Thu, 03 Sep 2020

Package rcreds (with last version 0.6.6) was removed from CRAN

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

2017-10-27 0.6.6

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Package coindeskr (with last version 0.1.0) was removed from CRAN

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

2018-01-05 0.1.0

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New package tiledb with initial version 0.8.0
Package: tiledb
Type: Package
Version: 0.8.0
Title: Sparse and Dense Multidimensional Array Storage Engine for Data Science
Author: TileDB, Inc.
Copyright: TileDB, Inc.
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>
Description: The data science storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
License: MIT + file LICENSE
URL: https://github.com/TileDB-Inc/TileDB-R
BugReports: https://github.com/TileDB-Inc/TileDB-R/issues
SystemRequirements: cmake (only when TileDB source build selected), git (only when TileDB source build selected)
Imports: methods, Rcpp, nanotime
LinkingTo: Rcpp
Suggests: tinytest, rmarkdown, knitr, BiocStyle, curl, bit64
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-08-28 12:16:12.336986 UTC; edd
Repository: CRAN
Date/Publication: 2020-09-03 22:50:02 UTC

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Package shapr updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-03

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements the method described in Aas, Jullum and Løland (2019) <arXiv:1903.10464>, which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values.
Author: Nikolai Sellereite [aut] (<https://orcid.org/0000-0002-4671-0337>), Martin Jullum [cre, aut] (<https://orcid.org/0000-0003-3908-5155>), Anders Løland [ctb], Jens Christian Wahl [ctb], Camilla Lingjærde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

Diff between shapr versions 0.1.2 dated 2020-09-03 and 0.1.3 dated 2020-09-03

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New package sdwd with initial version 1.0.4
Package: sdwd
Type: Package
Title: Sparse Distance Weighted Discrimination
Version: 1.0.4
Date: 2020-09-01
Author: Boxiang Wang and Hui Zou
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>
Description: Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) Sparse distance weighted discrimination, Journal of Computational and Graphical Statistics, 25(3), 826-838. (<doi:10.1080/10618600.2015.1049700>).
Depends: Matrix
Imports: grDevices, graphics, stats, methods
License: GPL-2
Repository: CRAN
NeedsCompilation: yes
Packaged: 2020-09-01 15:03:42 UTC; boxiangw
Date/Publication: 2020-09-03 22:20:02 UTC

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New package refund with initial version 0.1-22
Package: refund
Type: Package
Title: Regression with Functional Data
Version: 0.1-22
Date: 2020-08-31
Authors@R: c( person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu"), person("Fabian", "Scheipl", role = "aut", email = "fabian.scheipl@stat.uni-muenchen.de"), person("Lei", "Huang", role = "aut", email = "huangracer@gmail.com"), person("Julia", "Wrobel", role = c("aut","cre"), email="julia.wrobel@cuanschutz.edu"), person("Chongzhi", "Di", role = "aut", email = "cdi@fredhutch.org"), person("Jonathan", "Gellar", role="aut",email="jgellar1@jhu.edu"), person("Jaroslaw", "Harezlak", role="aut"), person(c("Mathew", "W."), "McLean", role="aut", email = "mathew.w.mclean@gmail.com"), person("Bruce", "Swihart", role ="aut", email = "bswihart@jhsph.edu"), person("Luo", "Xiao", role="aut", email = "lxiao@jhsph.edu"), person("Ciprian", "Crainiceanu", role = "aut", email = "ccrainic@jhsph.edu"), person(c("Philip", "T."), "Reiss", role = "aut", email = "phil.reiss@nyumc.org"), person("Yakuan", "Chen", role="ctb", email = "yc2641@@cumc.columbia.edu"), person("Sonja", "Greven", role = "ctb"), person("Lan", "Huo", role = "ctb", email = "lan.huo@nyumc.org"), person(c("Madan", "Gopal"), "Kundu", role="ctb"), person("So Young", "Park", role="ctb", email="spark13@ncsu.edu"), person(c("David", "L."), "Miller", role="ctb", email="dave@ninepointeightone.net"), person("Ana-Maria", "Staicu", role="ctb", email="ana-maria_staicu@ncsu.edu"))
Depends: R (>= 3.00.0)
Imports: fda, Matrix, lattice, boot, mgcv (>= 1.8-23), MASS, magic, nlme, gamm4, lme4, RLRsim, splines, grpreg, ggplot2, stats, pbs, methods
Suggests: RColorBrewer, reshape2, testthat
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
License: GPL (>= 2)
LazyLoad: yes
LazyData: true
Repository: CRAN
Collate: 'Omegas.R' 'af.R' 'af_old.R' 'amc.R' 'ccb.fpc.R' 'create.prep.func.R' 'coefficients.pfr.R' 'dt_basis.R' 'irreg2mat.R' 'fbps.R' 'fgam.R' 'fosr.R' 'fosr.perm.R' 'fosr.perm.fit.R' 'fosr.perm.test.R' 'fosr.vs.R' 'fosr2s.R' 'fpc.R' 'fpca2s.R' 'fpca.sc.R' 'fpca.face.R' 'fpca.ssvd.R' 'fpcr.R' 'fpcr.setup.R' 'lf.R' 'lf_old.R' 'lf.vd.R' 'lofocv.R' 'lpeer.R' 'lpfr.R' 'quadWeights.R' 'lw.test.R' 'osplinepen2d.R' 'parse.predict.pfr.R' 'peer.R' 'peer_old.R' 'pffr-ff.R' 'pffr-ffpc.R' 'pffr-methods.R' 'pffr-pcre.R' 'pffr-robust.R' 'pffr-sff.R' 'pffr-utilities.R' 'pffr.R' 'pfr.R' 'pfr_old.R' 'pi_basis.R' 'plot.fosr.R' 'plot.fosr.perm.R' 'plot.fosr.vs.R' 'plot.fpcr.R' 'plot.lpeer.R' 'plot.peer.R' 'plot.pfr.R' 'poridge.R' 'postprocess.pfr.R' 'predict.fgam.R' 'predict.fosr.R' 'predict.pfr.R' 'predict.pfr_old.R' 'preprocess.pfr.R' 'pspline.setting.R' 'pwcv.R' 'summary.pfr.R' 're.R' 'rlrt.pfr.R' 'vis.fgam.R' 'predict.fosr.vs.R' 'CD4-data.R' 'DTI-data.R' 'DTI2-data.R' 'PEER.Sim-data.R' 'gasoline-data.R' 'vis.pfr.R' 'GLS_CS.R' 'Gibbs_CS_FPCA.R' 'Gibbs_CS_Wish.R' 'Gibbs_Mult_FPCA.R' 'Gibbs_Mult_Wish.R' 'OLS_CS.R' 'VB_CS_FPCA.R' 'VB_CS_Wish.R' 'VB_Mult_FPCA.R' 'VB_Mult_Wish.R' 'XtSiginvX.R' 'bayes_fosr.R' 'f_sum.R' 'f_sum2.R' 'f_sum4.R' 'f_trace.R' 'mfpca.sc.R' 'fpca.lfda.R' 'predict.fbps.R' 'select_knots.R'
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-01 16:16:42 UTC; juliawrobel
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb]
Maintainer: Julia Wrobel <julia.wrobel@cuanschutz.edu>
Date/Publication: 2020-09-03 22:20:06 UTC

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Package RcppArmadillo updated to version 0.9.900.3.0 with previous version 0.9.900.2.0 dated 2020-07-17

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.900.2.0 dated 2020-07-17 and 0.9.900.3.0 dated 2020-09-03

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New package pcLasso with initial version 1.2
Package: pcLasso
Type: Package
Title: Principal Components Lasso
Version: 1.2
Imports: svd
Author: Jerome Friedman, Kenneth Tay, Robert Tibshirani
Maintainer: Rob Tibshirani <tibs@stanford.edu>
Description: A method for fitting the entire regularization path of the principal components lasso for linear and logistic regression models. The algorithm uses cyclic coordinate descent in a path-wise fashion. See URL below for more information on the algorithm. See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression' <arXiv:1810.04651>.
License: GPL-3
URL: https://arxiv.org/abs/1810.04651
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-01 22:41:09 UTC; naras
Repository: CRAN
Date/Publication: 2020-09-03 22:22:19 UTC

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Package MXM updated to version 1.4.9 with previous version 1.4.8 dated 2020-07-26

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets. Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). Feature selection for high-dimensional temporal data. BMC Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y>. d) Tsagris, M., Papadovasilakis, Z., Lakiotaki, K. and Tsamardinos, I. (2018). Efficient feature selection on gene expression data: Which algorithm to use? BioRxiv. <doi:10.1101/431734>. e) Tsagris, M. (2019). Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation. Applied Artificial Intelligence, 33(2):101-123. <doi:10.1080/08839514.2018.1526760>. f) Tsagris, M. and Tsamardinos, I. (2019). Feature selection with the R package MXM. F1000Research 7: 1505. <doi:10.12688/f1000research.16216.2>. g) Borboudakis, G. and Tsamardinos, I. (2019). Forward-Backward Selection with Early Dropping. Journal of Machine Learning Research 20: 1-39.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between MXM versions 1.4.8 dated 2020-07-26 and 1.4.9 dated 2020-09-03

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Package mdsr updated to version 0.2.0 with previous version 0.1.7 dated 2019-05-20

Title: Complement to 'Modern Data Science with R'
Description: A complement to *Modern Data Science with R* (ISBN: 978-1498724487, publisher URL: <https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487>). This package contains data and code to complete exercises and reproduce examples from the text. It also facilitates connections to the SQL database server used in the book. Both version of the book are supported by this package.
Author: Benjamin S. Baumer [aut, cre] (<https://orcid.org/0000-0002-3279-0516>), Nicholas Horton [aut] (<https://orcid.org/0000-0003-3332-4311>), Daniel Kaplan [aut]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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New package kerndwd with initial version 2.0.3
Package: kerndwd
Type: Package
Title: Distance Weighted Discrimination (DWD) and Kernel Methods
Version: 2.0.3
Date: 2020-08-27
Author: Boxiang Wang <boxiang-wang@uiowa.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>
Description: A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) <doi:10.1111/rssb.12244>.
Depends: methods
Imports: graphics, grDevices, stats, utils
License: GPL-2
Repository: CRAN
NeedsCompilation: yes
Packaged: 2020-09-01 14:53:24 UTC; boxiangw
Date/Publication: 2020-09-03 22:22:23 UTC

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New package JSM with initial version 1.0.1
Package: JSM
Type: Package
Title: Semiparametric Joint Modeling of Survival and Longitudinal Data
Version: 1.0.1
Date: 2020-07-22
Author: Cong Xu, Pantelis Z. Hadjipantelis and Jane-Ling Wang
Maintainer: Cong Xu <helenxu1112@gmail.com>
Description: Maximum likelihood estimation for the semiparametric joint modeling of survival and longitudinal data. Refer to the Journal of Statistical Software article: <doi:10.18637/jss.v093.i02>.
License: BSD_3_clause + file LICENSE
Imports: Rcpp (>= 0.11.5)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Depends: R (>= 3.0.0), nlme, splines, statmod, survival
Suggests: testthat
LazyData: true
Packaged: 2020-07-22 02:37:14 UTC; congxu
Repository: CRAN
Date/Publication: 2020-09-03 22:22:30 UTC

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New package gsarima with initial version 0.1-5
Package: gsarima
Version: 0.1-5
Date: 2020-09-03
Title: Two Functions for Generalized SARIMA Time Series Simulation
Author: Olivier Briet <o.briet@gmail.com>
Maintainer: Olivier Briet <o.briet@gmail.com>
Depends: R (>= 2.4.0)
Imports: MASS
Description: Write SARIMA models in (finite) AR representation and simulate generalized multiplicative seasonal autoregressive moving average (time) series with Normal / Gaussian, Poisson or negative binomial distribution. The methodology of this method is described in Briet OJT, Amerasinghe PH, and Vounatsou P (2013) <doi:10.1371/journal.pone.0065761>.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2020-09-03 08:56:24 UTC; Briet
Repository: CRAN
Date/Publication: 2020-09-03 22:22:27 UTC

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Package fabletools updated to version 0.2.1 with previous version 0.2.0 dated 2020-06-15

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], George Athanasopoulos [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package AUtests updated to version 0.99 with previous version 0.98 dated 2016-06-13

Title: Approximate Unconditional and Permutation Tests
Description: Performs approximate unconditional and permutation testing for 2x2 contingency tables. Motivated by testing for disease association with rare genetic variants in case-control studies. When variants are extremely rare, these tests give better control of Type I error than standard tests.
Author: Arjun Sondhi, Ken Rice
Maintainer: Arjun Sondhi <asondhi@uw.edu>

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Package gradeR updated to version 1.0.8 with previous version 1.0.7 dated 2020-06-17

Title: Helps Grade Assignment Submissions that are R Scripts
Description: After being given the location of your students' submissions and a test file, the function runs each .R file, and evaluates the results from all the given tests. Results are neatly returned in a data frame that has a row for each student, and a column for each test.
Author: Taylor Brown [aut, cre]
Maintainer: Taylor Brown <trb5me@virginia.edu>

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Package gimme updated to version 0.7-2 with previous version 0.7-1 dated 2020-02-15

Title: Group Iterative Multiple Model Estimation
Description: Automated identification and estimation of group- and individual-level relations in time series data from within a structural equation modeling framework.
Author: Stephanie Lane [aut, trl], Kathleen Gates [aut, cre], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], Adriene Beltz [csp]
Maintainer: KM Gates <gateskm@email.unc.edu>

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Package exiftoolr updated to version 0.1.4 with previous version 0.1.3 dated 2020-05-30

Title: ExifTool Functionality from R
Description: Reads, writes, and edits EXIF and other file metadata using ExifTool <https://exiftool.org/>, returning read results as a data frame. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, as well as the maker notes of many digital cameras by Canon, Casio, DJI, FLIR, FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

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Package robotstxt updated to version 0.7.13 with previous version 0.7.8 dated 2020-07-25

Title: A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler' Permissions Checker
Description: Provides functions to download and parse 'robots.txt' files. Ultimately the package makes it easy to check if bots (spiders, crawler, scrapers, ...) are allowed to access specific resources on a domain.
Author: Peter Meissner [aut, cre], Kun Ren [aut, cph] (Author and copyright holder of list_merge.R.), Oliver Keys [ctb] (original release code review), Rich Fitz John [ctb] (original release code review)
Maintainer: Peter Meissner <retep.meissner@gmail.com>

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Package startup updated to version 0.15.0 with previous version 0.14.1 dated 2020-04-01

Title: Friendly R Startup Configuration
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package phenopix updated to version 2.4.2 with previous version 2.4.1 dated 2020-06-06

Title: Process Digital Images of a Vegetation Cover
Description: A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
Author: Gianluca Filippa, Edoardo Cremonese, Mirco Migliavacca, Marta Galvagno, Matthias Folker, Andrew D. Richardson, Enrico Tomelleri
Maintainer: Gianluca Filippa <gian.filippa@gmail.com>

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Package NlinTS updated to version 1.4.3 with previous version 1.4.2 dated 2020-08-03

Title: Models for Non Linear Causality Detection in Time Series
Description: Models for non-linear time series analysis and causality detection. The main functionalities of this package consist of an implementation of the classical causality test (C.W.J.Granger 1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feed-forward neural networks. This package contains also an implementation of the Transfer Entropy <doi:10.1103/PhysRevLett.85.461>, and the continuous Transfer Entropy using an approximation based on the k-nearest neighbors <doi:10.1103/PhysRevE.69.066138>. There are also some other useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction model, the Augmented test of stationarity, and the discrete and continuous entropy and mutual information.
Author: Youssef Hmamouche [aut, cre]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

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Package Superpower updated to version 0.1.0 with previous version 0.0.3 dated 2020-02-17

Title: Simulation-Based Power Analysis for Factorial Designs
Description: Functions to perform simulations of ANOVA designs of up to three factors. Calculates the observed power and average observed effect size for all main effects and interactions in the ANOVA, and all simple comparisons between conditions. Includes functions for analytic power calculations and additional helper functions that compute effect sizes for ANOVA designs, observed error rates in the simulations, and functions to plot power curves. Please see Lakens, D., & Caldwell, A. R. (2019). "Simulation-Based Power-Analysis for Factorial ANOVA Designs". <doi:10.31234/osf.io/baxsf>.
Author: Aaron Caldwell [aut, cre], Daniel Lakens [aut], Lisa DeBruine [ctb], Jonathon Love [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>)
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package r2dii.analysis updated to version 0.1.0 with previous version 0.0.1 dated 2020-06-28

Title: Tools to Calculate Climate Targets for Financial Portfolios
Description: These tools help you to assess if a financial portfolio aligns with climate goals. They summarize key metrics attributed to the portfolio (e.g. production, emission factors), and calculate targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate.
Author: Jackson Hoffart [aut, cre] (<https://orcid.org/0000-0002-8600-5042>), Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>), Klaus Hogedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>

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Package RProbSup updated to version 2.3 with previous version 2.2 dated 2020-07-14

Title: Calculates Probability of Superiority
Description: The A() function calculates the A statistic, a nonparametric measure of effect size for two independent groups that’s also known as the probability of superiority (Ruscio, 2008), along with its standard error and a confidence interval constructed using bootstrap methods (Ruscio & Mullen, 2012). Optional arguments can be specified to calculate variants of the A statistic developed for other research designs (e.g., related samples, more than two independent groups or related samples; Ruscio & Gera, 2013). <DOI: 10.1037/1082-989X.13.1.19>. <DOI: 10.1080/00273171.2012.658329>. <DOI: 10.1080/00273171.2012.738184>.
Author: John Ruscio
Maintainer: John Ruscio <ruscio@tcnj.edu>

Diff between RProbSup versions 2.2 dated 2020-07-14 and 2.3 dated 2020-09-03

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Package processx updated to version 3.4.4 with previous version 3.4.3 dated 2020-07-05

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between processx versions 3.4.3 dated 2020-07-05 and 3.4.4 dated 2020-09-03

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Package caesar updated to version 1.1.0 with previous version 1.0.0 dated 2019-05-09

Title: Encrypts and Decrypts Strings
Description: Encrypts and decrypts strings using either the Caesar cipher or a pseudorandom number generation (using set.seed()) method.
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between caesar versions 1.0.0 dated 2019-05-09 and 1.1.0 dated 2020-09-03

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Package tscount (with last version 1.4.2) was removed from CRAN

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

2020-03-02 1.4.2

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Package gsarima (with last version 0.1-4) was removed from CRAN

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

2013-06-17 0.1-4
2013-01-17 0.1-3
2013-01-15 0.1-2
2009-06-14 0.0-2
2009-02-23 0.0-1.1
2008-04-20 0.0-1

Permanent link
Package rsimsum updated to version 0.9.1 with previous version 0.9.0 dated 2020-04-15

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional functionality.
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>

Diff between rsimsum versions 0.9.0 dated 2020-04-15 and 0.9.1 dated 2020-09-03

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New package fracture with initial version 0.1.0
Package: fracture
Title: Convert Decimals to Fractions
Version: 0.1.0
Authors@R: person(given = "Alexander", family = "Rossell Hayes", role = c("aut", "cre", "cph"), email = "alexander@rossellhayes.com", comment = c(ORCID = "0000-0001-9412-0457"))
Description: Provides functions for converting decimals to a matrix of numerators and denominators or a character vector of fractions. Supports mixed or improper fractions, finding common denominators for vectors of fractions, limiting denominators to powers of ten, and limiting denominators to a maximum value. Also includes helper functions for finding the least common multiple and greatest common divisor for a vector of integers. Implemented using C++ for maximum speed.
License: MIT + file LICENSE
URL: https://github.com/rossellhayes/fracture
BugReports: https://github.com/rossellhayes/fracture/issues
Imports: Rcpp
Suggests: covr, testthat
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-08-31 06:44:51 UTC; Alex
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2020-09-03 09:22:11 UTC

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Package zen4R updated to version 0.4-1 with previous version 0.4 dated 2020-09-02

Title: Interface to 'Zenodo' REST API
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload of files.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Julien Barde [ctb] (<https://orcid.org/0000-0002-3519-6141>), Stephen Eglen [ctb] (<https://orcid.org/0000-0001-8607-8025>), Hans Van Calster [ctb] (<https://orcid.org/0000-0001-8595-8426>), Floris Vanderhaeghe [ctb] (<https://orcid.org/0000-0002-6378-6229>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between zen4R versions 0.4 dated 2020-09-02 and 0.4-1 dated 2020-09-03

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New package shapr with initial version 0.1.2
Package: shapr
Version: 0.1.2
Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements the method described in Aas, Jullum and Løland (2019) <arXiv:1903.10464>, which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values.
Authors@R: c( person("Nikolai", "Sellereite", email = "nikolaisellereite@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4671-0337")), person("Martin", "Jullum", email = "Martin.Jullum@nr.no", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-3908-5155")), person("Anders", "Løland", email = "Anders.Loland@nr.no", role = "ctb"), person("Jens Christian", "Wahl", email = "Jens.Christian.Wahl@nr.no", role = "ctb"), person("Camilla", "Lingjærde", role = "ctb"), person("Norsk Regnesentral", role = c("cph", "fnd")) )
URL: https://norskregnesentral.github.io/shapr/, https://github.com/NorskRegnesentral/shapr
BugReports: https://github.com/NorskRegnesentral/shapr/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
Language: en-US
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: stats, data.table, Rcpp (>= 0.12.15), condMVNorm, mvnfast, Matrix
Suggests: ranger, xgboost, mgcv, testthat, knitr, rmarkdown, roxygen2, MASS, ggplot2, gbm
LinkingTo: RcppArmadillo, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-08-29 20:05:53 UTC; marti
Author: Nikolai Sellereite [aut] (<https://orcid.org/0000-0002-4671-0337>), Martin Jullum [cre, aut] (<https://orcid.org/0000-0003-3908-5155>), Anders Løland [ctb], Jens Christian Wahl [ctb], Camilla Lingjærde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>
Repository: CRAN
Date/Publication: 2020-09-03 08:20:03 UTC

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New package subtee with initial version 0.3-6
Package: subtee
Type: Package
Title: Subgroup Treatment Effect Estimation in Clinical Trials
Version: 0.3-6
Date: 2020-08-09
Author: Nicolas Ballarini [aut, cre], Bjoern Bornkamp [aut], Marius Thomas [aut, cre], Baldur Magnusson [ctb]
Maintainer: Nicolas Ballarini <nicoballarini@gmail.com>
Description: Naive and adjusted treatment effect estimation for subgroups. Model averaging (Bornkamp et.al, 2016 <doi:10.1002/pst.1796>) and bagging (Rosenkranz, 2016 <doi:10.1002/bimj.201500147>) are proposed to address the problem of selection bias in treatment effect estimates for subgroups. The package can be used for all commonly encountered type of outcomes in clinical trials (continuous, binary, survival, count). Additional functions are provided to build the subgroup variables to be used and to plot the results using forest plots.
Imports: MASS, ggplot2, survival, matrixStats
Suggests: knitr, rmarkdown, parallel, testthat
VignetteBuilder: knitr
Depends: R (>= 2.10)
License: GPL-2
NeedsCompilation: no
Packaged: 2020-09-03 02:35:49 UTC; nicolasballarini
Repository: CRAN
Date/Publication: 2020-09-03 07:30:02 UTC

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New package SphereOptimize with initial version 0.1.1
Package: SphereOptimize
Type: Package
Title: Optimization on a Unit Sphere
Version: 0.1.1
Author: Yijun Xie
Maintainer: Yijun Xie <yijun.xie@uwaterloo.ca>
Description: A simple tool for numerical optimization on the unit sphere. This is achieved by combining the spherical coordinating system with L-BFGS-B optimization. This algorithm is implemented in Kolkiewicz, A., Rice, G., & Xie, Y. (2020) <doi:10.1016/j.jspi.2020.07.001>.
License: GPL-3
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-08-29 04:34:03 UTC; xyj
Repository: CRAN
Date/Publication: 2020-09-03 07:32:15 UTC

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New package friends with initial version 0.1.0
Package: friends
Title: The Entire Transcript from Friends in Tidy Format
Version: 0.1.0
Authors@R: person(given = "Emil", family = "Hvitfeldt", role = c("aut", "cre"), email = "emilhhvitfeldt@gmail.com", comment = c(ORCID = "0000-0002-0679-1945"))
Description: The complete scripts from the American sitcom Friends in tibble format. Use this package to practice data wrangling, text analysis and network analysis.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: tibble
URL: https://github.com/EmilHvitfeldt/friends
BugReports: https://github.com/EmilHvitfeldt/friends/issues
NeedsCompilation: no
Packaged: 2020-08-29 02:28:29 UTC; emilhvitfeldthansen
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-03 07:22:11 UTC

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New package fmf with initial version 1.1.1
Package: fmf
Type: Package
Title: Fast Class Noise Detector with Multi-Factor-Based Learning
Version: 1.1.1
Date: 2020-08-07
Author: Wanwan Zheng [aut, cre], Mingzhe Jin [aut], Lampros Mouselimis [ctb, cph]
Maintainer: Wanwan Zheng <teiwanwan@gmail.com>
Authors@R: c( person("Wanwan", "Zheng", role=c("aut","cre"), email="teiwanwan@gmail.com"), person("Mingzhe", "Jin", role="aut"), person("Lampros", "Mouselimis", role=c("ctb", "cph")))
Description: A fast class noise detector which provides noise score for each observations. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb)
LazyData: TRUE
Depends: R(>= 2.10.0)
Imports: Rcpp, caret, solitude, kernlab, C50, e1071, FactoMineR, dplyr, factoextra, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown
RoxygenNote: 7.1.1
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-08-29 04:52:56 UTC; Mjin
Date/Publication: 2020-09-03 07:32:12 UTC

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New package card with initial version 0.1.0
Package: card
Type: Package
Title: Cardiovascular and Autonomic Research Design
Version: 0.1.0
Authors@R: c( person("Anish S. Shah", email = "asshah4@emory.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-9729-1558")) )
Description: Tools that can aid in the assessment of the autonomic regulation of cardiovascular physiology. The aims of this package are to: 1) study electrocardiography (both intervals and morphology) as extensions of signal processing, 2) study circadian rhythms and how it effects autonomic physiology, 3) assess clinical risk of autonomic dysfunction on cardiovascular health through the perspective of epidemiology and causality. The analysis of circadian rhythms through cosinor analysis are built upon the methods by Cornelissen (2014) <doi:10.1186/1742-4682-11-16> and Refinetti, Cornelissen, Halberg (2014) <doi:10.1080/09291010600903692>.
License: MIT + file LICENSE
URL: https://github.com/asshah4/card
BugReports: https://github.com/asshah4/card/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.5.0)
Imports: utils, stats, sf, lutz, magrittr, ggplot2, tidyr, dplyr, purrr, tibble, readr, lubridate, stringr, rlang, survival, broom, hardhat, recipes, data.table, Hmisc, generics, methods, ggrepel
Suggests: kableExtra, plyr, stargazer, knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-29 15:11:54 UTC; asshah4
Author: Anish S. Shah [aut, cre, cph] (<https://orcid.org/0000-0002-9729-1558>)
Maintainer: Anish S. Shah <asshah4@emory.edu>
Repository: CRAN
Date/Publication: 2020-09-03 07:52:10 UTC

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Package saeME updated to version 1.2.1 with previous version 1.2 dated 2020-08-30

Title: Small Area Estimation with Measurement Error
Description: A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.
Author: Muhammad Rifqi Mubarak [aut, cre], Azka Ubaidillah [aut]
Maintainer: Muhammad Rifqi Mubarak <16.9304@stis.ac.id>

Diff between saeME versions 1.2 dated 2020-08-30 and 1.2.1 dated 2020-09-03

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Package primes updated to version 1.1.0 with previous version 1.0.0 dated 2020-07-28

Title: Fast Functions for Prime Numbers
Description: Fast functions for dealing with prime numbers, such as testing whether a number is prime and generating a sequence prime numbers. Additional functions include finding prime factors and Ruth-Aaron pairs, finding next and previous prime numbers in the series, finding or estimating the nth prime, estimating the number of primes less than or equal to an arbitrary number, computing primorials, prime k-tuples (e.g., twin primes), finding the greatest common divisor and smallest (least) common multiple, testing whether two numbers are coprime, and computing Euler's totient function. Most functions are vectorized for speed and convenience.
Author: Os Keyes [aut, cre], Paul Egeler [aut] (<https://orcid.org/0000-0001-6948-9498>)
Maintainer: Os Keyes <ironholds@gmail.com>

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Package plu updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-09

Title: Pluralize Phrases
Description: Converts English phrases to singular or plural form based on the length of an associated vector. Contains helper functions to create natural language lists from vectors and to include the length of a vector in natural language.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between plu versions 0.1.0 dated 2020-06-09 and 0.1.1 dated 2020-09-03

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Package KMunicate updated to version 0.1.0 with previous version 0.0.2 dated 2020-08-03

Title: KMunicate-Style Kaplan–Meier Plots
Description: Produce Kaplan–Meier plots in the style recommended following the KMunicate study by Morris et al. (2019) <doi:10.1136/bmjopen-2019-030215>. The KMunicate style consists of Kaplan-Meier curves with confidence intervals to quantify uncertainty and an extended risk table (per treatment arm) depicting the number of study subjects at risk, events, and censored observations over time. The resulting plots are built using 'ggplot2' and can be further customised to a certain extent, including themes, fonts, and colour scales.
Author: Alessandro Gasparini [aut, cre, cph] (<https://orcid.org/0000-0002-8319-7624>)
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>

Diff between KMunicate versions 0.0.2 dated 2020-08-03 and 0.1.0 dated 2020-09-03

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More information about KMunicate at CRAN
Permanent link

New package ivreg with initial version 0.5-0
Package: ivreg
Title: Two-Stage Least-Squares Regression with Diagnostics
Version: 0.5-0
Authors@R: c(person(given = "John", family = "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca", comment = c(ORCHID = "0000-0002-1196-8012")), person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch", comment = c(ORCID = "0000-0002-6781-4733")), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")))
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression. The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Imports: car (>= 3.0-9), Formula, lmtest, stats
Suggests: AER, effects (>= 4.2.0), knitr, insight, parallel, rmarkdown, sandwich, testthat
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/john-d-fox/ivreg/issues/
URL: https://john-d-fox.github.io/ivreg/
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-02 15:47:59 UTC; johnfox
Author: John Fox [aut, cre] (0000-0002-1196-8012), Christian Kleiber [aut] (<https://orcid.org/0000-0002-6781-4733>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: John Fox <jfox@mcmaster.ca>
Repository: CRAN
Date/Publication: 2020-09-03 06:42:24 UTC

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Package detrendr updated to version 0.6.9 with previous version 0.6.8 dated 2020-08-03

Title: Detrend Images
Description: Detrend fluorescence microscopy image series for fluorescence fluctuation and correlation spectroscopy ('FCS' and 'FFS') analysis. This package contains functionality published in a 2016 paper <doi:10.1093/bioinformatics/btx434> but it has been extended since then with the Robin Hood algorithm and thus contains unpublished work.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths, cph] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between detrendr versions 0.6.8 dated 2020-08-03 and 0.6.9 dated 2020-09-03

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Package c212 updated to version 0.97 with previous version 0.95 dated 2019-05-14

Title: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)
Description: Methods for detecting safety signals in clinical trials using groupings of adverse events by body-system or system organ class. This work was supported by the Engineering and Physical Sciences Research Council (UK) (EPSRC) [award reference 1521741] and Frontier Science (Scotland) Ltd. The package title c212 is in reference to the original Engineering and Physical Sciences Research Council (UK) funded project which was named CASE 2/12.
Author: Raymond Carragher [aut, cre] (<https://orcid.org/0000-0002-0120-625X>)
Maintainer: Raymond Carragher <rcarragh@gmail.com>

Diff between c212 versions 0.95 dated 2019-05-14 and 0.97 dated 2020-09-03

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More information about c212 at CRAN
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Package gamlss.util (with last version 4.3-4) was removed from CRAN

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

2016-05-18 4.3-4
2015-02-03 4.3-2
2013-07-03 4.2-7
2012-10-10 4.2-0
2012-02-15 4.1-1
2011-05-02 4.0-5
2010-10-15 4.0-4
2010-05-22 4.0-0
2009-11-22 3.1-0

Permanent link
Package gamlss.mx (with last version 4.3-5) was removed from CRAN

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

2016-05-18 4.3-5
2015-07-28 4.3-2
2015-02-04 4.3-1
2014-01-18 4.2-7
2012-02-21 4.1-0
2010-10-15 4.0-4
2010-05-22 4.0-0
2009-11-22 3.1-0
2009-10-14 3.0-1
2009-07-21 3.0-0
2009-04-03 2.0-0
2008-06-06 1.9-0
2007-10-03 1.7-0
2007-05-02 1.6-0

Permanent link
Package MASSTIMATE updated to version 2.0 with previous version 1.4 dated 2019-12-11

Title: Body Mass Estimation Equations for Vertebrates
Description: Estimation equations are from a variety of sources and associated error estimation.
Author: Nicolas E. Campione
Maintainer: Nicolas E. Campione <ncampion@une.edu.au>

Diff between MASSTIMATE versions 1.4 dated 2019-12-11 and 2.0 dated 2020-09-03

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Package magree updated to version 1.1 with previous version 1.0 dated 2016-12-09

Title: Implements the O'Connell-Dobson-Schouten Estimators of Agreement for Multiple Observers
Description: Implements an interface to the legacy Fortran code from O'Connell and Dobson (1984) <DOI:10.2307/2531148>. Implements Fortran 77 code for the methods developed by Schouten (1982) <DOI:10.1111/j.1467-9574.1982.tb00774.x>. Includes estimates of average agreement for each observer and average agreement for each subject.
Author: Mark Clements, Dianne O'Connell
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between magree versions 1.0 dated 2016-12-09 and 1.1 dated 2020-09-03

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More information about magree at CRAN
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Package aplot updated to version 0.0.6 with previous version 0.0.5 dated 2020-07-22

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between aplot versions 0.0.5 dated 2020-07-22 and 0.0.6 dated 2020-09-03

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