Thu, 02 May 2019

Package DesignLibrary updated to version 0.1.3 with previous version 0.1.2 dated 2018-11-12

Title: Library of Research Designs
Description: A simple interface to build designs using the package 'DeclareDesign'. In one line of code, users can specify the parameters of individual designs and diagnose their properties. The designers can also be used to compare performance of a given design across a range of combinations of parameters, such as effect size, sample size, and assignment probabilities.
Author: Graeme Blair [aut], Jasper Cooper [aut, cre], Alexander Coppock [aut], Macartan Humphreys [aut], Clara Bicalho [aut], Neal Fultz [aut], Lily Medina [aut]
Maintainer: Jasper Cooper <jjc2247@columbia.edu>

Diff between DesignLibrary versions 0.1.2 dated 2018-11-12 and 0.1.3 dated 2019-05-02

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Package HEMDAG updated to version 2.4.8 with previous version 2.4.7 dated 2019-03-18

Title: Hierarchical Ensemble Methods for Directed Acyclic Graphs
Description: An implementation of several Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs). 'HEMDAG' package: 1) reconciles flat predictions with the topology of the ontology; 2) can enhance predictions of virtually any flat learning methods by taking into account the hierarchical relationships between ontology classes; 3) always provides biologically consistent predictions according to the hierarchical nature of the ontology classes; 4) is specifically designed for exploiting the hierarchical relationships of DAG-structured taxonomies, such as the Human Phenotype Ontology (HPO) or the Gene Ontology (GO), but can be safely applied to tree-structured taxonomies as well (e.g. FunCat), since trees are DAGs; 5) scales nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples; 6) provides several utility functions to process and analyze graphs; 7) provides several performance metrics to evaluate HEMs algorithms. (Marco Notaro, Max Schubach, Peter N. Robinson and Giorgio Valentini (2017) <doi:10.1186/s12859-017-1854-y>).
Author: Marco Notaro [aut, cre] (<https://orcid.org/0000-0003-4309-2200>), Alessandro Petrini [ctb] (<https://orcid.org/0000-0002-0587-1484>), Giorgio Valentini [aut] (<https://orcid.org/0000-0002-5694-3919>)
Maintainer: Marco Notaro <marco.notaro@unimi.it>

Diff between HEMDAG versions 2.4.7 dated 2019-03-18 and 2.4.8 dated 2019-05-02

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Package pkgcopier (with last version 0.0.1) was removed from CRAN

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

2016-06-02 0.0.1

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New package RelimpPCR with initial version 0.2.4
Package: RelimpPCR
Type: Package
Title: Relative Importance PCA Regression
Version: 0.2.4
Date: 2019-05-01
Author: Michael Hernandez <hernandez@uchicago.edu>, Yuri Balasanov
Maintainer: Michael Hernandez <hernandez@uchicago.edu>
Description: Performs Principal Components Analysis (also known as PCA) dimensionality reduction in the context of a linear regression. In most cases, PCA dimensionality reduction is performed independent of the response variable for a regression. This captures the majority of the variance of the model's predictors, but may not actually be the optimal dimensionality reduction solution for a regression against the response variable. An alternative method, optimized for a regression against the response variable, is to use both PCA and a relative importance measure. This package applies PCA to a given data frame of predictors, and then calculates the relative importance of each PCA factor against the response variable. It outputs ordered factors that are optimized for model fit. By performing dimensionality reduction with this method, an individual can achieve a the same r-squared value as performing just PCA, but with fewer PCA factors. References: Yuri Balasanov (2017) <https://ilykei.com>.
Depends: R (>= 3.3.0)
Suggests: parallel, testthat
License: MIT + file LICENSE
URL: https://github.com/mhernan88/RelimpPCR
BugReports: https://github.com/mhernan88/RelimpPCR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: relaimpo, Rmisc, caret, ggplot2, reshape2
NeedsCompilation: no
Packaged: 2019-05-02 03:37:50 UTC; hernandez michael
Repository: CRAN
Date/Publication: 2019-05-02 18:20:10 UTC

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Package multinet updated to version 3.0.2 with previous version 3.0.1 dated 2019-03-20

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 this libraries has been included in our source package.
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

Diff between multinet versions 3.0.1 dated 2019-03-20 and 3.0.2 dated 2019-05-02

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Package fs updated to version 1.3.0 with previous version 1.2.7 dated 2019-03-19

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between fs versions 1.2.7 dated 2019-03-19 and 1.3.0 dated 2019-05-02

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Package SAR updated to version 1.0.1 with previous version 1.0.0 dated 2019-02-01

Title: Smart Adaptive Recommendations
Description: 'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
Author: Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] (source for MS sample datasets), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between SAR versions 1.0.0 dated 2019-02-01 and 1.0.1 dated 2019-05-02

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Package survPen updated to version 1.1.0 with previous version 1.0.1 dated 2019-03-01

Title: Multidimensional Penalized Splines for Survival and Net Survival Models
Description: Fits hazard and excess hazard models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates.
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

Diff between survPen versions 1.0.1 dated 2019-03-01 and 1.1.0 dated 2019-05-02

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Package nestfs updated to version 0.9.2 with previous version 0.9.1 dated 2018-12-16

Title: Cross-Validated (Nested) Forward Selection
Description: Implementation of forward selection based on cross-validated linear and logistic regression.
Author: Marco Colombo [aut, cre] (<https://orcid.org/0000-0001-6672-0623>), Felix Agakov [ctb]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

Diff between nestfs versions 0.9.1 dated 2018-12-16 and 0.9.2 dated 2019-05-02

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Package sinx updated to version 0.0.11 with previous version 0.0.5 dated 2019-03-22

Title: Sino Xmen Said
Description: Displays a pseudorandom message from a database of quotations. It works as an advanced version of the package 'fortunes', while 'sinx' supports multi-byte languages such as Chinese. The databases of 'sinx' can be given in markdown format, which is easier and more friendly than spread sheets for users.
Author: Peng Zhao [aut, cre]
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package gtrendsR updated to version 1.4.3 with previous version 1.4.2 dated 2018-08-04

Title: Perform and Display Google Trends Queries
Description: An interface for retrieving and displaying the information returned online by Google Trends is provided. Trends (number of hits) over the time as well as geographic representation of the results can be displayed.
Author: Philippe Massicotte [aut, cre], Dirk Eddelbuettel [aut]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

Diff between gtrendsR versions 1.4.2 dated 2018-08-04 and 1.4.3 dated 2019-05-02

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Package RFishBC updated to version 0.2.2 with previous version 0.2.0 dated 2018-12-18

Title: Back-Calculation of Fish Length
Description: Helps fisheries scientists collect measurements from calcified structures and back-calculate estimated lengths at previous ages using standard procedures and models. This is intended to replace much of the functionality provided by the now out-dated 'fishBC' software (<https://fisheries.org/bookstore/all-titles/software/70317/>).
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>)
Maintainer: Derek Ogle <derek@derekogle.com>

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Package nowcasting updated to version 1.1.1 with previous version 1.1.0 dated 2019-04-24

Title: Predicting Economic Variables using Dynamic Factor Models
Description: It contains the tools to implement dynamic factor models to forecast economic variables. The user will be able to construct pseudo real time vintages, use information criteria for determining the number of factors and shocks, estimate the model, and visualize results among other things.
Author: Daiane Marcolino de Mattos [aut, cre], Pedro Costa Ferreira [aut], Serge de Valk [aut], Guilherme Branco Gomes [aut]
Maintainer: Daiane Marcolino de Mattos <daiane.mattos@fgv.br>

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Package dynutils updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-21

Title: Common Functionality for the 'dynverse' Packages
Description: Provides common functionality for the 'dynverse' packages. 'dynverse' is created to support the development, execution, and benchmarking of trajectory inference methods. For more information, check out <dynverse.org>.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package youtubecaption updated to version 0.1.1 with previous version 0.1.0 dated 2019-05-01

Title: Downloading YouTube Subtitle Transcription in a Tidy 'Tibble' Data_Frame
Description: Although there exist some R packages tailored for YouTube API (e.g., 'tuber'), downloading YouTube video subtitle (i.e., caption) in a tidy form has never been a low-hanging fruit. Using 'youtube-transcript-api Python package' under the hood, this R package provides users with a convenient way of parsing and converting a desired YouTube caption into a handy 'tibble' data_frame object. Furthermore, users can easily save a desired YouTube caption data as a tidy Excel file without advanced programming background knowledge.
Author: JooYoung Seo [aut, cre] (<https://orcid.org/0000-0002-4064-6012>), Soyoung Choi [aut] (<https://orcid.org/0000-0002-0998-3352>)
Maintainer: JooYoung Seo <jooyoung@psu.edu>

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Package schoRsch updated to version 1.6 with previous version 1.5 dated 2018-12-15

Title: Tools for Analyzing Factorial Experiments
Description: Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.
Author: Roland Pfister, Markus Janczyk
Maintainer: Roland Pfister <roland.pfister@psychologie.uni-wuerzburg.de>

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Package rosr updated to version 0.0.7 with previous version 0.0.6 dated 2019-03-23

Title: Create Reproducible Research Projects
Description: Creates reproducible academic projects with integrated academic elements, including datasets, references, codes, images, manuscripts, dissertations, slides and so on. These elements are well connected so that they can be easily synchronized and updated.
Author: Peng Zhao [aut, cre]
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package rentrez updated to version 1.2.2 with previous version 1.2.1 dated 2018-03-05

Title: 'Entrez' in R
Description: Provides an R interface to the NCBI's 'EUtils' API, allowing users to search databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and 'PubMed' <https://www.ncbi.nlm.nih.gov/pubmed/>, process the results of those searches and pull data into their R sessions.
Author: David Winter [aut, cre] (<https://orcid.org/0000-0002-6165-0029>), Scott Chamberlain [ctb] (<https://orcid.org/0000-0003-1444-9135>), Han Guangchun [ctb] (<https://orcid.org/0000-0001-9277-2507>)
Maintainer: David Winter <david.winter@gmail.com>

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Package pinyin updated to version 1.1.6 with previous version 1.1.5 dated 2018-12-17

Title: Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other Codes
Description: Convert Chinese characters into Pinyin (the official romanization system for Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See <https://en.wikipedia.org/wiki/Pinyin> for details), Sijiao (four or five numerical digits per character. See <https://en.wikipedia.org/wiki/Four-Corner_Method>.), Wubi (an input method with five strokes. See <https://en.wikipedia.org/wiki/Wubi_method>) or user-defined codes.
Author: Peng Zhao [aut, cre], Qu Cheng [ctb]
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package ouch updated to version 2.14-1 with previous version 2.11-1 dated 2017-07-18

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King <kingaa@umich.edu> and Marguerite A. Butler <mbutler@hawaii.edu>
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package mindr updated to version 1.2.2 with previous version 1.2.1 dated 2019-02-28

Title: Convert Files Between Markdown or Rmarkdown Files and Mindmaps
Description: Convert Markdown ('.md') or Rmarkdown ('.Rmd') files into mindmap widgets or files ('.mm'), and vice versa. FreeMind mindmap ('.mm') files can be opened by or imported to common mindmap software such as 'FreeMind' (<http://freemind.sourceforge.net/wiki/index.php/Main_Page>) and 'XMind' (<http://www.xmind.net>).
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package IRkernel updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-30

Title: Native R Kernel for the 'Jupyter Notebook'
Description: The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
Author: Thomas Kluyver [aut, cph], Philipp Angerer [aut, cph, cre] (<https://orcid.org/0000-0002-0369-2888>), Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

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Package geosapi updated to version 0.4-0 with previous version 0.3-0 dated 2018-09-12

Title: GeoServer REST API R Interface
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <http://docs.geoserver.org/stable/en/user/rest/>.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package FSA updated to version 0.8.23 with previous version 0.8.22 dated 2018-11-22

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>), Powell Wheeler [aut] (Added method='Burnham' to removal()), Alexis Dinno [aut] (Provided base functionality of dunnTest())
Maintainer: Derek Ogle <derek@derekogle.com>

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Package distrMod updated to version 2.8.2 with previous version 2.8.1 dated 2019-04-07

Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph] (for source file 'format.perc')
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package bookdownplus updated to version 1.5.7 with previous version 1.5.6 dated 2019-03-03

Title: Generate Assorted Books and Documents with R 'bookdown' Package
Description: A collection and selector of R 'bookdown' templates. 'bookdownplus' helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. R 'bookdownplus' extends the features of 'bookdown', and simplifies the procedure. Users only have to choose a template, clarify the book title and author name, and then focus on writing the text. No need to struggle in 'YAML' and 'LaTeX'.
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package beginr updated to version 0.1.7 with previous version 0.1.6 dated 2019-02-28

Title: Functions for R Beginners
Description: Useful functions for R beginners, including hints for the arguments of the 'plot()' function, self-defined functions for error bars, user-customized pair plots and hist plots, enhanced linear regression figures, etc.. This package could be helpful to R experts as well.
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

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Package rcheology updated to version 3.6.0.0 with previous version 3.5.3.0 dated 2019-03-12

Title: Data on Base Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base packages of R versions 1.0.1 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package lslx updated to version 0.6.6 with previous version 0.6.5 dated 2019-04-08

Title: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Description: Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) with elastic net (EN) or minimax concave penalty (MCP).
Author: Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]
Maintainer: Po-Hsien Huang <psyphh@gmail.com>

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Package mongolite updated to version 2.0.2 with previous version 2.0.1 dated 2019-03-05

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), MongoDB, Inc [cph] (Bundled mongo-c-driver, see AUTHORS file)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package Lahman updated to version 7.0-1 with previous version 6.0-0 dated 2017-08-15

Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2018, as recorded in the 2019 version of the database. Documentation examples show how many baseball questions can be investigated.
Author: Michael Friendly [aut], Chris Dalzell [cre, aut], Martin Monkman [aut], Dennis Murphy [aut], Vanessa Foot [ctb], Justeena Zaki-Azat [ctb]
Maintainer: Chris Dalzell <cdalzell@gmail.com>

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Package ipwErrorY updated to version 2.1 with previous version 2.0 dated 2019-04-27

Title: Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome
Description: An implementation of the correction methods proposed by Shu and Yi (2017) <doi:10.1177/0962280217743777> for the inverse probability weighted (IPW) estimation of average treatment effect (ATE) with misclassified binary outcomes. Logistic regression model is assumed for treatment model for all implemented correction methods, and is assumed for the outcome model for the implemented doubly robust correction method. Misclassification probability given a true value of the outcome is assumed to be the same for all individuals.
Author: Di Shu <shudi1991@gmail.com>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Di Shu <shudi1991@gmail.com>

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Package grattan updated to version 1.7.1.1 with previous version 1.7.1.0 dated 2019-03-23

Title: Australian Tax Policy Analysis
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/tax-drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], Matthew Katzen [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb], Matt Cowgill [aut]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

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Package dLagM updated to version 1.0.12 with previous version 1.0.10 dated 2018-10-22

Title: Time Series Regression Models with Distributed Lag Models
Description: Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Baltagi (2011) <doi:10.1007/978-3-642-20059-5> for more information.
Author: Haydar Demirhan [aut, cre, cph] (<https://orcid.org/0000-0002-8565-4710>)
Maintainer: Haydar Demirhan <haydar.demirhan@rmit.edu.au>

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Package Bessel updated to version 0.6-0 with previous version 0.5-5 dated 2013-12-10

Title: Computations and Approximations for Bessel Functions
Description: Computations for Bessel function for complex, real and partly 'mpfr' (arbitrary precision) numbers; notably interfacing TOMS 644; approximations for large arguments, experiments, etc.
Author: Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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 Bessel-0.6-0/Bessel/tests/zr_IJKY.rds           |only
 Bessel-0.6-0/Bessel/vignettes/Bessel.bib        |   78 
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 Bessel-0.6-0/Bessel/vignettes/other-Bessels.Rnw |  216 
 35 files changed, 4009 insertions(+), 3492 deletions(-)

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Package airGRteaching updated to version 0.2.6.29 with previous version 0.2.6.27 dated 2019-04-24

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('GĂ©nie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Laurent Coron [aut] (<https://orcid.org/0000-0002-1503-6204>), Pierre Brigode [aut] (<https://orcid.org/0000-0001-8257-0741>), Guillaume Thirel [ctb] (<https://orcid.org/0000-0002-1444-1830>)
Maintainer: Olivier Delaigue <airGR@irstea.fr>

Diff between airGRteaching versions 0.2.6.27 dated 2019-04-24 and 0.2.6.29 dated 2019-05-02

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 NEWS                  |   18 ++++++++++++++++--
 inst/ShinyGR/server.R |   18 +++++++++++++++---
 inst/ShinyGR/ui.R     |    4 ++--
 5 files changed, 41 insertions(+), 15 deletions(-)

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New package WCM with initial version 0.1.0
Package: WCM
Type: Package
Title: Water Cloud Model (WCM) for the Simulation of Leaf Area Index (LAI) and Soil Moisture (SM) in Satellite Earth Observation Data
Version: 0.1.0
Author: Ujjwal Singh <ujjwalrsmt@gmail.com> , Sumit kumar Chaudhry <sumit.mathe@gmail.com>
Maintainer: Ujjwal Singh <ujjwalrsmt@gmail.com>
Description: Retrieves the leaf area index (LAI) and soil moisture (SM) from synthetic aperture radar(SAR) for earth observation data using water cloud model (WCM) model inversion. The WCM algorithm attributed to Pervot et al. (1993)<doi:10.1016/0034-4257(93)90053-Z>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: pracma,stats,raster,rgdal
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 10:01:25 UTC; Ujjwal Singh
Repository: CRAN
Date/Publication: 2019-05-02 07:50:03 UTC

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New package heuristicsmineR with initial version 0.2.0
Package: heuristicsmineR
Type: Package
Title: Discovery of Process Models with the Heuristics Miner
Version: 0.2.0
Authors@R: person(given = "Felix", family = "Mannhardt", role = c("aut", "cre"), email = "felix.mannhardt@sintef.no")
Description: Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, BH
SystemRequirements: C++11
Depends: R (>= 2.10)
Imports: DiagrammeR (>= 1.0.0), magrittr, dplyr, processmapR (>= 0.3.1), petrinetR, bupaR, purrr, tidyr, rlang, scales, Rcpp, Rcpp11, ggplot2, ggthemes, data.table
Suggests: eventdataR, edeaR, svgPanZoom, DiagrammeRsvg
RoxygenNote: 6.1.1
URL: https://github.com/fmannhardt/heuristicsmineR
BugReports: https://github.com/fmannhardt/heuristicsmineR/issues
NeedsCompilation: yes
Packaged: 2019-05-01 10:12:45 UTC; felixm
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>
Repository: CRAN
Date/Publication: 2019-05-02 08:20:04 UTC

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New package EGAnet with initial version 0.4
Package: EGAnet
Title: Exploratory Graph Analysis: A Framework for Estimating the Number of Dimensions in Multivariate Data Using Network Psychometrics
Version: 0.4
Date: 2019-04-30
Authors@R: c(person("Hudson", "Golino", email = "hfg9s@virginia.edu", role = c("aut", "cre")), person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com", role = "ctb"))
Maintainer: Hudson Golino <hfg9s@virginia.edu>
Description: An implementation of the Exploratory Graph Analysis (EGA) framework for dimensionality assessment. EGA is part of a new area called network psychometrics that focuses on the estimation of undirected network models in psychological datasets. EGA estimates the number of dimensions or factors using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community analysis. A bootstrap method for verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be verified using confirmatory factor analysis and a direct way to convert the EGA structure to a confirmatory factor model is also implemented. Documentation and examples are available. Golino, H. F., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H. F., & Demetriou, A. (2017) <doi:10.1016/j.intell.2017.02.007> Golino, H., Shi, D., Garrido, L. E., Christensen, A. P., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2018) <doi:10.31234/osf.io/gzcre>. Christensen, A. P. & Golino, H.F. (2019) <doi:10.31234/osf.io/9deay>.
Depends: R (>= 2.10)
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: qgraph (>= 1.4.1), semPlot (>= 1.0.1), bootnet (>= 0.3), igraph (>= 1.0.1), lavaan (>= 0.5-22), doParallel (>= 1.0.10), foreach (>= 1.4.3), compiler, NetworkToolbox (>= 1.1.2), plyr (>= 1.8.4), glasso (>= 1.10), dplyr (>= 0.7.8), rlang (>= 0.3.0.1), Matrix (>= 1.2), plotly (>= 4.7.1), mvtnorm (>= 1.0.8), corpcor (>= 1.6.9), ggplot2 (>= 3.1.0), ggpubr (>= 0.2), ggthemes (>= 4.0.1), tidyr (>= 0.8.2), iterators (>= 1.0.10)
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-30 19:07:48 UTC; hudson
Author: Hudson Golino [aut, cre], Alexander Christensen [ctb]
Repository: CRAN
Date/Publication: 2019-05-02 07:00:03 UTC

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Package traitdataform (with last version 0.5.3) was removed from CRAN

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

2019-04-16 0.5.3
2018-12-30 0.5.2

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