Thu, 15 Oct 2020

Package waveband updated to version 4.7.1 with previous version 4.7 dated 2018-04-13

Title: Computes Credible Intervals for Bayesian Wavelet Shrinkage
Description: Computes Bayesian wavelet shrinkage credible intervals for nonparametric regression. The method uses cumulants to derive Bayesian credible intervals for wavelet regression estimates. The first four cumulants of the posterior distribution of the estimates are expressed in terms of the observed data and integer powers of the mother wavelet functions. These powers are closely approximated by linear combinations of wavelet scaling functions at an appropriate finer scale. Hence, a suitable modification of the discrete wavelet transform allows the posterior cumulants to be found efficiently for any data set. Johnson transformations then yield the credible intervals themselves. Barber, S., Nason, G.P. and Silverman, B.W. (2002) <doi:10.1111/1467-9868.00332>.
Author: Stuart Barber [aut], Guy Nason [cre, ctb]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>

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Package trialr updated to version 0.1.5 with previous version 0.1.4 dated 2020-04-06

Title: Clinical Trial Designs in 'rstan'
Description: A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The 'rstan' implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>), Trustees of Columbia University [cph]
Maintainer: Kristian Brock <kristian.brock@gmail.com>

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Package AzureQstor updated to version 1.0.1 with previous version 1.0.0 dated 2020-06-02

Title: Interface to 'Azure Queue Storage'
Description: An interface to 'Azure Queue Storage'. This is a cloud service for storing large numbers of messages, for example from automated sensors, that can be accessed remotely via authenticated calls using HTTP or HTTPS. Queue storage is often used to create a backlog of work to process asynchronously. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package waldo updated to version 0.2.2 with previous version 0.2.1 dated 2020-10-08

Title: Find Differences Between R Objects
Description: Compare complex R objects and reveal the key differences. Designed particularly for use in testing packages where being able to quickly isolate key differences makes understanding test failures much easier.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package idiogramFISH updated to version 1.16.7 with previous version 1.16.6 dated 2020-09-17

Title: Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Two styles of centromeres are available: triangular and rounded; and six styles of marks: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow, downArrow; its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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Package arkdb updated to version 0.0.7 with previous version 0.0.6 dated 2020-09-18

Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a robust, compressible, and portable way to store tables from databases. This package provides convenient functions for exporting tables from relational database connections into compressed text files and streaming those text files back into a database without requiring the whole table to fit in working memory.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Richard FitzJohn [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package GenAlgo updated to version 2.2.0 with previous version 2.1.5 dated 2018-10-17

Title: Classes and Methods to Use Genetic Algorithms for Feature Selection
Description: Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package supclust updated to version 1.1-0 with previous version 1.0-7 dated 2011-12-02

Title: Supervised Clustering of Predictor Variables Such as Genes
Description: Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.
Author: Marcel Dettling <marcel.dettling@zhaw.ch> and Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package wrMisc updated to version 1.4.0 with previous version 1.3.1 dated 2020-09-18

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). Other functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Many times large experimental datasets need some additional filtering, adequate functions are provided. Batch reading (or writing) of sets of files and combining data to arrays is supported, too. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

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Package sivs updated to version 0.2.3 with previous version 0.2.2 dated 2020-10-06

Title: Stable Iterative Variable Selection
Description: An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.
Author: Mehrad Mahmoudian [aut, cre] (<https://orcid.org/0000-0001-7650-1862>), Mikko Venäläinen [aut, rev] (<https://orcid.org/0000-0003-1777-4259>), Riku Klèn [aut, ths] (<https://orcid.org/0000-0002-0982-8360>), Laura Elo [aut, ths, fnd] (<https://orcid.org/0000-0001-5648-4532>)
Maintainer: Mehrad Mahmoudian <mehrad.mahmoudian@utu.fi>

Diff between sivs versions 0.2.2 dated 2020-10-06 and 0.2.3 dated 2020-10-15

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 man/sivs.Rd                         |    4 ++--
 vignettes/vignette_simple_usage.Rmd |    2 +-
 7 files changed, 18 insertions(+), 18 deletions(-)

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Package powdR updated to version 1.2.3 with previous version 1.2.2 dated 2020-06-17

Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Author: Benjamin Butler [aut, cre], Stephen Hillier [aut], Dylan Beaudette [ctb], Dennis Eberl [ctb]
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>

Diff between powdR versions 1.2.2 dated 2020-06-17 and 1.2.3 dated 2020-10-15

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Package feature updated to version 1.2.14 with previous version 1.2.13 dated 2015-10-26

Title: Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Description: Local inferential feature significance for multivariate kernel density estimation.
Author: Tarn Duong <tarn.duong@gmail.com> & Matt Wand <Matt.Wand@uts.edu.au>
Maintainer: Tarn Duong <tarn.duong@gmail.com>

Diff between feature versions 1.2.13 dated 2015-10-26 and 1.2.14 dated 2020-10-15

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Package bspm updated to version 0.3.7 with previous version 0.3.6 dated 2020-10-13

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

Diff between bspm versions 0.3.6 dated 2020-10-13 and 0.3.7 dated 2020-10-15

 DESCRIPTION |    6 +++---
 MD5         |    6 +++---
 NEWS.md     |    4 ++++
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 4 files changed, 11 insertions(+), 7 deletions(-)

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New package survivalmodels with initial version 0.1.0
Package: survivalmodels
Title: Models for Survival Analysis
Version: 0.1.0
Authors@R: person(given = "Raphael", family = "Sonabend", role = c("aut", "cre"), email = "raphael.sonabend.15@ucl.ac.uk", comment = c(ORCID = "0000-0001-9225-4654"))
Description: Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk, survival probabilities, or survival distributions with 'distr6' <https://CRAN.R-project.org/package=distr6>. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Novel machine learning survival models wil be included in the package in near-future updates. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox> and are detailed by Kvamme et al. (2019) <https://jmlr.org/papers/v20/18-424.html>. The 'Akritas' estimator is defined in Akritas (1994) <doi:10.1214/aos/1176325630>. 'DNNSurv' is defined in Zhao and Feng (2020) <arXiv:1908.02337>.
License: MIT + file LICENSE
URL: https://github.com/RaphaelS1/survivalmodels/
BugReports: https://github.com/RaphaelS1/survivalmodels/issues
Imports: Rcpp (>= 1.0.5)
Suggests: distr6 (>= 1.4.4), keras, pseudo, reticulate, survival, testthat
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-10-08 10:48:04 UTC; raphael
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2020-10-15 13:30:02 UTC

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New package sparta with initial version 0.5.0
Package: sparta
Type: Package
Title: Sparse Tables
Version: 0.5.0
Date: 2020-10-08
Authors@R: c(person(given = "Mads", family = "Lindskou", email = "mads@math.aau.dk", role = c("aut", "cre")))
Description: Fast Multiplication and Division of Sparse Tables.
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
RoxygenNote: 7.1.1
Suggests: tinytest
URL: https://github.com/mlindsk/sparta
BugReports: https://github.com/mlindsk/sparta/issues
NeedsCompilation: yes
Packaged: 2020-10-08 12:51:23 UTC; mads
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>
Repository: CRAN
Date/Publication: 2020-10-15 13:40:02 UTC

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New package rameritrade with initial version 0.1.4
Package: rameritrade
Title: 'TD Ameritrade' API Interface for R
Version: 0.1.4
Author: Tony Trevisan [aut, cre]
Authors@R: person(given = "Tony", family = "Trevisan", role = c("aut", "cre"), email = "anthonytrevisan@gmail.com")
Maintainer: Tony Trevisan <anthonytrevisan@gmail.com>
URL: https://github.com/tonytrevisan/rameritrade/, https://developer.tdameritrade.com/
BugReports: https://github.com/tonytrevisan/rameritrade/issues
Description: Use R to interface with the 'TD Ameritrade' API, including authentication, trading, price requests, account information, and option chains. A user will need a TD brokerage account and TD Ameritrade developer app. See README for authentication process and examples.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: httr, urltools (>= 1.7.3), lubridate, dplyr, jsonlite, magrittr
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-10-08 00:30:44 UTC; rstudio
Repository: CRAN
Date/Publication: 2020-10-15 13:20:02 UTC

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New package JSconsole with initial version 0.1.0
Package: JSconsole
Type: Package
Title: A 'RStudio' Addin to Send 'JavaScript' Code to the 'V8' Console
Version: 0.1.0
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Provides a 'RStudio' addin to send some 'JavaScript' code to the 'V8' console. The user can send an entire 'JavaScript' file or only some selected lines. This is useful to test the code.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: V8, rstudioapi
URL: https://github.com/stla/JSconsole
BugReports: https://github.com/stla/JSconsole/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-08 06:47:57 UTC; stla
Repository: CRAN
Date/Publication: 2020-10-15 13:30:06 UTC

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Package tergm updated to version 3.7.0 with previous version 3.6.1 dated 2019-06-12

Title: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Description: An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [ctb], Kirk Li [ctb], Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between tergm versions 3.6.1 dated 2019-06-12 and 3.7.0 dated 2020-10-15

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 89 files changed, 672 insertions(+), 501 deletions(-)

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New package RxODE with initial version 0.9.2-1
Package: RxODE
Version: 0.9.2-1
Title: Facilities for Simulating from ODE-Based Models
Authors@R: c( person("Matthew L.","Fidler", role = c("aut"), email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")), person("Melissa", "Hallow", role = "aut", email = "hallowkm@uga.edu"), person("Wenping", "Wang", role = c("aut", "cre"), email = "wwang8198@gmail.com"), person("Zufar", "Mulyukov", role="ctb", email="zufar.mulyukov@novartis.com"), person("Justin", "Wilkins", role = "ctb", email = "justin.wilkins@occams.com", comment=c(ORCID="0000-0002-7099-9396")), person("Simon", "Frost", role="ctb"), person("Goro", "Fuji", role="ctb", email="gfuji@cpan.org"), person("Morwenn","", role="ctb"), person("Heng", "Li", role="ctb"), person("Yu", "Feng", role="ctb"), person("Alan", "Hindmarsh",role="ctb"), person("Linda", "Petzold", role="ctb"), person("Ernst", "Hairer", role="ctb"), person("Gerhard", "Wanner", role="ctb"), person("J", "Colinge", role="ctb"), person("Hadley", "Wickham", role="ctb"), person("G", "Grothendieck", role="ctb"), person("Robert", "Gentleman",role="ctb"), person("Daniel C.", "Dillon", role="ctb"), person("Ross", "Ihaka", role="ctb"), person("Cleve", "Moler", role="ctb"), person("Jack", "Dongarra", role="ctb"), person("R core team", role="cph") )
Maintainer: Wenping Wang <wwang8198@gmail.com>
Depends: R (>= 3.6.0)
Suggests: DT, data.table (>= 1.12.4), nlme, shiny, tcltk, testthat, usethis, devtools, covr, rmarkdown, SnakeCharmR, dplyr (>= 0.8.0), tidyr, tibble, curl, gridExtra, microbenchmark, scales, stringi, htmltools, reticulate, rlang, installr, learnr, remotes, crayon, xgxr, digest, vdiffr, ggrepel
Imports: knitr, Matrix, PreciseSums (>= 0.3), Rcpp (>= 0.12.3), brew, cli, dparser (>= 0.1.8), ggplot2, inline, magrittr, memoise, methods, mvnfast, pillar, rex, sys, units(>= 0.6-0), utils, assertthat, lotri
Description: Facilities for running simulations from ordinary differential equation (ODE) models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The VODE and LSODA are in the public domain. The information is available in the inst/COPYRIGHTS. You can also obtain the archived SnakeCharmR for python integration from CRAN archives <https://cran.r-project.org/src/contrib/Archive/SnakeCharmR/> or <https://github.com/nlmixrdevelopment/SnakeCharmR>.
BugReports: https://github.com/nlmixrdevelopment/RxODE/issues
NeedsCompilation: yes
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://nlmixrdevelopment.github.io/RxODE/
RoxygenNote: 7.1.1
Biarch: true
LinkingTo: dparser(>= 0.1.8), Rcpp (>= 0.12.3), RcppArmadillo(>= 0.9.300.2.0), PreciseSums (>= 0.3)
Encoding: UTF-8
LazyData: true
Language: en-US
Packaged: 2020-10-12 12:55:12 UTC; wangwez
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Justin Wilkins [ctb] (<https://orcid.org/0000-0002-7099-9396>), Simon Frost [ctb], Goro Fuji [ctb], Morwenn [ctb], Heng Li [ctb], Yu Feng [ctb], Alan Hindmarsh [ctb], Linda Petzold [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], J Colinge [ctb], Hadley Wickham [ctb], G Grothendieck [ctb], Robert Gentleman [ctb], Daniel C. Dillon [ctb], Ross Ihaka [ctb], Cleve Moler [ctb], Jack Dongarra [ctb], R core team [cph]
Repository: CRAN
Date/Publication: 2020-10-15 12:10:13 UTC

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Package koRpus updated to version 0.13-3 with previous version 0.13-2 dated 2020-09-24

Title: An R Package for Text Analysis
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Note: For full functionality a local installation of TreeTagger is recommended. It is also recommended to not load this package directly, but by loading one of the available language support packages from the 'l10n' repository <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

Diff between koRpus versions 0.13-2 dated 2020-09-24 and 0.13-3 dated 2020-10-15

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Package handlr updated to version 0.3.0 with previous version 0.2.0 dated 2019-08-19

Title: Convert Among Citation Formats
Description: Converts among many citation formats, including 'BibTeX', 'Citeproc', 'Codemeta', 'RDF XML', 'RIS', 'Schema.org', and 'Citation File Format'. A low level 'R6' class is provided, as well as stand-alone functions for each citation format for both read and write.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between handlr versions 0.2.0 dated 2019-08-19 and 0.3.0 dated 2020-10-15

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Package geodist updated to version 0.0.6 with previous version 0.0.4 dated 2020-05-18

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph] (Original author of included code for geodesic distances)
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package SoupX updated to version 1.4.8 with previous version 1.4.5 dated 2020-05-26

Title: Single Cell mRNA Soup eXterminator
Description: Quantify, profile and remove ambient mRNA contamination (the "soup") from droplet based single cell RNA-seq experiments. Implements the method described in Young et al. (2018) <doi:10.1101/303727>.
Author: Matthew Daniel Young
Maintainer: Matthew Daniel Young <my4@sanger.ac.uk>

Diff between SoupX versions 1.4.5 dated 2020-05-26 and 1.4.8 dated 2020-10-15

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Package SmallCountRounding updated to version 0.6.0 with previous version 0.5.0 dated 2020-09-21

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.
Author: Øyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between SmallCountRounding versions 0.5.0 dated 2020-09-21 and 0.6.0 dated 2020-10-15

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New package acumos with initial version 0.4-1
Package: acumos
Title: 'Acumos' R Interface
Version: 0.4-1
Authors@R: c(person("Simon", "Urbanek", role = c("aut"), email = "simon.urbanek@R-project.org"), person("Alassane", "Samba", role = c("aut","cre"), email = "alassane.samba@orange.com"), person("AT&T", role = c("cph")), person("Tech Mahindra", role = c("cph")), person("Orange", role = c("cph")))
Description: Create, upload and run 'Acumos' R models. 'Acumos' (<https://www.acumos.org>) is a platform and open source framework intended to make it easy to build, share, and deploy AI apps. 'Acumos' is part of the 'LF AI Foundation', an umbrella organization within The Linux Foundation. With this package, user can create a component, and push it to an 'Acumos' platform.
License: Apache License (== 2.0)
Imports: httr, jsonlite, RProtoBuf, Rserve, RestRserve, yaml
Suggests: randomForest, testthat, callr
BugReports: https://jira.acumos.org/projects/ACUMOS/issues
URL: https://www.acumos.org (Acumos project website) https://gerrit.acumos.org/r/gitweb?p=acumos-r-client.git (code repository) https://github.com/acumos/acumos-r-client (mirror repository) https://docs.acumos.org/en/latest/submodules/acumos-r-client/docs (docs)
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-10-02 14:33:29 UTC; alassane
Author: Simon Urbanek [aut], Alassane Samba [aut, cre], AT&T [cph], Tech Mahindra [cph], Orange [cph]
Maintainer: Alassane Samba <alassane.samba@orange.com>
Repository: CRAN
Date/Publication: 2020-10-15 12:00:02 UTC

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Package TestCor updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2020-09-22

Title: FWER and FDR Controlling Procedures for Multiple Correlation Tests
Description: Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.
Author: Gannaz Irene [aut, cre]
Maintainer: Gannaz Irene <irene.gannaz@insa-lyon.fr>

Diff between TestCor versions 0.0.2.1 dated 2020-09-22 and 0.0.2.2 dated 2020-10-15

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Package bigutilsr updated to version 0.3.3 with previous version 0.3.2 dated 2020-05-15

Title: Utility Functions for Large-scale Data
Description: Utility functions for large-scale data. For now, package 'bigutilsr' mainly includes functions for outlier detection and unbiased PCA projection.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigutilsr versions 0.3.2 dated 2020-05-15 and 0.3.3 dated 2020-10-15

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Package MrSGUIDE updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-30

Title: Multiple Responses Subgroup Identification using 'GUIDE' Algorithm
Description: An R implementation of 'GUIDE' style algorithm focusing on subgroup identification problem under multiple responses of Loh et al. (2019) <doi:10.1002/widm.1326>. This package is intended for use for randomized trials and observational studies.
Author: Peigen Zhou [aut, cre] (<https://orcid.org/0000-0003-4609-0374>), Wei-Yin Loh [aut] (<https://orcid.org/0000-0001-6983-2495>)
Maintainer: Peigen Zhou <pzhou9@wisc.edu>

Diff between MrSGUIDE versions 0.1.1 dated 2020-05-30 and 0.1.2 dated 2020-10-15

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Package RobustGaSP updated to version 0.6.1 with previous version 0.6.0 dated 2020-07-09

Title: Robust Gaussian Stochastic Process Emulation
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

Diff between RobustGaSP versions 0.6.0 dated 2020-07-09 and 0.6.1 dated 2020-10-15

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Package L1pack updated to version 0.38.196 with previous version 0.38.19 dated 2017-11-14

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between L1pack versions 0.38.19 dated 2017-11-14 and 0.38.196 dated 2020-10-15

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Package iterators updated to version 1.0.13 with previous version 1.0.12 dated 2019-07-26

Title: Provides Iterator Construct
Description: Support for iterators, which allow a programmer to traverse through all the elements of a vector, list, or other collection of data.
Author: Michelle Wallig [cre], Revolution Analytics [aut, cph], Steve Weston [aut]
Maintainer: Michelle Wallig <Michelle.Wallig@microsoft.com>

Diff between iterators versions 1.0.12 dated 2019-07-26 and 1.0.13 dated 2020-10-15

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Package gganimate updated to version 1.0.7 with previous version 1.0.6 dated 2020-07-08

Title: A Grammar of Animated Graphics
Description: The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), David Robinson [aut], RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between gganimate versions 1.0.6 dated 2020-07-08 and 1.0.7 dated 2020-10-15

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Package foreach updated to version 1.5.1 with previous version 1.5.0 dated 2020-03-30

Title: Provides Foreach Looping Construct
Description: Support for the foreach looping construct. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. This package in particular is intended to be used for its return value, rather than for its side effects. In that sense, it is similar to the standard lapply function, but doesn't require the evaluation of a function. Using foreach without side effects also facilitates executing the loop in parallel.
Author: Michelle Wallig [cre], Microsoft [aut, cph], Steve Weston [aut]
Maintainer: Michelle Wallig <Michelle.Wallig@microsoft.com>

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Package AzureCognitive updated to version 1.0.1 with previous version 1.0.0 dated 2019-11-12

Title: Interface to Azure Cognitive Services
Description: An interface to Azure Cognitive Services <https://docs.microsoft.com/en-us/azure/cognitive-services/>. Both an 'Azure Resource Manager' interface, for deploying Cognitive Services resources, and a client framework are supplied. While 'AzureCognitive' can be called by the end-user, it is meant to provide a foundation for other packages that will support specific services, like Computer Vision, Custom Vision, language translation, and so on. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureCognitive versions 1.0.0 dated 2019-11-12 and 1.0.1 dated 2020-10-15

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