Sat, 18 Dec 2021

Package tufte updated to version 0.11 with previous version 0.10 dated 2021-05-17

Title: Tufte's Styles for R Markdown Documents
Description: Provides R Markdown output formats to use Tufte styles for PDF and HTML output.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [aut], Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Andrzej Oles [ctb], Dave Liepmann [ctb] (Tufte CSS in inst/rmarkdown/templates/tufte_html/resources), RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tufte versions 0.10 dated 2021-05-17 and 0.11 dated 2021-12-18

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Package blogdown updated to version 1.7 with previous version 1.6 dated 2021-11-09

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>), Alison Presmanes Hill [aut] (<https://orcid.org/0000-0002-8082-1890>), Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Jake Barlow [ctb], James Balamuta [ctb], JJ Allaire [ctb], Jon Calder [ctb], Jozef Hajnala [ctb], Juan Manuel Vazquez [ctb], Kevin Ushey [ctb], Leonardo Collado-Torres [ctb], Maëlle Salmon [ctb], Maria Paula Caldas [ctb], Nicolas Roelandt [ctb], Oliver Madsen [ctb], Raniere Silva [ctb], TC Zhang [ctb], Xianying Tan [ctb], RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.6 dated 2021-11-09 and 1.7 dated 2021-12-18

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Package stars updated to version 0.5-5 with previous version 0.5-4 dated 2021-11-19

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Michael Sumner [ctb] (<https://orcid.org/0000-0002-2471-7511>), Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package progressr updated to version 0.10.0 with previous version 0.9.0 dated 2021-09-24

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between progressr versions 0.9.0 dated 2021-09-24 and 0.10.0 dated 2021-12-18

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Package openssl updated to version 1.4.6 with previous version 1.4.5 dated 2021-09-02

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 1.4.5 dated 2021-09-02 and 1.4.6 dated 2021-12-18

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Package MatrixExtra updated to version 0.1.9-1 with previous version 0.1.9 dated 2021-12-14

Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'mapSparse' or a shorter 'show' method.
Author: David Cortes [aut, cre, cph], Dmitry Selivanov [cph], Thibaut Goetghebuer-Planchon [cph] (Copyright holder of included robinmap library), Martin Maechler [cph] (Copyright holder of 'Matrix' package from which some code was taken)
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between MatrixExtra versions 0.1.9 dated 2021-12-14 and 0.1.9-1 dated 2021-12-18

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Package vannstats updated to version 1.0.12.16 with previous version 1.0.12.15 dated 2021-12-15

Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques, including hst(), box(), and qq(). Plots designed to replicate those that would result from similar calls in 'SPSS'. Also includes simplified formulae, such as mode(), scatter(), ow.anova(), and rm.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

Diff between vannstats versions 1.0.12.15 dated 2021-12-15 and 1.0.12.16 dated 2021-12-18

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Package migraph updated to version 0.8.13 with previous version 0.8.5 dated 2021-10-30

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>), Bernhard Bieri [ctb] (<https://orcid.org/0000-0001-5943-9059>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package L2DensityGoFtest updated to version 0.3.0 with previous version 0.2.0 dated 2021-10-07

Title: Density Goodness-of-Fit Test
Description: Provides functions for the implementation of a density goodness-of-fit test, based on piecewise approximation of the L2 distance.
Author: Dimitrios Bagkavos [aut, cre]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

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Package gausscov updated to version 0.1.3 with previous version 0.1.2 dated 2021-12-16

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the web site below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Assumption -free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

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Package tfhub updated to version 0.8.1 with previous version 0.8.0 dated 2020-05-22

Title: Interface to 'TensorFlow' Hub
Description: 'TensorFlow' Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a 'TensorFlow' graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning. Transfer learning train a model with a smaller dataset, improve generalization, and speed up training.
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

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Package rEDM updated to version 1.10.0 with previous version 1.9.3 dated 2021-10-16

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] (<https://orcid.org/0000-0001-5411-1409>), Cameron Smith [aut] (<https://orcid.org/0000-0003-0020-5607>), George Sugihara [aut, ccp] (<https://orcid.org/0000-0002-2863-6946>), Ethan Deyle [aut] (<https://orcid.org/0000-0001-8704-8434>), Erik Saberski [ctb] (<https://orcid.org/0000-0002-6475-6187>), Hao Ye [ctb] (<https://orcid.org/0000-0002-8630-1458>), The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

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Package nasapower updated to version 4.0.2 with previous version 4.0.3 dated 2021-12-18

Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>, Scott Chamberlain reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Hazel Kavili [rev] (Hazel Kavili reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Alison Boyer [rev] (Alison Boyer reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Fernando Miguez [ctb] (<https://orcid.org/0000-0002-4627-8329>, Fernando Miguez provided assistance in identifying improper missing value handling in the POWER data, see <https://github.com/femiguez/apsimx/pull/26>), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>, Maëlle Salmon contributed a patch to fix issues with using the R package, 'vcr', for testing the 'API' queries, see https://github.com/ropensci/nasapower/pull/64.)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package inti updated to version 0.5.2 with previous version 0.5.1 dated 2021-12-10

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>), QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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Package inlabru updated to version 2.4.0 with previous version 2.3.1 dated 2021-03-22

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes), Suen Man Ho [ctb, cph] (Man Ho Suen contributed features for aggregated responses)
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package FactorCopula updated to version 0.8 with previous version 0.5 dated 2020-09-11

Title: Factor, Bi-Factor and Second-Order Copula Models
Description: Estimation, model selection and goodness-of-fit of (1) factor copula models for mixed continuous and discrete data in Kadhem and Nikoloulopoulos (2021) <doi:10.1111/bmsp.12231>; (2) bi-factor and second-order copula models for item response data in Kadhem and Nikoloulopoulos (2021) <arXiv:2102.10660>.
Author: Sayed H. Kadhem [aut, cre], Aristidis K. Nikoloulopoulos [aut]
Maintainer: Sayed H. Kadhem <s.kadhem@uea.ac.uk>

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Package mistr updated to version 0.0.5 with previous version 0.0.4 dated 2020-11-23

Title: Mixture and Composite Distributions
Description: A flexible computational framework for mixture distributions with the focus on the composite models.
Author: Lukas Sablica [aut, cre] (<https://orcid.org/0000-0001-9166-4563>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

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Package nasapower updated to version 4.0.3 with previous version 4.0.0 dated 2021-08-23

Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>, Scott Chamberlain reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Hazel Kavili [rev] (Hazel Kavili reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Alison Boyer [rev] (Alison Boyer reviewed nasapower for rOpenSci, see https://github.com/ropensci/software-review/issues/155), Fernando Miguez [ctb] (<https://orcid.org/0000-0002-4627-8329>, Fernando Miguez provided assistance in identifying improper missing value handling in the POWER data, see <https://github.com/femiguez/apsimx/pull/26>), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>, Maëlle Salmon contributed a patch to fix issues with using the R package, 'vcr', for testing the 'API' queries, see https://github.com/ropensci/nasapower/pull/64.)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package Rwhois updated to version 1.0.6 with previous version 1.0.5 dated 2021-05-08

Title: WHOIS Server Querying
Description: Queries data from WHOIS servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

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Package aRtsy updated to version 0.1.6 with previous version 0.1.5 dated 2021-11-26

Title: Generative Art with 'ggplot2'
Description: Provides algorithms for creating artworks in the 'ggplot2' language that incorporate some form of randomness.
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <koen-derks@hotmail.com>

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Package RcppSMC updated to version 0.2.6 with previous version 0.2.5 dated 2021-09-09

Title: Rcpp Bindings for Sequential Monte Carlo
Description: R access to the Sequential Monte Carlo Template Classes by Johansen <doi:10.18637/jss.v030.i06> is provided. At present, four additional examples have been added, and the first example from the JSS paper has been extended. Further integration and extensions are planned.
Author: Dirk Eddelbuettel, Adam M. Johansen, Leah F. South and Ilya Zarubin
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package opentimsr updated to version 1.0.11 with previous version 1.0.7 dated 2021-07-06

Title: An Open-Source Loader for Bruker's timsTOF Data Files
Description: A free, open-source package designed for handling .tdf data files produced by Bruker's 'timsTOF' mass spectrometers. Fast, free, crossplatform, with no reading through EULAs or messing with binary .dll files involved.
Author: Michał Piotr Startek [aut, cre, cph] (<https://orcid.org/0000-0001-5227-3447>), Mateusz Krzysztof Łącki [aut, cph] (<https://orcid.org/0000-0001-7415-4748>)
Maintainer: Michał Piotr Startek <michal.startek@mimuw.edu.pl>

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Package calculus updated to version 0.3.2 with previous version 0.3.1 dated 2021-05-26

Title: High Dimensional Numerical and Symbolic Calculus
Description: Efficient C++ optimized functions for numerical and symbolic calculus as described in Guidotti (2020) <arXiv:2101.00086>. It includes basic arithmetic, tensor calculus, Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators (Gradient, Jacobian, Hessian, Divergence, Curl, Laplacian) and numerical integration in arbitrary orthogonal coordinate systems: cartesian, polar, spherical, cylindrical, parabolic or user defined by custom scale factors.
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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Package TensorTest2D updated to version 1.1.0 with previous version 1.0.3 dated 2021-07-08

Title: Fitting Second-Order Tensor Data
Description: An implementation of fitting generalized linear models on second-order tensor type data. The functions within this package mainly focus on parameter estimation, including parameter coefficients and standard deviation.
Author: Mark Chen [aut, cre], Sheng-Mao Chang [aut], Wenbin Lu [aut], Jung-Ying Tzeng [aut], Ping-Yang Chen [aut]
Maintainer: Mark Chen <l501l501l@gmail.com>

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Package iotables updated to version 0.4.6 with previous version 0.4.5 dated 2021-08-02

Title: Importing and Manipulating Symmetric Input-Output Tables
Description: Pre-processing and basic analytical tasks related to working with Eurostat's symmetric input-output tables and provide basic input-output economics calculations. The package is part of rOpenGov <http://ropengov.github.io/> to open source open government initiatives.
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>), Kasia Kulma [ctb] (<https://orcid.org/0000-0002-2952-9720>), Pyry Kantanen [ctb]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

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