacher [aut], Seth Guikema [aut], Steven Quiring [aut], Joshua Ferreri [aut], Andrea Staid [ctb], Michael Guo [ctb], Lei Ming [ctb], Laiyin Zhu [ctb]
Maintainer: Brooke Anderson <brooke.anderson@colostate.edu>

Diff between stormwindmodel versions 0.1.1 dated 2018-10-15 and 0.1.2 dated 2020-01-09

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 stormwindmodel-0.1.2/stormwindmodel/MD5                                                                                  |   58 -
 stormwindmodel-0.1.2/stormwindmodel/NAMESPACE                                                                            |    1 
 stormwindmodel-0.1.2/stormwindmodel/NEWS.md                                                                              |    8 
 stormwindmodel-0.1.2/stormwindmodel/R/boundary_layer_helpers.R                                                           |    2 
 stormwindmodel-0.1.2/stormwindmodel/R/impute_track.R                                                                     |   88 -
 stormwindmodel-0.1.2/stormwindmodel/R/latlon_helpers.R                                                                   |    6 
 stormwindmodel-0.1.2/stormwindmodel/R/map_winds.R                                                                        |    2 
 stormwindmodel-0.1.2/stormwindmodel/R/willoughby2006eqs.R                                                                |    2 
 stormwindmodel-0.1.2/stormwindmodel/build/vignette.rds                                                                   |binary
 stormwindmodel-0.1.2/stormwindmodel/data/landmask.rda                                                                    |binary
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 stormwindmodel-0.1.2/stormwindmodel/inst/doc/Overview.R                                                                  |   36 
 stormwindmodel-0.1.2/stormwindmodel/inst/doc/Overview.html                                                               |  204 ++-
 stormwindmodel-0.1.2/stormwindmodel/man/add_forward_speed.Rd                                                             |    2 
 stormwindmodel-0.1.2/stormwindmodel/man/add_storm_track.Rd                                                               |    9 
 stormwindmodel-0.1.2/stormwindmodel/man/calc_and_summarize_grid_wind.Rd                                                  |   13 
 stormwindmodel-0.1.2/stormwindmodel/man/calc_grid_wind.Rd                                                                |    6 
 stormwindmodel-0.1.2/stormwindmodel/man/create_full_track.Rd                                                             |   13 
 stormwindmodel-0.1.2/stormwindmodel/man/get_grid_winds.Rd                                                                |   12 
 stormwindmodel-0.1.2/stormwindmodel/man/map_wind.Rd                                                                      |   10 
 stormwindmodel-0.1.2/stormwindmodel/man/summarize_grid_wind.Rd                                                           |   10 
 stormwindmodel-0.1.2/stormwindmodel/man/will10c.Rd                                                                       |    2 
 stormwindmodel-0.1.2/stormwindmodel/vignettes/Details.Rmd                                                                |   10 
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 stormwindmodel-0.1.2/stormwindmodel/vignettes/data/with_wind_radii.RData                                                 |binary
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Package stackoverflow updated to version 0.7.0 with previous version 0.3.0 dated 2018-11-25

Title: Stack Overflow's Greatest Hits
Description: Helper functions collected from StackOverflow.com, a question and answer site for professional and enthusiast programmers.
Author: Neal Fultz <nfultz@gmail.com> and the StackOverflow.com community
Maintainer: Neal Fultz <nfultz@gmail.com>

Diff between stackoverflow versions 0.3.0 dated 2018-11-25 and 0.7.0 dated 2020-01-09

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Package sparkavro updated to version 0.3.0 with previous version 0.2.0 dated 2018-11-10

Title: Load Avro file into 'Apache Spark'
Description: Load Avro Files into 'Apache Spark' using 'sparklyr'. This allows to read files from 'Apache Avro' <https://avro.apache.org/>.
Author: Aki Ariga
Maintainer: Aki Ariga <chezou@gmail.com>

Diff between sparkavro versions 0.2.0 dated 2018-11-10 and 0.3.0 dated 2020-01-09

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Package rdflib updated to version 0.2.3 with previous version 0.2.2 dated 2019-01-15

Title: Tools to Manipulate and Query Semantic Data
Description: The Resource Description Framework, or 'RDF' is a widely used data representation model that forms the cornerstone of the Semantic Web. 'RDF' represents data as a graph rather than the familiar data table or rectangle of relational databases. The 'rdflib' package provides a friendly and concise user interface for performing common tasks on 'RDF' data, such as reading, writing and converting between the various serializations of 'RDF' data, including 'rdfxml', 'turtle', 'nquads', 'ntriples', and 'json-ld'; creating new 'RDF' graphs, and performing graph queries using 'SPARQL'. This package wraps the low level 'redland' R package which provides direct bindings to the 'redland' C library. Additionally, the package supports the newer and more developer friendly 'JSON-LD' format through the 'jsonld' package. The package interface takes inspiration from the Python 'rdflib' library.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Bryce Mecum [rev] (<https://orcid.org/0000-0002-0381-3766>), Anna Krystalli [rev] (<https://orcid.org/0000-0002-2378-4915>), Viktor Senderov [ctb] (<https://orcid.org/0000-0003-3340-5963>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package matrixTests updated to version 0.1.8 with previous version 0.1.7 dated 2019-10-19

Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Author: Karolis Koncevičius [aut, cre]
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>

Diff between matrixTests versions 0.1.7 dated 2019-10-19 and 0.1.8 dated 2020-01-09

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Package lazytrade updated to version 0.3.9 with previous version 0.3.8 dated 2019-12-12

Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>

Diff between lazytrade versions 0.3.8 dated 2019-12-12 and 0.3.9 dated 2020-01-09

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Package fdm2id updated to version 0.9.1 with previous version 0.9.0 dated 2019-09-20

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>

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Package divest updated to version 0.8.2 with previous version 0.8.1 dated 2019-05-01

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre], Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between divest versions 0.8.1 dated 2019-05-01 and 0.8.2 dated 2020-01-09

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Package CloneSeeker updated to version 1.0.9 with previous version 1.0.7 dated 2019-05-06

Title: Seeking and Finding Clones in Copy Number and Sequencing Data
Description: Defines the classes and functions used to simulate and to analyze data sets describing copy number variants and, optionally, sequencing mutations in order to detect clonal subsets. See Zucker et al. (2019) <doi:10.1093/bioinformatics/btz057>.
Author: Kevin R. Coombes, Mark Zucker
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between CloneSeeker versions 1.0.7 dated 2019-05-06 and 1.0.9 dated 2020-01-09

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Package circumplex updated to version 0.3.5 with previous version 0.3.4 dated 2019-12-05

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>

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Package bench updated to version 1.1.0 with previous version 1.0.4 dated 2019-09-06

Title: High Precision Timing of R Expressions
Description: Tools to accurately benchmark and analyze execution times for R expressions.
Author: Jim Hester [aut, cre], Drew Schmidt [ctb] (read_proc_file implementation)
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between bench versions 1.0.4 dated 2019-09-06 and 1.1.0 dated 2020-01-09

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Package vistime updated to version 0.9.0 with previous version 0.8.1 dated 2019-03-24

Title: Pretty Timeline Creation
Description: Create interactive timelines or Gantt charts that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps. Hover the mouse pointer over a point or task to show details or drag a rectangle to zoom in. Timelines and their components can afterwards be manipulated using plotly_build(), which transforms the plot into a mutable list.
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <sa.ra.online@posteo.de>

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Package RGISTools updated to version 1.0.0 with previous version 0.9.7 dated 2019-08-27

Title: Handling Multiplatform Satellite Images
Description: Downloading, customizing, and processing time series of satellite images for a region of interest. 'RGISTools' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'RGISTools' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'RGISTools' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).
Author: U Pérez - Goya [aut, cre] <unai.perez@unavarra.es>, M Montesino - SanMartin [aut] <manuel.montesino@unavarra.es>, A F Militino [aut] <militino@unavarra.es>, M D Ugarte [aut] <lola@unavarra.es>
Maintainer: U Perez - Goya <unai.perez@unavarra.es>

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Package maSAE updated to version 1.0.0 with previous version 0.1-5 dated 2016-05-31

Title: Mandallaz' Model-Assisted Small Area Estimators
Description: An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) <DOI:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013) <DOI:10.1139/cjfr-2013-0181> and Mandallaz (2014) <DOI:10.1139/cjfr-2013-0449>. It yields smaller variances than the standard bias correction, the generalised regression estimator.
Author: Andreas Dominik Cullmann [aut, cre], Daniel Mandallaz [ctb], Alexander Francis Massey [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between maSAE versions 0.1-5 dated 2016-05-31 and 1.0.0 dated 2020-01-09

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More information about maSAE at CRAN
Permanent link

Package gbfs updated to version 1.3.1 with previous version 1.3.0 dated 2020-01-07

Title: Interface with General Bikeshare Feed Specification Files
Description: Supplies a set of functions to interface with General Bikeshare Feed Specification .json feeds in R, allowing users to save and accumulate tidy .rds datasets for specified cities/bikeshare programs.
Author: Kaelyn Rosenberg [aut], Simon P. Couch [aut, cre], Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

Diff between gbfs versions 1.3.0 dated 2020-01-07 and 1.3.1 dated 2020-01-09

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Package depmixS4 updated to version 1.4-1 with previous version 1.4-0 dated 2019-07-10

Title: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4
Description: Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>).
Author: Ingmar Visser <i.visser@uva.nl>, Maarten Speekenbrink <m.speekenbrink@ucl.ac.uk>
Maintainer: Ingmar Visser <i.visser@uva.nl>

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Package akmedoids updated to version 0.1.5 with previous version 0.1.2 dated 2019-04-19

Title: Anchored Kmedoids for Longitudinal Data Clustering
Description: Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on either the average silhouette width (Rousseeuw P. J. 1987) or the Calinski-Harabatz criterion (Calinski and Harabatz (1974) <doi:10.1080/03610927408827101>). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) <doi:10.1007/978-3-319-24277-4>). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.
Author: Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]
Maintainer: Monsuru Adepeju <monsuur2010@yahoo.com>

Diff between akmedoids versions 0.1.2 dated 2019-04-19 and 0.1.5 dated 2020-01-09

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Package SSDforR updated to version 1.5.12 with previous version 1.5.10 dated 2019-10-23

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>

Diff between SSDforR versions 1.5.10 dated 2019-10-23 and 1.5.12 dated 2020-01-09

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Package saqgetr updated to version 0.1.19 with previous version 0.1.17 dated 2019-06-28

Title: Import Air Quality Monitoring Data in a Fast and Easy Way
Description: A collection of tools to access prepared air quality monitoring data files from web servers with ease and speed. Air quality data are sourced from open and publicly accessible repositories and can be found in these locations: <https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-8> and <http://discomap.eea.europa.eu/map/fme/AirQualityExport.htm>. The web server space has been provided by Ricardo Energy & Environment.
Author: Stuart K. Grange [cre, aut] (<https://orcid.org/0000-0003-4093-3596>)
Maintainer: Stuart K. Grange <stuart.grange@york.ac.uk>

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Package philentropy updated to version 0.4.0 with previous version 0.3.0 dated 2019-02-13

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

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 vignettes/Introduction.Rmd              |    4 
 19 files changed, 1165 insertions(+), 264 deletions(-)

More information about philentropy at CRAN
Permanent link

Package drtmle updated to version 1.0.5 with previous version 1.0.4 dated 2018-12-18

Title: Doubly-Robust Nonparametric Estimation and Inference
Description: Targeted minimum loss-based estimators of counterfactual means and causal effects that are doubly-robust with respect both to consistency and asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ van der Laan (2014), <doi:10.1515/ijb-2012-0038>).
Author: David Benkeser [aut, cre, cph] (<https://orcid.org/0000-0002-1019-8343>), Nima Hejazi [ctb] (<https://orcid.org/0000-0002-7127-2789>)
Maintainer: David Benkeser <benkeser@emory.edu>

Diff between drtmle versions 1.0.4 dated 2018-12-18 and 1.0.5 dated 2020-01-09

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 drtmle-1.0.5/drtmle/DESCRIPTION                                                                               |   14 
 drtmle-1.0.5/drtmle/LICENSE                                                                                   |    4 
 drtmle-1.0.5/drtmle/MD5                                                                                       |  256 +++-
 drtmle-1.0.5/drtmle/NAMESPACE                                                                                 |    5 
 drtmle-1.0.5/drtmle/NEWS.md                                                                                   |   81 +
 drtmle-1.0.5/drtmle/R/adaptive_iptw.R                                                                         |   18 
 drtmle-1.0.5/drtmle/R/confint.R                                                                               |   78 -
 drtmle-1.0.5/drtmle/R/drtmle.R                                                                                |  543 +++++-----
 drtmle-1.0.5/drtmle/R/estimate.R                                                                              |  139 +-
 drtmle-1.0.5/drtmle/R/fluctuate.R                                                                             |  230 ++--
 drtmle-1.0.5/drtmle/R/sl_npreg.R                                                                              |    6 
 drtmle-1.0.5/drtmle/R/test.R                                                                                  |   76 -
 drtmle-1.0.5/drtmle/R/utils.R                                                                                 |  510 +++++++--
 drtmle-1.0.5/drtmle/build/vignette.rds                                                                        |binary
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 drtmle-1.0.5/drtmle/inst/doc/using_drtmle.Rmd                                                                 |  131 +-
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 drtmle-1.0.5/drtmle/man/SL.npreg.Rd                                                                           |   12 
 drtmle-1.0.5/drtmle/man/adaptive_iptw.Rd                                                                      |   46 
 drtmle-1.0.5/drtmle/man/ci.adaptive_iptw.Rd                                                                   |   35 
 drtmle-1.0.5/drtmle/man/ci.drtmle.Rd                                                                          |   45 
 drtmle-1.0.5/drtmle/man/drtmle.Rd                                                                             |   90 +
 drtmle-1.0.5/drtmle/man/estimateG.Rd                                                                          |   24 
 drtmle-1.0.5/drtmle/man/estimateQ.Rd                                                                          |   18 
 drtmle-1.0.5/drtmle/man/estimateQrn.Rd                                                                        |   17 
 drtmle-1.0.5/drtmle/man/estimategrn.Rd                                                                        |   18 
 drtmle-1.0.5/drtmle/man/extract_models.Rd                                                                     |only
 drtmle-1.0.5/drtmle/man/fluctuateQ.Rd                                                                         |   15 
 drtmle-1.0.5/drtmle/man/fluctuateQ2.Rd                                                                        |   15 
 drtmle-1.0.5/drtmle/man/make_validRows.Rd                                                                     |only
 drtmle-1.0.5/drtmle/man/plot.drtmle.Rd                                                                        |   29 
 drtmle-1.0.5/drtmle/man/predict.SL.npreg.Rd                                                                   |    3 
 drtmle-1.0.5/drtmle/man/reorder_list.Rd                                                                       |only
 drtmle-1.0.5/drtmle/man/tmp_method.CC_LS.Rd                                                                   |only
 drtmle-1.0.5/drtmle/man/tmp_method.CC_nloglik.Rd                                                              |only
 drtmle-1.0.5/drtmle/man/wald_test.adaptive_iptw.Rd                                                            |   36 
 drtmle-1.0.5/drtmle/man/wald_test.drtmle.Rd                                                                   |   44 
 drtmle-1.0.5/drtmle/tests/testthat.R                                                                          |    2 
 drtmle-1.0.5/drtmle/tests/testthat/test-cvtmle.R                                                              |    2 
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 drtmle-1.0.5/drtmle/tests/testthat/test-edge.R                                                                |    2 
 drtmle-1.0.5/drtmle/vignettes/using_drtmle.Rmd                                                                |  131 +-
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Package automl updated to version 1.3.1 with previous version 1.3.0 dated 2019-12-15

Title: Deep Learning with Metaheuristic
Description: Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
Author: Alex Boulangé [aut, cre]
Maintainer: Alex Boulangé <aboul@free.fr>

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Package SCVA updated to version 1.3.1 with previous version 1.3.0 dated 2019-07-25

Title: Single-Case Visual Analysis
Description: Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
Author: Isis Bulte, Tamal Kumar De, Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCVA versions 1.3.0 dated 2019-07-25 and 1.3.1 dated 2020-01-09

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Package rmdplugr updated to version 0.4.1 with previous version 0.4.0 dated 2019-08-03

Title: Plugins for R Markdown Formats
Description: Formats for R Markdown that undo modifications by 'pandoc' and 'rmarkdown' to original 'latex' templates, such as smaller margins, paragraph spacing, and compact titles. In addition, enhancements such as author blocks with affiliations and headers and footers are introduced. All of this functionality is built around plugins that modify the default 'pandoc' template without relying on custom templates.
Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>)
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package RJDemetra updated to version 0.1.4 with previous version 0.1.3 dated 2019-06-26

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

Diff between RJDemetra versions 0.1.3 dated 2019-06-26 and 0.1.4 dated 2020-01-09

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Package rfoaas updated to version 2.1.0 with previous version 2.0.0 dated 2018-08-20

Title: R Interface to 'FOAAS'
Description: R access to the 'FOAAS' (F... Off As A Service) web service is provided.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between rfoaas versions 2.0.0 dated 2018-08-20 and 2.1.0 dated 2020-01-09

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Package rerddapXtracto updated to version 0.4.6 with previous version 0.4.5 dated 2019-10-15

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

Diff between rerddapXtracto versions 0.4.5 dated 2019-10-15 and 0.4.6 dated 2020-01-09

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Package replicateBE updated to version 1.0.13 with previous version 1.0.12 dated 2019-11-11

Title: Average Bioequivalence with Expanding Limits (ABEL)
Description: Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' and 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (Gulf Cooperation Council, South Africa: Cmax) - is implemented as well.
Author: Helmut Schütz [aut, cre] (<https://orcid.org/0000-0002-1167-7880>), Michael Tomashevskiy [ctb], Detlew Labes [ctb] (<https://orcid.org/0000-0003-2169-426X>)
Maintainer: Helmut Schütz <helmut.schuetz@bebac.at>

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Package precrec updated to version 0.11 with previous version 0.10.1 dated 2019-04-12

Title: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description: Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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Package outliertree updated to version 1.1.2 with previous version 1.0.4 dated 2019-09-02

Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Will try to fit decision trees that try to "predict" values for each column based on the values of each other column. Along the way, each time a split is evaluated, it will take the observations that fall into each branch as a homogeneous cluster in which it will search for outliers in the 1-d distribution of the column being predicted. Outliers are determined according to confidence intervals in this 1-d distribution, and need to have a large gap with respect to the next observation in sorted order to be flagged as outliers. Since outliers are searched for in a decision tree branch, it will know the conditions that make it a rare observation compared to others that meet the same conditions, and the conditions will always be correlated with the target variable (as it's being predicted from them). Full procedure is described in Cortes (2020) <arXiv:2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package nzilbb.labbcat updated to version 0.4-1 with previous version 0.3-1 dated 2019-10-28

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20200108.1025 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

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Package neat updated to version 1.2.1 with previous version 1.1.3 dated 2018-02-23

Title: Efficient Network Enrichment Analysis Test
Description: Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in Signorelli et al. (2016, <DOI:10.1186/s12859-016-1203-6>).
Author: Mirko Signorelli, Veronica Vinciotti and Ernst C. Wit
Maintainer: Mirko Signorelli <m.signorelli@lumc.nl>

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Package LexisNexisTools updated to version 0.3.0 with previous version 0.2.3 dated 2019-07-09

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes TXT files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <j.gruber.1@research.gla.ac.uk>

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Package gistr updated to version 0.5.0 with previous version 0.4.2 dated 2018-06-28

Title: Work with 'GitHub' 'Gists'
Description: Work with 'GitHub' 'gists' from 'R' (e.g., <http://en.wikipedia.org/wiki/GitHub#Gist>, <https://help.github.com/articles/about-gists/>). A 'gist' is simply one or more files with code/text/images/etc. This package allows the user to create new 'gists', update 'gists' with new files, rename files, delete files, get and delete 'gists', star and 'un-star' 'gists', fork 'gists', open a 'gist' in your default browser, get embed code for a 'gist', list 'gist' 'commits', and get rate limit information when 'authenticated'. Some requests require authentication and some do not. 'Gists' website: <https://gist.github.com/>.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Ramnath Vaidyanathan [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package crypto updated to version 1.1.3 with previous version 1.1.2 dated 2019-11-18

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

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Package cleanr updated to version 1.3.0 with previous version 1.2.0 dated 2019-03-22

Title: Helps You to Code Cleaner
Description: Check your R code for some of the most common layout flaws. Many tried to teach us how to write code less dreadful, be it implicitly as B. W. Kernighan and D. M. Ritchie (1988) <ISBN:0-13-110362-8> in 'The C Programming Language' did, be it explicitly as R.C. Martin (2008) <ISBN:0-13-235088-2> in 'Clean Code: A Handbook of Agile Software Craftsmanship' did. So we should check our code for files too long or wide, functions with too many lines, too wide lines, too many arguments or too many levels of nesting. Note: This is not a static code analyzer like pylint or the like. Checkout <https://cran.r-project.org/package=lintr> instead.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package YPPE updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-09

Title: Yang and Prentice Model with Piecewise Exponential Baseline Distribution
Description: Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with piecewise exponential baseline distribution. Details about the model can be found in Demarqui and Mayrink (2019) <arXiv:1910.02406>. Model fitting carried out via likelihood-based and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
Author: Fabio Demarqui [aut, cre]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

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Package bbl updated to version 0.3.0 with previous version 0.2.0 dated 2019-10-28

Title: Boltzmann Bayes Learner
Description: Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.
Author: Jun Woo [aut, cre] (<https://orcid.org/0000-0003-3220-2064>), Jinhua Wang [ctb]
Maintainer: Jun Woo <jwoo@umn.edu>

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Package usl updated to version 2.0.0 with previous version 1.8.0 dated 2017-08-07

Title: Analyze System Scalability with the Universal Scalability Law
Description: The Universal Scalability Law (Gunther 2007) <doi:10.1007/978-3-540-31010-5> is a model to predict hardware and software scalability. It uses system capacity as a function of load to forecast the scalability for the system.
Author: Neil J. Gunther [aut], Stefan Moeding [aut, cre]
Maintainer: Stefan Moeding <stm@moeding.net>

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Package tidydice updated to version 0.0.6 with previous version 0.0.4 dated 2019-11-26

Title: Simulates Dice Rolls and Coin Flips
Description: Utils for basic statistical experiments, that can be used for teaching introductory statistics. Each experiment generates a tibble. Dice rolls and coin flips are simulated using sample(). The properties of the dice can be changed, like the number of sides. A coin flip is simulated using a two sided dice. Experiments can be combined with the pipe-operator.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package tidycells updated to version 0.2.2 with previous version 0.2.1 dated 2019-08-27

Title: Read Tabular Data from Diverse Sources and Easily Make Them Tidy
Description: Provides utilities to read, cells from complex tabular data and heuristic detection based 'structural assignment' of those cells to a columnar or tidy format. Read functionality has the ability to read structured, partially structured or unstructured tabular data from various types of documents. The 'structural assignment' functionality has both supervised and unsupervised way of assigning cells data to columnar/tidy format. Multiple disconnected blocks of tables in a single sheet are also handled appropriately. These tools are suitable for unattended conversation of messy tables into a consumable format(usable for further analysis and data wrangling).
Author: Indranil Gayen [aut, cre] (<https://orcid.org/0000-0003-0197-1944>)
Maintainer: Indranil Gayen <nil.gayen@gmail.com>

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Package NACHO updated to version 1.0.0 with previous version 0.6.1 dated 2019-10-12

Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Author: Mickaël Canouil [aut, cre] (<https://orcid.org/0000-0002-3396-4549>), Roderick Slieker [aut] (<https://orcid.org/0000-0003-0961-9152>), Gerard Bouland [aut]
Maintainer: Mickaël Canouil <mickael.canouil@cnrs.fr>

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Package MGMS2 updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-16

Title: 'MGMS2' for Polymicrobial Samples
Description: A glycolipid mass spectrometry technology has the potential to accurately identify individual bacterial species from polymicrobial samples. To develop bacterial identification algorithms (e.g. machine learning) using this glycolipid technology, it is necessary to generate a large number of various in-silico polymicrobial mass spectra that are similar to real mass spectra. 'MGMS2' (Membrane Glycolipid Mass Spectrum Simulator) generates such in-silico mass spectra, considering errors in m/z (mass-to-charge ratio) and variances of intensity values, occasions of missing signature ions, and noise peaks. It estimates summary statistics of monomicrobial mass spectra for each strain or species and simulates polymicrobial glycolipid mass spectra using the summary statistics of monomicrobial mass spectra. References: Ryu, S.Y., Wendt, G.A., Chandler, C.E., Ernst, R.K. and Goodlett, D.R. (2019) <doi:10.1021/acs.analchem.9b03340> "Model-based Spectral Library Approach for Bacterial Identification via Membrane Glycolipids." Gibb, S. and Strimmer, K. (2012) <doi:10.1093/bioinformatics/bts447> "MALDIquant: a versatile R package for the analysis of mass spectrometry data."
Author: So Young Ryu [aut] (<https://orcid.org/0000-0003-2347-7015>), George Wendt [cre] (<https://orcid.org/0000-0003-3608-9601>)
Maintainer: George Wendt <gwendt@unr.edu>

Diff between MGMS2 versions 1.0.0 dated 2019-12-16 and 1.0.1 dated 2020-01-09

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Package DAIME updated to version 2.1 with previous version 2.0 dated 2019-11-01

Title: Effects of Changing Deposition Rates
Description: Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
Author: Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>

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Package ATR updated to version 0.1-1 with previous version 0.1-0 dated 2018-01-09

Title: Alternative Tree Representation
Description: Plot party trees in left-right orientation instead of the classical top-down layout.
Author: Jon Eugster [ctr], Andrea Farnham [ctr], Raphael Hartmann [ctr], Tea Isler [ctr], Gilles Kratzer [ctr], Ke Li [ctr], Silvia Panunzi [ctr], Sophie Schneider [ctr], Craig Wang [ctr], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between ATR versions 0.1-0 dated 2018-01-09 and 0.1-1 dated 2020-01-09

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Package tidyUSDA updated to version 0.2.5 with previous version 0.2.4 dated 2019-11-08

Title: A Minimal Tool Set for Gathering USDA Quick Stat Data for Analysis and Visualization
Description: Provides a consistent API to pull United States Department of Agriculture census and survey data from the National Agricultural Statistics Service (NASS) QuickStats service <https://quickstats.nass.usda.gov>.
Author: Brad Lindblad [aut, cre], Michael Thomas [ctb], Alex Mindeman [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package SYNCSA updated to version 1.3.4 with previous version 1.3.3 dated 2018-03-23

Title: Analysis of Functional and Phylogenetic Patterns in Metacommunities
Description: Analysis of metacommunities based on functional traits and phylogeny of the community components. The functions that are offered here implement for the R environment methods that have been available in the SYNCSA application written in C++ (by Valerio Pillar, available at <http://ecoqua.ecologia.ufrgs.br/SYNCSA.html>).
Author: Vanderlei Julio Debastiani
Maintainer: Vanderlei Julio Debastiani <vanderleidebastiani@yahoo.com.br>

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Package svars updated to version 1.3.3 with previous version 1.3.2 dated 2019-09-10

Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), patterns of GARCH (Normadin, M., Phaneuf, L. (2004) <doi:10.1016/j.jmoneco.2003.11.002>), independent component analysis (Matteson, D. S, Tsay, R. S., (2013) <doi:10.1080/01621459.2016.1150851>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>), smooth transition in variances (Luetkepohl, H., Netsunajev, A. (2017) <doi:10.1016/j.jedc.2017.09.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>)).
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

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Package stapler updated to version 0.7.1 with previous version 0.6.6 dated 2019-03-06

Title: Simultaneous Truth and Performance Level Estimation
Description: An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between stapler versions 0.6.6 dated 2019-03-06 and 0.7.1 dated 2020-01-09

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New package raustats with initial version 0.15.0
Package: raustats
Type: Package
Title: Access Data and Statistics from the ABS and RBA Websites
Description: Functions for downloading Australian economic statistics from the Australian Bureau of Statistics (ABS) (see <https://www.abs.gov.au/>) and Reserve Bank of Australia (RBA) (see <https://www.rba.gov.au/>) websites.
Version: 0.15.0
Date: 2019-12-20
Authors@R: c( person("David", "Mitchell", email = "david.pk.mitchell@gmail.com", role = c("aut", "cre")) )
Maintainer: David Mitchell <david.pk.mitchell@gmail.com>
URL: https://github.com/mitcda/raustats
License: GPL-3
Depends: R (>= 3.3.0), readxl
Imports: stats, dplyr, httr, jsonlite, rvest, tidyr, xml2, lubridate
Suggests: repo, knitr, rmarkdown, testthat, ggplot2
LazyData: TRUE
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2019-12-22 10:42:36 UTC; david
Author: David Mitchell [aut, cre]
Repository: CRAN
Date/Publication: 2020-01-09 18:10:02 UTC

More information about raustats at CRAN
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Package ranger updated to version 0.12.0 with previous version 0.11.2 dated 2019-03-07

Title: A Fast Implementation of Random Forests
Description: A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Author: Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
Maintainer: Marvin N. Wright <cran@wrig.de>

Diff between ranger versions 0.11.2 dated 2019-03-07 and 0.12.0 dated 2020-01-09

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More information about ranger at CRAN
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Package qdap updated to version 2.3.6 with previous version 2.3.2 dated 2019-01-02

Title: Bridging the Gap Between Qualitative Data and Quantitative Analysis
Description: Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.
Author: Tyler Rinker [aut, cre], Bryan Goodrich [ctb], Dason Kurkiewicz [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between qdap versions 2.3.2 dated 2019-01-02 and 2.3.6 dated 2020-01-09

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 man/Animate.formality.Rd                                |  191 +-
 man/Animate.gantt.Rd                                    |   63 
 man/Animate.gantt_plot.Rd                               |   65 
 man/Animate.lexical_classification.Rd                   |  203 +-
 man/Animate.polarity.Rd                                 |  170 +-
 man/DATA.Rd                                             |   46 
 man/DATA.SPLIT.Rd                                       |   54 
 man/DATA2.Rd                                            |   50 
 man/Dissimilarity.Rd                                    |  215 +-
 man/Filter.Rd                                           |  369 ++---
 man/NAer.Rd                                             |   64 
 man/Network.Rd                                          |   36 
 man/Network.formality.Rd                                |   93 -
 man/Network.lexical_classification.Rd                   |   75 -
 man/Network.polarity.Rd                                 |   74 -
 man/Readability.Rd                                      |  421 ++---
 man/Search.Rd                                           |  267 +--
 man/Title.Rd                                            |   38 
 man/Trim.Rd                                             |   44 
 man/Word_Frequency_Matrix.Rd                            |  693 ++++-----
 man/addNetwork.Rd                                       |   30 
 man/add_incomplete.Rd                                   |   66 
 man/add_s.Rd                                            |   54 
 man/adjacency_matrix.Rd                                 |  106 -
 man/all_words.Rd                                        |  153 +-
 man/as.tdm.Rd                                           | 1013 ++++++-------
 man/bag_o_words.Rd                                      |  134 -
 man/beg2char.Rd                                         |  116 -
 man/blank2NA.Rd                                         |   64 
 man/bracketX.Rd                                         |  255 +--
 man/build_qdap_vignette.Rd                              |   64 
 man/capitalizer.Rd                                      |   75 -
 man/chain.Rd                                            |  200 +-
 man/check_spelling.Rd                                   |  409 ++---
 man/check_spelling_interactive.character.Rd             |  118 -
 man/check_spelling_interactive.check_spelling.Rd        |  116 -
 man/check_spelling_interactive.factor.Rd                |  122 -
 man/check_text.Rd                                       |  126 -
 man/chunker.Rd                                          |  220 +--
 man/clean.Rd                                            |   52 
 man/cm_2long.Rd                                         |  174 +-
 man/cm_code.blank.Rd                                    |  235 +--
 man/cm_code.combine.Rd                                  |  164 +-
 man/cm_code.exclude.Rd                                  |  176 +-
 man/cm_code.overlap.Rd                                  |  168 +-
 man/cm_code.transform.Rd                                |  189 +-
 man/cm_combine.dummy.Rd                                 |  131 -
 man/cm_df.fill.Rd                                       |  170 +-
 man/cm_df.temp.Rd                                       |  131 -
 man/cm_df.transcript.Rd                                 |  149 +-
 man/cm_df2long.Rd                                       |  146 +-
 man/cm_distance.Rd                                      |  379 ++---
 man/cm_dummy2long.Rd                                    |  116 -
 man/cm_long2dummy.Rd                                    |  129 -
 man/cm_range.temp.Rd                                    |   77 -
 man/cm_range2long.Rd                                    |  170 +-
 man/cm_time.temp.Rd                                     |  119 -
 man/cm_time2long.Rd                                     |  165 +-
 man/colSplit.Rd                                         |   80 -
 man/colcomb2class.Rd                                    |  149 +-
 man/colsplit2df.Rd                                      |  199 +-
 man/comma_spacer.Rd                                     |   54 
 man/common.Rd                                           |   52 
 man/common.list.Rd                                      |   45 
 man/condense.Rd                                         |   62 
 man/counts.Rd                                           |   52 
 man/counts.SMOG.Rd                                      |   36 
 man/counts.automated_readability_index.Rd               |   34 
 man/counts.character_table.Rd                           |   36 
 man/counts.coleman_liau.Rd                              |   36 
 man/counts.end_mark_by.Rd                               |   36 
 man/counts.flesch_kincaid.Rd                            |   36 
 man/counts.formality.Rd                                 |   36 
 man/counts.fry.Rd                                       |   36 
 man/counts.linsear_write.Rd                             |   36 
 man/counts.object_pronoun_type.Rd                       |   36 
 man/counts.polarity.Rd                                  |   36 
 man/counts.pos.Rd                                       |   36 
 man/counts.pos_by.Rd                                    |   36 
 man/counts.pronoun_type.Rd                              |   36 
 man/counts.question_type.Rd                             |   36 
 man/counts.subject_pronoun_type.Rd                      |   36 
 man/counts.termco.Rd                                    |   36 
 man/counts.word_length.Rd                               |   36 
 man/counts.word_position.Rd                             |   36 
 man/counts.word_stats.Rd                                |   36 
 man/cumulative.Rd                                       |  102 -
 man/data_viewing.Rd                                     |  172 +-
 man/dir_map.Rd                                          |  119 -
 man/discourse_map.Rd                                    |  416 ++---
 man/dispersion_plot.Rd                                  |  412 ++---
 man/dist_tab.Rd                                         |   98 -
 man/diversity.Rd                                        |  130 -
 man/duplicates.Rd                                       |   50 
 man/end_inc.Rd                                          |   72 
 man/end_mark.Rd                                         |  272 +--
 man/env.syl.Rd                                          |   40 
 man/exclude.Rd                                          |  150 +-
 man/formality.Rd                                        |  533 +++----
 man/freq_terms.Rd                                       |  150 +-
 man/gantt.Rd                                            |  256 +--
 man/gantt_plot.Rd                                       |  275 +--
 man/gantt_rep.Rd                                        |  142 +
 man/gantt_wrap.Rd                                       |  306 ++--
 man/gradient_cloud.Rd                                   |  279 ++-
 man/hamlet.Rd                                           |   60 
 man/igraph_params.Rd                                    |   80 -
 man/imperative.Rd                                       |  133 -
 man/incomplete_replace.Rd                               |   70 
 man/inspect_text.Rd                                     |   86 -
 man/is.global.Rd                                        |   76 -
 man/justification.Rd                                    |   88 -
 man/key_merge.Rd                                        |   79 -
 man/kullback_leibler.Rd                                 |   96 -
 man/lexical_classification.Rd                           |  798 +++++-----
 man/mraja1.Rd                                           |   54 
 man/mraja1spl.Rd                                        |   60 
 man/multicsv.Rd                                         |  213 +-
 man/multigsub.Rd                                        |  216 +-
 man/multiscale.Rd                                       |   95 -
 man/name2sex.Rd                                         |   68 
 man/new_project.Rd                                      |  200 +-
 man/ngrams.Rd                                           |  158 +-
 man/object_pronoun_type.Rd                              |  146 +-
 man/outlier_detect.Rd                                   |   82 -
 man/outlier_labeler.Rd                                  |   68 
 man/paste2.Rd                                           |  194 +-
 man/phrase_net.Rd                                       |  196 +-
 man/plot.Network.Rd                                     |   30 
 man/plot.SMOG.Rd                                        |   30 
 man/plot.animated_character.Rd                          |   30 
 man/plot.animated_discourse_map.Rd                      |   30 
 man/plot.animated_formality.Rd                          |   30 
 man/plot.animated_lexical_classification.Rd             |   32 
 man/plot.animated_polarity.Rd                           |   30 
 man/plot.automated_readability_index.Rd                 |   30 
 man/plot.character_table.Rd                             |   68 
 man/plot.cm_distance.Rd                                 |  115 -
 man/plot.cmspans.Rd                                     |   45 
 man/plot.coleman_liau.Rd                                |   30 
 man/plot.combo_syllable_sum.Rd                          |   30 
 man/plot.cumulative_animated_formality.Rd               |   30 
 man/plot.cumulative_animated_lexical_classification.Rd  |   32 
 man/plot.cumulative_animated_polarity.Rd                |   30 
 man/plot.cumulative_combo_syllable_sum.Rd               |   30 
 man/plot.cumulative_end_mark.Rd                         |   30 
 man/plot.cumulative_formality.Rd                        |   30 
 man/plot.cumulative_lexical_classification.Rd           |   30 
 man/plot.cumulative_polarity.Rd                         |   30 
 man/plot.cumulative_syllable_freq.Rd                    |   30 
 man/plot.discourse_map.Rd                               |   30 
 man/plot.diversity.Rd                                   |   30 
 man/plot.end_mark.Rd                                    |   30 
 man/plot.end_mark_by.Rd                                 |   36 
 man/plot.end_mark_by_count.Rd                           |   38 
 man/plot.end_mark_by_preprocessed.Rd                    |   36 
 man/plot.end_mark_by_proportion.Rd                      |   38 
 man/plot.end_mark_by_score.Rd                           |   38 
 man/plot.flesch_kincaid.Rd                              |   30 
 man/plot.formality.Rd                                   |  106 -
 man/plot.formality_scores.Rd                            |   30 
 man/plot.freq_terms.Rd                                  |   40 
 man/plot.gantt.Rd                                       |   44 
 man/plot.kullback_leibler.Rd                            |   34 
 man/plot.lexical.Rd                                     |   61 
 man/plot.lexical_classification.Rd                      |  163 +-
 man/plot.lexical_classification_preprocessed.Rd         |   49 
 man/plot.lexical_classification_score.Rd                |   51 
 man/plot.linsear_write.Rd                               |   38 
 man/plot.linsear_write_count.Rd                         |   30 
 man/plot.linsear_write_scores.Rd                        |   38 
 man/plot.object_pronoun_type.Rd                         |   40 
 man/plot.polarity.Rd                                    |  157 +-
 man/plot.polarity_count.Rd                              |  157 +-
 man/plot.polarity_score.Rd                              |   51 
 man/plot.pos.Rd                                         |   30 
 man/plot.pos_by.Rd                                      |   66 
 man/plot.pos_preprocessed.Rd                            |   30 
 man/plot.pronoun_type.Rd                                |   40 
 man/plot.question_type.Rd                               |   66 
 man/plot.question_type_preprocessed.Rd                  |   30 
 man/plot.readability_count.Rd                           |   34 
 man/plot.readability_score.Rd                           |   59 
 man/plot.rmgantt.Rd                                     |   42 
 man/plot.sent_split.Rd                                  |   46 
 man/plot.subject_pronoun_type.Rd                        |   40 
 man/plot.sum_cmspans.Rd                                 |  112 -
 man/plot.sums_gantt.Rd                                  |   44 
 man/plot.syllable_freq.Rd                               |   30 
 man/plot.table_count.Rd                                 |   42 
 man/plot.table_proportion.Rd                            |   42 
 man/plot.table_score.Rd                                 |   42 
 man/plot.termco.Rd                                      |   66 
 man/plot.type_token_ratio.Rd                            |   30 
 man/plot.weighted_wfm.Rd                                |   75 -
 man/plot.wfdf.Rd                                        |   30 
 man/plot.wfm.Rd                                         |   75 -
 man/plot.word_cor.Rd                                    |   78 -
 man/plot.word_length.Rd                                 |   66 
 man/plot.word_position.Rd                               |   46 
 man/plot.word_proximity.Rd                              |   65 
 man/plot.word_stats.Rd                                  |   44 
 man/plot.word_stats_counts.Rd                           |   34 
 man/polarity.Rd                                         | 1165 ++++++++--------
 man/pos.Rd                                              |  508 +++---
 man/potential_NA.Rd                                     |   64 
 man/power.Rd                                            |   51 
 man/preprocessed.Rd                                     |   52 
 man/preprocessed.check_spelling_interactive.Rd          |   38 
 man/preprocessed.end_mark_by.Rd                         |   36 
 man/preprocessed.formality.Rd                           |   36 
 man/preprocessed.lexical_classification.Rd              |   38 
 man/preprocessed.object_pronoun_type.Rd                 |   36 
 man/preprocessed.pos.Rd                                 |   36 
 man/preprocessed.pos_by.Rd                              |   36 
 man/preprocessed.pronoun_type.Rd                        |   36 
 man/preprocessed.question_type.Rd                       |   36 
 man/preprocessed.subject_pronoun_type.Rd                |   36 
 man/preprocessed.word_position.Rd                       |   36 
 man/pres_debate_raw2012.Rd                              |   38 
 man/pres_debates2012.Rd                                 |   46 
 man/print.Dissimilarity.Rd                              |   34 
 man/print.Network.Rd                                    |  147 +-
 man/print.SMOG.Rd                                       |   34 
 man/print.adjacency_matrix.Rd                           |   30 
 man/print.all_words.Rd                                  |   30 
 man/print.animated_character.Rd                         |   34 
 man/print.animated_discourse_map.Rd                     |   56 
 man/print.animated_formality.Rd                         |   84 -
 man/print.animated_lexical_classification.Rd            |   84 -
 man/print.animated_polarity.Rd                          |   84 -
 man/print.automated_readability_index.Rd                |   36 
 man/print.boolean_qdap.Rd                               |   30 
 man/print.character_table.Rd                            |   55 
 man/print.check_spelling.Rd                             |   30 
 man/print.check_spelling_interactive.Rd                 |   30 
 man/print.check_text.Rd                                 |   44 
 man/print.cm_distance.Rd                                |   89 -
 man/print.coleman_liau.Rd                               |   34 
 man/print.colsplit2df.Rd                                |   30 
 man/print.combo_syllable_sum.Rd                         |   30 
 man/print.cumulative_animated_formality.Rd              |   30 
 man/print.cumulative_animated_lexical_classification.Rd |   32 
 man/print.cumulative_animated_polarity.Rd               |   30 
 man/print.cumulative_combo_syllable_sum.Rd              |   30 
 man/print.cumulative_end_mark.Rd                        |   30 
 man/print.cumulative_formality.Rd                       |   30 
 man/print.cumulative_lexical_classification.Rd          |   30 
 man/print.cumulative_polarity.Rd                        |   30 
 man/print.cumulative_syllable_freq.Rd                   |   30 
 man/print.discourse_map.Rd                              |   40 
 man/print.diversity.Rd                                  |   34 
 man/print.end_mark.Rd                                   |   30 
 man/print.end_mark_by.Rd                                |   30 
 man/print.end_mark_by_preprocessed.Rd                   |   30 
 man/print.flesch_kincaid.Rd                             |   34 
 man/print.formality.Rd                                  |   34 
 man/print.formality_scores.Rd                           |   30 
 man/print.fry.Rd                                        |   58 
 man/print.inspect_text.Rd                               |   40 
 man/print.kullback_leibler.Rd                           |   34 
 man/print.lexical_classification.Rd                     |   32 
 man/print.lexical_classification_by.Rd                  |   49 
 man/print.lexical_classification_preprocessed.Rd        |   30 
 man/print.lexical_classification_score.Rd               |   36 
 man/print.linsear_write.Rd                              |   34 
 man/print.linsear_write_count.Rd                        |   34 
 man/print.linsear_write_scores.Rd                       |   34 
 man/print.ngrams.Rd                                     |   30 
 man/print.object_pronoun_type.Rd                        |   30 
 man/print.phrase_net.Rd                                 |   34 
 man/print.polarity.Rd                                   |   34 
 man/print.polarity_count.Rd                             |   34 
 man/print.polarity_score.Rd                             |   34 
 man/print.polysyllable_sum.Rd                           |   30 
 man/print.pos.Rd                                        |   53 
 man/print.pos_by.Rd                                     |   53 
 man/print.pos_preprocessed.Rd                           |   30 
 man/print.pronoun_type.Rd                               |   30 
 man/print.qdapProj.Rd                                   |   30 
 man/print.qdap_context.Rd                               |   73 -
 man/print.question_type.Rd                              |   30 
 man/print.question_type_preprocessed.Rd                 |   30 
 man/print.readability_count.Rd                          |   34 
 man/print.readability_score.Rd                          |   34 
 man/print.sent_split.Rd                                 |   30 
 man/print.sub_holder.Rd                                 |   30 
 man/print.subject_pronoun_type.Rd                       |   30 
 man/print.sum_cmspans.Rd                                |   36 
 man/print.sums_gantt.Rd                                 |   30 
 man/print.syllable_sum.Rd                               |   30 
 man/print.table_count.Rd                                |   30 
 man/print.table_proportion.Rd                           |   30 
 man/print.table_score.Rd                                |   30 
 man/print.termco.Rd                                     |   53 
 man/print.trunc.Rd                                      |   30 
 man/print.type_token_ratio.Rd                           |   34 
 man/print.wfm.Rd                                        |   42 
 man/print.wfm_summary.Rd                                |   30 
 man/print.which_misspelled.Rd                           |   30 
 man/print.word_associate.Rd                             |   30 
 man/print.word_cor.Rd                                   |   34 
 man/print.word_length.Rd                                |   30 
 man/print.word_list.Rd                                  |   30 
 man/print.word_position.Rd                              |   30 
 man/print.word_proximity.Rd                             |   34 
 man/print.word_stats.Rd                                 |   36 
 man/print.word_stats_counts.Rd                          |   30 
 man/pronoun_type.Rd                                     |  186 +-
 man/prop.Rd                                             |   84 -
 man/proportions.Rd                                      |   52 
 man/proportions.character_table.Rd                      |   36 
 man/proportions.end_mark_by.Rd                          |   36 
 man/proportions.formality.Rd                            |   36 
 man/proportions.object_pronoun_type.Rd                  |   36 
 man/proportions.pos.Rd                                  |   36 
 man/proportions.pos_by.Rd                               |   36 
 man/proportions.pronoun_type.Rd                         |   36 
 man/proportions.question_type.Rd                        |   36 
 man/proportions.subject_pronoun_type.Rd                 |   36 
 man/proportions.termco.Rd                               |   36 
 man/proportions.word_length.Rd                          |   36 
 man/proportions.word_position.Rd                        |   36 
 man/qcombine.Rd                                         |   94 -
 man/qcv.Rd                                              |  117 -
 man/qdap.Rd                                             |   35 
 man/qdap_df.Rd                                          |  218 +-
 man/qheat.Rd                                            |  458 ++++--
 man/qprep.Rd                                            |  143 +
 man/qtheme.Rd                                           |  480 +++---
 man/question_type.Rd                                    |  272 +--
 man/raj.Rd                                              |   50 
 man/raj.act.1.Rd                                        |   46 
 man/raj.act.1POS.Rd                                     |   74 -
 man/raj.act.2.Rd                                        |   46 
 man/raj.act.3.Rd                                        |   46 
 man/raj.act.4.Rd                                        |   46 
 man/raj.act.5.Rd                                        |   46 
 man/raj.demographics.Rd                                 |   54 
 man/rajPOS.Rd                                           |   54 
 man/rajSPLIT.Rd                                         |   60 
 man/random_data.Rd                                      |  146 +-
 man/rank_freq_plot.Rd                                   |  248 +--
 man/raw.time.span.Rd                                    |   26 
 man/read.transcript.Rd                                  |  309 ++--
 man/replace_abbreviation.Rd                             |  115 -
 man/replace_contraction.Rd                              |  106 -
 man/replace_number.Rd                                   |  106 -
 man/replace_ordinal.Rd                                  |   90 -
 man/replace_symbol.Rd                                   |  109 -
 man/replacer.Rd                                         |   66 
 man/rm_row.Rd                                           |  127 -
 man/rm_stopwords.Rd                                     |  198 +-
 man/sample.time.span.Rd                                 |   48 
 man/scores.Rd                                           |   54 
 man/scores.SMOG.Rd                                      |   36 
 man/scores.automated_readability_index.Rd               |   38 
 man/scores.character_table.Rd                           |   36 
 man/scores.coleman_liau.Rd                              |   36 
 man/scores.end_mark_by.Rd                               |   36 
 man/scores.flesch_kincaid.Rd                            |   36 
 man/scores.formality.Rd                                 |   36 
 man/scores.fry.Rd                                       |   36 
 man/scores.lexical_classification.Rd                    |   38 
 man/scores.linsear_write.Rd                             |   36 
 man/scores.object_pronoun_type.Rd                       |   36 
 man/scores.polarity.Rd                                  |   36 
 man/scores.pos_by.Rd                                    |   36 
 man/scores.pronoun_type.Rd                              |   36 
 man/scores.question_type.Rd                             |   36 
 man/scores.subject_pronoun_type.Rd                      |   36 
 man/scores.termco.Rd                                    |   36 
 man/scores.word_length.Rd                               |   36 
 man/scores.word_position.Rd                             |   36 
 man/scores.word_stats.Rd                                |   36 
 man/scrubber.Rd                                         |   90 -
 man/sentSplit.Rd                                        |  326 ++--
 man/space_fill.Rd                                       |  117 -
 man/spaste.Rd                                           |   62 
 man/speakerSplit.Rd                                     |   92 -
 man/stemmer.Rd                                          |  162 +-
 man/strWrap.Rd                                          |   76 -
 man/strip.Rd                                            |  145 +
 man/subject_pronoun_type.Rd                             |  144 +
 man/summary.cmspans.Rd                                  |  217 +-
 man/summary.wfdf.Rd                                     |   58 
 man/summary.wfm.Rd                                      |   58 
 man/syllabication.Rd                                    |  191 +-
 man/synonyms.Rd                                         |  168 +-
 man/t.DocumentTermMatrix.Rd                             |   30 
 man/t.TermDocumentMatrix.Rd                             |   30 
 man/termco.Rd                                           |  648 ++++----
 man/termco_c.Rd                                         |  110 -
 man/tot_plot.Rd                                         |  204 +-
 man/trans_cloud.Rd                                      |  348 ++--
 man/trans_context.Rd                                    |  169 +-
 man/trans_venn.Rd                                       |  178 +-
 man/type_token_ratio.Rd                                 |   68 
 man/unique_by.Rd                                        |   62 
 man/visual.Rd                                           |   52 
 man/visual.discourse_map.Rd                             |   36 
 man/weight.Rd                                           |   66 
 man/word_associate.Rd                                   |  469 +++---
 man/word_cor.Rd                                         |  295 ++--
 man/word_count.Rd                                       |  382 ++---
 man/word_diff_list.Rd                                   |  149 +-
 man/word_length.Rd                                      |  170 +-
 man/word_list.Rd                                        |  158 +-
 man/word_network_plot.Rd                                |  289 ++-
 man/word_position.Rd                                    |  312 ++--
 man/word_proximity.Rd                                   |  177 +-
 man/word_stats.Rd                                       |  288 ++-
 tests/testthat/test-as.tdm.R                            |   39 
 470 files changed, 21216 insertions(+), 19952 deletions(-)

More information about qdap at CRAN
Permanent link

Package prettyunits updated to version 1.1.0 with previous version 1.0.2 dated 2015-07-12

Title: Pretty, Human Readable Formatting of Quantities
Description: Pretty, human readable formatting of quantities. Time intervals: 1337000 -> 15d 11h 23m 20s. Vague time intervals: 2674000 -> about a month ago. Bytes: 1337 -> 1.34 kB.
Author: Gabor Csardi
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between prettyunits versions 1.0.2 dated 2015-07-12 and 1.1.0 dated 2020-01-09

 prettyunits-1.0.2/prettyunits/R/pretty-package.r          |only
 prettyunits-1.0.2/prettyunits/R/sizes.r                   |only
 prettyunits-1.0.2/prettyunits/R/time-ago.r                |only
 prettyunits-1.0.2/prettyunits/R/time.r                    |only
 prettyunits-1.0.2/prettyunits/R/utils.r                   |only
 prettyunits-1.0.2/prettyunits/inst                        |only
 prettyunits-1.1.0/prettyunits/DESCRIPTION                 |   11 +-
 prettyunits-1.1.0/prettyunits/MD5                         |   38 ++++----
 prettyunits-1.1.0/prettyunits/NAMESPACE                   |    7 -
 prettyunits-1.1.0/prettyunits/NEWS.md                     |only
 prettyunits-1.1.0/prettyunits/R/pretty-package.R          |only
 prettyunits-1.1.0/prettyunits/R/sizes.R                   |only
 prettyunits-1.1.0/prettyunits/R/time-ago.R                |only
 prettyunits-1.1.0/prettyunits/R/time.R                    |only
 prettyunits-1.1.0/prettyunits/R/utils.R                   |only
 prettyunits-1.1.0/prettyunits/R/xsizes-docs.R             |only
 prettyunits-1.1.0/prettyunits/README.md                   |only
 prettyunits-1.1.0/prettyunits/man/pretty_bytes.Rd         |   37 ++++++--
 prettyunits-1.1.0/prettyunits/man/pretty_dt.Rd            |   11 +-
 prettyunits-1.1.0/prettyunits/man/pretty_ms.Rd            |   11 +-
 prettyunits-1.1.0/prettyunits/man/pretty_sec.Rd           |   11 +-
 prettyunits-1.1.0/prettyunits/man/prettyunits.Rd          |    6 -
 prettyunits-1.1.0/prettyunits/man/time_ago.Rd             |    5 -
 prettyunits-1.1.0/prettyunits/man/vague_dt.Rd             |    5 -
 prettyunits-1.1.0/prettyunits/tests/testthat/test-bytes.r |   61 +++++++++++++-
 prettyunits-1.1.0/prettyunits/tests/testthat/test-ms.r    |   13 ++
 26 files changed, 149 insertions(+), 67 deletions(-)

More information about prettyunits at CRAN
Permanent link

Package netmeta updated to version 1.2-0 with previous version 1.1-0 dated 2019-08-07

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - league table with network meta-analysis results; - additive network meta-analysis for combinations of treatments (Rücker et al., 2019) <DOI:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>; - automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>.
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between netmeta versions 1.1-0 dated 2019-08-07 and 1.2-0 dated 2020-01-09

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More information about netmeta at CRAN
Permanent link

New package mbsts with initial version 1.0
Package: mbsts
Type: Package
Title: Multivariate Bayesian Structural Time Series
Version: 1.0
Author: Jinwen Qiu <qjwsnow_ctw@hotmail.com>
Maintainer: Jinwen Qiu <qjwsnow_ctw@hotmail.com>
Description: Multivariate time series regression using dynamic linear models fit by MCMC. See Qiu, Jammalamadaka and Ning (2018) <http://www.jmlr.org/papers/volume19/18-009/18-009.pdf>.
License: LGPL-2.1
NeedsCompilation: no
Depends: pscl, MASS, KFAS, MCMCpack, Matrix, R(>= 3.5)
Repository: CRAN
Date: 2020-01-07
Packaged: 2020-01-08 03:05:45 UTC; william
Date/Publication: 2020-01-09 18:10:05 UTC

More information about mbsts at CRAN
Permanent link

Package LINselect updated to version 1.1.2 with previous version 1.1.1 dated 2019-03-07

Title: Selection of Linear Estimators
Description: Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
Author: Yannick Baraud, Christophe Giraud, Sylvie Huet
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

Diff between LINselect versions 1.1.1 dated 2019-03-07 and 1.1.2 dated 2020-01-09

 DESCRIPTION |   18 +++++++++---------
 MD5         |    2 +-
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More information about LINselect at CRAN
Permanent link

Package billboarder updated to version 0.2.8 with previous version 0.2.7 dated 2019-08-21

Title: Create Interactive Chart with the JavaScript 'Billboard' Library
Description: Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], NAVER Corp [cph] (billboard.js library), Mike Bostock [cph] (d3.format library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Permanent link

Package rFIA updated to version 0.2.0 with previous version 0.1.1 dated 2019-11-12

Title: Space-Time Estimation of Forest Variables using the FIA Database
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatio-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has been validated against estimates and sampling errors produced by FIA 'EVALIDator'. Current development is focused on the implementation of spatially-enabled model-assisted estimators to improve population, change, and ratio estimates.
Author: Hunter Stanke [aut, cre], Andrew Finley [aut]
Maintainer: Hunter Stanke <stankehu@msu.edu>

Diff between rFIA versions 0.1.1 dated 2019-11-12 and 0.2.0 dated 2020-01-09

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More information about rFIA at CRAN
Permanent link

New package riceidconverter with initial version 1.0.5
Package: riceidconverter
Type: Package
Title: Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa
Version: 1.0.5
Author: Xiang LI
Maintainer: Xiang LI <ynaulx@gmail.com>
Description: Convert one biological ID to another of rice (Oryza sativa). Rice(Oryza sativa) has more than one form gene ID for the genome. The two main gene ID for rice genome are the RAP (The Rice Annotation Project, <https://rapdb.dna.affrc.go.jp/>, and the MSU(The Rice Genome Annotation Project, <http://rice.plantbiology.msu.edu/>. All RAP rice gene IDs are of the form Os##g####### as explained on the website <https://rapdb.dna.affrc.go.jp/>. All MSU rice gene IDs are of the form LOC_Os##g##### as explained on the website <http://rice.plantbiology.msu.edu/analyses_nomenclature.shtml>. All SYMBOL rice gene IDs are the unique name on the NCBI(National Center for Biotechnology Information, <https://www.ncbi.nlm.nih.gov/>. The TRANSCRIPTID, is the transcript id of rice, are of the form Os##t#######. The researchers usually need to converter between various IDs. Such as converter RAP to SYMBOLS for function searching on NCBI. There are a lot of websites with the function for converting RAP to MSU or MSU to RA, such as 'ID Converter' <https://rapdb.dna.affrc.go.jp/tools/converter>. But it is difficult to convert super multiple IDs on these websites. The package can convert all IDs between the three IDs (RAP, MSU and SYMBOL) regardless of the number.
Depends: R (>= 3.5.0)
Imports: dplyr
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-08 00:47:12 UTC; xiang
Repository: CRAN
Date/Publication: 2020-01-09 17:50:02 UTC

More information about riceidconverter at CRAN
Permanent link

Package rcompanion updated to version 2.3.21 with previous version 2.3.7 dated 2019-09-29

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre] (<https://orcid.org/0000-0003-4668-6821>)
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.3.7 dated 2019-09-29 and 2.3.21 dated 2020-01-09

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 109 files changed, 6364 insertions(+), 5505 deletions(-)

More information about rcompanion at CRAN
Permanent link

Package multinet updated to version 3.2 with previous version 3.1.0 dated 2019-10-23

Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks.
Author: Matteo Magnani, Davide Vega, Mikael Dubik (glouvain). The package uses functions from eclat (www.borgelt.net/eclat.html), for association rule mining, Eigen (eigen.tuxfamily.org) and spectra (https://spectralib.org), for matrix manipulation, Infomap (www.mapequation.org), for the Infomap community detection method, and Howard Hinnant's date and time library (https://github.com/HowardHinnant/date). The code from these libraries has been included in our source package.
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

Diff between multinet versions 3.1.0 dated 2019-10-23 and 3.2 dated 2020-01-09

 multinet-3.1.0/multinet/src/multinet/mnet/community/MLCPMCommunity.hpp                                |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/PillarCommunity.hpp                               |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/VertexLayerCommunity.hpp                          |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/abacus.hpp                                        |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/glouvain.cpp                                      |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/glouvain.hpp                                      |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/infomap.hpp                                       |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/lart.hpp                                          |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/ml-cpm.hpp                                        |only
 multinet-3.1.0/multinet/src/multinet/mnet/community/normalized_mutual_information.hpp                 |only
 multinet-3.1.0/multinet/src/multinet/net/datastructures/stores2/AttributeStore_todel.hpp              |only
 multinet-3.1.0/multinet/src/multinet/net/datastructures/stores2/AttributedMultiEdgeStore_todel.hpp    |only
 multinet-3.1.0/multinet/src/multinet/net/datastructures/stores2/AttributedSimpleEdgeStore_todel.hpp   |only
 multinet-3.1.0/multinet/src/multinet/net/datastructures/stores2/AttributedVertexStore_todel.hpp       |only
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 multinet-3.2/multinet/DESCRIPTION                                                                     |   13 
 multinet-3.2/multinet/MD5                                                                             |  165 +-
 multinet-3.2/multinet/NEWS                                                                            |   17 
 multinet-3.2/multinet/R/igraph.R                                                                      |   20 
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 multinet-3.2/multinet/man/Manipulation.Rd                                                             |    2 
 multinet-3.2/multinet/src/Makevars                                                                    |    4 
 multinet-3.2/multinet/src/Makevars.win                                                                |    4 
 multinet-3.2/multinet/src/eclat/tract/src/tract.c                                                     |    7 
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 multinet-3.2/multinet/src/multinet/core/datastructures/containers/LabeledUniquePtrSortedRandomSet.hpp |    2 
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 multinet-3.2/multinet/src/multinet/core/utils/string.cpp                                              |   15 
 multinet-3.2/multinet/src/multinet/core/utils/string.hpp                                              |    8 
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 multinet-3.2/multinet/src/multinet/io/read_temporal_network.cpp                                       |    2 
 multinet-3.2/multinet/src/multinet/io/write_multilayer_network.hpp                                    |  344 ++++-
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 multinet-3.2/multinet/src/multinet/measures/betweenness.ipp                                           |only
 multinet-3.2/multinet/src/multinet/mnet/community/cutils.hpp                                          |    2 
 multinet-3.2/multinet/src/multinet/mnet/community/infomap_utils.hpp                                   |    2 
 multinet-3.2/multinet/src/multinet/mnet/datastructures/stores/AttributeStoreWrapper.hpp               |    2 
 multinet-3.2/multinet/src/multinet/mnet/datastructures/stores/Attributes.hpp                          |    4 
 multinet-3.2/multinet/src/multinet/mnet/io/MultilayerIOFileSection.hpp                                |    3 
 multinet-3.2/multinet/src/multinet/mnet/io/MultilayerMetadata.hpp                                     |    5 
 multinet-3.2/multinet/src/multinet/mnet/io/read_common.cpp                                            |  142 +-
 multinet-3.2/multinet/src/multinet/mnet/io/read_common.hpp                                            |   24 
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/ECube.cpp                                  |  478 +++----
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/ECube.hpp                                  |  136 +-
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/VCube.cpp                                  |  623 +++++-----
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/VCube.hpp                                  |  164 +-
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/resize.cpp                                 |   20 
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/resize.hpp                                 |   98 -
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/slice.cpp                                  |   40 
 multinet-3.2/multinet/src/multinet/net/datastructures/olap/slice.hpp                                  |   34 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/AttrMultiEdgeStore.cpp                   |    4 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/AttrMultiEdgeStore.hpp                   |    2 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/AttrSimpleEdgeStore.cpp                  |    4 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/AttrSimpleEdgeStore.hpp                  |    2 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/EdgeStore.cpp                            |    2 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/MDEdgeStore.hpp                          |   40 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/MDSimpleEdgeStore.hpp                    |   22 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/SimpleEdgeStore.cpp                      |   38 
 multinet-3.2/multinet/src/multinet/net/datastructures/stores/SimpleEdgeStore.hpp                      |    4 
 multinet-3.2/multinet/src/multinet/net/io/read_common.cpp                                             |    6 
 multinet-3.2/multinet/src/multinet/net/io/read_common.hpp                                             |   88 -
 multinet-3.2/multinet/src/multinet/networks/MultiNetwork.cpp                                          |    2 
 multinet-3.2/multinet/src/multinet/networks/MultiNetwork.hpp                                          |    4 
 multinet-3.2/multinet/src/multinet/networks/Network.cpp                                               |    2 
 multinet-3.2/multinet/src/multinet/networks/Network.hpp                                               |    2 
 multinet-3.2/multinet/src/multinet/networks/TemporalNetwork.cpp                                       |   50 
 multinet-3.2/multinet/src/multinet/networks/TemporalNetwork.hpp                                       |   10 
 multinet-3.2/multinet/src/multinet/networks/WeightedNetwork.cpp                                       |   50 
 multinet-3.2/multinet/src/multinet/networks/WeightedNetwork.hpp                                       |   12 
 multinet-3.2/multinet/src/multinet/objects/InterlayerEdge.hpp                                         |    4 
 multinet-3.2/multinet/src/multinet/olap/datastructures/CCube.hpp                                      |  220 +--
 multinet-3.2/multinet/src/multinet/olap/datastructures/NCube.hpp                                      |  110 -
 multinet-3.2/multinet/src/multinet/olap/operators/slice.hpp                                           |    8 
 multinet-3.2/multinet/src/multinet/olap/selection/EntryIterator.hpp                                   |    6 
 multinet-3.2/multinet/src/multinet/olap/selection/IndexIterator.cpp                                   |   31 
 multinet-3.2/multinet/src/multinet/olap/selection/IndexIterator.hpp                                   |    4 
 multinet-3.2/multinet/src/multinet/operations/test.hpp                                                |   15 
 multinet-3.2/multinet/src/multinet/operations/test.ipp                                                |only
 multinet-3.2/multinet/src/multinet/xnet/datastructures/stores/MessageStore.hpp                        |   20 
 multinet-3.2/multinet/src/r_functions.cpp                                                             |  314 +++--
 multinet-3.2/multinet/src/rcpp_utils.cpp                                                              |   22 
 multinet-3.2/multinet/src/rcpp_utils.h                                                                |    4 
 101 files changed, 2184 insertions(+), 1573 deletions(-)

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New package PenIC with initial version 1.0.0
Package: PenIC
Type: Package
Version: 1.0.0
Title: Semiparametric Regression Analysis of Interval-Censored Data using Penalized Splines
Authors@R: c(person("Yan", "Liu", email = "yanliuresearch@gmail.com", role = c("aut","cre")), person("Minggen", "Lu", role = "aut"))
Maintainer: Yan Liu <yanliuresearch@gmail.com>
Description: Currently incorporate the generalized odds-rate model (a type of linear transformation model) for interval-censored data based on penalized monotonic B-Spline. More methods under other semiparametric models such as cure model or additive model will be included in future versions. For more details see Lu, M., Liu, Y., Li, C. and Sun, J. (2019) <arXiv:1912.11703>.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
Imports: stats, numDeriv, splines, Matrix, MASS
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-01-07 21:41:37 UTC; yliu23
Author: Yan Liu [aut, cre], Minggen Lu [aut]
Repository: CRAN
Date/Publication: 2020-01-09 16:40:07 UTC

More information about PenIC at CRAN
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New package mudata2 with initial version 1.1.0
Package: mudata2
Title: Interchange Tools for Multi-Parameter Spatiotemporal Data
Version: 1.1.0
Authors@R: person("Dewey", "Dunnington", email = "dewey@fishandwhistle.net", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9415-4582") )
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Description: Formatting and structuring multi-parameter spatiotemporal data is often a time-consuming task. This package offers functions and data structures designed to easily organize and visualize these data for applications in geology, paleolimnology, dendrochronology, and paleoclimate. See Dunnington and Spooner (2018) <doi:10.1139/facets-2017-0026>.
Imports: ggplot2, dplyr (>= 0.7), jsonlite (>= 1.2), tibble, magrittr, stringr, readr, tidyr, lubridate, rlang, tidyselect, withr, glue, fs
Depends: R (>= 3.2.0)
Suggests: testthat (>= 2.1.0), RSQLite, dbplyr, sf (>= 0.5.5), covr, hms, knitr, rmarkdown
License: GPL-2
URL: https://paleolimbot.github.io/mudata2, https://github.com/paleolimbot/mudata2
BugReports: https://github.com/paleolimbot/mudata2/issues
LazyData: true
RoxygenNote: 7.0.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-08 15:21:10 UTC; dewey
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>)
Repository: CRAN
Date/Publication: 2020-01-09 16:50:02 UTC

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Package mkin updated to version 0.9.49.8 with previous version 0.9.49.7 dated 2019-11-02

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers and a choice of the optimisation methods made available by the 'FME' package. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using compiled C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between mkin versions 0.9.49.7 dated 2019-11-02 and 0.9.49.8 dated 2020-01-09

 DESCRIPTION                      |    8 ++--
 MD5                              |   75 ++++++++++++++++++++-------------------
 NAMESPACE                        |   10 +++++
 NEWS.md                          |   14 ++++++-
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 R/residuals.mkinfit.R            |    2 -
 R/sigma_twocomp.R                |    2 -
 R/update.mkinfit.R               |    8 +++-
 README.md                        |   47 ++++++++++++++++--------
 build/vignette.rds               |binary
 inst/doc/FOCUS_D.html            |   14 +++----
 inst/doc/FOCUS_L.html            |   74 +++++++++++++++++++-------------------
 inst/doc/mkin.html               |    4 +-
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 tests/testthat/FOCUS_2006_D.csf  |    2 -
 tests/testthat/setup_script.R    |   10 ++---
 tests/testthat/test_SFORB.R      |    2 -
 tests/testthat/test_aw.R         |only
 tests/testthat/test_confidence.R |    7 ++-
 tests/testthat/test_tests.R      |   23 ++++++++++-
 41 files changed, 427 insertions(+), 250 deletions(-)

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Package lqr updated to version 2.0 with previous version 1.7 dated 2018-02-01

Title: Robust Linear Quantile Regression
Description: It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Bottai et.al.(2009) <doi:10.1002/sim.3781>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.
Author: Christian E. Galarza, Luis Benites, Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

Diff between lqr versions 1.7 dated 2018-02-01 and 2.0 dated 2020-01-09

 DESCRIPTION           |   12 ++++++------
 MD5                   |   26 +++++++++++++++-----------
 NAMESPACE             |    4 ++--
 R/EMonly.R            |   13 ++++++-------
 R/Egig.R              |only
 R/bestlqr.R           |   20 +++++++-------------
 R/bestlqrrange.R      |only
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 man/dist.Truncated.Rd |    3 ++-
 man/logbestlqr.Rd     |   13 +++++++------
 man/loglqr.Rd         |   14 +++++++-------
 man/lqr-package.Rd    |    4 ++--
 man/resistence.Rd     |    3 ++-
 16 files changed, 59 insertions(+), 58 deletions(-)

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New package mcp with initial version 0.2.0
Package: mcp
Title: Regression with Multiple Change Points
Version: 0.2.0
Date: 2020-01-02
URL: http://lindeloev.github.io/mcp/, https://github.com/lindeloev/mcp
BugReports: https://github.com/lindeloev/mcp/issues
Authors@R: person(given = "Jonas Kristoffer", family = "Lindeløv", role = c("aut", "cre"), email = "jonas@lindeloev.dk", comment = c(ORCID = "0000-0003-4565-0595"))
Description: Flexible and informed regression with Multiple Change Points (MCP). 'mcp' can infer change points in means, variances, autocorrelation structure, and any combination of these, as well as the parameters of the segments in between. All parameters are estimated with uncertainty and prediction intervals are supported - also near the change points. 'mcp' supports hypothesis testing via Savage-Dickey density ratio, posterior contrasts, and cross-validation. 'mcp' provides a generalization of the approach described in Carlin, Gelfand, & Smith (1992) <doi:10.2307/2347570> and Stephens (1994) <doi:10.2307/2986119>.
License: GPL-2
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.5.0)
Imports: parallel, future, future.apply, rjags (>= 4.9), coda (>= 0.19.3), loo (>= 2.1.0), bayesplot (>= 1.7.0), tidybayes (>= 1.1.0), dplyr (>= 0.8.3), magrittr (>= 1.5), tidyr (>= 1.0.0), tidyselect (>= 0.2.5), purrr (>= 0.3.3), tibble (>= 2.1.3), stringr (>= 1.4.0), ggplot2 (>= 3.2.1), patchwork (>= 1.0.0), methods, stats, rlang (>= 0.4.1)
Suggests: hexbin, testthat (>= 2.1.0), knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2020-01-07 21:14:32 UTC; jonas
Author: Jonas Kristoffer Lindeløv [aut, cre] (<https://orcid.org/0000-0003-4565-0595>)
Maintainer: Jonas Kristoffer Lindeløv <jonas@lindeloev.dk>
Repository: CRAN
Date/Publication: 2020-01-09 16:30:02 UTC

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Package imagefluency updated to version 0.2.3 with previous version 0.2.2 dated 2019-12-12

Title: Image Statistics Based on Processing Fluency
Description: Get image statistics based on processing fluency theory. The functions provide scores for several basic aesthetic principles that facilitate fluent cognitive processing of images: contrast, complexity / simplicity, self-similarity, symmetry, and typicality. See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.
Author: Stefan Mayer [aut, cre] (<https://orcid.org/0000-0003-0034-7090>)
Maintainer: Stefan Mayer <stefan@mayer-de.com>

Diff between imagefluency versions 0.2.2 dated 2019-12-12 and 0.2.3 dated 2020-01-09

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Permanent link

New package FABInference with initial version 0.1
Package: FABInference
Title: FAB p-Values and Confidence Intervals
Version: 0.1
Description: Frequentist assisted by Bayes (FAB) p-values and confidence interval construction. See Hoff (2019) <arXiv:1907.12589> "Smaller p-values via indirect information", Hoff and Yu (2019) <doi:10.1214/18-EJS1517> "Exact adaptive confidence intervals for linear regression coefficients", and Yu and Hoff (2018) <doi:10.1093/biomet/asy009> "Adaptive multigroup confidence intervals with constant coverage".
Date: 2019-12-27
Author: Peter Hoff
Maintainer: Peter Hoff <peter.hoff@duke.edu>
License: GPL-3
Imports: MASS
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-28 00:37:01 UTC; pdhoff
Repository: CRAN
Date/Publication: 2020-01-09 17:00:06 UTC

More information about FABInference at CRAN
Permanent link

New package codebook with initial version 0.8.2
Package: codebook
Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Version: 0.8.2
Authors@R: person("Ruben", "Arslan", email = "ruben.arslan@gmail.com", role = c("aut", "cre"))
Depends: R (>= 3.0.1)
Language: en_GB
URL: https://github.com/rubenarslan/codebook
BugReports: https://github.com/rubenarslan/codebook/issues
License: MIT + file LICENSE
Imports: stats, methods, graphics, utils, rmarkdown, forcats (>= 0.4.0), ggplot2 (>= 2.0.0), stringr, psych, likert, knitr, rlang, dplyr, tidyr, tidyselect, pander, skimr (>= 2.0.0), DT, jsonlite, future, haven (>= 2.0.0), tibble, purrr, htmltools, labeling, labelled, rio, shiny (>= 0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5), glue, lubridate, userfriendlyscience
Suggests: testthat, shinytest, lme4, roxygen2, renv, webshot
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-08 13:25:10 UTC; rubenarslan
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-09 16:20:07 UTC

More information about codebook at CRAN
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New package pcts with initial version 0.14-3
Package: pcts
Type: Package
Title: Periodically Correlated and Periodically Integrated Time Series
Description: Classes and methods for modelling and simulation of periodically correlated (PC) and periodically integrated time series. Compute theoretical periodic autocovariances and related properties of PC autoregressive moving average models. Some original methods including Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996) <doi:10.1111/j.1467-9892.1996.tb00281.x>.
Version: 0.14-3
Date: 2020-01-07
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Depends: R (>= 3.5.0), sarima
Imports: methods, Matrix, BB, PolynomF (>= 2.0-2), gbutils, zoo, ltsa, stats4, lagged (>= 0.2.2), mcompanion, Rdpack (>= 0.9), lubridate
Suggests: testthat, pear, fUnitRoots, partsm
RdMacros: Rdpack
LazyData: yes
URL: https://geobosh.github.io/pcts https://github.com/GeoBosh/pcts
BugReports: https://github.com/GeoBosh/pcts/issues
License: GPL (>= 2)
Collate: utils.R test1.r PeriodicCalc.R pcstat.R pc00smallutil.r pc02filters.r pc03simu.r acfsums.R pcls.R pcarma_model.R pcarma_acf.R generics.R autocovariances.R classCycle.R pcFilterClasses.R PeriodicClasses.R cyclic.R FittedPeriodicModels.R fitPM.R pcTest.R PeriodicVector.R sim.R optimcore.R
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-07 19:48:22 UTC; georgi
Repository: CRAN
Date/Publication: 2020-01-09 15:30:02 UTC

More information about pcts at CRAN
Permanent link

Package govdown updated to version 0.8.0 with previous version 0.7.0 dated 2019-10-16

Title: GOV.UK Style Templates for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring web pages styled with the GOV.UK Design System.
Author: Crown Copyright 2019 [cph], Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <duncan.garmonsway@digital.cabinet-office.gov.uk>

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Package esquisse updated to version 0.2.3 with previous version 0.2.2 dated 2019-08-22

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to 'PNG' or 'PowerPoint', and retrieve the code to reproduce the chart.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] (Facets support)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package edgarWebR updated to version 1.0.1 with previous version 1.0.0 dated 2018-05-24

Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the U.S. Securities and Exchange Commission (SEC - <https://sec.gov>) including company and fund filings along with all associated metadata.
Author: Micah J Waldstein [aut, cre]
Maintainer: Micah J Waldstein <micah@waldste.in>

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 edgarWebR-1.0.1/edgarWebR/R/company_search.R                                                               |   13 
 edgarWebR-1.0.1/edgarWebR/R/current_events.R                                                               |    3 
 edgarWebR-1.0.1/edgarWebR/R/effectiveness.R                                                                |    3 
 edgarWebR-1.0.1/edgarWebR/R/full_text.R                                                                    |    5 
 edgarWebR-1.0.1/edgarWebR/R/header_search.R                                                                |    7 
 edgarWebR-1.0.1/edgarWebR/R/latest_filings.R                                                               |    3 
 edgarWebR-1.0.1/edgarWebR/R/parse_filing.R                                                                 |   23 
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 edgarWebR-1.0.1/edgarWebR/R/series_search.R                                                                |    3 
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 edgarWebR-1.0.1/edgarWebR/inst/doc/edgarWebR.Rmd                                                           |    6 
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 edgarWebR-1.0.1/edgarWebR/man/browse_edgar.Rd                                                              |   10 
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Package docknitr updated to version 1.0.1 with previous version 0.4.0 dated 2019-11-13

Title: Use Docker Images to Process Rmarkdown Blocks
Description: Gives you the ability to use arbitrary Docker images (including custom ones) to process Rmarkdown code chunks.
Author: Ben Artin
Maintainer: Ben Artin <ben@artins.org>

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Package detzrcr updated to version 0.3.0 with previous version 0.2.6 dated 2019-07-10

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

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Package comorbidity updated to version 0.5.3 with previous version 0.5.2 dated 2019-10-20

Title: Computing Comorbidity Scores
Description: Computing comorbidity scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Hojjat Salmasian [ctb] (ICD-9-CM scores), Jonathan Williman [ctb] (<https://orcid.org/0000-0001-5080-4435>)
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>

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 R/comorbidity-package.R                |   34 
 R/comorbidity.R                        |  425 ++-
 R/data.R                               |  230 +-
 R/factorise.R                          |   20 
 R/labelled.R                           |   18 
 R/sample_diag.R                        |  130 -
 R/tidy.R                               |   22 
 README.md                              |  708 +++---
 build/partial.rdb                      |binary
 build/vignette.rds                     |binary
 data/datalist                          |   14 
 inst/CITATION                          |   26 
 inst/doc/comorbidityscores.R           |   84 
 inst/doc/comorbidityscores.Rmd         |  739 +++---
 inst/doc/comorbidityscores.html        | 1614 +++++++-------
 man/comorbidity.Rd                     |   21 
 tests/testthat.R                       |    8 
 tests/testthat/test-#20.R              |   70 
 tests/testthat/test-#25.R              |only
 tests/testthat/test-charlson-icd10.R   | 2544 +++++++++++------------
 tests/testthat/test-charlson-icd9.R    | 1784 ++++++++--------
 tests/testthat/test-comorbidity.R      | 1273 +++++------
 tests/testthat/test-data.R             |   36 
 tests/testthat/test-elixhauser-icd10.R | 3594 ++++++++++++++++-----------------
 tests/testthat/test-elixhauser-icd9.R  | 2756 ++++++++++++-------------
 tests/testthat/test-nrow.R             |   28 
 tests/testthat/test-sample_diag.R      |  164 -
 vignettes/comorbidityscores.Rmd        |  739 +++---
 33 files changed, 8751 insertions(+), 8686 deletions(-)

More information about comorbidity at CRAN
Permanent link

Package stringi updated to version 1.4.4 with previous version 1.4.3 dated 2019-03-12

Title: Character String Processing Facilities
Description: Fast, correct, consistent, portable and convenient character string/text processing in every locale and any native encoding. Owing to the use of the 'ICU' (International Components for Unicode) library, the package provides 'R' users with platform-independent functions known to 'Java', 'Perl', 'Python', 'PHP' and 'Ruby' programmers. Available features include: pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, Unicode normalization, date-time formatting and parsing and many more.
Author: Marek Gagolewski [aut, cre] (<https://orcid.org/0000-0003-0637-6028>), Bartek Tartanus [ctb] and other contributors (stringi source code); IBM, Unicode, Inc. and other contributors (ICU4C source code); Unicode, Inc. (Unicode Character Database)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.4.3 dated 2019-03-12 and 1.4.4 dated 2020-01-09

 DESCRIPTION                            |   26 +++---
 MD5                                    |   62 ++++++++--------
 NEWS                                   |   14 +++
 R/ICU_settings.R                       |    3 
 configure                              |    9 --
 configure.ac                           |    6 -
 man/stri_info.Rd                       |    3 
 src/icu61/common/ucurr.cpp             |  124 ++++++++++++++++-----------------
 src/icu61/common/uloc.cpp              |    2 
 src/icu61/i18n/decNumber.h             |    5 -
 src/stri_collator.cpp                  |   31 +++++---
 src/stri_container_bytesearch.cpp      |   15 ++-
 src/stri_container_regex.cpp           |   27 ++++---
 src/stri_messages.h                    |    2 
 src/stri_prepare_arg.cpp               |   14 ++-
 src/stri_search_boundaries_extract.cpp |   17 ++--
 src/stri_search_boundaries_split.cpp   |   13 ++-
 src/stri_search_class_extract.cpp      |   17 ++--
 src/stri_search_class_split.cpp        |   13 ++-
 src/stri_search_coll_extract.cpp       |   17 ++--
 src/stri_search_coll_split.cpp         |   15 ++-
 src/stri_search_fixed_extract.cpp      |   17 ++--
 src/stri_search_fixed_split.cpp        |   13 ++-
 src/stri_search_regex_count.cpp        |   10 ++
 src/stri_search_regex_detect.cpp       |    8 +-
 src/stri_search_regex_extract.cpp      |   36 ++++++---
 src/stri_search_regex_locate.cpp       |   23 ++++--
 src/stri_search_regex_match.cpp        |   17 +++-
 src/stri_search_regex_replace.cpp      |   21 +++--
 src/stri_search_regex_split.cpp        |   20 +++--
 src/stri_search_regex_subset.cpp       |    9 +-
 src/stri_sub.cpp                       |   62 +++++++++++-----
 32 files changed, 413 insertions(+), 258 deletions(-)

More information about stringi at CRAN
Permanent link

Package piecepackr updated to version 1.2.1 with previous version 1.1.1 dated 2019-10-29

Title: Board Game Graphics
Description: Functions to make board game graphics. By default makes game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <http://www.ludism.org/ppwiki> but can be configured to make graphics for other board game systems.
Author: Trevor L Davis [aut, cre]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between piecepackr versions 1.1.1 dated 2019-10-29 and 1.2.1 dated 2020-01-09

 piecepackr-1.1.1/piecepackr/inst/extdata/by-sa-svg.svg                                          |only
 piecepackr-1.1.1/piecepackr/inst/extdata/cc_license_88x31.png                                   |only
 piecepackr-1.1.1/piecepackr/tests/testthat/test_3d_helpers.R                                    |only
 piecepackr-1.2.1/piecepackr/DESCRIPTION                                                         |   13 
 piecepackr-1.2.1/piecepackr/MD5                                                                 |   89 ++---
 piecepackr-1.2.1/piecepackr/NAMESPACE                                                           |   16 
 piecepackr-1.2.1/piecepackr/NEWS.md                                                             |   28 +
 piecepackr-1.2.1/piecepackr/R/3d_helpers.R                                                      |  163 +++++----
 piecepackr-1.2.1/piecepackr/R/SAT.R                                                             |only
 piecepackr-1.2.1/piecepackr/R/basicPieceGrobs.R                                                 |  114 ++++--
 piecepackr-1.2.1/piecepackr/R/component_opt.R                                                   |  151 ++++++---
 piecepackr-1.2.1/piecepackr/R/game_systems.R                                                    |only
 piecepackr-1.2.1/piecepackr/R/grid_fns.R                                                        |   50 +--
 piecepackr-1.2.1/piecepackr/R/grob_fn_helpers.R                                                 |   49 +-
 piecepackr-1.2.1/piecepackr/R/make_images.R                                                     |   68 ++--
 piecepackr-1.2.1/piecepackr/R/pieceGrob.R                                                       |  131 ++++---
 piecepackr-1.2.1/piecepackr/R/pnp_functions.R                                                   |  111 +++---
 piecepackr-1.2.1/piecepackr/R/pp_cfg.R                                                          |  166 +++-------
 piecepackr-1.2.1/piecepackr/R/shadowGrobs.R                                                     |   26 -
 piecepackr-1.2.1/piecepackr/R/utils.R                                                           |   80 +++-
 piecepackr-1.2.1/piecepackr/README.md                                                           |   58 ++-
 piecepackr-1.2.1/piecepackr/inst/extdata/by-sa.svgz                                             |only
 piecepackr-1.2.1/piecepackr/man/basicPieceGrobs.Rd                                              |   37 +-
 piecepackr-1.2.1/piecepackr/man/figures/README-config-1.png                                     |binary
 piecepackr-1.2.1/piecepackr/man/figures/README-pmap-1.png                                       |binary
 piecepackr-1.2.1/piecepackr/man/figures/README-proj-1.png                                       |binary
 piecepackr-1.2.1/piecepackr/man/game_systems.Rd                                                 |only
 piecepackr-1.2.1/piecepackr/man/grid.piece.Rd                                                   |  100 ++++--
 piecepackr-1.2.1/piecepackr/man/grid_shape_grobs.Rd                                             |    2 
 piecepackr-1.2.1/piecepackr/man/grob_fn_helpers.Rd                                              |    6 
 piecepackr-1.2.1/piecepackr/man/op_transform.Rd                                                 |   22 -
 piecepackr-1.2.1/piecepackr/man/pp_cfg.Rd                                                       |   21 -
 piecepackr-1.2.1/piecepackr/man/pp_utils.Rd                                                     |   23 +
 piecepackr-1.2.1/piecepackr/man/save_piece_images.Rd                                            |   10 
 piecepackr-1.2.1/piecepackr/man/save_print_and_play.Rd                                          |   10 
 piecepackr-1.2.1/piecepackr/tests/figs/3d-helper-function/matchsticks-045.svg                   |only
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/coin-face-r4convex8.svg        |    4 
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/die-face-s2-r5-convex5mat.svg  |    4 
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/die-face-s2-r5-kite.svg        |    4 
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/icehouse-pieces.svg            |only
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/pawn-face-irregular-convex.svg |   54 +--
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/pyramid-top-s4-r3.svg          |   41 +-
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/tile-back-hex.svg              |    4 
 piecepackr-1.2.1/piecepackr/tests/figs/no-regressions-in-figures/tile-back-svg.svg              |    1 
 piecepackr-1.2.1/piecepackr/tests/figs/oblique-projection-works/diagram-op.svg                  |    4 
 piecepackr-1.2.1/piecepackr/tests/figs/oblique-projection-works/pyramid-face-op.svg             |   21 -
 piecepackr-1.2.1/piecepackr/tests/figs/save-piece-images-works-as-expected                      |only
 piecepackr-1.2.1/piecepackr/tests/testthat/test-3d_helpers.R                                    |only
 piecepackr-1.2.1/piecepackr/tests/testthat/test-draw_component.R                                |  126 +++++--
 piecepackr-1.2.1/piecepackr/tests/testthat/test-options.R                                       |   20 -
 piecepackr-1.2.1/piecepackr/tests/testthat/test-utils.R                                         |    3 
 51 files changed, 1118 insertions(+), 712 deletions(-)

More information about piecepackr at CRAN
Permanent link

Package photobiology updated to version 0.9.30 with previous version 0.9.29 dated 2019-09-11

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between photobiology versions 0.9.29 dated 2019-09-11 and 0.9.30 dated 2020-01-09

 DESCRIPTION                        |   16 
 MD5                                |  719 +++++++++++------------
 NAMESPACE                          |   52 +
 NEWS                               |   43 +
 R/copy.attr.R                      |  159 ++++-
 R/mspct.row.funs.r                 |    2 
 R/na.rm.R                          |   18 
 R/normalized.diff.idx.r            |   66 ++
 R/rbindspct.r                      |   13 
 R/s.e.irrad2rgb.r                  |    3 
 R/spct.classes.r                   |  303 ++++++---
 R/spct.compare.r                   |only
 R/spct.conversion.R                |    6 
 R/spct.fscale.r                    |  286 ++++++---
 R/spct.fshift.r                    |   25 
 R/spct.integrate.r                 |    2 
 R/spct.normalize.r                 |   55 +
 R/spct.smooth.spct.r               |   10 
 R/spct.summaries.r                 |   42 +
 R/spct.utils.r                     |only
 R/sun.calc.r                       |  100 ++-
 R/zmspct.classes.R                 |   20 
 README.md                          |    8 
 build/vignette.rds                 |binary
 data/A.illuminant.spct.rda         |binary
 data/D2-FEL-constants.rda          |binary
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 inst/doc/userguide1-intro.Rmd      |   10 
 inst/doc/userguide1-intro.html     |   17 
 inst/doc/userguide2-radiation.R    |  414 +++++++------
 inst/doc/userguide2-radiation.Rmd  |  166 +++--
 inst/doc/userguide2-radiation.html | 1126 ++++++++++++++++++++-----------------
 inst/doc/userguide3-astronomy.R    |   80 +-
 inst/doc/userguide3-astronomy.Rmd  |    8 
 inst/doc/userguide3-astronomy.html |  123 +---
 man/A.illuminant.spct.Rd           |  108 +--
 man/A2T.Rd                         |  116 +--
 man/D2.UV586.Rd                    |   36 -
 man/D2.UV653.Rd                    |   36 -
 man/D2.UV654.Rd                    |   36 -
 man/D2_spectrum.Rd                 |   70 +-
 man/D65.illuminant.spct.Rd         |  106 +--
 man/FEL.BN.9101.165.Rd             |   30 
 man/FEL_spectrum.Rd                |   69 +-
 man/Ler_leaf.spct.Rd               |  108 +--
 man/Ler_leaf_rflt.spct.Rd          |  108 +--
 man/Ler_leaf_trns.spct.Rd          |  108 +--
 man/Ler_leaf_trns_i.spct.Rd        |  108 +--
 man/MathFun.Rd                     |   70 +-
 man/T2A.Rd                         |  130 ++--
 man/T2Afr.Rd                       |  172 +++--
 man/T2T.Rd                         |  155 ++---
 man/Trig.Rd                        |   86 +-
 man/absorbance.Rd                  |  272 ++++----
 man/absorbance_spct.Rd             |   60 -
 man/absorptance.Rd                 |  274 ++++-----
 man/absorptance_spct.Rd            |   68 +-
 man/add_attr2tb.Rd                 |  185 +++---
 man/as.calibration_mspct.Rd        |  182 +++--
 man/as.calibration_spct.Rd         |   66 +-
 man/as.chroma_mspct.Rd             |  124 ++--
 man/as.chroma_spct.Rd              |   66 +-
 man/as.cps_mspct.Rd                |  181 +++--
 man/as.cps_spct.Rd                 |   83 +-
 man/as.filter_mspct.Rd             |  198 +++---
 man/as.filter_spct.Rd              |   99 +--
 man/as.generic_mspct.Rd            |  217 +++----
 man/as.generic_spct.Rd             |  112 +--
 man/as.matrix-mspct.Rd             |   81 +-
 man/as.object_mspct.Rd             |  154 ++---
 man/as.object_spct.Rd              |  105 +--
 man/as.raw_mspct.Rd                |  181 +++--
 man/as.raw_spct.Rd                 |   67 +-
 man/as.reflector_mspct.Rd          |  203 +++---
 man/as.reflector_spct.Rd           |   99 +--
 man/as.response_mspct.Rd           |  187 +++---
 man/as.response_spct.Rd            |   86 +-
 man/as.solar_date.Rd               |   42 -
 man/as.source_mspct.Rd             |  214 +++----
 man/as.source_spct.Rd              |  105 +--
 man/as_energy.Rd                   |   96 +--
 man/as_quantum.Rd                  |   68 +-
 man/as_quantum_mol.Rd              |   96 +--
 man/as_tod.Rd                      |   36 -
 man/auto_hinges.Rd                 |   44 -
 man/average_spct.Rd                |   52 -
 man/beesxyzCMF.spct.Rd             |   68 +-
 man/black_body.spct.Rd             |   79 +-
 man/c.Rd                           |   55 -
 man/calc_multipliers.Rd            |  129 ++--
 man/calc_source_output.Rd          |  111 +--
 man/ccd.spct.Rd                    |  117 ++-
 man/checkMspctVersion.Rd           |   46 -
 man/checkSpctVersion.Rd            |   46 -
 man/checkTimeUnit.Rd               |   54 -
 man/check_spct.Rd                  |  269 +++++---
 man/check_spectrum.Rd              |   63 +-
 man/check_w.length.Rd              |   55 -
 man/ciev10.spct.Rd                 |   78 +-
 man/ciev2.spct.Rd                  |   80 +-
 man/ciexyzCC10.spct.Rd             |   80 +-
 man/ciexyzCC2.spct.Rd              |   80 +-
 man/ciexyzCMF10.spct.Rd            |   80 +-
 man/ciexyzCMF2.spct.Rd             |   80 +-
 man/class_spct.Rd                  |   48 -
 man/clean.Rd                       |  378 +++++++-----
 man/clean_spct.Rd                  |   57 -
 man/clear.spct.Rd                  |   95 +--
 man/clear_body.spct.Rd             |   78 +-
 man/clear_photobio.cache.Rd        |   32 -
 man/clip_wl.Rd                     |  136 ++--
 man/color_of.Rd                    |  192 +++---
 man/compare_spct.Rd                |only
 man/convertTimeUnit.Rd             |   87 +-
 man/convolve_each.Rd               |   90 +-
 man/copy_attributes.Rd             |  106 +--
 man/cps2irrad.Rd                   |   84 +-
 man/day_night.Rd                   |  348 ++++++-----
 man/defunct.Rd                     |   58 -
 man/dim.generic_mspct.Rd           |   46 -
 man/div-.generic_spct.Rd           |   60 +
 man/div_spectra.Rd                 |  164 ++---
 man/e2q.Rd                         |  136 ++--
 man/e2qmol_multipliers.Rd          |   64 +-
 man/e2quantum_multipliers.Rd       |   72 +-
 man/e_fluence.Rd                   |  257 ++++----
 man/e_irrad.Rd                     |  310 +++++-----
 man/e_ratio.Rd                     |  254 ++++----
 man/e_response.Rd                  |  249 ++++----
 man/energy_as_default.Rd           |   76 +-
 man/energy_irradiance.Rd           |  141 ++--
 man/energy_ratio.Rd                |  151 ++--
 man/eq_ratio.Rd                    |  223 +++----
 man/expanse.Rd                     |  132 ++--
 man/extract.Rd                     |  192 +++---
 man/extract_mspct.Rd               |  100 +--
 man/f_dispatcher_spct.Rd           |   40 -
 man/filter_cps.mspct.Rd            |   86 +-
 man/findMultipleWl.Rd              |   42 -
 man/find_peaks.Rd                  |  107 +--
 man/find_wls.Rd                    |  105 +--
 man/fluence.Rd                     |  273 +++++---
 man/format.solar_time.Rd           |   52 -
 man/formatted_range.Rd             |   63 +-
 man/fscale.Rd                      |  451 +++++++++-----
 man/fscale_spct.Rd                 |   59 +
 man/fshift.Rd                      |  365 ++++++-----
 man/fshift_spct.Rd                 |   62 +-
 man/generic_mspct.Rd               |  175 ++---
 man/getAfrType.Rd                  |   61 +-
 man/getBSWFUsed.Rd                 |   57 -
 man/getHowMeasured.Rd              |  151 ++--
 man/getIdFactor.Rd                 |   59 -
 man/getInstrDesc.Rd                |   76 +-
 man/getInstrSettings.Rd            |   76 +-
 man/getMspctVersion.Rd             |   44 -
 man/getMultipleWl.Rd               |   59 -
 man/getNormalized.Rd               |   67 +-
 man/getRfrType.Rd                  |   52 -
 man/getScaled.Rd                   |   65 +-
 man/getSpctVersion.Rd              |   44 -
 man/getTfrType.Rd                  |   61 +-
 man/getTimeUnit.Rd                 |   70 +-
 man/getWhatMeasured.Rd             |  152 ++--
 man/getWhenMeasured.Rd             |  158 ++---
 man/getWhereMeasured.Rd            |  149 ++--
 man/get_attributes.Rd              |  172 +++--
 man/get_peaks.Rd                   |  136 ++--
 man/green_leaf.spct.Rd             |   98 +--
 man/head_tail.Rd                   |  184 +++---
 man/insert_hinges.Rd               |  128 ++--
 man/insert_spct_hinges.Rd          |   80 +-
 man/integrate_spct.Rd              |   48 -
 man/integrate_xy.Rd                |   98 +--
 man/interpolate_spct.Rd            |  133 ++--
 man/interpolate_spectrum.Rd        |  132 ++--
 man/interpolate_wl.Rd              |  163 ++---
 man/irrad.Rd                       |  326 ++++++----
 man/irradiance.Rd                  |  176 +++--
 man/is.generic_mspct.Rd            |  120 +--
 man/is.generic_spct.Rd             |  130 ++--
 man/is.old_spct.Rd                 |   47 -
 man/is.solar_time.Rd               |   50 -
 man/is.summary_generic_spct.Rd     |  110 +--
 man/is.waveband.Rd                 |   34 -
 man/isValidInstrDesc.Rd            |   76 +-
 man/isValidInstrSettings.Rd        |   76 +-
 man/is_absorbance_based.Rd         |   85 +-
 man/is_effective.Rd                |  127 ++--
 man/is_normalized.Rd               |   66 +-
 man/is_photon_based.Rd             |   93 +--
 man/is_scaled.Rd                   |   66 +-
 man/is_tagged.Rd                   |   61 +-
 man/join_mspct.Rd                  |  161 ++---
 man/julian_day.Rd                  |  250 ++++----
 man/l_insert_hinges.Rd             |  106 +--
 man/labels.Rd                      |   69 +-
 man/log.Rd                         |   87 +-
 man/max.Rd                         |   88 +-
 man/merge2object_spct.Rd           |   86 +-
 man/merge_attributes.Rd            |   75 +-
 man/midpoint.Rd                    |  156 ++---
 man/min.Rd                         |  100 +--
 man/minus-.generic_spct.Rd         |   60 +
 man/mod-.generic_spct.Rd           |   60 +
 man/msmsply.Rd                     |  116 ++-
 man/mspct_classes.Rd               |   38 -
 man/na.omit.Rd                     |  262 ++++----
 man/normalization.Rd               |   67 +-
 man/normalize.Rd                   |  414 ++++++++-----
 man/normalize_range_arg.Rd         |   90 +-
 man/normalized_diff_ind.Rd         |  114 ++-
 man/opaque.spct.Rd                 |   95 +--
 man/oper_spectra.Rd                |  186 +++---
 man/peaks.Rd                       |  300 +++++----
 man/photobiology-package.Rd        |  210 +++---
 man/photodiode.spct.Rd             |  110 +--
 man/photon_irradiance.Rd           |  139 ++--
 man/photon_ratio.Rd                |  153 ++---
 man/photons_energy_ratio.Rd        |  150 ++--
 man/plus-.generic_spct.Rd          |   60 +
 man/polyester.spct.Rd              |   94 +--
 man/pow-.generic_spct.Rd           |   58 +
 man/print.Rd                       |   95 +--
 man/print.solar_time.Rd            |   60 +
 man/print.summary_generic_spct.Rd  |   40 -
 man/print.waveband.Rd              |   32 -
 man/prod_spectra.Rd                |  161 ++---
 man/q2e.Rd                         |  136 ++--
 man/q_fluence.Rd                   |  259 ++++----
 man/q_irrad.Rd                     |  298 +++++----
 man/q_ratio.Rd                     |  252 ++++----
 man/q_response.Rd                  |  249 ++++----
 man/qe_ratio.Rd                    |  223 +++----
 man/range.Rd                       |  104 +--
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 man/reflectance.Rd                 |  249 ++++----
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 man/rmDerivedMspct.Rd              |   61 +-
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 man/round.Rd                       |  121 ++-
 man/rowwise.Rd                     |  105 +--
 man/s_e_irrad2rgb.Rd               |  167 ++---
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 man/s_median.Rd                    |  138 ++--
 man/s_prod.Rd                      |  148 ++--
 man/s_range.Rd                     |  140 ++--
 man/s_sd.Rd                        |  130 ++--
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 man/s_sum.Rd                       |  148 ++--
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 man/se.Rd                          |   40 -
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 man/setHowMeasured.Rd              |  102 +--
 man/setIdFactor.Rd                 |   61 +-
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 man/setMultipleWl.Rd               |   63 +-
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 man/sign.Rd                        |   61 +-
 man/slash-.generic_spct.Rd         |   60 +
 man/smooth_spct.Rd                 |  159 ++---
 man/solar_time.Rd                  |  141 ++--
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 man/spct_classes.Rd                |   36 -
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 man/split_bands.Rd                 |  105 +--
 man/split_energy_irradiance.Rd     |  178 +++--
 man/split_irradiance.Rd            |  142 ++--
 man/split_photon_irradiance.Rd     |  184 +++---
 man/stepsize.Rd                    |  124 ++--
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 man/trim_spct.Rd                   |  210 +++---
 man/trim_tails.Rd                  |  158 ++---
 man/trim_waveband.Rd               |  105 +--
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 man/tz_time_diff.Rd                |   47 -
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 man/w_length2rgb.Rd                |   70 +-
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 man/waveband.Rd                    |  160 ++---
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 man/wls_at_target.Rd               |  294 +++++----
 man/yellow_gel.spct.Rd             |   94 +--
 vignettes/userguide1-intro.Rmd     |   10 
 vignettes/userguide2-radiation.Rmd |  166 +++--
 vignettes/userguide3-astronomy.Rmd |    8 
 364 files changed, 21619 insertions(+), 18370 deletions(-)

More information about photobiology at CRAN
Permanent link

Package mvtnorm updated to version 1.0-12 with previous version 1.0-11 dated 2019-06-19

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>

Diff between mvtnorm versions 1.0-11 dated 2019-06-19 and 1.0-12 dated 2020-01-09

 DESCRIPTION                  |    8 ++--
 MD5                          |   16 ++++-----
 R/mvnorm.R                   |    2 -
 build/vignette.rds           |binary
 inst/NEWS                    |    4 ++
 inst/doc/MVT_Rnews.pdf       |binary
 src/mvt.f                    |    2 -
 tests/bugfix-tests.R         |   16 ++++-----
 tests/bugfix-tests.Rout.save |   76 +++++--------------------------------------
 9 files changed, 36 insertions(+), 88 deletions(-)

More information about mvtnorm at CRAN
Permanent link

Package bdpar updated to version 1.0.1 with previous version 1.0.0 dated 2019-07-26

Title: Big Data Preprocessing Architecture
Description: Provide a tool to easily build customized data flows to pre-process large volumes of information from different sources. To this end, 'bdpar' allows to (i) easily use and create new functionalities and (ii) develop new data source extractors according to the user needs. Additionally, the package provides by default a predefined data flow to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual sources (SMS, Email, tweets, YouTube comments).
Author: Miguel Ferreiro-Díaz [aut, cre], David Ruano-Ordás [aut, ctr], Tomás R. Cotos-Yañez [aut, ctr], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz@gmail.com>

Diff between bdpar versions 1.0.0 dated 2019-07-26 and 1.0.1 dated 2020-01-09

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 bdpar-1.0.1/bdpar/DESCRIPTION                                                       |    8 
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 bdpar-1.0.1/bdpar/NEWS.md                                                           |    7 
 bdpar-1.0.1/bdpar/R/Bdpar.R                                                         |    9 
 bdpar-1.0.1/bdpar/R/Connections.R                                                   |   19 
 bdpar-1.0.1/bdpar/R/ExtractorEml.R                                                  |   12 
 bdpar-1.0.1/bdpar/R/ExtractorTwtid.R                                                |    7 
 bdpar-1.0.1/bdpar/R/FindEmojiPipe.R                                                 |   15 
 bdpar-1.0.1/bdpar/R/eml.R                                                           |    4 
 bdpar-1.0.1/bdpar/R/pipeline_execute.R                                              |    9 
 bdpar-1.0.1/bdpar/inst/doc/bdpar.R                                                  |    8 
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 bdpar-1.0.1/bdpar/inst/examples                                                     |only
 bdpar-1.0.1/bdpar/man/Bdpar.Rd                                                      |    9 
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 bdpar-1.0.1/bdpar/tests/testthat/test_ContractionPipe.R                             |  241 +++++---
 bdpar-1.0.1/bdpar/tests/testthat/test_ExtractorEml.R                                |    2 
 bdpar-1.0.1/bdpar/tests/testthat/test_ExtractorSms.R                                |   25 
 bdpar-1.0.1/bdpar/tests/testthat/test_ExtractorTwtid.R                              |    5 
 bdpar-1.0.1/bdpar/tests/testthat/test_ExtractorYtbid.R                              |    3 
 bdpar-1.0.1/bdpar/tests/testthat/test_File2Pipe.R                                   |   38 -
 bdpar-1.0.1/bdpar/tests/testthat/test_FindEmojiPipe.R                               |  125 ++--
 bdpar-1.0.1/bdpar/tests/testthat/test_FindEmoticonPipe.R                            |   88 ++-
 bdpar-1.0.1/bdpar/tests/testthat/test_FindHashtagPipe.R                             |   89 ++-
 bdpar-1.0.1/bdpar/tests/testthat/test_FindUrlPipe.R                                 |  154 +++--
 bdpar-1.0.1/bdpar/tests/testthat/test_FindUserNamePipe.R                            |   88 ++-
 bdpar-1.0.1/bdpar/tests/testthat/test_GuessDatePipe.R                               |   16 
 bdpar-1.0.1/bdpar/tests/testthat/test_GuessLanguagePipe.R                           |   42 -
 bdpar-1.0.1/bdpar/tests/testthat/test_InstanceFactory.R                             |    2 
 bdpar-1.0.1/bdpar/tests/testthat/test_InterjectionPipe.R                            |  231 +++++---
 bdpar-1.0.1/bdpar/tests/testthat/test_MeasureLengthPipe.R                           |   34 -
 bdpar-1.0.1/bdpar/tests/testthat/test_ResourceHandler.R                             |   26 
 bdpar-1.0.1/bdpar/tests/testthat/test_SerialPipe.R                                  |   59 +-
 bdpar-1.0.1/bdpar/tests/testthat/test_SlangPipe.R                                   |  258 +++++----
 bdpar-1.0.1/bdpar/tests/testthat/test_StopWordPipe.R                                |  238 +++++---
 bdpar-1.0.1/bdpar/tests/testthat/test_StoreFileExtPipe.R                            |   18 
 bdpar-1.0.1/bdpar/tests/testthat/test_TargetAssigningPipe.R                         |   62 +-
 bdpar-1.0.1/bdpar/tests/testthat/test_TeeCSVPipe.R                                  |   94 +--
 bdpar-1.0.1/bdpar/tests/testthat/test_ToLowerCasePipe.R                             |   16 
 bdpar-1.0.1/bdpar/tests/testthat/test_TypePipe.R                                    |   61 +-
 bdpar-1.0.1/bdpar/tests/testthat/test_pipeline_execute.R                            |   71 +-
 56 files changed, 1785 insertions(+), 1299 deletions(-)

More information about bdpar at CRAN
Permanent link

New package bikedata with initial version 0.2.4
Package: bikedata
Title: Download and Aggregate Data from Public Hire Bicycle Systems
Version: 0.2.4
Authors@R: c( person("Mark", "Padgham", email = "mark.padgham@email.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0003-2172-5265")), person("Richard", "Ellison", role = "aut"), person("Tom", "Buckley", role = "aut"), person("Ryszard", "Szymański", email = "ryszard.szymanski@outlook.com", role = "ctb"), person("Bea", "Hernández", role = "rev", comment = "Bea reviewed the package for ropensci, see https://github.com/ropensci/onboarding/issues/116"), person("Elaine", "McVey", role = "rev", comment = "Elaine reviewed the package for ropensci, see https://github.com/ropensci/onboarding/issues/116"), person(family = "SQLite Consortium", role = "ctb", comment = "Authors of included SQLite code"))
Description: Download and aggregate data from all public hire bicycle systems which provide open data, currently including 'Santander' Cycles in London, U.K.; from the U.S.A., 'Ford GoBike' in San Francisco CA, 'citibike' in New York City NY, 'Divvy' in Chicago IL, 'Capital Bikeshare' in Washington DC, 'Hubway' in Boston MA, 'Metro' in Los Angeles LA, 'Indego' in Philadelphia PA, and 'Nice Ride' in Minnesota; 'Bixi' from Montreal, Canada; and 'mibici' from Guadalajara, Mexico.
License: GPL-3
Depends: R (>= 3.0)
Imports: DBI, httr, lubridate, magrittr, methods, Rcpp, readxl, RSQLite, reshape2, tibble, xml2
Suggests: dodgr, knitr, rmarkdown, roxygen2, testthat, covr
LinkingTo: BH, Rcpp
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
URL: https://docs.ropensci.org/bikedata, https://github.com/ropensci/bikedata
BugReports: https://github.com/ropensci/bikedata/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
X-schema.org-applicationCategory: Data Access
X-schema.org-keywords: bicycle-hire-systems, bike-hire-systems, bike-hire, bicycle-hire, database, bike-data
X-schema.org-isPartOf: https://ropensci.org
Packaged: 2020-01-08 12:34:28 UTC; markus
Author: Mark Padgham [aut, cre] (<https://orcid.org/0000-0003-2172-5265>), Richard Ellison [aut], Tom Buckley [aut], Ryszard Szymański [ctb], Bea Hernández [rev] (Bea reviewed the package for ropensci, see https://github.com/ropensci/onboarding/issues/116), Elaine McVey [rev] (Elaine reviewed the package for ropensci, see https://github.com/ropensci/onboarding/issues/116), SQLite Consortium [ctb] (Authors of included SQLite code)
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2020-01-09 14:40:06 UTC

More information about bikedata at CRAN
Permanent link

Package adoptr updated to version 0.3.2 with previous version 0.3.0 dated 2019-11-25

Title: Adaptive Optimal Two-Stage Designs in R
Description: Optimize one or two-arm, two-stage designs for clinical trials with respect to several pre-implemented objective criteria or implement custom objectives. Optimization under uncertainty and conditional (given stage-one outcome) constraints are supported. See Pilz M, Kunzmann K, Herrmann C, Rauch G, Kieser M. A variational approach to optimal two-stage designs. Statistics in Medicine. 2019;38(21):4159–4171. <doi:10.1002/sim.8291> for details.
Author: Kevin Kunzmann [aut, cre], Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>

Diff between adoptr versions 0.3.0 dated 2019-11-25 and 0.3.2 dated 2020-01-09

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 adoptr-0.3.2/adoptr/DESCRIPTION                                   |    8 
 adoptr-0.3.2/adoptr/MD5                                           |  111 +++---
 adoptr-0.3.2/adoptr/NAMESPACE                                     |    3 
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 adoptr-0.3.2/adoptr/R/TwoStageDesign.R                            |  103 +++++
 adoptr-0.3.2/adoptr/R/minimize.R                                  |   55 +++
 adoptr-0.3.2/adoptr/README.md                                     |    5 
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 adoptr-0.3.2/adoptr/man/N1-class.Rd                               |    3 
 adoptr-0.3.2/adoptr/man/NormalDataDistribution-class.Rd           |    3 
 adoptr-0.3.2/adoptr/man/OneStageDesign-class.Rd                   |    3 
 adoptr-0.3.2/adoptr/man/Scores.Rd                                 |    7 
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 adoptr-0.3.2/adoptr/man/posterior.Rd                              |    7 
 adoptr-0.3.2/adoptr/man/predictive_cdf.Rd                         |   14 
 adoptr-0.3.2/adoptr/man/predictive_pdf.Rd                         |   14 
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 adoptr-0.3.2/adoptr/man/simulate-TwoStageDesign-numeric-method.Rd |    4 
 adoptr-0.3.2/adoptr/man/subject_to.Rd                             |    4 
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 adoptr-0.3.2/adoptr/tests/testthat/test_minimize.R                |   58 ++-
 adoptr-0.3.2/adoptr/vignettes/adoptr.Rmd                          |   29 -
 adoptr-0.3.2/adoptr/vignettes/composite-scores.Rmd                |    4 
 59 files changed, 670 insertions(+), 242 deletions(-)

More information about adoptr at CRAN
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Package TAG updated to version 0.2.0 with previous version 0.1.0 dated 2019-09-27

Title: Transformed Additive Gaussian Processes
Description: Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2019+) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions.
Author: Li-Hsiang Lin and V. Roshan Joseph
Maintainer: Li-Hsiang Lin <llin79@gatech.edu>

Diff between TAG versions 0.1.0 dated 2019-09-27 and 0.2.0 dated 2020-01-09

 DESCRIPTION       |    6 +++---
 MD5               |   14 ++++++++------
 NAMESPACE         |    1 +
 R/Check.R         |only
 R/Initial_TAG.R   |   17 ++++++++++++-----
 R/pred_TAAG.R     |    2 +-
 man/TAG.Rd        |    2 +-
 man/check.TAAG.Rd |only
 man/pred.TAAG.Rd  |    5 +++++
 9 files changed, 31 insertions(+), 16 deletions(-)

More information about TAG at CRAN
Permanent link

Package SpatPCA updated to version 1.2.0.1 with previous version 1.2.0.0 dated 2018-02-20

Title: Regularized Principal Component Analysis for Spatial Data
Description: Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigenfunctions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <DOI:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
Author: Wen-Ting Wang, Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>

Diff between SpatPCA versions 1.2.0.0 dated 2018-02-20 and 1.2.0.1 dated 2020-01-09

 DESCRIPTION             |   19 -
 MD5                     |   26 -
 R/RcppExports.R         |    8 
 R/SpatPCA.R             |  118 +++---
 man/SpatPCA-package.Rd  |    6 
 man/SpatPCAinternal1.Rd |   13 
 man/SpatPCAinternal2.Rd |   13 
 man/SpatPCAinternal3.Rd |    9 
 man/SpatPCAinternal4.Rd |    9 
 man/spatpca.Rd          |   50 +-
 src/Makevars            |    6 
 src/Makevars.win        |   10 
 src/RcppExports.cpp     |   20 -
 src/rcpp_SpatPCA.cpp    |  832 ++++++++++++++++++++++--------------------------
 14 files changed, 539 insertions(+), 600 deletions(-)

More information about SpatPCA at CRAN
Permanent link

Package RclusTool updated to version 0.91.2 with previous version 0.91.1 dated 2019-12-12

Title: Graphical Toolbox for Clustering and Classification of Data Frames
Description: Graphical toolbox for clustering and classification of data frames. It proposes a graphical interface to process clustering and classification methods on features data-frames, and to view initial data as well as resulted cluster or classes. According to the level of available labels, different approaches are proposed: unsupervised clustering, semi-supervised clustering and supervised classification. To assess the processed clusters or classes, the toolbox can import and show some supplementary data formats: either profile/time series, or images. These added information can help the expert to label clusters (clustering), or to constrain data frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.
Author: Guillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
Maintainer: Pierre-Alexandre Hebert <hebert@univ-littoral.fr>

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Package MomTrunc updated to version 5.57 with previous version 4.59 dated 2019-10-08

Title: Moments of Folded and Doubly Truncated Multivariate Distributions
Description: It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members. References used for this package: Arellano-Valle, R. B. & Genton, M. G. (2005). On fundamental skew distributions. Journal of Multivariate Analysis, 96, 93-116. Galarza C.E., Matos L.A., Dey D.K. & Lachos V.H. (2019) On Moments of Folded and Truncated Multivariate Extended Skew-Normal Distributions. Technical report. ID 19-14. University of Connecticut. <https://stat.uconn.edu/tech-reports-2019/>.
Author: Christian E. Galarza, Raymond Kan and Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package mfbvar updated to version 0.5.2 with previous version 0.5.1 dated 2019-09-02

Title: Mixed-Frequency Bayesian VAR Models
Description: Estimation of mixed-frequency Bayesian vector autoregressive (VAR) models. The package implements a state space-based VAR model that handles mixed frequencies of the data. The model is estimated using Markov Chain Monte Carlo to numerically approximate the posterior distribution. Prior distributions that can be used include normal-inverse Wishart and normal-diffuse priors as well as steady-state priors. Stochastic volatility can be handled by common or factor stochastic volatility models.
Author: Sebastian Ankargren [cre, aut] (<https://orcid.org/0000-0003-4415-8734>), Yukai Yang [aut] (<https://orcid.org/0000-0002-2623-8549>), Gregor Kastner [ctb] (<https://orcid.org/0000-0002-8237-8271>)
Maintainer: Sebastian Ankargren <sebastian.ankargren@statistics.uu.se>

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Package lumberjack updated to version 1.1.2 with previous version 1.0.3 dated 2019-08-28

Title: Track Changes in Data
Description: A framework that allows for easy logging of changes in data. Main features: start tracking changes by adding a single line of code to an existing script. Track changes in multiple datasets, using multiple loggers. Add custom-built loggers or use loggers offered by other packages.
Author: Mark van der Loo [aut, cre] (<https://orcid.org/0000-0002-9807-4686>)
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package GGMselect updated to version 0.1-12.3 with previous version 0.1-12.2 dated 2019-04-22

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models, following the method developed by C. Giraud, S. Huet and N. Verzelen (2012) <doi:10.1515/1544-6115.1625>. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

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Package EFA.MRFA updated to version 1.0.7 with previous version 1.0.6 dated 2019-12-04

Title: Dimensionality Assessment Using Minimum Rank Factor Analysis
Description: Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.
Author: David Navarro-Gonzalez, Urbano Lorenzo-Seva
Maintainer: David Navarro-Gonzalez <david.navarro@urv.cat>

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Package ddalpha updated to version 1.3.11 with previous version 1.3.10 dated 2019-10-26

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

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Package cyanoFilter updated to version 0.1.3 with previous version 0.1.2 dated 2019-11-08

Title: Cyanobacteria Population Identification for Flow Cytometry
Description: An approach to filter out and/or identify synechococcus type cyanobacteria cells from all particles measured via flow cytometry. It combines known characteristics of these cyanobacteria strains alongside gating techniques developed by Mehrnoush, M. et al. (2015) <doi:10.1093/bioinformatics/btu677> in the 'flowDensity' package to identify and separate these cyanobacteria cells from other cell types. Aside the gating techniques in the 'flowDensity' package, an EM style clustering technique is also developed to identify these cyanobacteria cell populations.
Author: Oluwafemi Olusoji [aut, cre], Aerts Marc [ctb], Delaender Frederik [ctb], Neyens Thomas [ctb], Spaak jurg [aut]
Maintainer: Oluwafemi Olusoji <oluwafemi.olusoji@uhasselt.be>

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Package spatial.gev.bma (with last version 1.0) was removed from CRAN

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

2014-05-21 1.0

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Package RPANDA updated to version 1.7 with previous version 1.6 dated 2019-06-11

Title: Phylogenetic ANalyses of DiversificAtion
Description: Implements macroevolutionary analyses on phylogenetic trees. See Morlon et al. (2010) <DOI:10.1371/journal.pbio.1000493>, Morlon et al. (2011) <DOI:10.1073/pnas.1102543108>, Condamine et al. (2013) <DOI:10.1111/ele.12062>, Morlon et al. (2014) <DOI:10.1111/ele.12251>, Manceau et al. (2015) <DOI:10.1111/ele.12415>, Lewitus & Morlon (2016) <DOI:10.1093/sysbio/syv116>, Drury et al. (2016) <DOI:10.1093/sysbio/syw020>, Manceau et al. (2016) <DOI:10.1093/sysbio/syw115>, Morlon et al. (2016) <DOI:10.1111/2041-210X.12526>, Clavel & Morlon (2017) <DOI:10.1073/pnas.1606868114>, Drury et al. (2017) <DOI:10.1093/sysbio/syx079>, Lewitus & Morlon (2017) <DOI:10.1093/sysbio/syx095>, Drury et al. (2018) <DOI:10.1371/journal.pbio.2003563>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045> and Maliet et al. (2019) <DOI:10.1038/s41559-019-0908-0>.
Author: Hélène Morlon [aut, cre, cph], Eric Lewitus [aut, cph], Fabien Condamine [aut, cph], Marc Manceau [aut, cph], Julien Clavel [aut, cph], Jonathan Drury [aut, cph], Olivier Billaud [aut, cph], Odile Maliet [aut, cph]
Maintainer: Hélène Morlon <morlon@biologie.ens.fr>

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Package MMLR updated to version 0.2.0 with previous version 0.1.0 dated 2019-02-03

Title: Fitting Markov-Modulated Linear Regression Models
Description: A set of tools for fitting Markov-modulated linear regression, where responses Y(t) are time-additive, and model operates in the external environment, which is described as a continuous time Markov chain with finite state space. Model is proposed by Alexander Andronov (2012) <arXiv:1901.09600v1> and algorithm of parameters estimation is based on eigenvalues and eigenvectors decomposition. Markov-switching regression models have the same idea of varying the regression parameters randomly in accordance with external environment. The difference is that for Markov-modulated linear regression model the external environment is described as a continuous-time homogeneous irreducible Markov chain with known parameters while switching models consider Markov chain as unobserved and estimation procedure involves estimation of transition matrix. These models have significant differences in terms of the analytical approach. Also, package provides a set of data simulation tools for Markov-modulated linear regression (for academical/research purposes). Research project No. 1.1.1.2/VIAA/1/16/075.
Author: Nadezda Spiridovska [aut, cre], Diana Santalova [ctb]
Maintainer: Nadezda Spiridovska <Spiridovska.N@tsi.lv>

Diff between MMLR versions 0.1.0 dated 2019-02-03 and 0.2.0 dated 2020-01-09

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Package microseq updated to version 2.0 with previous version 1.3 dated 2019-10-27

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use generic R data structures as much as possible, making R data wrangling possible also for sequence data.
Author: Lars Snipen, Kristian Hovde Liland
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 1.3 dated 2019-10-27 and 2.0 dated 2020-01-09

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Package InspectChangepoint updated to version 1.1 with previous version 1.0.1 dated 2016-07-03

Title: High-Dimensional Changepoint Estimation via Sparse Projection
Description: Provides a data-driven projection-based method for estimating changepoints in high-dimensional time series. Multiple changepoints are estimated using a (wild) binary segmentation scheme.
Author: Tengyao Wang and Richard Samworth
Maintainer: Tengyao Wang <tengyao.wang@ucl.ac.uk>

Diff between InspectChangepoint versions 1.0.1 dated 2016-07-03 and 1.1 dated 2020-01-09

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Package INDperform updated to version 0.2.2 with previous version 0.2.1 dated 2019-07-13

Title: Evaluation of Indicator Performances for Assessing Ecosystem States
Description: An implementation of the 7-step approach suggested by Otto et al. (2018) <doi:10.1016/j.ecolind.2017.05.045> to validate ecological state indicators and to select a suite of complimentary and well performing indicators. This suite can be then used to assess the current state of the system in comparison to a reference period. However, the tools in this package are very generic and can be used to test any type of indicator (e.g. social or economic indicators).
Author: Saskia A. Otto [aut, cre] (<https://orcid.org/0000-0001-7780-1322>), Rene Plonus [aut], Steffen Funk [aut], Alexander Keth [aut]
Maintainer: Saskia A. Otto <saskia.a.otto@gmail.com>

Diff between INDperform versions 0.2.1 dated 2019-07-13 and 0.2.2 dated 2020-01-09

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Package FPDclustering updated to version 1.4 with previous version 1.3.1 dated 2019-08-22

Title: PD-Clustering and Factor PD-Clustering
Description: Probabilistic distance clustering (PD-clustering) is an iterative, distribution free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership, under the constraint that the product of the probability and the distance of each point to any cluster centre is a constant. PD-clustering is a flexible method that can be used with non-spherical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different size. GPDC and TPDC uses a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a recently proposed factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high dimensional datasets.
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], and Paul D. McNicholas [fnd]
Maintainer: Cristina Tortora <grikris1@gmail.com>

Diff between FPDclustering versions 1.3.1 dated 2019-08-22 and 1.4 dated 2020-01-09

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New package fasstr with initial version 0.3.1
Package: fasstr
Title: Analyze, Summarize, and Visualize Daily Streamflow Data
Version: 0.3.1
Authors@R: c(person("Jon", "Goetz", email = "jon.goetz@gov.bc.ca", role = c("aut", "cre")), person("Carl James", "Schwarz", email = "cschwarz.stat.sfu.ca@gmail.com", role = "aut"), person("Robin", "Pike", email = "robin.g.pike@gov.bc.ca", role = "ctb"), person("Province of British Columbia", role = "cph"))
Description: The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various functions to clean and screen daily stream discharge data; calculate and visualize various summary statistics and metrics; and compute annual trending (using 'zyp' package methods <https://CRAN.R-project.org/package=zyp>) and volume frequency analyses (using methods similar to HEC-SSP (2019) <https://www.hec.usace.army.mil/software/hec-ssp/>). It features useful function arguments for filtering of and handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey of Canada hydrometric database (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).
Depends: R (>= 3.2.0)
License: Apache License 2.0
URL: https://github.com/bcgov/fasstr, https://www2.gov.bc.ca/gov/content/environment/air-land-water/water
BugReports: https://github.com/bcgov/fasstr/issues
Encoding: UTF-8
Imports: dplyr (>= 0.8.1), e1071 (>= 1.7.0.1), fitdistrplus (>= 1.0.14), ggplot2 (>= 3.1.0), grDevices, lubridate (>= 1.7.4), PearsonDS (>= 1.1), plyr (>= 1.8.4), purrr (>= 0.3.2), RcppRoll (>= 0.3.0), scales (>= 1.0.0), tidyhydat (>= 0.4.0), tidyr (>= 0.8.3), openxlsx (>= 4.1.0), zyp (>= 0.10.1.1)
Suggests: knitr, rmarkdown, testthat
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-08 23:07:20 UTC; JGOETZ
Author: Jon Goetz [aut, cre], Carl James Schwarz [aut], Robin Pike [ctb], Province of British Columbia [cph]
Maintainer: Jon Goetz <jon.goetz@gov.bc.ca>
Repository: CRAN
Date/Publication: 2020-01-09 12:40:02 UTC

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Package DepthProc updated to version 2.1.2 with previous version 2.1.1 dated 2019-04-22

Title: Statistical Depth Functions for Multivariate Analysis
Description: Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.
Author: Zygmunt Zawadzki [aut, cre], Daniel Kosiorowski [aut], Krzysztof Slomczynski [ctb], Mateusz Bocian [ctb], Anna Wegrzynkiewicz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

Diff between DepthProc versions 2.1.1 dated 2019-04-22 and 2.1.2 dated 2020-01-09

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Package bigparallelr updated to version 0.2.3 with previous version 0.2.2 dated 2019-12-06

Title: Easy Parallel Tools
Description: Utility functions for easy parallelism in R. Include some reexports from other packages, utility functions for splitting and parallelizing over blocks, and choosing and setting the number of cores used.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigparallelr versions 0.2.2 dated 2019-12-06 and 0.2.3 dated 2020-01-09

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Package akc updated to version 0.9.1 with previous version 0.9.0 dated 2020-01-08

Title: Automatic Knowledge Classification
Description: A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

Diff between akc versions 0.9.0 dated 2020-01-08 and 0.9.1 dated 2020-01-09

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New package RFmerge with initial version 0.1-6
Package: RFmerge
Type: Package
Title: Merging of Satellite Datasets with Ground Observations using Random Forests
Version: 0.1-6
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph] (<https://orcid.org/0000-0002-9536-643X>), Oscar M. Baez-Villanueva [aut, cph], Juan Giraldo-Osorio [ctb]
Authors@R: c(person("Mauricio Zambrano-Bigiarini", email = "mzb.devel@gmail.com", role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0002-9536-643X")), person("Oscar M. Baez-Villanueva", email = "obaezvil@th-koeln.de", role=c("aut", "cph")), person("Juan Giraldo-Osorio", email = "j.giraldoo@javeriana.edu.co", role=c("ctb")) )
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>
Description: S3 implementation of the Random Forest MErging Procedure (RF-MEP), which combines two or more satellite-based datasets (e.g., precipitation products, topography) with ground observations to produce a new dataset with improved spatio-temporal distribution of the target field. In particular, this package was developed to merge different Satellite-based Rainfall Estimates (SREs) with measurements from rain gauges, in order to obtain a new precipitation dataset where the time series in the rain gauges are used to correct different types of errors present in the SREs. However, this package might be used to merge other hydrological/environmental satellite fields with point observations. For details, see Baez-Villanueva et al. (2020) <doi:10.1016/j.rse.2019.111606>. Bugs / comments / questions / collaboration of any kind are very welcomed.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: raster, sp, sf, randomForest, zoo, parallel, methods, stats, utils, pbapply
Suggests: knitr, rmarkdown, rgdal
VignetteBuilder: knitr
URL: https://github.com/hzambran/RFmerge
MailingList: https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
BugReports: https://github.com/hzambran/RFmerge/issues
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-01-08 00:21:08 UTC; hzambran
Date/Publication: 2020-01-09 11:10:02 UTC

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New package echelon with initial version 0.1.0
Package: echelon
Type: Package
Title: The Echelon Analysis and the Detection of Spatial Clusters using Echelon Scan Method
Version: 0.1.0
Author: Fumio Ishioka
Maintainer: Fumio Ishioka <fishioka@okayama-u.ac.jp>
Description: Functions for the echelon analysis developed proposed by Myers et al. (1997) <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using echelon scan method proposed by Kurihara (2003) <doi:10.20551/jscswabun.15.2_171>.
License: GPL-3
Depends: R (>= 3.3.0)
Suggests: sf, spData
NeedsCompilation: no
Packaged: 2020-01-08 06:51:01 UTC; fishi
Repository: CRAN
Date/Publication: 2020-01-09 11:30:02 UTC

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New package cbq with initial version 0.1.0.0
Package: cbq
Title: Conditional Binary Quantile Models
Version: 0.1.0.0
Author: Xiao Lu
Maintainer: Xiao LU <xiao.lu.research@gmail.com>
Description: Estimates conditional binary quantile models developed by Lu (2019) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Formula, Rcpp (>= 0.12.0), rstan (>= 2.18.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-12-23 06:51:29 UTC; xiaolu
Repository: CRAN
Date/Publication: 2020-01-09 11:20:02 UTC

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New package vectools with initial version 0.1.1
Package: vectools
Title: Supplementary Vector-Related Tools
Version: 0.1.1
Date: 2020-01-08
License: GPL (>= 2)
Maintainer: Abby Spurdle <spurdle.a@gmail.com>
Author: Abby Spurdle
URL: https://sites.google.com/site/spurdlea/r
Description: Supports formatted nested/partitioned matrices, formatted object arrays and similar formatted data.frame(s), via coercion. These objects can be printed with plain text mark up, including their partitions and submatrices. Also, includes an SQL-like select function, grouped head functions and combined head and tail functions.
Imports: methods
Suggests: intoo, Matrix, barsurf
NeedsCompilation: no
Packaged: 2020-01-07 17:39:45 UTC; spurdle
Repository: CRAN
Date/Publication: 2020-01-09 10:10:02 UTC

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New package shinyloadtest with initial version 1.0.1
Package: shinyloadtest
Type: Package
Title: Load Test Shiny Applications
Version: 1.0.1
Authors@R: c( person("Alan", "Dipert", role = c("aut", "cre"), email = "alan@rstudio.com"), person("Barret", "Schloerke", role = c("aut"), email = "barret@rstudio.com"), person("Barbara", "Borges", role = c("aut")), person("RStudio", role = c("cph", "fnd")) )
Description: Assesses the number of concurrent users 'shiny' applications are capable of supporting, and for directing application changes in order to support a higher number of users. Provides facilities for recording 'shiny' application sessions, playing recorded sessions against a target server at load, and analyzing the resulting metrics.
License: GPL-3
Depends: R (>= 2.10)
Encoding: UTF-8
LazyData: true
URL: https://rstudio.github.io/shinyloadtest/, https://github.com/rstudio/shinyloadtest
BugReports: https://github.com/rstudio/shinyloadtest/issues
Collate: 'enum.R' 'data.R' 'analysis.R' 'detect.R' 'auth.R' 'make_report.R' 'plotting.R' 'shiny-recorder.R' 'url.R' 'util.R' 'util-pipe.R'
Imports: R6, curl, dplyr (>= 0.8.0.1), getPass, ggplot2, glue, gtable, htmltools, httpuv (>= 1.5.2), jsonlite, lubridate, magrittr, progress, readr, rlang (>= 0.1.2), rmarkdown, scales, stringr, tibble, svglite, websocket (>= 1.0.0), xml2
RoxygenNote: 7.0.2
Suggests: testthat, usethis
SystemRequirements: pandoc (>= 2.2) - http://pandoc.org
NeedsCompilation: no
Packaged: 2020-01-07 16:19:00 UTC; alan
Author: Alan Dipert [aut, cre], Barret Schloerke [aut], Barbara Borges [aut], RStudio [cph, fnd]
Maintainer: Alan Dipert <alan@rstudio.com>
Repository: CRAN
Date/Publication: 2020-01-09 10:20:02 UTC

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New package bggum with initial version 1.0.1
Package: bggum
Title: Bayesian Estimation of Generalized Graded Unfolding Model Parameters
Version: 1.0.1
Date: 2019-12-27
Authors@R: c(person(given = "JBrandon", family = "Duck-Mayr", email = "j.duckmayr@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2231-1294")), person(given = "Jacob", family = "Montgomery", role = c("aut")), person(given = "Patrick", family = "Silva", role = "ctb"), person(given = "Luwei", family = "Ying", role = "ctb") )
Description: Provides a Metropolis-coupled Markov chain Monte Carlo sampler, post-processing and parameter estimation functions, and plotting utilities for the generalized graded unfolding model of Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>.
URL: https://github.com/duckmayr/bggum
BugReports: https://github.com/duckmayr/bggum/issues
Depends: R (>= 3.5.0)
Imports: stats, graphics, Rcpp (>= 0.12.14)
LinkingTo: Rcpp, RcppDist
License: GPL (>= 2)
Suggests: devtools, testthat, covr, knitr, rmarkdown, dplyr, tidyr
Collate: 'bggum-package.R' 'RcppExports.R' 'ggumProbability.R' 'tune_proposals.R' 'tune_temps.R' 'ggumMCMC.R' 'ggumMC3.R' 'ggum_simulation.R' 'color_palettes.R' 'irf.R' 'icc.R' 'summary.R' 'post_process.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-01-08 03:13:21 UTC; jb
Author: JBrandon Duck-Mayr [aut, cre] (<https://orcid.org/0000-0002-2231-1294>), Jacob Montgomery [aut], Patrick Silva [ctb], Luwei Ying [ctb]
Maintainer: JBrandon Duck-Mayr <j.duckmayr@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-09 10:50:03 UTC

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New package xnet with initial version 0.1.10
Package: xnet
Type: Package
Title: Two-Step Kernel Ridge Regression for Network Predictions
Version: 0.1.10
Authors@R: c(person("Joris","Meys", email = "Joris.Meys@UGent.be", role = c("cre","aut")), person("Michiel", "Stock", email = "Michiel.Stock@UGent.be", role = "aut"))
Description: Fit a two-step kernel ridge regression model for predicting edges in networks, and carry out cross-validation using shortcuts for swift and accurate performance assessment (Stock et al, 2018 <doi:10.1093/bib/bby095> ).
Date: 2019-12-09
BugReports: https://github.com/CenterForStatistics-UGent/xnet/issues
URL: https://github.com/CenterForStatistics-UGent/xnet
Depends: R(>= 3.4.0)
Imports: methods, utils, graphics, stats, grDevices
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
Suggests: testthat, knitr, rmarkdown, ChemmineR, covr, fmcsR
VignetteBuilder: knitr
Collate: 'Class_linearFilter.R' 'all_generics.R' 'Class_permtest.R' 'Class_tskrr.R' 'Class_tskrrHeterogeneous.R' 'Class_tskrrHomogeneous.R' 'Class_tskrrImpute.R' 'Class_tskrrImputeHeterogeneous.R' 'Class_tskrrImputeHomogeneous.R' 'Class_tskrrTune.R' 'Class_tskrrTuneHeterogeneous.R' 'Class_tskrrTuneHomogeneous.R' 'as_tuned.R' 'create_grid.R' 'data_drugtarget.R' 'data_proteinInteraction.R' 'dim.R' 'eigen2hat.R' 'fitted.R' 'get_loo_fun.R' 'getlooInternal.R' 'getters_linearFilter.R' 'getters_permtest.R' 'getters_tskrr.R' 'getters_tskrrImpute.R' 'getters_tskrrTune.R' 'hat.R' 'impute_tskrr.R' 'impute_tskrr.fit.R' 'internal_helpers.R' 'is_symmetric.R' 'labels.R' 'linear_filter.R' 'loo.R' 'looInternal.R' 'loss.R' 'loss_functions.R' 'match_labels.R' 'permtest.R' 'plot.tskrr.R' 'plot_grid.R' 'predict.R' 'prepare_lambdas.R' 'residuals.R' 'test_input.R' 'test_symmetry.R' 'tskrr.R' 'tskrr.fit.R' 'tune.R' 'update.R' 'valid_dimensions.R' 'valid_labels.R' 'weights.R' 'xnet-package.R'
NeedsCompilation: no
Packaged: 2019-12-20 14:29:47 UTC; Joris
Author: Joris Meys [cre, aut], Michiel Stock [aut]
Maintainer: Joris Meys <Joris.Meys@UGent.be>
Repository: CRAN
Date/Publication: 2020-01-09 09:30:02 UTC

More information about xnet at CRAN
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Package timeperiodsR updated to version 0.6.1 with previous version 0.3.0 dated 2019-12-09

Title: Simple Definition Of Time Intervals
Description: Simple definition of time intervals for the current, previous, and next week, month, quarter and year.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package SpatialExtremes updated to version 2.0-7.3 with previous version 2.0-7.2 dated 2019-08-02

Title: Modelling Spatial Extremes
Description: Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (although not completely in agreement with the extreme value theory) are available such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) <doi:10.1214/11-STS376>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013) <doi:10.1093/biomet/ass067>.
Author: Mathieu Ribatet [aut, cre], Richard Singleton [ctb], R Core team [ctb]
Maintainer: Mathieu Ribatet <mathieu.ribatet@umontpellier.fr>

Diff between SpatialExtremes versions 2.0-7.2 dated 2019-08-02 and 2.0-7.3 dated 2020-01-09

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Package farver updated to version 2.0.2 with previous version 2.0.0 dated 2019-11-13

Title: High Performance Colour Space Manipulation
Description: The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Berendea Nicolae [aut] (Author of the ColorSpace C++ library), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between farver versions 2.0.0 dated 2019-11-13 and 2.0.2 dated 2020-01-09

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Package lcpm updated to version 0.1.1 with previous version 0.1.0 dated 2019-01-17

Title: Ordinal Outcomes: Generalized Linear Models with the Log Link
Description: An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.
Author: Gurbakhshash Singh and Gordon Hilton Fick
Maintainer: Gurbakhshash Singh <gsingh@ccsu.edu>

Diff between lcpm versions 0.1.0 dated 2019-01-17 and 0.1.1 dated 2020-01-09

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Package ggimage updated to version 0.2.7 with previous version 0.2.5 dated 2019-11-29

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package drgee updated to version 1.1.10 with previous version 1.1.9 dated 2019-09-17

Title: Doubly Robust Generalized Estimating Equations
Description: Fit restricted mean models for the conditional association between an exposure and an outcome, given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both. For more information, see Zetterqvist and Sjölander (2015) <doi:10.1515/em-2014-0021>.
Author: Johan Zetterqvist <drjohanzetterqvist at gmail.com> , Arvid Sjölander <arvid.sjolander at ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <drjohanzetterqvist@gmail.com>

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Package sharpshootR (with last version 1.5.1) was removed from CRAN

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

2019-12-05 1.5.1
2019-11-20 1.5

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Package marinespeed (with last version 0.1.0) was removed from CRAN

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

2017-02-17 0.1.0

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Package dlookr updated to version 0.3.13 with previous version 0.3.12 dated 2019-10-21

Title: Tools for Data Diagnosis, Exploration, Transformation
Description: A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values and outliers and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support these three tasks.
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>

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Package PopGenome (with last version 2.7.1) was removed from CRAN

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

2019-05-11 2.7.1
2018-05-20 2.6.1

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Package bomrang (with last version 0.6.1) was removed from CRAN

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2020-01-07 0.6.1
2019-07-04 0.6.0
2019-03-21 0.5.0
2018-09-12 0.4.0
2018-08-15 0.3.0
2018-07-19 0.2.2
2018-06-16 0.2.1
2018-05-19 0.2.0
2018-03-26 0.1.4
2017-12-15 0.1.1
2017-12-04 0.1.0
2017-10-27 0.0.8
2017-09-23 0.0.7

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

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2020-01-08 0.3.0
2019-11-30 0.2.0

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Package PCMBaseCpp (with last version 0.1.7) was removed from CRAN

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

2019-11-21 0.1.7
2019-11-11 0.1.6
2019-10-06 0.1.5

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Package MlBayesOpt (with last version 0.3.4) was removed from CRAN

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

2019-03-20 0.3.4
2017-10-23 0.3.3

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Package SCRT updated to version 1.3.1 with previous version 1.3.0 dated 2019-07-25

Title: Single-Case Randomization Tests
Description: Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
Author: Isis Bulte, Tamal Kumar De, Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCRT versions 1.3.0 dated 2019-07-25 and 1.3.1 dated 2020-01-09

 DESCRIPTION         |   10 +++++-----
 MD5                 |    4 ++--
 man/SCRT-package.Rd |    6 +++---
 3 files changed, 10 insertions(+), 10 deletions(-)

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Package SCMA updated to version 1.3.1 with previous version 1.3.0 dated 2019-07-25

Title: Single-Case Meta-Analysis
Description: Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method), as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
Author: Isis Bulte, Tamal Kumar De, Patrick Onghena
Maintainer: Tamal Kumar De <tamalkumar.de@kuleuven.be>

Diff between SCMA versions 1.3.0 dated 2019-07-25 and 1.3.1 dated 2020-01-09

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 3 files changed, 10 insertions(+), 10 deletions(-)

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Package PAFit updated to version 1.0.1.6 with previous version 1.0.1.5 dated 2019-12-20

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe@gmail.com>

Diff between PAFit versions 1.0.1.5 dated 2019-12-20 and 1.0.1.6 dated 2020-01-09

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 PAFit-1.0.1.6/PAFit/DESCRIPTION                    |   10 
 PAFit-1.0.1.6/PAFit/MD5                            |   60 +-
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 PAFit-1.0.1.6/PAFit/R/CreateDataCV.R               |   64 +-
 PAFit-1.0.1.6/PAFit/R/CreateDataCV_onlyA.R         |    3 
 PAFit-1.0.1.6/PAFit/R/Jeong.R                      |    4 
 PAFit-1.0.1.6/PAFit/R/Newman.R                     |    4 
 PAFit-1.0.1.6/PAFit/R/OnlyA_CV.R                   |    7 
 PAFit-1.0.1.6/PAFit/R/OnlyF_CV.R                   |    7 
 PAFit-1.0.1.6/PAFit/R/PAFit.R                      |  478 +++++++--------------
 PAFit-1.0.1.6/PAFit/R/from_igraph.R                |    2 
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 PAFit-1.0.1.6/PAFit/R/graph_to_file.R              |    2 
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 PAFit-1.0.1.6/PAFit/R/only_A_estimate.R            |   21 
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 PAFit-1.0.1.6/PAFit/R/performCV_core_new_new.R     |  146 ++++--
 PAFit-1.0.1.6/PAFit/R/performCV_old_new.R          |   17 
 PAFit-1.0.1.6/PAFit/R/plot.pa_result.R             |    2 
 PAFit-1.0.1.6/PAFit/R/plot.pafit_result.r          |    2 
 PAFit-1.0.1.6/PAFit/R/print.PAFit_net.R            |    1 
 PAFit-1.0.1.6/PAFit/R/summary.PAFit_net.R          |    1 
 PAFit-1.0.1.6/PAFit/R/to_igraph.R                  |    2 
 PAFit-1.0.1.6/PAFit/R/to_networkDynamic.R          |    2 
 PAFit-1.0.1.6/PAFit/inst/NEWS.Rd                   |    9 
 PAFit-1.0.1.6/PAFit/man/PAFit-package.Rd           |    4 
 PAFit-1.0.1.6/PAFit/man/get_statistics.Rd          |    4 
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 32 files changed, 441 insertions(+), 670 deletions(-)

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Package catchr updated to version 0.2.2 with previous version 0.2.1 dated 2019-07-09

Title: Taking the Pain Out of Catching and Handling Conditions
Description: R has a unique way of dealing with warnings, errors, messages, and other conditions, but it can often be troublesome to users coming from different programming backgrounds. The purpose of this package is to provide flexible and useful tools for handling R conditions with less hassle. In order to lower the barrier of entry, keep code clean and readable, and reduce the amount of typing required, `catchr` uses a very simple domain-specific language that simplifies things on the front-end. This package aims to maintain a continuous learning curve that lets new users jump straight in to condition-handling, while simultaneously offering depth and complexity for more advanced users.
Author: Zachary Burchill [aut, cre, cph]
Maintainer: Zachary Burchill <zach.burchill.code@gmail.com>

Diff between catchr versions 0.2.1 dated 2019-07-09 and 0.2.2 dated 2020-01-09

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 R/catching-n-plans.R            |   20 +++++----
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 man/catchr-DSL.Rd               |   14 +++---
 tests/testthat/test-testing.R   |   51 +++++++++++++++++++++++-
 11 files changed, 174 insertions(+), 75 deletions(-)

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