Mon, 10 May 2021

Package CPGLIB updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-10

Title: Competing Proximal Gradients Library
Description: Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package gitdown updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-10

Title: Turn Your Git Commit Messages into a HTML Book
Description: Read all commit messages of your local git repository and sort them according to tags or specific text pattern into chapters of a HTML book using 'bookdown'. The git history book presentation helps organisms required to testify for every changes in their source code, in relation to features requests.
Author: Sébastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph], Institut de Recherches Internationales Servier [spn]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>

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Package farff updated to version 1.1.1 with previous version 1.1 dated 2019-05-03

Title: A Faster 'ARFF' File Reader and Writer
Description: Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the 'WEKA' machine learning 'Java' toolbox. See <https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/> for further info on 'ARFF' and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'. 'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and it is at least a faster reader (for bigger files). It uses 'readr' as parser back-end for the data section of the 'ARFF' file. Consistency with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of 'ARFF' files from 'OpenML'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Bossek [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package aghq updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-18

Title: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Description: Adaptive Gauss Hermite Quadrature for Bayesian inference. The AGHQ method for normalizing posterior distributions and making Bayesian inferences based on them. Functions are provided for doing quadrature and marginal Laplace approximations, and summary methods are provided for making inferences based on the results. See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package" <arXiv:2101.04468>.
Author: Alex Stringer
Maintainer: Alex Stringer <alex.stringer@mail.utoronto.ca>

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Package shinyfilter updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-02

Title: Use Interdependent Filters on Table Columns in Shiny Apps
Description: Allows to connect 'selectizeInputs' widgets as filters to a 'reactable' table. As known from spreadsheet applications, column filters are interdependent, so each filter only shows the values that are really available at the moment based on the current selection in other filters. Filter values currently not available (and also those being available) can be shown via popovers or tooltips.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

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Package crandep updated to version 0.2.0 with previous version 0.1.1 dated 2020-09-12

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <arXiv:2008.03073>, of which functions are provided.
Author: Clement Lee [aut, cre] (<https://orcid.org/0000-0003-1785-8671>)
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package mrgsolve updated to version 0.11.1 with previous version 0.11.0 dated 2021-03-28

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] (<https://orcid.org/0000-0001-7252-5656>), Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Dilawar Singh [ctb], Felicien Le Louedec [ctb] (<https://orcid.org/0000-0003-3699-2729>), Timothy Waterhouse [ctb] (<https://orcid.org/0000-0002-0954-9660>), Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package Cubist updated to version 0.2.40 with previous version 0.2.3 dated 2020-01-10

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package codemetar updated to version 0.3.0 with previous version 0.1.9 dated 2020-07-18

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Anna Krystalli [rev, ctb] (<https://orcid.org/0000-0002-2378-4915>), Toph Allen [rev] (<https://orcid.org/0000-0003-4580-091X>), Maëlle Salmon [ctb, aut] (<https://orcid.org/0000-0002-2815-0399>), rOpenSci [fnd] (https://ropensci.org/), Katrin Leinweber [ctb] (<https://orcid.org/0000-0001-5135-5758>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Arfon Smith [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>), Michael Rustler [ctb] (<https://orcid.org/0000-0003-0647-7726>), Hauke Sonnenberg [ctb] (<https://orcid.org/0000-0001-9134-2871>), Sebastian Kreutzer [ctb] (<https://orcid.org/0000-0002-0734-2199>), Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package tesseract updated to version 4.1.1 with previous version 4.1 dated 2019-07-25

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 RSiena updated to version 1.3.0 with previous version 1.2-23 dated 2020-01-12

Title: Siena - Simulation Investigation for Empirical Network Analysis
Description: The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Tom A.B. Snijders (2017), Stochastic Actor-Oriented Models for Network Dynamics, Annual Review of Statistics and Its Application, 4, 343-363 <doi: 10.1146/annurev-statistics-060116-054035>. An extensive manual, scripts, and much further information is at the Siena website <http://www.stats.ox.ac.uk/~snijders/siena/>.
Author: Tom A.B. Snijders [cre, aut] (<https://orcid.org/0000-0003-3157-4157>), Ruth Ripley [aut], Christian Steglich [aut, ctb] (<https://orcid.org/0000-0002-9097-0873>), Johan Koskinen [aut, ctb] (<https://orcid.org/0000-0002-6860-325X>), Nynke Niezink [aut, ctb], Viviana Amati [aut, ctb] (<https://orcid.org/0000-0003-1190-1237>), Christoph Stadtfeld [ctb] (<https://orcid.org/0000-0002-2704-2134>), James Hollway [ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>), Per Block [ctb], Robert Krause [ctb], Charlotte Greenan [ctb], Josh Lospinoso [ctb], Michael Schweinberger [ctb] (<https://orcid.org/0000-0003-3649-5386>), Mark Huisman [ctb], Krists Boitmanis [ctr], Felix Schoenenberger [ctb], Mark Ortmann [ctb], Marion Hoffman [ctb], Robert Hellpap [ctb], Alvaro Uzaheta [ctb]
Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

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Package rNeighborGWAS updated to version 1.2.4 with previous version 1.2.3 dated 2021-04-07

Title: Testing Neighbor Effects in Marker-Based Regressions
Description: To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Eiji Yamamoto [aut], Kentaro K. Shimizu [aut] (<https://orcid.org/0000-0002-6483-1781>), Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

Diff between rNeighborGWAS versions 1.2.3 dated 2021-04-07 and 1.2.4 dated 2021-05-10

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Package rijkspalette updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-07

Title: Create Colour Palettes Based on Famous Artworks from the Rijksmuseum
Description: Create colour palettes based on famous paintings. Using the function rijksPalette(), you can search for any painting in the collection of the Dutch Rijksmuseum and generate a colour palette from it. This package was developed using the fantastic Rijksmuseum API <https://www.rijksmuseum.nl/api>.
Author: Erik-Jan van Kesteren [aut, cre]
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>

Diff between rijkspalette versions 1.0.1 dated 2019-02-07 and 1.0.2 dated 2021-05-10

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Package purgeR updated to version 1.1 with previous version 1.0 dated 2021-04-30

Title: Inbreeding-Purging Estimation in Pedigreed Populations
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
Author: Eugenio López-Cortegano [aut, cre]
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>

Diff between purgeR versions 1.0 dated 2021-04-30 and 1.1 dated 2021-05-10

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Package gluedown updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-06

Title: Wrap Vectors in Markdown Formatting
Description: Ease the transition between R vectors and markdown text. With 'gluedown' and 'rmarkdown', users can create traditional vectors in R, glue those strings together with the markdown syntax, and print those formatted vectors directly to the document. This package primarily uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous CommonMark specification by John MacFarlane (2019) <https://spec.commonmark.org/>.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Package EMSS updated to version 1.1.0 with previous version 1.0.2 dated 2020-08-28

Title: Some EM-Type Estimation Methods for the Heckman Selection Model
Description: Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.
Author: Kexuan Yang <717260446@qq.com>, Sang Kyu Lee <leesa111@msu.edu>, Jun Zhao <zhaojun2021@hotmail.com>, and Hyoung-Moon Kim <hmk966a@gmail.com >
Maintainer: Sang Kyu Lee <leesa111@msu.edu>

Diff between EMSS versions 1.0.2 dated 2020-08-28 and 1.1.0 dated 2021-05-10

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Package dga updated to version 2.0.1 with previous version 2.0.0 dated 2021-05-04

Title: Capture-Recapture Estimation using Bayesian Model Averaging
Description: Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.
Author: James Johndrow [aut], Kristian Lum [aut], Patrick Ball [aut], Olivier Binette [ctb, cre]
Maintainer: Olivier Binette <olivier.binette@gmail.com>

Diff between dga versions 2.0.0 dated 2021-05-04 and 2.0.1 dated 2021-05-10

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Package bibliometrix updated to version 3.1.1 with previous version 3.0.4 dated 2021-01-19

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from 'SCOPUS' (<https://scopus.com>), 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package VancouvR updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-13

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

Diff between VancouvR versions 0.1.2 dated 2021-01-13 and 0.1.3 dated 2021-05-10

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Package openCR updated to version 2.0.1 with previous version 1.5.0 dated 2020-12-13

Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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New package goeveg with initial version 0.5.1
Package: goeveg
Title: Functions for Community Data and Ordinations
Version: 0.5.1
Date: 2021-05-10
Author: Friedemann Goral [aut, cre], Jenny Schellenberg [aut]
Maintainer: Friedemann Goral <fgoral@gwdg.de>
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress plots, species response curves and rank-abundance curves.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Imports: vegan, fields, mgcv, Hmisc
Suggests: vegdata, BiodiversityR, cluster
URL: https://github.com/fgoral/goeveg/
BugReports: https://github.com/fgoral/goeveg/issues
NeedsCompilation: no
Packaged: 2021-05-10 11:11:40 UTC; Friedemann Goral
Repository: CRAN
Date/Publication: 2021-05-10 14:50:02 UTC

More information about goeveg at CRAN
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Package exactextractr updated to version 0.6.1 with previous version 0.6.0 dated 2021-04-17

Title: Fast Extraction from Raster Datasets using Polygons
Description: Provides a replacement for the 'extract' function from the 'raster' package that is suitable for extracting raster values using 'sf' polygons.
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

Diff between exactextractr versions 0.6.0 dated 2021-04-17 and 0.6.1 dated 2021-05-10

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Package datasets.load updated to version 1.6.0 with previous version 1.4.0 dated 2020-04-27

Title: Interfaces for Loading Datasets
Description: Visual interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.
Author: Bastiaan quast [aut, cre]
Maintainer: Bastiaan quast <bquast@gmail.com>

Diff between datasets.load versions 1.4.0 dated 2020-04-27 and 1.6.0 dated 2021-05-10

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Package codename updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-14

Title: Generation of Code Names for Organizations, People, Projects, and Whatever Else
Description: This creates code names that a user can consider for their organizations, their projects, themselves, people in their organizations or projects, or whatever else. The user can also supply a numeric seed (and even a character seed) for maximum reproducibility. Use is simple and the code names produced come in various types too, contingent on what the user may be desiring as a code name or nickname.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package bfast updated to version 1.6.1 with previous version 1.6.0 dated 2021-05-03

Title: Breaks for Additive Season and Trend
Description: Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different models can now be used to fit the time series data and detect structural changes (breaks).
Author: Jan Verbesselt [aut], Dainius Masiliunas [aut, cre] (<https://orcid.org/0000-0001-5654-1277>), Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mirt [ctb] (<https://orcid.org/0000-0003-3654-2090>), Paulo Negri Bernardino [ctb], Dongdong Kong [ctb] (<https://orcid.org/0000-0003-1836-8172>)
Maintainer: Dainius Masiliunas <pastas4@gmail.com>

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Package arrow updated to version 4.0.0.1 with previous version 4.0.0 dated 2021-04-27

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Jonathan Keane [aut], Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>

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Package RavenR updated to version 2.0.9 with previous version 2.0.1 dated 2020-11-19

Title: Raven Hydrological Modelling Framework R Support and Analysis
Description: Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into xts format, and support for writing Raven input files (rvt, rvh, rvc, etc.).
Author: Robert Chlumsky [cre, aut], James Craig [ctb], Genevieve Brown [ctb], Leland Scantlebury [ctb], Sarah Grass [ctb], Simon Lin [ctb]
Maintainer: Robert Chlumsky <rchlumsk@uwaterloo.ca>

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Package protti updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-23

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre], Dina Schuster [aut], ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package narray updated to version 0.4.1.1 with previous version 0.4.1 dated 2018-08-18

Title: Subset- And Name-Aware Array Utility Functions
Description: Stacking arrays according to dimension names, subset-aware splitting and mapping of functions, intersecting along arbitrary dimensions, converting to and from data.frames, and many other helper functions.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package miscFuncs updated to version 1.5-1 with previous version 1.5 dated 2021-05-06

Title: Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering and Development Tools
Description: Implementing various things including functions for LaTeX tables, the Kalman filter, web scraping, development tools, relative risk and odds ratio.
Author: Benjamin M. Taylor
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

Diff between miscFuncs versions 1.5 dated 2021-05-06 and 1.5-1 dated 2021-05-10

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Package good updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-06

Title: Good Regression
Description: Fit Good regression models to count data (Tur et al., 2021) <arXiv:2105.01557>. The package provides functions for model estimation and model prediction. Density, distribution function, quantile function and random generation for the Good distribution are also provided.
Author: Jordi Tur [aut, cre], David Moriña [ctb], Pere Puig [ctb], Argimiro Arratia [ctb], Alejandra Cabaña [ctb], Amanda Fernández-Fontelo [aut]
Maintainer: Jordi Tur <jjtur@crm.cat>

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Package evclust updated to version 2.0.1 with previous version 2.0.0 dated 2021-03-05

Title: Evidential Clustering
Description: Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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Package drimmR updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-22

Title: Estimation, Simulation and Reliability of Drifting Markov Models
Description: Performs the drifting Markov models (DMM) which are non-homogeneous Markov models designed for modeling the heterogeneities of sequences in a more flexible way than homogeneous Markov chains or even hidden Markov models. In this context, we developed an R package dedicated to the estimation, simulation and the exact computation of associated reliability of drifting Markov models. The implemented methods are described in Vergne, N. (2008), <doi:10.2202/1544-6115.1326> and Barbu, V.S., Vergne, N. (2019) <doi:10.1007/s11009-018-9682-8> .
Author: Vlad Stefan Barbu [aut], Geoffray Brelurut [ctb], Annthomy Gilles [ctb], Arnaud Lefebvre [ctb], Corentin Lothode [aut], Victor Mataigne [ctb], Alexandre Seiller [aut], Nicolas Vergne [aut, cre]
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

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Package cansim updated to version 0.3.7 with previous version 0.3.6 dated 2021-05-08

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package BFS updated to version 0.3.1 with previous version 0.3.0 dated 2021-03-23

Title: Search and Download Data from the Swiss Federal Statistical Office (BFS)
Description: Search and download data from the Swiss Federal Statistical Office <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package windsoraiR updated to version 0.1.2 with previous version 0.1.1 dated 2021-04-28

Title: Access the 'Windsor.ai' API
Description: Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
Author: Novica Nakov [aut, cre], Windsor.ai [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

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Package statmod updated to version 1.4.36 with previous version 1.4.35 dated 2020-10-19

Title: Statistical Modeling
Description: A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families and a secure convergence algorithm.
Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth@wehi.edu.au>

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New package exoplanets with initial version 0.2.0
Package: exoplanets
Title: Access NASA's Exoplanet Archive Data
Version: 0.2.0
Authors@R: c( person("Tyler", "Littlefield", email = "tylerlittlefield@hey.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6020-1125")), person("Maëlle", "Salmon", role = c("ctb", "rev")))
Description: The goal of exoplanets is to provide access to NASA's Exoplanet Archive TAP Service. For more information regarding the API please read the documentation <https://exoplanetarchive.ipac.caltech.edu/index.html>.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/exoplanets/ (website) https://github.com/ropensci/exoplanets
BugReports: https://github.com/ropensci/exoplanets/issues
Depends: R (>= 2.10)
Imports: cli, httr, memoise, readr, tibble
Suggests: covr, dplyr, ggplot2, httptest, knitr, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-07 23:32:02 UTC; tlittlef
Author: Tyler Littlefield [aut, cre] (<https://orcid.org/0000-0002-6020-1125>), Maëlle Salmon [ctb, rev]
Maintainer: Tyler Littlefield <tylerlittlefield@hey.com>
Repository: CRAN
Date/Publication: 2021-05-10 10:30:02 UTC

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Package CohortPlat updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-25

Title: Simulation of Cohort Platform Trials for Combination Treatments
Description: A collection of functions dedicated to simulating staggered entry platform trials whereby the treatment under investigation is a combination of two active compounds. In order to obtain approval for this combination therapy, superiority of the combination over the two active compounds and superiority of the two active compounds over placebo need to be demonstrated. A more detailed description of the design can be found in Meyer et al. <arXiv:2103.09547>.
Author: Elias Laurin Meyer [aut, cre]
Maintainer: Elias Laurin Meyer <elias.meyer@meduniwien.ac.at>

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 CohortPlat-1.0.1/CohortPlat/MD5                                                                                      |  136 
 CohortPlat-1.0.1/CohortPlat/R/simulate_trial.R                                                                       |    4 
 CohortPlat-1.0.1/CohortPlat/build/vignette.rds                                                                       |binary
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Package KFAS updated to version 1.4.5 with previous version 1.4.4 dated 2021-01-21

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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New package TraceAssist with initial version 0.1.0
Package: TraceAssist
Title: Nonparametric Trace Regression via Sign Series Representation
Version: 0.1.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Lexin Li <lexinli@berkeley.edu>, Hao Helen Zhang <hzhang@math.arizona.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Description: Efficient method for fitting nonparametric matrix trace regression model. The detailed description can be found in C. Lee, L. Li, H. Zhang, and M. Wang (2021). Nonparametric Trace Regression via Sign Series Representation. <arXiv:2105.01783>. The method employs the aggregation of structured sign series for trace regression (ASSIST) algorithm.
URL: https://arxiv.org/abs/2105.01783
Imports: quadprog, Matrix, glmnet, keras
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 22:10:47 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2021-05-10 08:42:14 UTC

More information about TraceAssist at CRAN
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Package Taxonstand updated to version 2.4 with previous version 2.3 dated 2021-03-22

Title: Taxonomic Standardization of Plant Species Names
Description: Automated standardization of taxonomic names and removal of orthographic errors in plant species names using 'The Plant List' website (www.theplantlist.org).
Author: Luis Cayuela, Ildefonso Macarro, Anke Stein, Jari Oksanen
Maintainer: Luis Cayuela <luis.cayuela@urjc.es>

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Package stringi updated to version 1.6.1 with previous version 1.5.3 dated 2020-09-09

Title: Character String Processing Facilities
Description: A multitude of character string/text/natural language processing tools: pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Bartek Tartanus [ctb], and others (stringi source code); IBM, Unicode, Inc. and others (ICU4C source code, Unicode Character Database)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.5.3 dated 2020-09-09 and 1.6.1 dated 2021-05-10

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 stringi-1.6.1/stringi/R/ICU_settings.R                         |    2 
 stringi-1.6.1/stringi/R/compare.R                              |    8 
 stringi-1.6.1/stringi/R/encoding.R                             |    4 
 stringi-1.6.1/stringi/R/encoding_conversion.R                  |    2 
 stringi-1.6.1/stringi/R/encoding_detection.R                   |    2 
 stringi-1.6.1/stringi/R/encoding_management.R                  |    2 
 stringi-1.6.1/stringi/R/escape.R                               |    5 
 stringi-1.6.1/stringi/R/files.R                                |    2 
 stringi-1.6.1/stringi/R/install.R                              |  126 
 stringi-1.6.1/stringi/R/internal_prepare_arg.R                 |    2 
 stringi-1.6.1/stringi/R/internal_test.R                        |    2 
 stringi-1.6.1/stringi/R/join.R                                 |    2 
 stringi-1.6.1/stringi/R/length.R                               |   13 
 stringi-1.6.1/stringi/R/locale.R                               |    2 
 stringi-1.6.1/stringi/R/locale_management.R                    |    2 
 stringi-1.6.1/stringi/R/opts.R                                 |    6 
 stringi-1.6.1/stringi/R/pad.R                                  |    2 
 stringi-1.6.1/stringi/R/random.R                               |    2 
 stringi-1.6.1/stringi/R/reverse.R                              |    2 
 stringi-1.6.1/stringi/R/search.R                               |    2 
 stringi-1.6.1/stringi/R/search_count_4.R                       |    2 
 stringi-1.6.1/stringi/R/search_count_bound.R                   |    2 
 stringi-1.6.1/stringi/R/search_detect_4.R                      |    2 
 stringi-1.6.1/stringi/R/search_extract_4.R                     |   12 
 stringi-1.6.1/stringi/R/search_extract_bound.R                 |    2 
 stringi-1.6.1/stringi/R/search_locate_4.R                      |    9 
 stringi-1.6.1/stringi/R/search_locate_bound.R                  |    2 
 stringi-1.6.1/stringi/R/search_match_4.R                       |    2 
 stringi-1.6.1/stringi/R/search_replace_4.R                     |   10 
 stringi-1.6.1/stringi/R/search_split_4.R                       |    7 
 stringi-1.6.1/stringi/R/search_split_bound.R                   |    7 
 stringi-1.6.1/stringi/R/search_startsendswith_4.R              |    2 
 stringi-1.6.1/stringi/R/search_subset_4.R                      |    2 
 stringi-1.6.1/stringi/R/sort.R                                 |   89 
 stringi-1.6.1/stringi/R/stats.R                                |    2 
 stringi-1.6.1/stringi/R/stringi-package.R                      |   15 
 stringi-1.6.1/stringi/R/sub.R                                  |    2 
 stringi-1.6.1/stringi/R/time_calendar.R                        |    2 
 stringi-1.6.1/stringi/R/time_format.R                          |    2 
 stringi-1.6.1/stringi/R/time_symbols.R                         |    2 
 stringi-1.6.1/stringi/R/time_zone.R                            |    2 
 stringi-1.6.1/stringi/R/todo_charclass.R                       |    2 
 stringi-1.6.1/stringi/R/todo_justify.R                         |    2 
 stringi-1.6.1/stringi/R/todo_rbnf.R                            |    2 
 stringi-1.6.1/stringi/R/todo_search_in.R                       |    2 
 stringi-1.6.1/stringi/R/todo_split.R                           |    2 
 stringi-1.6.1/stringi/R/trans_casemap.R                        |   20 
 stringi-1.6.1/stringi/R/trans_normalization.R                  |    2 
 stringi-1.6.1/stringi/R/trans_other.R                          |    2 
 stringi-1.6.1/stringi/R/trans_transliterate.R                  |    2 
 stringi-1.6.1/stringi/R/trim.R                                 |    2 
 stringi-1.6.1/stringi/R/utils.R                                |   33 
 stringi-1.6.1/stringi/R/wrap.R                                 |    3 
 stringi-1.6.1/stringi/cleanup                                  |    2 
 stringi-1.6.1/stringi/configure                                | 1255 ++---
 stringi-1.6.1/stringi/configure.ac                             | 1419 +++---
 stringi-1.6.1/stringi/configure.win                            |   18 
 stringi-1.6.1/stringi/inst/AUTHORS                             |   85 
 stringi-1.6.1/stringi/inst/CITATION                            |   18 
 stringi-1.6.1/stringi/man/about_encoding.Rd                    |    2 
 stringi-1.6.1/stringi/man/about_locale.Rd                      |    1 
 stringi-1.6.1/stringi/man/about_search_boundaries.Rd           |    1 
 stringi-1.6.1/stringi/man/about_search_coll.Rd                 |    1 
 stringi-1.6.1/stringi/man/about_stringi.Rd                     |   12 
 stringi-1.6.1/stringi/man/operator_compare.Rd                  |    1 
 stringi-1.6.1/stringi/man/operator_dollar.Rd                   |   13 
 stringi-1.6.1/stringi/man/stri_compare.Rd                      |    7 
 stringi-1.6.1/stringi/man/stri_count_boundaries.Rd             |    1 
 stringi-1.6.1/stringi/man/stri_duplicated.Rd                   |    1 
 stringi-1.6.1/stringi/man/stri_enc_detect2.Rd                  |    1 
 stringi-1.6.1/stringi/man/stri_extract.Rd                      |   10 
 stringi-1.6.1/stringi/man/stri_extract_boundaries.Rd           |    1 
 stringi-1.6.1/stringi/man/stri_locate.Rd                       |    7 
 stringi-1.6.1/stringi/man/stri_locate_boundaries.Rd            |    1 
 stringi-1.6.1/stringi/man/stri_opts_brkiter.Rd                 |    4 
 stringi-1.6.1/stringi/man/stri_opts_collator.Rd                |    1 
 stringi-1.6.1/stringi/man/stri_order.Rd                        |    9 
 stringi-1.6.1/stringi/man/stri_rank.Rd                         |only
 stringi-1.6.1/stringi/man/stri_replace.Rd                      |    8 
 stringi-1.6.1/stringi/man/stri_sort.Rd                         |    5 
 stringi-1.6.1/stringi/man/stri_sort_key.Rd                     |   16 
 stringi-1.6.1/stringi/man/stri_split.Rd                        |    5 
 stringi-1.6.1/stringi/man/stri_split_boundaries.Rd             |    6 
 stringi-1.6.1/stringi/man/stri_trans_casemap.Rd                |   13 
 stringi-1.6.1/stringi/man/stri_unescape_unicode.Rd             |    3 
 stringi-1.6.1/stringi/man/stri_unique.Rd                       |    1 
 stringi-1.6.1/stringi/man/stri_width.Rd                        |   11 
 stringi-1.6.1/stringi/man/stri_wrap.Rd                         |    1 
 stringi-1.6.1/stringi/src/Makevars.in                          |    4 
 stringi-1.6.1/stringi/src/Makevars.win                         |   34 
 stringi-1.6.1/stringi/src/icu69                                |only
 stringi-1.6.1/stringi/src/icu69_common_c.txt                   |only
 stringi-1.6.1/stringi/src/icu69_common_cpp.txt                 |only
 stringi-1.6.1/stringi/src/icu69_i18n_c.txt                     |only
 stringi-1.6.1/stringi/src/icu69_i18n_cpp.txt                   |only
 stringi-1.6.1/stringi/src/icu69_stubdata_c.txt                 |only
 stringi-1.6.1/stringi/src/icu69_stubdata_cpp.txt               |only
 stringi-1.6.1/stringi/src/install.libs.R.in                    |    4 
 stringi-1.6.1/stringi/src/stri_ICU_settings.cpp                |    2 
 stringi-1.6.1/stringi/src/stri_TODO_justify.cpp                |    2 
 stringi-1.6.1/stringi/src/stri_TODO_splitpos.cpp               |    2 
 stringi-1.6.1/stringi/src/stri_TODO_uchar.cpp                  |    2 
 stringi-1.6.1/stringi/src/stri_brkiter.cpp                     |    2 
 stringi-1.6.1/stringi/src/stri_brkiter.h                       |    2 
 stringi-1.6.1/stringi/src/stri_bytesearch_matcher.h            |    2 
 stringi-1.6.1/stringi/src/stri_collator.cpp                    |    9 
 stringi-1.6.1/stringi/src/stri_common.cpp                      |    2 
 stringi-1.6.1/stringi/src/stri_compare.cpp                     |    2 
 stringi-1.6.1/stringi/src/stri_container_base.cpp              |    2 
 stringi-1.6.1/stringi/src/stri_container_base.h                |    2 
 stringi-1.6.1/stringi/src/stri_container_bytesearch.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_container_bytesearch.h          |    2 
 stringi-1.6.1/stringi/src/stri_container_charclass.h           |    2 
 stringi-1.6.1/stringi/src/stri_container_double.h              |    2 
 stringi-1.6.1/stringi/src/stri_container_integer.h             |    2 
 stringi-1.6.1/stringi/src/stri_container_listint.cpp           |    2 
 stringi-1.6.1/stringi/src/stri_container_listint.h             |    2 
 stringi-1.6.1/stringi/src/stri_container_listraw.cpp           |    2 
 stringi-1.6.1/stringi/src/stri_container_listraw.h             |    2 
 stringi-1.6.1/stringi/src/stri_container_listutf8.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_container_listutf8.h            |    2 
 stringi-1.6.1/stringi/src/stri_container_logical.h             |    2 
 stringi-1.6.1/stringi/src/stri_container_regex.cpp             |    2 
 stringi-1.6.1/stringi/src/stri_container_regex.h               |    2 
 stringi-1.6.1/stringi/src/stri_container_usearch.cpp           |    8 
 stringi-1.6.1/stringi/src/stri_container_usearch.h             |    2 
 stringi-1.6.1/stringi/src/stri_container_utf16.cpp             |    2 
 stringi-1.6.1/stringi/src/stri_container_utf16.h               |    2 
 stringi-1.6.1/stringi/src/stri_container_utf8.cpp              |    2 
 stringi-1.6.1/stringi/src/stri_container_utf8.h                |    2 
 stringi-1.6.1/stringi/src/stri_container_utf8_indexable.cpp    |    2 
 stringi-1.6.1/stringi/src/stri_container_utf8_indexable.h      |    2 
 stringi-1.6.1/stringi/src/stri_encoding_conversion.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_encoding_detection.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_encoding_management.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_escape.cpp                      |    2 
 stringi-1.6.1/stringi/src/stri_exception.cpp                   |    2 
 stringi-1.6.1/stringi/src/stri_exception.h                     |    2 
 stringi-1.6.1/stringi/src/stri_exports.h                       |    4 
 stringi-1.6.1/stringi/src/stri_external.h                      |    2 
 stringi-1.6.1/stringi/src/stri_interval.h                      |    2 
 stringi-1.6.1/stringi/src/stri_intvec.h                        |    2 
 stringi-1.6.1/stringi/src/stri_join.cpp                        |    2 
 stringi-1.6.1/stringi/src/stri_length.cpp                      |   87 
 stringi-1.6.1/stringi/src/stri_macros.h                        |   12 
 stringi-1.6.1/stringi/src/stri_messages.h                      |    2 
 stringi-1.6.1/stringi/src/stri_pad.cpp                         |    2 
 stringi-1.6.1/stringi/src/stri_prepare_arg.cpp                 |   10 
 stringi-1.6.1/stringi/src/stri_random.cpp                      |    2 
 stringi-1.6.1/stringi/src/stri_reverse.cpp                     |    2 
 stringi-1.6.1/stringi/src/stri_search_boundaries_count.cpp     |    2 
 stringi-1.6.1/stringi/src/stri_search_boundaries_extract.cpp   |    2 
 stringi-1.6.1/stringi/src/stri_search_boundaries_locate.cpp    |    2 
 stringi-1.6.1/stringi/src/stri_search_boundaries_split.cpp     |    2 
 stringi-1.6.1/stringi/src/stri_search_class_count.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_class_detect.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_class_extract.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_class_locate.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_class_replace.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_class_split.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_class_startsendswith.cpp |    2 
 stringi-1.6.1/stringi/src/stri_search_class_subset.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_class_trim.cpp           |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_count.cpp           |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_detect.cpp          |   11 
 stringi-1.6.1/stringi/src/stri_search_coll_extract.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_locate.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_replace.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_split.cpp           |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_startsendswith.cpp  |    2 
 stringi-1.6.1/stringi/src/stri_search_coll_subset.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_common.cpp               |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_count.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_detect.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_extract.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_locate.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_replace.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_split.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_startsendswith.cpp |    2 
 stringi-1.6.1/stringi/src/stri_search_fixed_subset.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_in.cpp                   |    2 
 stringi-1.6.1/stringi/src/stri_search_other_split.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_count.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_detect.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_extract.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_locate.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_match.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_replace.cpp        |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_split.cpp          |    2 
 stringi-1.6.1/stringi/src/stri_search_regex_subset.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_sort.cpp                        |  142 
 stringi-1.6.1/stringi/src/stri_stats.cpp                       |    2 
 stringi-1.6.1/stringi/src/stri_string8.h                       |    2 
 stringi-1.6.1/stringi/src/stri_string8buf.h                    |    2 
 stringi-1.6.1/stringi/src/stri_stringi.cpp                     |    4 
 stringi-1.6.1/stringi/src/stri_stringi.h                       |    2 
 stringi-1.6.1/stringi/src/stri_sub.cpp                         |    2 
 stringi-1.6.1/stringi/src/stri_test.cpp                        |    2 
 stringi-1.6.1/stringi/src/stri_time_calendar.cpp               |    2 
 stringi-1.6.1/stringi/src/stri_time_format.cpp                 |    2 
 stringi-1.6.1/stringi/src/stri_time_symbols.cpp                |    2 
 stringi-1.6.1/stringi/src/stri_time_zone.cpp                   |    2 
 stringi-1.6.1/stringi/src/stri_trans_casemap.cpp               |   84 
 stringi-1.6.1/stringi/src/stri_trans_normalization.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_trans_other.cpp                 |    2 
 stringi-1.6.1/stringi/src/stri_trans_transliterate.cpp         |    2 
 stringi-1.6.1/stringi/src/stri_ucnv.cpp                        |    2 
 stringi-1.6.1/stringi/src/stri_ucnv.h                          |    2 
 stringi-1.6.1/stringi/src/stri_uloc.cpp                        |    2 
 stringi-1.6.1/stringi/src/stri_utils.cpp                       |    2 
 stringi-1.6.1/stringi/src/stri_wrap.cpp                        |    2 
 stringi-1.6.1/stringi/src/uconfig_local.h.in                   |    4 
 225 files changed, 3598 insertions(+), 3006 deletions(-)

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Package sen2r updated to version 1.4.4 with previous version 1.4.3 dated 2021-05-04

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

Diff between sen2r versions 1.4.3 dated 2021-05-04 and 1.4.4 dated 2021-05-10

 DESCRIPTION                               |    6 +-
 MD5                                       |   74 ++++++++++++++--------------
 NAMESPACE                                 |    1 
 NEWS.md                                   |   17 ++++++
 R/s2_download.R                           |   32 +++++++++---
 R/s2_list.R                               |   34 ++++++++-----
 R/s2_order.R                              |   16 ++++--
 R/s2_tiles.R                              |    2 
 R/safe_is_online.R                        |    4 +
 R/safelist-class.R                        |   11 +++-
 R/scihub_login.R                          |   17 +++++-
 R/sen2r.R                                 |   78 +++++++++++++++---------------
 R/tiles_intersects.R                      |    2 
 build/partial.rdb                         |binary
 inst/WORDLIST                             |    1 
 man/s2_download.Rd                        |    5 +
 man/s2_list.Rd                            |   34 ++++++++-----
 man/s2_order.Rd                           |    4 +
 man/s2_tiles.Rd                           |    2 
 man/safe_is_online.Rd                     |    4 +
 man/safelist-class.Rd                     |   11 +++-
 man/scihub_login.Rd                       |   12 +++-
 man/sen2r.Rd                              |   78 +++++++++++++++---------------
 man/tiles_intersects.Rd                   |    2 
 tests/testthat/setup-dependencies.R       |   15 +++--
 tests/testthat/test-s2_download.R         |    1 
 tests/testthat/test-s2_list.R             |    2 
 tests/testthat/test-s2_order.R            |    1 
 tests/testthat/test-safelist-class.R      |    1 
 tests/testthat/test-scihub_login.R        |    1 
 tests/testthat/test-sen2cor.R             |    4 -
 tests/testthat/test-sen2r-00_connection.R |    1 
 tests/testthat/test-sen2r-01_merge.R      |    1 
 tests/testthat/test-sen2r-02_warp.R       |    1 
 tests/testthat/test-sen2r-03_mask.R       |    1 
 tests/testthat/test-sen2r-04_indices.R    |    1 
 tests/testthat/test-sen2r-05_rgb.R        |    1 
 tests/testthat/test-sen2r-06_ignorelist.R |    1 
 38 files changed, 305 insertions(+), 174 deletions(-)

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New package Rsfar with initial version 0.0.1
Package: Rsfar
Title: Seasonal Functional Autoregressive Models
Version: 0.0.1
Authors@R: c( person("Hossein", "Haghbin", email = "haghbinh@gmail.com", role = c("aut", "cre"),comment = c(ORCID = "0000-0001-8416-2354")), person("Rob", "Hyndman", email = "Rob.Hyndman@monash.edu", role = "aut") )
Description: This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.
License: GPL (>= 2)
URL: https://github.com/haghbinh/Rsfar
Encoding: UTF-8
LazyData: false
Depends: fda
NeedsCompilation: no
Packaged: 2021-05-07 20:27:35 UTC; Haghbin
Author: Hossein Haghbin [aut, cre] (<https://orcid.org/0000-0001-8416-2354>), Rob Hyndman [aut]
Maintainer: Hossein Haghbin <haghbinh@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:02:27 UTC

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New package qqboxplot with initial version 0.1.0
Package: qqboxplot
Title: Implementation of the Q-Q Boxplot
Version: 0.1.0
Authors@R: person(given = "Jordan", family = "Rodu", role = c("aut", "cre"), email = "jordan.rodu@gmail.com")
Description: A system to implement the Q-Q boxplot. It is implemented as an extension to 'ggplot2'. The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot and allows the user to rapidly examine summary statistics and tail behavior for multiple distributions in the same pane. As an extension of the 'ggplot2' implementation of the boxplot, possible modifications to the boxplot extend to the Q-Q boxplot.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid
Depends: R (>= 3.3)
Suggests: knitr, rmarkdown, dplyr, gridExtra, testthat (>= 3.0.0), vdiffr (>= 0.3.3), scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 19:07:30 UTC; jorda
Author: Jordan Rodu [aut, cre]
Maintainer: Jordan Rodu <jordan.rodu@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:02 UTC

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New package MAGEE with initial version 1.0.0
Package: MAGEE
Version: 1.0.0
Date: 2021-05-01
Title: Mixed Model Association Test for GEne-Environment Interaction
Authors@R: c(person("Xinyu", "Wang", role = c("aut", "cre"), email = "xinyu.wang@uth.tmc.edu"), person("Han", "Chen", role = "aut", email = "han.chen.2@uth.tmc.edu"), person("Duy", "Pham", role = "aut", email = "duy.t.pham@uth.tmc.edu"))
Description: Use a 'glmmkin' class object from the null generalized linear mixed-effect model (GLMM) to perform variant set-based main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
License: GPL-3
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, Matrix, parallel, MASS, SeqArray, SeqVarTools, foreach, GMMAT, CompQuadForm
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2021-05-08 17:14:01 UTC; xwang
Author: Xinyu Wang [aut, cre], Han Chen [aut], Duy Pham [aut]
Maintainer: Xinyu Wang <xinyu.wang@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 08:32:20 UTC

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New package loon.tourr with initial version 0.1.0
Package: loon.tourr
Title: Tour in 'Loon'
Version: 0.1.0
Date: 2021-05-06
Authors@R: c(person(given = "Zehao", family = "Xu", email = "z267xu@uwaterloo.ca", role = c("aut", "cre")), person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = "aut") )
Description: Implement tour algorithms in interactive graphical system 'loon'.
License: GPL-2
Depends: R (>= 3.4.0), tcltk, loon (> 1.3.1), tourr, methods,
Imports: stats, utils, grDevices, MASS, loon.ggplot
Suggests: class, RDRToolbox, magrittr, tidyverse, testthat, knitr, rmarkdown, markdown, covr
BugReports: https://github.com/z267xu/loon.tourr/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:51:05 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:06 UTC

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New package loon.shiny with initial version 0.1.0
Package: loon.shiny
Title: Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets
Version: 0.1.0
Authors@R: c( person('Zehao', 'Xu', email = 'z267xu@uwaterloo.ca', role = c('aut', 'cre')), person('R. Wayne', 'Oldford', email = 'rwoldford@uwaterloo.ca', role = c('aut')) )
Description: Package 'shiny' provides interactive web applications in R. Package 'loon' is an interactive toolkit engaged in open-ended, creative and unscripted data exploration. The 'loon.shiny' package can take 'loon' widgets and display a selfsame 'shiny' app.
License: GPL-2
Depends: R (>= 3.4.0), loon (>= 1.3.0), tcltk, methods, shiny
Imports: stats, grDevices, magrittr, grid, gridExtra, stringr, loon.ggplot (>= 1.1.0), colourpicker, base64enc
Suggests: dplyr, ggmulti, tools, testthat, knitr, rmarkdown, tidyverse, covr, png
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:18:53 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:09 UTC

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New package HSEtest with initial version 0.1.0
Package: HSEtest
Title: Homogeneity of Stratum Effects Test
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: To test the homogeneity of stratum effects in stratified paired binary data.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 07:38:18 UTC; dgdzc
Repository: CRAN
Date/Publication: 2021-05-10 08:12:12 UTC

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New package goldilocks with initial version 0.3.0
Package: goldilocks
Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Version: 0.3.0
Authors@R: c( person(given = "Graeme L.", family = "Hickey", role = c("aut", "cre"), email = "graemeleehickey@gmail.com", comment = c(ORCID = "0000-0002-4989-0054")), person(given = "Ying", family = "Wan", role = "aut", email = "ying.wan@bd.com"), person(given = "Thevaa", family = "Chandereng", role = "aut", email = "tc3123@cumc.columbia.edu", comment = c(ORCID = "0000-0003-4078-9176", "bayesDP code as a template")), person(given = "Becton, Dickinson and Company", role = "cph"))
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0), survival
Imports: dplyr, fastlogranktest, parallel, pbmcapply, PWEALL, rlang, stats
Suggests: covr, testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 16:09:00 UTC; 10318048
Author: Graeme L. Hickey [aut, cre] (<https://orcid.org/0000-0002-4989-0054>), Ying Wan [aut], Thevaa Chandereng [aut] (<https://orcid.org/0000-0003-4078-9176>, bayesDP code as a template), Becton, Dickinson and Company [cph]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:20:11 UTC

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New package gitdown with initial version 0.1.1
Package: gitdown
Title: Turn Your Git Commit Messages into a HTML Book
Version: 0.1.1
Authors@R: c(person(given = "Sébastien", family = "Rochette", role = c("aut", "cre"), email = "sebastien@thinkr.fr", comment = c(ORCID = "0000-0002-1565-9313")), person(given = "Cervan", family = "Girard", role = "aut", email = "cervan@thinkr.fr", comment = c(ORCID = "0000-0002-4816-4624")), person(given = "ThinkR", role = "cph"), person(given = "Institut de Recherches Internationales Servier", role = "spn"))
Description: Read all commit messages of your local git repository and sort them according to tags or specific text pattern into chapters of a HTML book using 'bookdown'. The git history book presentation helps organisms required to testify for every changes in their source code, in relation to features requests.
License: MIT + file LICENSE
URL: https://thinkr-open.github.io/gitdown/, https://github.com/Thinkr-open/gitdown
BugReports: https://github.com/Thinkr-open/gitdown/issues
Depends: R (>= 3.4)
Imports: attempt, bookdown, dplyr, git2r (>= 0.26.0), knitr, magrittr, purrr, rmarkdown, stats, stringi, tidyr, utils
Suggests: testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 18:02:43 UTC; srochett
Author: Sébastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph], Institut de Recherches Internationales Servier [spn]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>
Repository: CRAN
Date/Publication: 2021-05-10 08:30:08 UTC

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Package geouy updated to version 0.2.4 with previous version 0.2.3 dated 2020-09-17

Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay. And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/servicio-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>), Ministerio de Desarrollo Social, Uruguay (MIDES) [dtc], Infraestrutura de Datos Espaciales, Uruguay (IDE) [dtc], Servicio Geográfico Militar, Uruguay (SGM) [dtc], Ministerio de Transporte y Obras Públicas, Uruguay (MTOP) [dtc], Instituto Nacional de Estadística, Uruguay (INE) [dtc], Instituto Geográfico Militar, Uruguay (IGM) [dtc], Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente, Uruguay (MVOTMA) [dtc]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>

Diff between geouy versions 0.2.3 dated 2020-09-17 and 0.2.4 dated 2021-05-10

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New package eventTrack with initial version 1.0.0
Package: eventTrack
Title: Event Prediction for Time-to-Event Endpoints
Version: 1.0.0
Date: 2021-05-07
Author: Kaspar Rufibach
Maintainer: Kaspar Rufibach <kaspar.rufibach@roche.com>
Depends: survival, muhaz, R (>= 3.5.0)
Suggests: knitr, rmarkdown, rpact, fitdistrplus, gestate
VignetteBuilder: knitr
Description: Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2021-05-07 18:51:33 UTC; rufiback
Repository: CRAN
Date/Publication: 2021-05-10 08:00:12 UTC

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New package diveR with initial version 0.1.1
Package: diveR
Title: Easily Install and Load Interactive Data Visualization Tools
Version: 0.1.1
Authors@R: c(person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = c("aut", "cre")) )
Description: A suite of 'loon' related packages providing data analytic tools for Direct Interactive Visual Exploration in R ('diveR'). These tools work with and complement those of the 'tidyverse' suite, extending the grammar of 'ggplot2' to become a grammar of interactive graphics. The suite provides many visual tools designed for moderately (100s of variables) high dimensional data analysis, through 'zenplots' and novel tools in 'loon', and extends the 'ggplot2' grammar to provide parallel coordinates, Andrews plots, and arbitrary glyphs through 'ggmulti'. The 'diveR' package gathers together and installs all these related packages in a single step.
License: GPL-2
URL: https://github.com/great-northern-diver/diver/
BugReports: https://github.com/great-northern-diver/diver/issues
Depends: R (>= 3.4)
Imports: cli (>= 1.1.0), crayon (>= 1.3.4), rstudioapi (>= 0.10), loon (>= 1.2.2), loon.data, ggmulti, loon.ggplot (>= 1.1.0), zenplots
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-09 05:01:12 UTC; rwoldford
Author: R. Wayne Oldford [aut, cre]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:52:11 UTC

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New package autohd with initial version 0.1.0
Title: High Dimensional Bayesian Survival Mediation Analysis
Package: autohd
Version: 0.1.0
Date: 2021-04-30
Depends: R (>= 2.10)
Imports: broom,hdbm,Hmisc,ICBayes,icenReg,missForest,SurvRegCensCov,survival,schoolmath, tibble,Rdpack,rjags,usethis,coxme,mlr3
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Akash"), "Pawar", role=c("aut","ctb")))
Description: Perform mediation analysis for time to event high-dimensional data. Mediation Analysis proposed by Miocevic et al.(2017) <doi:10.1080/10705511.2017.1342541> as a statistical tool in the Bayesian framework. Time to event data analysis methods like Cox proportional hazard model, accelerated failure time model to work with high dimensional data with Bayesian approaches are provided. Missing data imputation techniques tool to work with high dimensional data coupled for mediation analysis by presented by the active mediator variables.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-05-08 07:27:30 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-10 08:02:24 UTC

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Package CEC (with last version 0.10.2) was removed from CRAN

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

2018-07-26 0.10.2

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Package visvow updated to version 1.3.1 with previous version 1.3.0 dated 2021-05-06

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 1.3.0 dated 2021-05-06 and 1.3.1 dated 2021-05-10

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Package SuperLearner updated to version 2.0-28 with previous version 2.0-26 dated 2019-12-10

Title: Super Learner Prediction
Description: Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
Author: Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Maintainer: Eric Polley <epolley@uchicago.edu>

Diff between SuperLearner versions 2.0-26 dated 2019-12-10 and 2.0-28 dated 2021-05-10

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 53 files changed, 799 insertions(+), 762 deletions(-)

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Package stokes updated to version 1.0-8 with previous version 1.0-7 dated 2021-04-27

Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating tensors, wedge products, Stokes's theorem, and related concepts from the exterior calculus. Functionality for Grassman algebra is provided. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds".
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between stokes versions 1.0-7 dated 2021-04-27 and 1.0-8 dated 2021-05-10

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Package recmap updated to version 1.0.9 with previous version 1.0.7 dated 2020-02-20

Title: Compute the Rectangular Statistical Cartogram
Description: Provides an interface and a C++ implementation of the RecMap MP2 construction heuristic (Panse C. (2018) <doi:10.18637/jss.v086.c01>). This algorithm draws maps according to a given statistical value (e.g., election results, population or epidemiological data). The basic idea of the RecMap algorithm is that each map region (e.g., different countries) is represented by a rectangle. The area of each rectangle represents the statistical value given as input (maintain zero cartographic error). Documentation about the usage of the recmap algorithm is provided by a vignette included in this package.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>)
Maintainer: Christian Panse <Christian.Panse@gmail.com>

Diff between recmap versions 1.0.7 dated 2020-02-20 and 1.0.9 dated 2021-05-10

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Package parseRPDR updated to version 0.1.0 with previous version 0.0.2 dated 2021-04-16

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint. 'parseRPDR' currently supports txt sources: "mrn", "con", "dem", "enc", "rdt", "lab", "med", "dia", "rfv", "car", "dis", "end", "hnp", "opn", "pat", "prg", "pul", "rad" and "vis". All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

Diff between parseRPDR versions 0.0.2 dated 2021-04-16 and 0.1.0 dated 2021-05-10

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 41 files changed, 361 insertions(+), 206 deletions(-)

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New package parsermd with initial version 0.1.0
Package: parsermd
Title: Formal Parser and Related Tools for R Markdown Documents
Version: 0.1.0
Authors@R: person(given = "Colin", family = "Rundel", role = c("aut", "cre"), email = "rundel@gmail.com")
Description: An implementation of a formal grammar and parser for R Markdown documents using the Boost Spirit X3 library. It also includes a collection of high level functions for working with the resulting abstract syntax tree.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: purrr, Rcpp, cli (>= 2.5.0), checkmate, readr, tidyr, dplyr, tibble, yaml, withr, rmarkdown, pillar, rlang, magrittr, tidyselect, lifecycle
SystemRequirements: C++14
LinkingTo: Rcpp, BH
Suggests: testthat (>= 3.0.0), knitr
VignetteBuilder: knitr
URL: https://github.com/rundel/parsermd
BugReports: https://github.com/rundel/parsermd/issues
NeedsCompilation: yes
Packaged: 2021-05-07 14:56:31 UTC; rundel
Author: Colin Rundel [aut, cre]
Maintainer: Colin Rundel <rundel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:50:02 UTC

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New package nnspat with initial version 0.1.0
Package: nnspat
Title: Nearest Neighbor Methods for Spatial Patterns
Version: 0.1.0
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for testing the spatial patterns (of segregation, spatial symmetry, association, disease clustering, species correspondence and reflexivity) based on nearest neighbor relations, especially using contingency tables such as nearest neighbor contingency tables, nearest neighbor symmetry contingency tables, species correspondence contingency tables and reflexivity contingency tables for two (or higher) dimensional data. Also contains functions for generating patterns of segregation, association, uniformity in a multi-class setting, and various non-random labeling patterns for disease clustering in two dimensional cases, and for visualization of all these patterns for the two dimensional data. The tests are usually (asymptotic) normal z-tests and chi-square tests.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: MASS, stats, graphics, Rdpack (>= 0.7)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-05-07 02:55:43 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-05-10 07:30:02 UTC

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Package migraph updated to version 0.6.5 with previous version 0.6.3 dated 2021-04-26

Title: Multimodal and Multilevel Network Analysis
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 0.6.3 dated 2021-04-26 and 0.6.5 dated 2021-05-10

 migraph-0.6.3/migraph/R/data_elite_mex.R                  |only
 migraph-0.6.3/migraph/R/data_elite_usa_advice.R           |only
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 migraph-0.6.5/migraph/MD5                                 |   29 +-
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 migraph-0.6.5/migraph/NEWS.md                             |   31 ++
 migraph-0.6.5/migraph/R/coercion.R                        |    4 
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 20 files changed, 239 insertions(+), 31 deletions(-)

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New package mgss with initial version 1.2
Package: mgss
Title: A Matrix-Free Multigrid Preconditioner for Spline Smoothing
Version: 1.2
Authors@R: c( person("Martin", "Siebenborn", role = c("aut", "cre", "cph"), email = "martin.siebenborn@uni-hamburg.de"), person("Julian", "Wagner", role = c("aut", "cph"), email = "juwagn89@gmail.com") )
Description: Data smoothing with penalized splines is a popular method and is well established for one- or two-dimensional covariates. The extension to multiple covariates is straightforward but suffers from exponentially increasing memory requirements and computational complexity. This toolbox provides a matrix-free implementation of a conjugate gradient (CG) method for the regularized least squares problem resulting from tensor product B-spline smoothing with multivariate and scattered data. It further provides matrix-free preconditioned versions of the CG-algorithm where the user can choose between a simpler diagonal preconditioner and an advanced geometric multigrid preconditioner. The main advantage is that all algorithms are performed matrix-free and therefore require only a small amount of memory. For further detail see Siebenborn & Wagner (2021).
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.5), combinat (>= 0.0-8), statmod (>= 1.1), Matrix (>= 1.2)
LinkingTo: Rcpp
Encoding: UTF-8
Repository: CRAN
Suggests: testthat
BugReports: https://github.com/SplineSmoothing/MGSS
NeedsCompilation: yes
Packaged: 2021-05-07 13:43:38 UTC; martin
Author: Martin Siebenborn [aut, cre, cph], Julian Wagner [aut, cph]
Maintainer: Martin Siebenborn <martin.siebenborn@uni-hamburg.de>
Date/Publication: 2021-05-10 07:50:06 UTC

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New package madgrad with initial version 0.1.0
Package: madgrad
Title: 'MADGRAD' Method for Stochastic Optimization
Version: 0.1.0
Authors@R: c( person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")), person(family = "RStudio", role = c("cph")), person(family = "MADGRAD original implementation authors.", role = c("cph")) )
Description: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) <arxiv:2101.11075>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch (>= 0.3.0), rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-05-07 14:17:39 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], RStudio [cph], MADGRAD original implementation authors. [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:30:12 UTC

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Package loon updated to version 1.3.6 with previous version 1.3.5 dated 2021-05-06

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut], R. Wayne Oldford [aut, cre, ths], Zehao Xu [ctb], Martin Gauch [ctb]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between loon versions 1.3.5 dated 2021-05-06 and 1.3.6 dated 2021-05-10

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 18 files changed, 683 insertions(+), 1319 deletions(-)

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New package httk with initial version 2.0.4
Package: httk
Version: 2.0.4
Date: 2021-05-07
Title: High-Throughput Toxicokinetics
Description: Generic models and chemical-specific data for simulation and statistical analysis of chemical toxicokinetics ("TK") as described by Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models can be parameterized with the data provided for thousands of chemicals, multiple exposure routes, and various species. The models consist of systems of ordinary differential equations which are solved using compiled (C-based) code for speed. A Monte Carlo sampler is included, which allows for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Authors@R: c( person("John", "Wambaugh", email = "wambaugh.john@epa.gov", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4024-534X")), person("Robert", "Pearce", role = c("aut"), comment = c(ORCID = "0000-0003-3168-4049")), person("Caroline", "Ring", email = "cring@toxstrategies.com", role = c("aut"), comment = c(ORCID = "0000-0002-0463-1251")), person("Greg", "Honda", email = "honda.gregory@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0001-7713-9850")), person("Mark", "Sfeir", email = "sfeir.mark@epa.gov", role = c("aut")), person("Matt", "Linakis", email = "matthew.linakis.1@us.af.mil", role = c("aut"), comment = c(ORCID = "0000-0003-0526-2395")), person("Sarah", "Davidson", email = "davidson.sarah.e@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0002-2891-9380")), person("Miyuki", "Breen", email = "breen.miyuki@epa.gov", role = c("ctb"), comment = c(ORCID= "0000-0001-8511-4653")), person("Shannon", "Bell", email="sbell@ils-inc.com", role = c("ctb")), person("Xiaoqing", "Chang", email="xchang@ils-inc.com", role = c("ctb"), comment = c(ORCID = "0000-0003-0752-1848")), person("Jimena", "Davis", role = c("ctb")), person("James", "Sluka", email = "jsluka@indiana.edu", role = c("ctb"), comment = c(ORCID = "0000-0002-5901-1404")), person("Nisha", "Sipes", email = "sipes.nisha@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0003-4203-6426")), person("Barbara", "Wetmore", email = "wetmore.barbara@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6878-5348")), person("Woodrow", "Setzer", email = "setzer.woodrow@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6709-9186")) )
Depends: R (>= 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, graphics, utils, magrittr, purrr, methods
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales, EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks, stringr, reshape, reshape2, gdata, viridis, CensRegMod, gmodels, colorspace, cowplot, ggrepel, dplyr, forcats, smatr, gtools, gridExtra, testthat
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
URL: https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
BugReports: https://github.com/USEPA/CompTox-ExpoCast-httk
NeedsCompilation: yes
Packaged: 2021-05-07 14:35:59 UTC; jwambaug
Author: John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>), Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>), Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>), Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>), Mark Sfeir [aut], Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>), Sarah Davidson [aut] (<https://orcid.org/0000-0002-2891-9380>), Miyuki Breen [ctb] (<https://orcid.org/0000-0001-8511-4653>), Shannon Bell [ctb], Xiaoqing Chang [ctb] (<https://orcid.org/0000-0003-0752-1848>), Jimena Davis [ctb], James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>), Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>), Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>), Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Copyright: This package is primarily developed by employees of the U.S. Federal government as part of their official duties and is therefore public domain.
Repository: CRAN
Date/Publication: 2021-05-10 07:50:08 UTC

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Package ffscrapr updated to version 1.4.2 with previous version 1.4.1 dated 2021-04-18

Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre], Tony ElHabr [ctb], Joe Sydlowski [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

Diff between ffscrapr versions 1.4.1 dated 2021-04-18 and 1.4.2 dated 2021-05-10

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 tests/testthat/test-ff_scoringhistory.R |    4 
 vignettes/espn_basics.Rmd               |    6 
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 vignettes/mfl_basics.Rmd                |    6 
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 126 files changed, 485 insertions(+), 435 deletions(-)

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New package crsuggest with initial version 0.3
Package: crsuggest
Title: Obtain Suggested Coordinate Reference System Information for Spatial Data
Version: 0.3
Date: 2021-05-07
Authors@R: c(person(given = "Kyle", family = "Walker", email="kyle@walker-data.com", role=c("aut", "cre")))
Description: Uses data from the 'EPSG' Registry to look up suitable coordinate reference system transformations for spatial datasets in R. Returns a data frame with 'CRS' codes that can be used for 'CRS' transformation and mapping projects. Please see the 'EPSG' Dataset Terms of Use at <https://epsg.org/terms-of-use.html> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: sf (>= 0.9), units, dplyr, purrr, mapview
Suggests: mapboxapi, tigris, tidycensus, ggplot2
Depends: R (>= 3.3)
NeedsCompilation: no
Packaged: 2021-05-07 14:45:29 UTC; kyle
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:11 UTC

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New package CPGLIB with initial version 1.0.0
Package: CPGLIB
Title: Competing Proximal Gradients Library
Version: 1.0.0
Date: 2021-05-05
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, vctrs, glmnet, mvnfast
NeedsCompilation: yes
Packaged: 2021-05-06 23:04:00 UTC; antho
Repository: CRAN
Date/Publication: 2021-05-10 07:12:24 UTC

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New package classmap with initial version 1.0.0
Package: classmap
Title: Visualizing Classification Results by Classmaps
Date: 2021-05-05
Version: 1.0.0
Authors@R: c( person(given="Jakob",family="Raymaekers", role = c("aut","cre"), email="jakob.raymaekers@kuleuven.be"), person(given="Peter",family="Rousseeuw", role = c("aut")) )
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Depends: R (>= 3.5.0)
Suggests: knitr, reshape2, svd,
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Tools to visualize the results of a classification obtained by discriminant analysis, k-nearest neighbors, and support vector machines, for two or more classes. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, to appear. In addition to class maps, also stacked plots are made. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples" and "Support_vector_machine_examples".
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 16:01:15 UTC; u0105404
Repository: CRAN
Date/Publication: 2021-05-10 07:52:20 UTC

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Package BiocManager updated to version 1.30.14 with previous version 1.30.13 dated 2021-05-07

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] (<https://orcid.org/0000-0002-5874-8148>), Marcel Ramos [ctb, cre] (<https://orcid.org/0000-0002-3242-0582>)
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

Diff between BiocManager versions 1.30.13 dated 2021-05-07 and 1.30.14 dated 2021-05-10

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New package BayesPPD with initial version 1.0.0
Package: BayesPPD
Title: Bayesian Power Prior Design
Version: 1.0.0
Authors@R: c( person(given = "Yueqi", family = "Shen", role = c("cre"), email = "ys137@live.unc.edu"), person(given = "Matthew A.", family = "Psioda", role = c("aut"), email = "matt_psioda@unc.edu"), person(given = "Joseph G.", family = "Ibrahim", role = c("aut"), email = "ibrahim@bios.unc.edu"))
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RcppNumerical,
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
Packaged: 2021-05-07 17:01:02 UTC; angie
Author: Yueqi Shen [cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:52:23 UTC

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New package artemis with initial version 1.0.5
Package: artemis
Title: Analysis and Simulation of Environmental DNA Experiments
Version: 1.0.5
Authors@R: c(person(given = "Matt", family = "Espe", role = c("aut", "cre"), email = "mespe@ucdavis.edu"), person(given = "Myfanwy", family = "Johnston", role = c("aut"), email = "myfanwy.johnston@fishsciences.net"))
Description: Provides a modeling framework for the design and analysis of experiments collecting environmental DNA.
License: GPL (>= 3)
Depends: methods, graphics, stats, ggplot2, R (>= 3.5.0), loo
Imports: Rcpp (>= 1.0.1), rstan (>= 2.19.0), lme4 (>= 1.1.21), rstantools (>= 2.1.1), utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, markdown, covr
VignetteBuilder: knitr
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Packaged: 2021-05-07 13:48:58 UTC; mespe
Author: Matt Espe [aut, cre], Myfanwy Johnston [aut]
Maintainer: Matt Espe <mespe@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:14 UTC

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Package greed updated to version 0.5.1 with previous version 0.5.0 dated 2021-04-21

Title: Clustering and Model Selection with the Integrated Classification Likelihood
Description: An ensemble of algorithms that enable the clustering of networks and data matrix such as counts matrix with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).
Author: Etienne Côme [aut, cre], Nicolas Jouvin [aut]
Maintainer: Etienne Côme <etienne.come@univ-eiffel.fr>

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Package ennet (with last version 0.2.1) was removed from CRAN

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

2021-02-03 0.2.1
2021-01-21 0.2.0
2020-11-24 0.1.0

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Package CatReg (with last version 2.0.2) was removed from CRAN

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

2021-04-22 2.0.2
2020-11-14 2.0.1
2020-03-14 1.0.0

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Package discord (with last version 1.0.0) was removed from CRAN

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

2020-11-10 1.0.0
2017-05-02 0.1

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Package DataEditR updated to version 0.1.1 with previous version 0.0.9 dated 2020-12-12

Title: An Interactive Editor for Viewing, Entering, Filtering & Editing Data
Description: An interactive editor built on 'rhandsontable' to allow the interactive viewing, entering, filtering and editing of data in R <https://dillonhammill.github.io/DataEditR/>.
Author: Dillon Hammill [aut, cre] (<https://orcid.org/0000-0002-1407-7223>)
Maintainer: Dillon Hammill <Dillon.Hammill@anu.edu.au>

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Package gvc updated to version 6.0.0 with previous version 5.2.0 dated 2020-04-23

Title: Global Value Chains Tools
Description: Several tools for Global Value Chain ('GVC') analysis are implemented.
Author: Bastiaan Quast [aut, cre], Victor Kummritz [aut]
Maintainer: Bastiaan Quast <bquast@gmail.com>

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Package clhs updated to version 0.8.1 with previous version 0.7-3 dated 2020-04-15

Title: Conditioned Latin Hypercube Sampling
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

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Package censo2017 updated to version 0.5 with previous version 0.4 dated 2021-02-06

Title: Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 Chilean Census Easy Access Database)
Description: Provee un acceso conveniente a mas de 17 millones de registros de la base de datos del Censo 2017. Los datos fueron importados desde el DVD oficial del INE usando el Convertidor REDATAM creado por Pablo De Grande. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Provides convenient access to more than 17 million records from the Chilean Census 2017 database. The datasets were imported from the official DVD provided by the Chilean National Bureau of Statistics by using the REDATAM converter created by Pablo De Grande and in addition it includes the maps accompanying these datasets.)
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Juan Correa [ctb], Maria Paula Caldas [rev] (rOpenSci), Frans van Dunee [rev] (rOpenSci), Melina Vidoni [rev] (rOpenSci), Constanza Manriquez [rev] (revision independiente de las vinietas), Instituto Nacional de Estadisticas (INE) [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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