Sat, 18 Sep 2021

Package PMwR updated to version 0.16-1 with previous version 0.16-0 dated 2021-01-19

Title: Portfolio Management with R
Description: Functions and examples for 'Portfolio Management with R': backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package httpgd updated to version 1.2.0 with previous version 1.1.1 dated 2021-04-02

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] (<https://orcid.org/0000-0002-1795-8624>), Kun Ren [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [cph] (Author of included svglite code), Lionel Henry [cph] (Author of included svglite code), Thomas Lin Pedersen [cph] (Author and creator of included svglite code), T Jake Luciani [cph] (Author of included svglite code), Matthieu Decorde [cph] (Author of included svglite code), Vaudor Lise [cph] (Author of included svglite code), Tony Plate [cph] (Contributor to included svglite code), David Gohel [cph] (Contributor to included svglite code), Yixuan Qiu [cph] (Contributor to included svglite code), Håkon Malmedal [cph] (Contributor to included svglite code), RStudio [cph] (Copyright holder of included svglite code), Brett Robinson [cph] (Author of included belle library), Google [cph] (Copyright holder of included material design icons), Victor Zverovich [cph] (Author of included fmt library)
Maintainer: Florian Rupprecht <floruppr@gmail.com>

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Package sylcount updated to version 0.2-3 with previous version 0.2-2 dated 2020-02-23

Title: Syllable Counting and Readability Measurements
Description: An English language syllable counter, plus readability score measure-er. For readability, we support 'Flesch' Reading Ease and 'Flesch-Kincaid' Grade Level ('Kincaid' 'et al'. 1975) <https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=1055&context=istlibrary>, Automated Readability Index ('Senter' and Smith 1967) <https://apps.dtic.mil/sti/citations/AD0667273>, Simple Measure of Gobbledygook (McLaughlin 1969) <https://www.semanticscholar.org/paper/SMOG-Grading-A-New-Readability-Formula.-Laughlin/5fccb74c14769762b3de010c5e8a1a7ce700d17a>, and 'Coleman-Liau' (Coleman and 'Liau' 1975) <doi:10.1037/h0076540>. The package has been carefully optimized and should be very efficient, both in terms of run time performance and memory consumption. The main methods are 'vectorized' by document, and scores for multiple documents are computed in parallel via 'OpenMP'.
Author: Drew Schmidt [aut, cre]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between sylcount versions 0.2-2 dated 2020-02-23 and 0.2-3 dated 2021-09-18

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Package miRetrieve updated to version 1.3.4 with previous version 1.3.2 dated 2021-08-13

Title: miRNA Text Mining in Abstracts
Description: Providing tools for microRNA (miRNA) text mining. miRetrieve summarizes miRNA literature by extracting, counting, and analyzing miRNA names, thus aiming at gaining biological insights into a large amount of text within a short period of time. To do so, miRetrieve uses regular expressions to extract miRNAs and tokenization to identify meaningful miRNA associations. In addition, miRetrieve uses the latest miRTarBase version 8.0 (Hsi-Yuan Huang et al. (2020) "miRTarBase 2020: updates to the experimentally validated microRNA–target interaction database" <doi:10.1093/nar/gkz896>) to display field-specific miRNA-mRNA interactions. The most important functions are available as a Shiny web application under <https://miretrieve.shinyapps.io/miRetrieve/>.
Author: Julian Friedrich [aut, cre], Hans-Peter Hammes [aut], Guido Krenning [aut]
Maintainer: Julian Friedrich <julian.friedrich@medma.uni-heidelberg.de>

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Package AdhereR updated to version 0.7.0 with previous version 0.6.1 dated 2020-05-12

Title: Adherence to Medications
Description: Computation of adherence to medications from Electronic Health care Data and visualization of individual medication histories and adherence patterns. The package implements a set of S3 classes and functions consistent with current adherence guidelines and definitions. It allows the computation of different measures of adherence (as defined in the literature, but also several original ones), their publication-quality plotting, the estimation of event duration and time to initiation, the interactive exploration of patient medication history and the real-time estimation of adherence given various parameter settings. It scales from very small datasets stored in flat CSV files to very large databases and from single-thread processing on mid-range consumer laptops to parallel processing on large heterogeneous computing clusters. It exposes a standardized interface allowing it to be used from other programming languages and platforms, such as Python.
Author: Dan Dediu [aut, cre], Alexandra Dima [aut], Samuel Allemann [aut]
Maintainer: Dan Dediu <ddediu@gmail.com>

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Package mark updated to version 0.3.0 with previous version 0.2.0 dated 2021-08-23

Title: Miscellaneous, Analytic R Kernels
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre] (0000-0001-9788-3628)
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package arkhe updated to version 0.4.0 with previous version 0.3.1 dated 2021-05-14

Title: Representation of Archaeological Data
Description: A collection of classes that represent archaeological data. This package provides a set of S4 classes that represent different special types of matrix (absolute/relative frequency, presence/absence data, co-occurrence matrix, etc.) upon which package developers can build subclasses. It also provides a set of generic methods (mutators and coercion mechanisms) and functions (e.g. summary statistics, predicates). In addition, a few classes of general interest (e.g. that represent stratigraphic relationships) are implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package viscomplexr updated to version 1.1.1 with previous version 1.1.0 dated 2020-12-11

Title: Phase Portraits of Functions in the Complex Number Plane
Description: Functionality for creating phase portraits of functions in the complex number plane. Works with R base graphics, whose full functionality is available. Parallel processing is used for optimum performance.
Author: Peter Biber [aut, cre] (<https://orcid.org/0000-0002-9700-8708>)
Maintainer: Peter Biber <castor.fiber@gmx.de>

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Package tesseract updated to version 4.1.2 with previous version 4.1.1 dated 2021-05-10

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract' <https://opensource.google/projects/tesseract>: a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package rmcfs updated to version 1.3.5 with previous version 1.3.4 dated 2021-07-08

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) <doi:10.18637/jss.v085.i12>.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>

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Package seastests updated to version 0.15.4 with previous version 0.14.2 dated 2019-03-08

Title: Seasonality Tests
Description: An overall test for seasonality of a given time series in addition to a set of individual seasonality tests as described by Ollech and Webel (forthcoming): An overall seasonality test. Bundesbank Discussion Paper.
Author: Daniel Ollech [aut, cre]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>

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Package dlr updated to version 1.0.1 with previous version 1.0.0 dated 2021-09-06

Title: Download and Cache Files Safely
Description: The goal of dlr is to provide a friendly wrapper around the common pattern of downloading a file if that file does not already exist locally.
Author: Jonathan Bratt [aut] (<https://orcid.org/0000-0003-2859-0076>), Jon Harmon [aut, cre] (<https://orcid.org/0000-0003-4781-4346>), Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph, fnd]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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Package dimensio updated to version 0.2.2 with previous version 0.2.1 dated 2021-05-17

Title: Multivariate Data Analysis
Description: Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984) <isbn: 978-0-12-299050-2> and Lebart et al. (2006) <isbn: 978-2-10-049616-7>.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package seasonal updated to version 1.8.4 with previous version 1.8.3 dated 2021-06-15

Title: R Interface to X-13-ARIMA-SEATS
Description: Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. A graphical user interface can be used through the 'seasonalview' package. Uses the X-13-binaries from the 'x13binary' package.
Author: Christoph Sax [aut, cre] (<https://orcid.org/0000-0002-7192-7044>), Dirk Eddelbuettel [ctb] (<https://orcid.org/0000-0001-6419-907X>)
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package oncoPredict (with last version 0.1) was removed from CRAN

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

2021-06-04 0.1

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Package katex updated to version 1.3.0 with previous version 1.2.0 dated 2021-09-11

Title: Rendering Math to HTML, 'MathML', or R-Documentation Format
Description: Convert latex math expressions to HTML and 'MathML' for use in markdown documents or package manual pages. The rendering is done in R using the V8 engine (i.e. server-side), which eliminates the need for embedding the 'MathJax' library into your web pages. In addition a 'math-to-rd' wrapper is provided to automatically render beautiful math in R documentation files.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package LSX updated to version 1.0.2 with previous version 1.0.0 dated 2021-07-20

Title: Model for Semisupervised Text Analysis Based on Word Embeddings
Description: A word embeddings-based semisupervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package emoji updated to version 0.2.0 with previous version 0.1.0 dated 2021-07-27

Title: Data and Function to Work with Emojis
Description: Contains data about emojis with relevant metadata, and functions to work with emojis when they are in strings.
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>), Hadley Wickham [ctb] (Data parsing code from hadley/emo), Romain François [ctb] (Data parsing code from hadley/emo)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package skewlmm updated to version 1.0.0 with previous version 0.2.3 dated 2021-02-03

Title: Scale Mixture of Skew-Normal Linear Mixed Models
Description: It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.
Author: Fernanda L. Schumacher [aut, cre] (<https://orcid.org/0000-0002-5724-8918>), Larissa A. Matos [aut] (<https://orcid.org/0000-0002-2635-0901>), Victor H. Lachos [aut] (<https://orcid.org/0000-0002-7239-2459>)
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>

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Package sglg updated to version 0.1.10 with previous version 0.1.9 dated 2021-01-24

Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Description: Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right-censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Also, some numerical and graphical devices for diagnostic of the fitted models are offered.
Author: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com> and G. Paula and L. Vanegas
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package sasLM updated to version 0.6.3 with previous version 0.6.2 dated 2021-08-18

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package justifier updated to version 0.2.2 with previous version 0.2.1 dated 2021-09-06

Title: Human and Machine-Readable Justifications and Justified Decisions Based on 'YAML'
Description: Leverages the 'yum' package to implement a 'YAML' ('YAML Ain't Markup Language', a human friendly standard for data serialization; see <https:yaml.org>) standard for documenting justifications, such as for decisions taken during the planning, execution and analysis of a study or during the development of a behavior change intervention as illustrated by Marques & Peters (2019) <doi:10.17605/osf.io/ndxha>. These justifications are both human- and machine-readable, facilitating efficient extraction and organisation.
Author: Gjalt-Jorn Ygram Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Szilvia Zorgo [ctb] (<https://orcid.org/0000-0002-6916-2097>)
Maintainer: Gjalt-Jorn Ygram Peters <gjalt-jorn@behaviorchange.eu>

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