Sun, 05 Aug 2018

Package simmer.bricks updated to version 0.2.0 with previous version 0.1.0 dated 2018-01-16

Title: Helper Methods for 'simmer' Trajectories
Description: Provides wrappers for common activity patterns in 'simmer' trajectories.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <i.ucar86@gmail.com>

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Package iotables updated to version 0.2.9 with previous version 0.2.4 dated 2018-01-30

Title: Importing and Manipulating Symmetric Input-Output Tables
Description: Pre-processing tasks related to working with Eurostat's symmetric input-output tables and provide basic input-output economics calculations. The package is a part of rOpenGov <http://ropengov.github.io/> to open source open government initiatives.
Author: Daniel Antal
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>

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Package tsibble updated to version 0.5.0 with previous version 0.4.0 dated 2018-07-06

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>

Diff between tsibble versions 0.4.0 dated 2018-07-06 and 0.5.0 dated 2018-08-05

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New package tidytransit with initial version 0.2.3
Package: tidytransit
Type: Package
Title: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification
Version: 0.2.3
Authors@R: c( person("Tom", "Buckley", role = c("aut", "cre"), email = "tom@tbuckl.com"), person("Danton", "Noriega-Goodwin", role = c("cph"), email = "danton.noriega@gmail.com"), person("Elaine", "McVey", role = c("cph"), email = "elaine.mcvey@transloc.com"), person("Charles Hans", "Thompson", role = c("cph"), email = "hans.thompson1@gmail.com"), person("Michael", "Sumner", role = c("cph")) )
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
License: GPL
LazyData: TRUE
Depends: R (>= 3.2.4)
Imports: dplyr, tibble, readr, httr, htmltools, magrittr, stringr, assertthat, scales, here, rlang, sf, lubridate, tidyr
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
URL: https://github.com/r-transit/tidytransit
BugReports: https://github.com/r-transit/tidytransit
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-05 16:18:07 UTC; tbuck
Author: Tom Buckley [aut, cre], Danton Noriega-Goodwin [cph], Elaine McVey [cph], Charles Hans Thompson [cph], Michael Sumner [cph]
Maintainer: Tom Buckley <tom@tbuckl.com>
Repository: CRAN
Date/Publication: 2018-08-05 18:10:03 UTC

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New package survsup with initial version 0.0.1
Package: survsup
Title: Plotting Survival Curves with Numbers at Risk Table
Version: 0.0.1
Authors@R: person("Daniel", "Lindholm", email = "daniel.lindholm@me.com", role = c("aut", "cre"))
Description: Implements functions to plot survival curves. Provides the capability to add numbers at risk tables, and allows for using the pipe operator to create more complex plots.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: http://github.com/dlindholm/survsup
BugReports: http://github.com/dlindholm/survsup/issues
LazyData: true
Imports: stats, utils, survival, dplyr, ggplot2, broom, colorspace, gridExtra
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-04 15:23:02 UTC; dl
Author: Daniel Lindholm [aut, cre]
Maintainer: Daniel Lindholm <daniel.lindholm@me.com>
Repository: CRAN
Date/Publication: 2018-08-05 18:30:03 UTC

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New package PELVIS with initial version 1.0.4
Package: PELVIS
Type: Package
Title: Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
Version: 1.0.4
Date: 2018-08-03
Author: Frédéric Santos
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>
Depends: R (>= 3.4.0), shiny
Imports: MASS
Description: An R-Shiny application implementing two methods for sexing the human os coxae based on eleven trichotomic traits, following Bruzek (2002) <doi:10.1002/ajpa.10012>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2018-08-03 09:12:59 UTC; f.santos
Repository: CRAN
Date/Publication: 2018-08-05 18:20:13 UTC

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New package localIV with initial version 0.1.0
Package: localIV
Type: Package
Title: Estimation of Marginal Treatment Effects using Local Instrumental Variables
Version: 0.1.0
Authors@R: person("Xiang", "Zhou", email = "xiang_zhou@fas.harvard.edu", role = c("aut", "cre"))
Description: In the generalized Roy model, the marginal treatment effect (MTE) can be used as a building block for constructing conventional causal parameters such as the average treatment effect (ATE) and the average treatment effect on the treated (ATT) (Heckman, Urzua, and Vytlacil 2006 <doi:10.1162/rest.88.3.389>). Given a treatment selection model and an outcome model, the function mte() estimates the MTE via local instrumental variables (or via a normal selection model) and also the projection of MTE onto the 2-dimensional space of the propensity score and a latent variable representing unobserved resistance to treatment (Zhou and Xie 2018 <https://scholar.harvard.edu/files/xzhou/files/zhou-xie_mte2.pdf>). The object returned by mte() can be used to estimate conventional parameters such as ATE and ATT (via average()) or marginal policy-relevant treatment effects (via mprte()).
Depends: R (>= 3.3.0)
Imports: KernSmooth (>= 2.5.0), mgcv (>= 1.8-19), sampleSelection (>= 1.2-0), stats
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
URL: https://github.com/xiangzhou09/localIV
BugReports: https://github.com/xiangzhou09/localIV
NeedsCompilation: no
Packaged: 2018-08-04 21:32:33 UTC; Xiang
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2018-08-05 18:20:03 UTC

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Package fitur updated to version 0.6.0 with previous version 0.5.25 dated 2018-03-11

Title: Fit Univariate Distributions
Description: Wrapper for computing parameters for univariate distributions using MLE. It creates an object that stores d, p, q, r functions as well as parameters and statistics for diagnostics. Currently supports automated fitting from base and actuar packages. A manually fitting distribution fitting function is included to support directly specifying parameters for any distribution from ancillary packages.
Author: Thomas Roh [aut, cre]
Maintainer: Thomas Roh <thomas@roh.engineering>

Diff between fitur versions 0.5.25 dated 2018-03-11 and 0.6.0 dated 2018-08-05

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New package BMSC with initial version 0.1
Package: BMSC
Title: Bayesian Model Selection under Constraints
Version: 0.1
Authors@R: c( person("Marcus", "Groß", email = "marcus.gross@inwt-statistics.de", role = c("aut", "cre")), person("Ricardo", "Fernandes", email = "ldv1452@gmail.com", role = c("aut")), person("Mira Celine", "Klein", email = "mira.klein@inwt-statistics.de", role = c("ctb")) )
Description: A Bayesian regression package supporting constrained coefficient estimation and variable selection using Stan. This includes a robust variable selection algorithm by a horseshoe prior (<doi:10.1093/biomet/asq017>) that finds the optimal model considering main effects, interactions as well as powers of given variables under potential parameter constraints.
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0)
Imports: dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), loo (>= 2.0.0), methods (>= 3.4.4), rstan (>= 2.17.3), rstantools (>= 1.5.0), R.utils (>= 2.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: StanHeaders (>= 2.17.1), rstan (>= 2.17.2), BH (>= 1.65.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0)
Suggests: lintr, testthat
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-08-03 09:19:19 UTC; mgross
Author: Marcus Groß [aut, cre], Ricardo Fernandes [aut], Mira Celine Klein [ctb]
Maintainer: Marcus Groß <marcus.gross@inwt-statistics.de>
Repository: CRAN
Date/Publication: 2018-08-05 18:20:16 UTC

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New package behaviorchange with initial version 0.0.1
Package: behaviorchange
Type: Package
Title: Tools for Behavior Change Researchers and Professionals
Version: 0.0.1
Date: 2018-08-06
Authors@R: c(person("Gjalt-Jorn", "Peters", email = "gjalt-jorn@a-bc.eu", role = c("aut", "cre", "ctb")))
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@a-bc.eu>
License: GPL (>= 3)
Description: Contains specialised analyses and visualisation tools for behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots) and systematically developing, reporting, and analysing interventions (for example, using acyclic behavior change diagrams). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers.
URL: https://a-bc.eu
BugReports: https://github.com/academy-of-behavior-change/behaviorchange/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.0.0)
Imports: data.tree (>= 0.7.5), DiagrammeR (>= 1.0.0), ggplot2 (>= 2.2.1), googlesheets (>= 0.3.0), gridExtra (>= 2.3), gtable (>= 0.2.0), magrittr (>= 0.1.5), ufs (>= 0.0.1), userfriendlyscience (>= 0.7.1), viridis (>= 0.5.1)
NeedsCompilation: no
Packaged: 2018-08-04 13:40:34 UTC; micro
Author: Gjalt-Jorn Peters [aut, cre, ctb]
Repository: CRAN
Date/Publication: 2018-08-05 18:20:10 UTC

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New package nbc4va with initial version 1.1
Package: nbc4va
Type: Package
Title: Bayes Classifier for Verbal Autopsy Data
Version: 1.1
Date: 2018-08-03
Authors@R: c( person(given = "Richard", family = "Wen", email = "rrwen.dev@gmail.com", role = c("aut", "cre")), person(given = "Pierre", family = "Miasnikof", role = "ctb"), person(given = "Vasily", family = "Giannakeas", role = "ctb"), person(given = "Mireille", family = "Gomes", role = "ctb"))
Maintainer: Richard Wen <rrwen.dev@gmail.com>
Description: An implementation of the Naive Bayes Classifier (NBC) algorithm used for Verbal Autopsy (VA) built on code from Miasnikof et al (2015) <DOI:10.1186/s12916-015-0521-2>.
Depends: R (>= 3.0.0)
Imports: graphics, methods, utils
Suggests: bookdown, knitr, rmarkdown, shiny, testthat
Enhances: openVA
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Collate: 'nbc4va.R' 'nbc4va_data.R' 'nbc4va_validation.R' 'nbc4va_internal.R' 'nbc4va_main.R' 'nbc4va_extra.R' 'nbc4va_utility.R' 'nbc4va_wrapper.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-03 17:10:48 UTC; Rich
Author: Richard Wen [aut, cre], Pierre Miasnikof [ctb], Vasily Giannakeas [ctb], Mireille Gomes [ctb]
Repository: CRAN
Date/Publication: 2018-08-05 16:40:03 UTC

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Package tidyRSS updated to version 1.2.5 with previous version 1.2.4 dated 2018-06-01

Title: Tidy RSS for R
Description: With the objective of including data from RSS feeds into your analysis, 'tidyRSS' parses RSS, Atom XML, JSON and geoRSS feeds and returns a tidy data frame.
Author: Robert Myles McDonnell
Maintainer: Robert Myles McDonnell <robertmylesmcdonnell@gmail.com>

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Package reticulate updated to version 1.10 with previous version 1.9 dated 2018-07-06

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package MKmisc updated to version 1.1 with previous version 1.0 dated 2018-03-08

Title: Miscellaneous Functions from M. Kohl
Description: Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals, and generation of similarity matrices.
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package RVsharing (with last version 1.7.0) was removed from CRAN

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

2017-02-09 1.7.0
2016-06-17 1.6.0
2016-05-13 1.5.0
2016-03-10 1.4.0
2015-05-11 1.3.4
2013-10-30 1.1.0
2013-10-04 1.0.2

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Package cgraph updated to version 2.0.0 with previous version 1.0.1 dated 2018-07-28

Title: Computational Graphs
Description: Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various functions including basic arithmetic, trigonometry functions, and linear algebra functions. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradient-based optimization, and machine learning.
Author: Ron Triepels
Maintainer: Ron Triepels <dev@cgraph.org>

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Package knor updated to version 0.0-5.1 with previous version 0.0-5 dated 2018-03-11

Title: Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means
Description: The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures.
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa@jhu.edu>

Diff between knor versions 0.0-5 dated 2018-03-11 and 0.0-5.1 dated 2018-08-05

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Package ICAOD updated to version 0.9.7 with previous version 0.9.6 dated 2018-01-21

Title: Optimal Designs for Nonlinear Models
Description: Finds optimal designs for nonlinear models using a metaheuristic algorithm called imperialist competitive algorithm ICA. See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014>.
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Maintainer: Ehsan Masoudi <ehsan.masoudi@wwu.de>

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Package RobRex updated to version 1.1.0 with previous version 0.9 dated 2013-09-14

Title: Optimally Robust Influence Curves for Regression and Scale
Description: Functions for the determination of optimally robust influence curves in case of linear regression with unknown scale and standard normal distributed errors where the regressor is random.
Author: Matthias Kohl [aut, cre, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between RobRex versions 0.9 dated 2013-09-14 and 1.1.0 dated 2018-08-05

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Package libstableR updated to version 1.0.1 with previous version 1.0 dated 2017-06-01

Title: Fast and Accurate Evaluation, Random Number Generation and Parameter Estimation of Skew Stable Distributions
Description: Tools for fast and accurate evaluation of skew stable distributions (CDF, PDF and quantile functions), random number generation and parameter estimation.
Author: Javier Royuela del Val [aut, cre], Federico Simmross-Wattenberg [aut], Carlos Alberola López [aut]
Maintainer: Javier Royuela del Val <jroyval@lpi.tel.uva.es>

Diff between libstableR versions 1.0 dated 2017-06-01 and 1.0.1 dated 2018-08-05

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Package emplik updated to version 1.0-3.1 with previous version 1.0-3 dated 2016-08-13

Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. Now does regression too. This version contains some C code.
Author: Mai Zhou. (Art Owen for el.test(). Yifan Yang for C code.)
Maintainer: Mai Zhou <mai@ms.uky.edu>

Diff between emplik versions 1.0-3 dated 2016-08-13 and 1.0-3.1 dated 2018-08-05

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Package SOD (with last version 1.0) was removed from CRAN

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

2014-07-04 1.0

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Package IFSPlot (with last version 1.0) was removed from CRAN

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

2018-05-15 1.0

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Package bioacoustics (with last version 0.1.3) was removed from CRAN

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

2018-08-04 0.1.3
2018-06-09 0.1.2

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New package TDAstats with initial version 0.3.0
Package: TDAstats
Type: Package
Title: Pipeline for Topological Data Analysis
Version: 0.3.0
Authors@R: c( person("Raoul", "Wadhwa", email = "raoulwadhwa@gmail.com", role = c("aut", "cre")), person("Andrew", "Dhawan", role = "aut"), person("Drew", "Williamson", role = "aut"), person("Jacob", "Scott", role = "aut"))
Description: A comprehensive toolset for any useR conducting topological data analysis, specifically via the calculation of persistent homology in a Vietoris-Rips complex. The tools this package currently provides can be conveniently split into three main sections: (1) calculating persistent homology; (2) conducting statistical inference on persistent homology calculations; (3) visualizing persistent homology and statistical inference. For a general background on computing persistent homology for topological data analysis, see Otter et al. (2017) <doi:10.1140/epjds/s13688-017-0109-5>. To learn more about how the permutation test is used for nonparametric statistical inference in topological data analysis, read Robinson & Turner (2017) <doi:10.1007/s41468-017-0008-7>. To learn more about how TDAstats calculates persistent homology, you can visit the GitHub repository for Ripser, the software that works behind the scenes at <https://github.com/Ripser/ripser>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4)
Imports: ggplot2 (>= 2.2.1), Rcpp (>= 0.12.15)
URL: https://github.com/rrrlw/TDAstats
BugReports: https://github.com/rrrlw/TDAstats/issues
LinkingTo: Rcpp
RoxygenNote: 6.0.1
SystemRequirements: C++11
Suggests: testthat (>= 2.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-08-05 03:12:01 UTC; rrrlw
Author: Raoul Wadhwa [aut, cre], Andrew Dhawan [aut], Drew Williamson [aut], Jacob Scott [aut]
Maintainer: Raoul Wadhwa <raoulwadhwa@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-05 05:50:03 UTC

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Package MultiFit updated to version 0.1.2 with previous version 0.1.1 dated 2018-08-02

Title: Multivariate Multiscale Framework for Independence Tests
Description: Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky and Ma (2018) <arXiv:1806.06777>.
Author: S. Gorsky, L. Ma
Maintainer: S. Gorsky <s.gorsky@duke.edu>

Diff between MultiFit versions 0.1.1 dated 2018-08-02 and 0.1.2 dated 2018-08-05

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Package arrangements updated to version 1.0.3 with previous version 1.0.2 dated 2018-01-18

Title: Fast Generators and Iterators for Permutations, Combinations and Partitions
Description: Fast generators and iterators for permutations, combinations and partitions. The iterators allow users to generate arrangements in a memory efficient manner and the generated arrangements are in lexicographical (dictionary) order. Permutations and combinations can be drawn with/without replacement and support multisets. It has been demonstrated that 'arrangements' outperforms most of the existing packages of similar kind. Some benchmarks could be found at <https://randy3k.github.io/arrangements/articles/benchmark.html>.
Author: Randy Lai [aut, cre]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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