Fri, 05 Jul 2019

Package vctrs updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-29

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analyzing function interfaces.
Author: Hadley Wickham [aut, cre], Lionel Henry [aut], Davis Vaughan [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between vctrs versions 0.1.0 dated 2018-11-29 and 0.2.0 dated 2019-07-05

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More information about vctrs at CRAN
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Package udpipe updated to version 0.8.3 with previous version 0.8.2 dated 2019-05-29

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Straková [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.8.2 dated 2019-05-29 and 0.8.3 dated 2019-07-05

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Package StratifiedBalancing updated to version 0.3.0 with previous version 0.2.0 dated 2016-07-22

Title: Stratified Covariate Balancing
Description: Performs Stratified Covariate Balancing with Markov blanket feature selection and use of synthetic cases. See Alemi et al. (2016) <DOI:10.1111/1475-6773.12628>.
Author: Farrokh Alemi <falemi@gmu.edu> , Amr ElRafey <aelrafey@gmu.edu>
Maintainer: Amr ElRafey <aelrafey@gmu.edu>

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Package replyr updated to version 1.0.2 with previous version 1.0.1 dated 2019-07-04

Title: Patches to Use 'dplyr' on Remote Data Sources
Description: Patches to use 'dplyr' on remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Due to the fluctuating nature of 'dplyr'/'dbplyr'/'rlang' 'APIs' this package is going into maintenance mode. Most of the 'replyr' functions are already done better by one of the non-monolithic replacement packages: 'wrapr', 'seplyr', 'rquery', or 'cdata'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package portfolioBacktest updated to version 0.1.1 with previous version 0.1.0 dated 2019-06-19

Title: Automated Backtesting of Portfolios over Multiple Datasets
Description: Automated backtesting of multiple portfolios over multiple datasets of stock prices in a rolling-window fashion. Intended for researchers and practitioners to backtest a set of different portfolios, as well as by a course instructor to assess the students in their portfolio design in a fully automated and convenient manner, with results conveniently formatted in tables and plots. Each portfolio design is easily defined as a function that takes as input a window of the stock prices and outputs the portfolio weights. Multiple portfolios can be easily specified as a list of functions or as files in a folder. Multiple datasets can be conveniently extracted randomly from different markets, different time periods, and different subsets of the stock universe. The results can be later assessed and ranked with tables based on a number of performance criteria (e.g., expected return, volatility, Sharpe ratio, drawdown, turnover rate, return on investment, computational time, etc.), as well as plotted in a number of ways with nice barplots and boxplots.
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

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Package neonUtilities updated to version 1.3.0 with previous version 1.2.2 dated 2019-05-24

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <http://data.neonscience.org> or through the NEON Data API (see <http://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Christine Laney <claney@battelleecology.org>, Claire Lunch <clunch@battelleecology.org>
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package ggnewscale updated to version 0.3.0 with previous version 0.2.0 dated 2019-03-17

Title: Multiple Fill and Color Scales in 'ggplot2'
Description: Use multiple fill and color scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut] (<https://orcid.org/0000-0002-7742-9230>)
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package searcher updated to version 0.0.4 with previous version 0.0.3 dated 2018-07-01

Title: Query Search Interfaces
Description: Provides a search interface to look up terms on 'Google', 'Bing', 'DuckDuckGo', 'Startpage', 'StackOverflow', 'RStudio Community', 'GitHub', and 'BitBucket'. Upon searching, a browser window will open with the aforementioned search results.
Author: James Balamuta [aut, cre] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Balamuta <balamut2@illinois.edu>

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New package tsensembler with initial version 0.0.5
Package: tsensembler
Title: Dynamic Ensembles for Time Series Forecasting
Version: 0.0.5
Authors@R: c(person("Vitor", "Cerqueira", email = "cerqueira.vitormanuel@gmail.com", role = c("aut", "cre")), person("Luis", "Torgo", role = "ctb"), person("Carlos", "Soares", role = "ctb"))
Author: Vitor Cerqueira [aut, cre], Luis Torgo [ctb], Carlos Soares [ctb]
Maintainer: Vitor Cerqueira <cerqueira.vitormanuel@gmail.com>
Description: A framework for dynamically combining forecasting models for time series forecasting predictive tasks. It leverages machine learning models from other packages to automatically combine expert advice using metalearning and other state-of-the-art forecasting combination approaches. The predictive methods receive a data matrix as input, representing an embedded time series, and return a predictive ensemble model. The ensemble use generic functions 'predict()' and 'forecast()' to forecast future values of the time series. Moreover, an ensemble can be updated using methods, such as 'update_weights()' or 'update_base_models()'. A complete description of the methods can be found in: Cerqueira, V., Torgo, L., Pinto, F., and Soares, C. "Arbitrated Ensemble for Time Series Forecasting." to appear at: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017; and Cerqueira, V., Torgo, L., and Soares, C.: "Arbitrated Ensemble for Solar Radiation Forecasting." International Work-Conference on Artificial Neural Networks. Springer, 2017 <doi:10.1007/978-3-319-59153-7_62>.
Imports: xts, RcppRoll, methods, ranger, glmnet, earth, kernlab, Cubist, nnet, gbm, zoo, pls, forecast, opera, parallel, doParallel, foreach, xgboost, softImpute
Suggests: testthat
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: http://github.com/vcerqueira/tsensembler
NeedsCompilation: no
Packaged: 2019-07-05 17:02:04 UTC; root
Repository: CRAN
Date/Publication: 2019-07-05 18:00:03 UTC

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Package tmt updated to version 0.2.1-0 with previous version 0.1.9-3 dated 2019-04-01

Title: Estimation of the Rasch Model for Multistage Tests
Description: Provides conditional maximum likelihood (CML) estimation of item parameters in multistage designs (Zwitser & Maris, 2013, <doi:10.1007/s11336-013-9369-6>) and CML estimation for conventional designs. Additional features are the likelihood ratio test (Andersen, 1973, <doi:10.1007/BF02291180>) and simulation of multistage designs.
Author: Jan Steinfeld [cre, aut] (<https://orcid.org/0000-0001-9853-8260>), Alexander Robitzsch [aut] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Jan Steinfeld <jan.d.steinfeld@gmail.com>

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Package statar updated to version 0.7.1 with previous version 0.7.0 dated 2019-02-20

Title: Tools Inspired by 'Stata' to Manipulate Tabular Data
Description: A set of tools inspired by 'Stata' to explore data.frames ('summarize', 'tabulate', 'xtile', 'pctile', 'binscatter', elapsed quarters/month, lead/lag).
Author: Matthieu Gomez [aut, cre]
Maintainer: Matthieu Gomez <mg3901@columbia.edu>

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Package soundgen updated to version 1.4.1 with previous version 1.4.0 dated 2019-03-13

Title: Parametric Voice Synthesis
Description: Tools for sound synthesis and acoustic analysis. Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also includes tools for spectral analysis, pitch tracking, audio segmentation, self-similarity matrices, morphing, etc.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <rty.anik@rambler.ru>

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Package mwshiny updated to version 1.1.0 with previous version 1.0.0 dated 2019-06-09

Title: 'Shiny' for Multiple Windows
Description: A simple function, mwsApp(), that runs a 'shiny' app spanning multiple, connected windows. This uses all standard 'shiny' conventions, and depends only on the 'shiny' package.
Author: Hannah De los Santos [aut, cre], John Erickson [aut], Nicholas Thomson [ctb], Kristin Bennett [aut]
Maintainer: Hannah De los Santos <delosh@rpi.edu>

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Package imputeTestbench updated to version 3.0.3 with previous version 3.0.2 dated 2019-04-04

Title: Test Bench for the Comparison of Imputation Methods
Description: Provides a test bench for the comparison of missing data imputation methods in uni-variate time series. Imputation methods are compared using different error metrics. Proposed imputation methods and alternative error metrics can be used.
Author: Neeraj Bokde [aut], Marcus W. Beck [cre, aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

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Package AnthropMMD updated to version 3.0.0 with previous version 2.5.3 dated 2019-03-18

Title: An R Package for Smith's Mean Measure of Divergence (MMD)
Description: Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations <doi:10.1002/ajpa.23336>.
Author: Frédéric Santos [aut, cre] (<https://orcid.org/0000-0003-1445-3871>)
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

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Package table.express updated to version 0.2.0 with previous version 0.1.1 dated 2019-06-03

Title: Build 'data.table' Expressions with Data Manipulation Verbs
Description: A specialization of 'dplyr' data manipulation verbs that parse and build expressions which are ultimately evaluated by 'data.table', letting it handle all optimizations. A set of additional verbs is also provided to facilitate some common operations on a subset of the data.
Author: Alexis Sarda-Espinosa [cre, aut]
Maintainer: Alexis Sarda-Espinosa <alexis.sarda@gmail.com>

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Package rrd updated to version 0.2.2 with previous version 0.2.1 dated 2018-07-05

Title: Import Data from a RRD (Round Robin Database) File
Description: Makes it easy to import the data from a 'RRD' database (<https://oss.oetiker.ch/rrdtool/>) directly into R data structures. The resulting objects are 'tibble' objects or a list of 'tibble' objects, making it easy to manipulate the data. The package uses `librrd` to import the numerical data in a `RRD` database directly into R data structures without using intermediate formats.
Author: Andrie de Vries [cre, cph], Plamen Dimitrov [aut, cph], Tobias Oettiker [cph] (rrdtool and rrd library, https://oss.oetiker.ch/rrdtool/)
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package exampletestr updated to version 1.5.0 with previous version 1.4.2 dated 2019-05-31

Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of functions and use them to create shells (skeletons which must be manually completed by the user) of test files to be tested with the 'testthat' package. Sort of like python 'doctests' for R.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Thomas Quinn [rev] (<https://orcid.org/0000-0003-0286-6329>), Laurent Gatto [rev] (<https://orcid.org/0000-0002-1520-2268>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package GUTS updated to version 1.1.1 with previous version 1.1.0 dated 2019-02-12

Title: Fast Calculation of the Likelihood of a Stochastic Survival Model
Description: Given exposure and survival time series as well as parameter values, GUTS allows for the fast calculation of the survival probabilities as well as the logarithm of the corresponding likelihood.
Author: Carlo Albert <carlo.albert@eawag.ch>, Sören Vogel <soeren.vogel@posteo.ch>, Oliver Jakoby <oliver.jakoby@rifcon.de>, Alexander Singer <alexander.singer@rifcon.de> and Dirk Nickisch <dirk.nickisch@rifcon.de>
Maintainer: Oliver Jakoby <oliver.jakoby@rifcon.de>

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Package genMOSSplus (with last version 1.0) was removed from CRAN

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

2013-08-28 1.0

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Package coda updated to version 0.19-3 with previous version 0.19-2 dated 2018-10-08

Title: Output Analysis and Diagnostics for MCMC
Description: Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain.
Author: Martyn Plummer [aut, cre, trl], Nicky Best [aut], Kate Cowles [aut], Karen Vines [aut], Deepayan Sarkar [aut], Douglas Bates [aut], Russell Almond [aut], Arni Magnusson [aut]
Maintainer: Martyn Plummer <martyn.plummer@gmail.com>

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Package HellCor (with last version 1.1) was removed from CRAN

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

2019-06-05 1.1
2018-11-02 1.0.1

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New package ternvis with initial version 1.2
Package: ternvis
Type: Package
Title: Visualisation, Verification and Calibration of Ternary Probabilistic Forecasts
Version: 1.2
Date: 2019-07-05
Author: Tim Jupp
Maintainer: Tim Jupp <T.E.Jupp@exeter.ac.uk>
Description: A suite of functions for visualising ternary probabilistic forecasts, as discussed in the paper by Jupp (2012) <doi:10.1098/rsta.2011.0350>.
Imports: quadprog, maps, dichromat, grid, stats, graphics, grDevices
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-05 12:03:10 UTC; tej202
Repository: CRAN
Date/Publication: 2019-07-05 12:30:04 UTC

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Package sf updated to version 0.7-6 with previous version 0.7-5 dated 2019-07-03

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Kirill Müller [ctb], Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 0.7-5 dated 2019-07-03 and 0.7-6 dated 2019-07-05

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Package rvinecopulib updated to version 0.3.2.1.1 with previous version 0.3.2.1.0 dated 2019-07-04

Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine copula modeling based on 'Boost' and 'Eigen'. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families. The 'rvinecopulib' package includes 'vinecopulib' as header-only C++ library (currently version 0.3.1). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>

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Package oceanis updated to version 0.8.6 with previous version 0.8.5 dated 2019-05-27

Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
Author: Sébastien CALVET - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [cre, aut], Sophie AUDRIC - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [aut], SED - DR Hauts-de-France - INSEE [ctb], PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb], PSAR-EEP - DR Occitanie - INSEE [ctb], SED - DR Pays-de-la-Loire - INSEE [ctb]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>

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Package esmprep updated to version 0.2.0 with previous version 0.1.4 dated 2018-04-18

Title: Data Preparation During and After the Use of the Experience Sampling Methodology (ESM)
Description: Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data.
Author: Marcel Miché <esmprep@gmail.com>
Maintainer: Marcel Miché <esmprep@gmail.com>

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Package AzureKusto updated to version 1.0.2 with previous version 1.0.1 dated 2019-04-25

Title: Interface to 'Kusto'/'Azure Data Explorer'
Description: An interface to 'Azure Data Explorer', also known as 'Kusto', a fast, highly scalable data exploration service from Microsoft: <https://azure.microsoft.com/en-us/services/data-explorer/>. Includes 'DBI' and 'dplyr' interfaces, with the latter modelled after the 'dbplyr' package, whereby queries are translated from R into the native 'KQL' query language and executed lazily. On the admin side, the package extends the object framework provided by 'AzureRMR' to support creation and deletion of databases, and management of database principals. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Alex Kyllo [aut], dbplyr development team [cph] (Original framework for dplyr/database interface), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package ptmixed updated to version 0.2.1 with previous version 0.1.2 dated 2019-06-14

Title: Poisson-Tweedie Generalized Linear Mixed Model
Description: Fits Poisson-Tweedie generalized linear mixed model. Likelihood approximation based on adaptive Gauss Hermite quadrature rule.
Author: Mirko Signorelli [aut, cre], Pietro Spitali [aut], Roula Tsonaka [aut]
Maintainer: Mirko Signorelli <m.signorelli@lumc.nl>

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Package DataViz updated to version 0.2.7 with previous version 0.2.5 dated 2019-05-23

Title: Data Visualisation Using an HTML Page and 'D3.js'
Description: Gives access to data visualisation methods that are relevant from the statistician's point of view. Using 'D3''s existing data visualisation tools to empower R language and environment. The throw chart method is a line chart used to illustrate paired data sets (such as before-after, male-female).
Author: Timothy Bell [aut, cre], Christophe Genolini [aut, ths]
Maintainer: Timothy Bell <horia.yeb@gmail.com>

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Package Xplortext updated to version 1.2.1 with previous version 1.1.1 dated 2018-01-23

Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://www.xplortext.org> for examples.
Author: Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-Espigares
Maintainer: Ramón Alvarez-Esteban <ramon.alvarez@unileon.es>

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Package swephR updated to version 0.2.0 with previous version 0.1.5 dated 2019-02-18

Title: High Precision Swiss Ephemeris
Description: The Swiss Ephemeris (version 2.08) is a high precision ephemeris based upon the DE431 ephemerides from NASA's JPL. It covers the time range 13201 BCE to 17191 CE. This package uses the semi-analytic theory by Steve Moshier. For faster and more accurate calculations, the compressed Swiss Ephemeris data is available in the 'swephRdata' package. To access this data package, run 'install.packages("swephRdata", repos = "https://rstub.github.io/drat/", type = "source")'. The size of the 'swephRdata' package is approximately 115 MB. The user can also use the original JPL DE431 data.
Author: Ralf Stubner [aut, cre], Victor Reijs [aut], Authors and copyright holder of the Swiss Ephemeris [aut, cph] (see LICENSE for details)
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>

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Package interactions updated to version 1.1.1 with previous version 1.1.0 dated 2019-04-28

Title: Comprehensive, User-Friendly Toolkit for Probing Interactions
Description: A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package groupdata2 updated to version 1.1.1 with previous version 1.1.0 dated 2019-06-24

Title: Creating Groups from Data
Description: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package BioMedR updated to version 1.2.1 with previous version 1.1.2 dated 2019-04-04

Title: Generating Various Molecular Representations for Chemicals, Proteins, DNAs, RNAs and Their Interactions
Description: Calculating 293 chemical descriptors and 14 kinds of chemical fingerprints, 9920 protein descriptors based on protein sequences, more than 6000 DNA/RNA descriptors from nucleotide sequences, and six types of interaction descriptors using three different combining strategies.
Author: Min-feng Zhu <wind2zhu@163.com>, Jie Dong <biomed@csu.edu.cn>, Dong-sheng Cao <oriental-cds@163.com>
Maintainer: Min-feng Zhu <wind2zhu@163.com>

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Package magicaxis updated to version 2.0.10 with previous version 2.0.7 dated 2019-03-08

Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

Diff between magicaxis versions 2.0.7 dated 2019-03-08 and 2.0.10 dated 2019-07-05

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Package deldir updated to version 0.1-22 with previous version 0.1-21 dated 2019-06-15

Title: Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Description: Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation.
Author: Rolf Turner
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

Diff between deldir versions 0.1-21 dated 2019-06-15 and 0.1-22 dated 2019-07-05

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