Wed, 10 Oct 2018

Package RSDA updated to version 2.0.8 with previous version 2.0.7 dated 2018-10-05

Title: R to Symbolic Data Analysis
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
Author: Oldemar Rodriguez R. with contributions from Carlos Aguero, Olger Calderon, Roberto Zuniga and Jorge Arce
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package clhs updated to version 0.7-0 with previous version 0.6-0 dated 2018-04-12

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/b12728-46>).
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

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Package BiocManager updated to version 1.30.3 with previous version 1.30.2 dated 2018-08-24

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>

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Package GetHFData updated to version 1.6 with previous version 1.5 dated 2017-11-28

Title: Download and Aggregate High Frequency Trading Data from Bovespa
Description: Downloads and aggregates high frequency trading data for Brazilian instruments directly from Bovespa ftp site <ftp://ftp.bmf.com.br/MarketData/>.
Author: Marcelo Perlin [aut, cre], Henrique Ramos [ctb]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetHFData versions 1.5 dated 2017-11-28 and 1.6 dated 2018-10-10

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Package ca updated to version 0.71 with previous version 0.70 dated 2016-12-14

Title: Simple, Multiple and Joint Correspondence Analysis
Description: Computation and visualization of simple, multiple and joint correspondence analysis.
Author: Michael Greenacre [aut], Oleg Nenadic [aut, cre], Michael Friendly [ctb]
Maintainer: Oleg Nenadic <onenadi@uni-goettingen.de>

Diff between ca versions 0.70 dated 2016-12-14 and 0.71 dated 2018-10-10

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Package rcheology updated to version 3.5.1.1 with previous version 3.5.1.0 dated 2018-07-20

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

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Package emdi updated to version 1.1.4 with previous version 1.1.3 dated 2018-07-24

Title: Estimating and Mapping Disaggregated Indicators
Description: Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation and the model-based approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel.
Author: Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>

Diff between emdi versions 1.1.3 dated 2018-07-24 and 1.1.4 dated 2018-10-10

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Package breathteststan updated to version 0.4.4 with previous version 0.4.3 dated 2018-07-30

Title: Stan-Based Fit to Gastric Emptying Curves
Description: Stan-based curve-fitting function for use with package 'breathtestcore' by the same author. Stan functions are refactored here for easier testing.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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New package saemix with initial version 2.2
Package: saemix
Type: Package
Title: Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Version: 2.2
Date: 2018-10-05
Author: Emmanuelle Comets, Audrey Lavenu, Marc Lavielle (2017) <doi:10.18637/jss.v080.i03>
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>
Description: The SAEMIX package implements the Stochastic Approximation EM algorithm for parameter estimation in (non)linear mixed effects models. The SAEM algorithm: - computes the maximum likelihood estimator of the population parameters, without any approximation of the model (linearisation, quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, - provides standard errors for the maximum likelihood estimator - estimates the conditional modes, the conditional means and the conditional standard deviations of the individual parameters, using the Hastings-Metropolis algorithm. Several applications of SAEM in agronomy, animal breeding and PKPD analysis have been published by members of the Monolix group (<http://group.monolix.org/>).
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Suggests: testthat (>= 0.3)
Imports: graphics, stats, methods
Collate: 'aaa_generics.R' 'SaemixData.R' 'SaemixModel.R' 'SaemixRes.R' 'SaemixObject.R' 'compute_LL.R' 'func_FIM.R' 'func_aux.R' 'func_distcond.R' 'func_plots.R' 'func_simulations.R' 'main.R' 'main_estep.R' 'main_initialiseMainAlgo.R' 'main_mstep.R' 'zzz.R'
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-10 13:09:15 UTC; eco
Repository: CRAN
Date/Publication: 2018-10-10 16:00:03 UTC

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New package revealedPrefs with initial version 0.4
Package: revealedPrefs
Type: Package
Title: Revealed Preferences and Microeconomic Rationality
Version: 0.4
Date: 2018-10-10
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>
Description: Computation of (direct and indirect) revealed preferences, fast non-parametric tests of rationality axioms (WARP, SARP, GARP), simulation of axiom-consistent data, and detection of axiom-consistent subpopulations. Rationality tests follow Varian (1982) <doi:10.2307/1912771>, axiom-consistent subpopulations follow Crawford and Pendakur (2012) <doi:10.1111/j.1468-0297.2012.02545.x>.
License: GPL (>= 3)
Imports: pso
Depends: Rcpp
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-10-10 15:01:42 UTC; bart
Repository: CRAN
Date/Publication: 2018-10-10 16:00:20 UTC

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Package digest updated to version 0.6.18 with previous version 0.6.17 dated 2018-09-12

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel <edd@debian.org> with contributions by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen, Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx, Michel Lang, Viliam Simko, Kurt Hornik and Radford Neal.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package rhierbaps updated to version 1.1.0 with previous version 1.0.0 dated 2018-07-20

Title: Clustering Genetic Sequence Data Using the HierBAPS Algorithm
Description: Implements the hierarchical Bayesian analysis of populations structure (hierBAPS) algorithm of Cheng et al. (2013) <doi:10.1093/molbev/mst028> for clustering DNA sequences from multiple sequence alignments in FASTA format. The implementation includes improved defaults and plotting capabilities and unlike the original 'MATLAB' version removes singleton SNPs by default.
Author: Gerry Tonkin-Hill [cre, aut]
Maintainer: Gerry Tonkin-Hill <g.tonkinhill@gmail.com>

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Package MTS updated to version 1.0 with previous version 0.33 dated 2015-02-12

Title: All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models
Description: Multivariate Time Series (MTS) is a general package for analyzing multivariate linear time series and estimating multivariate volatility models. It also handles factor models, constrained factor models, asymptotic principal component analysis commonly used in finance and econometrics, and principal volatility component analysis. (a) For the multivariate linear time series analysis, the package performs model specification, estimation, model checking, and prediction for many widely used models, including vector AR models, vector MA models, vector ARMA models, seasonal vector ARMA models, VAR models with exogenous variables, multivariate regression models with time series errors, augmented VAR models, and Error-correction VAR models for co-integrated time series. For model specification, the package performs structural specification to overcome the difficulties of identifiability of VARMA models. The methods used for structural specification include Kronecker indices and Scalar Component Models. (b) For multivariate volatility modeling, the MTS package handles several commonly used models, including multivariate exponentially weighted moving-average volatility, Cholesky decomposition volatility models, dynamic conditional correlation (DCC) models, copula-based volatility models, and low-dimensional BEKK models. The package also considers multiple tests for conditional heteroscedasticity, including rank-based statistics. (c) Finally, the MTS package also performs forecasting using diffusion index, transfer function analysis, Bayesian estimation of VAR models, and multivariate time series analysis with missing values.Users can also use the package to simulate VARMA models, to compute impulse response functions of a fitted VARMA model, and to calculate theoretical cross-covariance matrices of a given VARMA model.
Author: Ruey S. Tsay and David Wood
Maintainer: Ruey S. Tsay <ruey.tsay@chicagobooth.edu>

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New package uwIntroStats with initial version 0.0.7
Package: uwIntroStats
Type: Package
Title: Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course
Version: 0.0.7
Date: 2018-10-9
Maintainer: Travis Y. Hee Wai <theewai@uw.edu>
Authors@R: c(person(given = "Scott S.", family = "Emerson", role = "aut"), person(given = "Andrew J.", family = "Spieker", role = "aut"), person(given = "Brian D.", family = "Williamson", role= "aut"), person(given = "Travis Y.", family = "Hee Wai", role = c("aut","cre"),email="theewai@uw.edu"), person(given = "Solomon", family = "Lim", role = "aut"), person("R Core Team", role = "ctb"), person(given = "Terry M", family = "Therneu", role = "ctb"), person("Thomas", "Lumley", role = "ctb"))
Description: A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.
Imports: Exact, geepack, plyr, survival, sandwich
License: GPL-2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-10-10 02:27:52 UTC; theewai
Author: Scott S. Emerson [aut], Andrew J. Spieker [aut], Brian D. Williamson [aut], Travis Y. Hee Wai [aut, cre], Solomon Lim [aut], R Core Team [ctb], Terry M Therneu [ctb], Thomas Lumley [ctb]
Repository: CRAN
Date/Publication: 2018-10-10 11:50:02 UTC

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Package tsibble updated to version 0.5.3 with previous version 0.5.2 dated 2018-09-11

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') to store and manage temporal-context data in a data-centric format, which is built on top of the 'tibble'. The 'tsibble' aims at easily manipulating and analysing temporal data, including counting and filling time gaps, aggregate over calendar periods, performing rolling window calculations, and etc.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>

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More information about tsibble at CRAN
Permanent link

Package smcfcs updated to version 1.3.1 with previous version 1.3.0 dated 2017-06-03

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between smcfcs versions 1.3.0 dated 2017-06-03 and 1.3.1 dated 2018-10-10

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Package CutpointsOEHR updated to version 0.1.2 with previous version 0.1.1 dated 2018-10-06

Title: Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped Relationships in Cox Model
Description: Use optimal equal-HR method to determine two optimal cutpoints of a continuous predictor that has a U-shaped relationship with survival outcomes based on Cox regression model. The optimal equal-HR method estimates two optimal cut-points that have approximately the same log hazard value based on Cox regression model and divides individuals into different groups according to their HR values.
Author: Yimin Chen, Zhang Jinxin
Maintainer: Yimin Chen <chenyimin0226@126.com>

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Package hNMF updated to version 0.8 with previous version 0.6 dated 2018-06-01

Title: Hierarchical Non-Negative Matrix Factorization
Description: Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.
Author: Nicolas Sauwen
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>

Diff between hNMF versions 0.6 dated 2018-06-01 and 0.8 dated 2018-10-10

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Package airGR updated to version 1.0.15.2 with previous version 1.0.14.1 dated 2018-09-28

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at Irstea-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] (<https://orcid.org/0000-0002-1503-6204>), Charles Perrin [aut, ths] (<https://orcid.org/0000-0001-8552-1881>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [aut] (<https://orcid.org/0000-0002-1444-1830>), Claude Michel [aut, ths], Vazken Andréassian [ctb, ths] (<https://orcid.org/0000-0001-7124-9303>), François Bourgin [ctb] (<https://orcid.org/0000-0002-2820-7260>, 'Parameter estimation' vignettes), Pierre Brigode [ctb] (<https://orcid.org/0000-0001-8257-0741>), Nicolas Le Moine [ctb], Thibaut Mathevet [ctb], Safouane Mouelhi [ctb], Ludovic Oudin [ctb], Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@irstea.fr>

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More information about airGR at CRAN
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Package Surrogate updated to version 1.0 with previous version 0.9 dated 2018-06-09

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.9 dated 2018-06-09 and 1.0 dated 2018-10-10

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More information about Surrogate at CRAN
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Package spotGUI updated to version 0.2.1 with previous version 0.2.0 dated 2018-06-01

Title: Graphical User Interface for the Package 'SPOT'
Description: A graphical user interface for the Sequential Parameter Optimization Toolbox (package 'SPOT'). It includes a quick, graphical setup for spot, interactive 3D plots, export possibilities and more.
Author: Frederik Rehbach [aut, cre], Martin Zaefferer [aut], Thomas Bartz-Beielstein [ctb], Andreas Fischbach [ctb], Lorenzo Gentile [ctb]
Maintainer: Frederik Rehbach <frederik.rehbach@th-koeln.de>

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Package fiftystater (with last version 1.0.1) was removed from CRAN

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

2016-11-14 1.0.1

Permanent link
Package DEploid (with last version 0.5.0) was removed from CRAN

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

2018-05-17 0.5.0
2017-08-31 0.4.4
2017-08-09 0.4.2
2017-08-09 0.4.3
2017-07-24 0.4.1
2016-11-25 0.3.2

Permanent link
Package wooldridge updated to version 1.3.1 with previous version 1.3.0 dated 2018-04-09

Title: 111 Data Sets from "Introductory Econometrics: A Modern Approach, 6e" by Jeffrey M. Wooldridge
Description: Students learning both econometrics and R may find the introduction to both challenging. However, if the text is "Introductory Econometrics: A Modern Approach" by Jeffrey M. Wooldridge, they are in luck! The wooldridge data package aims to lighten the task by efficiently loading any data set found in the text with a single command. Data sets have all been compressed to a fraction of their original size and are well documented. Documentation files contain the page numbers of the text where each set is used, the original source, time of publication, and notes suggesting ideas for further exploratory data analysis and research. If one need's to brush-up on model syntax, a vignette contains R solutions to examples from each chapter of the text. Data sets are from the 6th edition (Wooldridge 2016, ISBN-13: 978-1-305-27010-7), and are backwards compatible with all versions of the text.
Author: Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Maintainer: Justin M. Shea <jshea@roosevelt.edu>

Diff between wooldridge versions 1.3.0 dated 2018-04-09 and 1.3.1 dated 2018-10-10

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 vignettes/Introductory-Econometrics-Examples.Rmd | 1981 +++--
 236 files changed, 18097 insertions(+), 17095 deletions(-)

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Package NetworkChange updated to version 0.4 with previous version 0.3 dated 2017-08-19

Title: Bayesian Package for Network Changepoint Analysis
Description: Network changepoint analysis for undirected network data. The package implements a hidden Markov multilinear tensor regression model (Park and Sohn, 2017, <http://jhp.snu.ac.kr/NetworkChange.pdf>). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.
Author: Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between NetworkChange versions 0.3 dated 2017-08-19 and 0.4 dated 2018-10-10

 DESCRIPTION                   |   14 -
 MD5                           |   33 ++-
 NAMESPACE                     |    6 
 R/BreakDiagnostic.R           |only
 R/BreakPointLoss.R            |only
 R/Kmeans.R                    |only
 R/MakeBlockNetworkChange.R    |   50 +++--
 R/NetworkChange.r             |  363 ++++++++++++++++++++++++------------------
 R/NetworkChangeRobust.r       |only
 R/NetworkStatic.R             |  335 ++++++++++++++++++++++----------------
 R/Utils.R                     |    9 -
 R/data.R                      |only
 R/startUV.R                   |    6 
 data                          |only
 man/BreakDiagnostic.Rd        |only
 man/BreakPointLoss.Rd         |only
 man/Kmeans.Rd                 |only
 man/MajorAlly.Rd              |only
 man/MakeBlockNetworkChange.Rd |   18 +-
 man/NetworkChange.Rd          |   26 ++-
 man/NetworkChangeRobust.Rd    |only
 man/NetworkStatic.Rd          |   26 ++-
 man/PostwarAlly.Rd            |only
 23 files changed, 529 insertions(+), 357 deletions(-)

More information about NetworkChange at CRAN
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