Thu, 11 Feb 2021

Package leastcostpath updated to version 1.8.0 with previous version 1.7.4 dated 2020-07-17

Title: Modelling Pathways and Movement Potential Within a Landscape (Version 1.8.0)
Description: Provides functionality to calculate cost surfaces based on slope (e.g. Herzog, 2010; Llobera and Sluckin, 2007 <doi:10.1016/j.jtbi.2007.07.020>; París Roche, 2002; Tobler, 1993), traversing slope (Bell and Lock, 2000), and landscape features (Llobera, 2000) to be used when modelling pathways and movement potential within a landscape (e.g. Llobera, 2015; Verhagen, 2013; White and Barber, 2012 <doi:10.1016/j.jas.2012.04.017>).
Author: Joseph Lewis [aut, cre]
Maintainer: Joseph Lewis <josephlewis1992@gmail.com>

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Package permimp updated to version 1.0-1 with previous version 1.0-0 dated 2020-06-25

Title: Conditional Permutation Importance
Description: An add-on to the 'party' package, with a faster implementation of the partial-conditional permutation importance for random forests. The standard permutation importance is implemented exactly the same as in the 'party' package. The conditional permutation importance can be computed faster, with an option to be backward compatible to the 'party' implementation. The package is compatible with random forests fit using the 'party' and the 'randomForest' package. The methods are described in Strobl et al. (2007) <doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020) <doi:10.1186/s12859-020-03622-2>.
Author: Dries Debeer [aut, cre], Torsten Hothorn [aut], Carolin Strobl [aut]
Maintainer: Dries Debeer <debeer.dries@gmail.com>

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Package forestError updated to version 1.0.0 with previous version 0.2.0 dated 2020-04-02

Title: A Unified Framework for Random Forest Prediction Error Estimation
Description: Estimates the conditional error distributions of random forest predictions and common parameters of those distributions, including conditional mean squared prediction errors, conditional biases, and conditional quantiles, by out-of-bag weighting of out-of-bag prediction errors as proposed by Lu and Hardin (2021). This package is compatible with several existing packages that implement random forests in R.
Author: Benjamin Lu and Johanna Hardin
Maintainer: Benjamin Lu <b.lu@berkeley.edu>

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Package ccmReportR updated to version 0.1.0 with previous version 0.0.3 dated 2021-01-26

Title: Wraps 'CCM' with Utility Functions
Description: Provides a set of functions to perform queries against the 'CCM' API <https://mohcontacttracing.my.salesforce.com>.
Author: James Lane [aut, cre]
Maintainer: James Lane <lanejames35@gmail.com>

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Package PriceIndices updated to version 0.0.2 with previous version 0.0.1 dated 2021-02-01

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: de Haan and Krsinich (2017) <doi:10.1111/roiw.12304> and Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>.
Author: Jacek Białek [aut, cre] (<https://orcid.org/0000-0002-0952-5327>)
Maintainer: Jacek Białek <jacek.bialek@uni.lodz.pl>

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Package T4cluster updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-23

Title: Tools for Cluster Analysis
Description: Cluster analysis is one of the most fundamental problems in data science. We provide a variety of algorithms from clustering to the learning on the space of partitions. See Hennig, Meila, and Rocci (2016, ISBN:9781466551886) for general exposition to cluster analysis.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>

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Package promises updated to version 1.2.0.1 with previous version 1.1.1 dated 2020-06-09

Title: Abstractions for Promise-Based Asynchronous Programming
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Author: Joe Cheng [aut, cre], RStudio [cph, fnd]
Maintainer: Joe Cheng <joe@rstudio.com>

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Package mcmcr updated to version 0.5.0 with previous version 0.4.0 dated 2020-09-27

Title: Manipulate MCMC Samples
Description: Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between mcmcr versions 0.4.0 dated 2020-09-27 and 0.5.0 dated 2021-02-11

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Package dotCall64 updated to version 1.0-1 with previous version 1.0-0 dated 2018-07-30

Title: Enhanced Foreign Function Interface Supporting Long Vectors
Description: Provides .C64(), which is an enhanced version of .C() and .Fortran() from the foreign function interface. .C64() supports long vectors, arguments of type 64-bit integer, and provides a mechanism to avoid unnecessary copies of read-only and write-only arguments. This makes it a convenient and fast interface to C/C++ and Fortran code.
Author: Kaspar Moesinger [aut], Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>), Reinhard Furrer [cre, ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between dotCall64 versions 1.0-0 dated 2018-07-30 and 1.0-1 dated 2021-02-11

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 4 files changed, 31 insertions(+), 18 deletions(-)

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Package wordpressr updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-04

Title: An API Wrapper for WordPress Site APIs
Description: An API wrapper that helps R developers retrieve data from a WordPress site's API in tidy format, in addition to publishing content on the WordPress site (WordPress API documentation: <https://developer.wordpress.org/rest-api/>).
Author: Simit Patel [aut, cre], SixJupiter [cph, fnd]
Maintainer: Simit Patel <simit@sixjupiter.com>

Diff between wordpressr versions 0.2.0 dated 2021-01-04 and 0.2.1 dated 2021-02-11

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New package wordpiece with initial version 1.0.2
Package: wordpiece
Type: Package
Title: R Implementation of Wordpiece Tokenization
Version: 1.0.2
Authors@R: c( person(given = "Jonathan", family = "Bratt", role = c("aut", "cre"), email = "jonathan.bratt@macmillan.com", comment = c(ORCID = "0000-0003-2859-0076")), person(given = "Jon", family = "Harmon", role = c("aut"), email = "jonthegeek@gmail.com", comment = c(ORCID = "0000-0003-4781-4346")), person(given = "Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning", role = c("cph")) )
Description: Apply 'Wordpiece' (<arXiv:1609.08144>) tokenization to input text, given an appropriate vocabulary. The 'BERT' (<arXiv:1810.04805>) tokenization conventions are used by default.
Encoding: UTF-8
LazyData: true
URL: https://github.com/jonathanbratt/wordpiece
BugReports: https://github.com/jonathanbratt/wordpiece/issues
Depends: R (>= 3.3.0)
License: Apache License (>= 2)
RoxygenNote: 7.1.1
Imports: digest (>= 0.6.5), purrr (>= 0.2.3), rappdirs (>= 0.3), stringi (>= 1.0)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-08 16:41:02 UTC; jonathan.bratt
Author: Jonathan Bratt [aut, cre] (<https://orcid.org/0000-0003-2859-0076>), Jon Harmon [aut] (<https://orcid.org/0000-0003-4781-4346>), Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]
Maintainer: Jonathan Bratt <jonathan.bratt@macmillan.com>
Repository: CRAN
Date/Publication: 2021-02-11 15:40:06 UTC

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New package ROCket with initial version 1.0.0
Package: ROCket
Type: Package
Title: Simple and Fast ROC Curves
Version: 1.0.0
Authors@R: person("Daniel", "Lazar", email = "da-zar@gmx.net", role = c("aut", "cre"))
Description: A set of functions for receiver operating characteristic (ROC) curve estimation and area under the curve (AUC) calculation. All functions are designed to work with aggregated data; nevertheless, they can also handle raw samples. In 'ROCket', we distinguish two types of ROC curve representations: 1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR) are functions of a parameter (the score), 2) functions - TPR is a function of FPR. There are several ROC curve estimation methods available. An introduction to the mathematical background of the implemented methods (and much more) can be found in de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) <https://www.ine.pt/revstat/pdf/rs140101.pdf> and Cai & Pepe (2004) <doi:10.1111/j.0006-341X.2004.00200.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/da-zar/ROCket
BugReports: https://github.com/da-zar/ROCket/issues
Imports: data.table (>= 1.13.0)
Suggests: testthat
RoxygenNote: 7.1.1
Collate: 'ROCket.R' 'generics.R' 'auc.R' 'rkt_ecdf.R' 'rkt_prep.R' 'rkt_roc.R' 'roc_methods.R' 'utils.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2021-02-08 12:01:59 UTC; dlazar
Author: Daniel Lazar [aut, cre]
Maintainer: Daniel Lazar <da-zar@gmx.net>
Repository: CRAN
Date/Publication: 2021-02-11 15:10:02 UTC

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New package osmextract with initial version 0.2.0
Package: osmextract
Type: Package
Title: Download and Read OpenStreetMap Data Extracts
Version: 0.2.0
Authors@R: c( person("Andrea", "Gilardi", email = "andrea.gilardi@unimib.it", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-9424-7439")), person("Robin", "Lovelace", role = c("aut"), comment = c(ORCID = "0000-0001-5679-6536")), person("Barry", "Rowlingson", role=c("ctb"), comment = c(ORCID = "0000-0002-8586-6625")), person("Salva", "Fernández", role = c("rev"), comment = c("Salva reviewed the package (v. 0.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>")), person("Nicholas", "Potter", role = c("rev"), comment = c("Nicholas reviewed the package (v. 0.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>")) )
Description: Find, download, convert and read Open Street Map data extracts obtained from several providers.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://docs.ropensci.org/osmextract/ (website) https://github.com/ropensci/osmextract
BugReports: https://github.com/ropensci/osmextract/issues
Depends: R (>= 3.5.0)
Imports: sf (>= 0.8.1), utils, tools
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
Language: en_GB
NeedsCompilation: no
Packaged: 2021-02-08 17:10:31 UTC; Utente
Author: Andrea Gilardi [aut, cre] (<https://orcid.org/0000-0002-9424-7439>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Barry Rowlingson [ctb] (<https://orcid.org/0000-0002-8586-6625>), Salva Fernández [rev] (Salva reviewed the package (v. 0.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] (Nicholas reviewed the package (v. 0.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>)
Maintainer: Andrea Gilardi <andrea.gilardi@unimib.it>
Repository: CRAN
Date/Publication: 2021-02-11 16:00:02 UTC

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Package optimParallel updated to version 1.0-2 with previous version 1.0-1 dated 2020-05-02

Title: Parallel Version of the L-BFGS-B Optimization Method
Description: Provides a parallel version of the L-BFGS-B method of optim(). The main function of the package is optimParallel(), which has the same usage and output as optim(). Using optimParallel() can significantly reduce the optimization time.
Author: Florian Gerber [aut, cre] (<https://orcid.org/0000-0001-8545-5263>)
Maintainer: Florian Gerber <flora.fauna.gerber@gmail.com>

Diff between optimParallel versions 1.0-1 dated 2020-05-02 and 1.0-2 dated 2021-02-11

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New package KFPCA with initial version 1.0
Package: KFPCA
Title: Kendall Functional Principal Component Analysis
Version: 1.0
Authors@R: person(given = "Rou", family = "Zhong", role = c("aut", "cre"), email = "zhong_rou@163.com")
Description: Implementation for Kendall functional principal component analysis. Kendall functional principal component analysis is a robust functional principal component analysis technique for non-Gaussian functional/longitudinal data. The crucial function of this package is KFPCA(). Moreover, least square estimates of functional principal component scores are also provided. Refer to <arXiv:2102.00911>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: kader, utils, pracma, fdapace, fda, stats, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-02-08 13:44:57 UTC; 11013
Author: Rou Zhong [aut, cre]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2021-02-11 15:30:05 UTC

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New package fastrmodels with initial version 1.0.0
Package: fastrmodels
Title: Models for the 'nflfastR' Package
Version: 1.0.0
Authors@R: c(person(given = "Sebastian", family = "Carl", role = c("cre", "aut"), email = "mrcaseb@gmail.com"), person(given = "Ben", family = "Baldwin", role = "aut", email = "bbaldwin206@gmail.com"))
Description: A data package that hosts all models for the 'nflfastR' package.
License: MIT + file LICENSE
URL: https://github.com/mrcaseb/fastrmodels
BugReports: https://github.com/mrcaseb/fastrmodels/issues
Depends: R (>= 3.5.0)
Suggests: xgboost (>= 1.1)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-10 19:28:34 UTC; S.Carl
Author: Sebastian Carl [cre, aut], Ben Baldwin [aut]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-11 15:20:03 UTC

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New package astrochron with initial version 1.0
Package: astrochron
Type: Package
Title: A Computational Tool for Astrochronology
Version: 1.0
Date: 2021-02-10
Author: Stephen Meyers [aut,cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Vincent Moron [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Imports: doParallel, fields, foreach, IDPmisc, iterators, multitaper, parallel
License: GPL-3
NeedsCompilation: yes
Packaged: 2021-02-11 01:48:39 UTC; smeyers
Repository: CRAN
Date/Publication: 2021-02-11 15:40:09 UTC

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New package archiDART with initial version 3.4
Package: archiDART
Type: Package
Title: Plant Root System Architecture Analysis Using DART and RSML Files
Version: 3.4
Date: 2021-02-07
Author: Benjamin M Delory, Caroline Baudson, Yves Brostaux, Guillaume Lobet, Patrick du Jardin, Loic Pages, Pierre Delaplace
Maintainer: Benjamin M Delory <Benjamin.Delory@leuphana.de>
Description: Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
License: GPL-2
Imports: stats, utils, graphics, gtools, grDevices, XML, geometry, sp
Suggests: rgl, TDA
Additional_repositories: https://archidart.github.io/drat/
URL: https://archidart.github.io/
BugReports: https://github.com/archiDART/archidart/issues
NeedsCompilation: no
Packaged: 2021-02-08 07:39:48 UTC; Delory
Repository: CRAN
Date/Publication: 2021-02-11 15:40:15 UTC

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New package airGRdatassim with initial version 0.1.3
Package: airGRdatassim
Type: Package
Title: Ensemble-Based Data Assimilation with GR Hydrological Models
Version: 0.1.3
Date: 2021-02-08
Authors@R: c( person("Gaia", "Piazzi", role = c("aut"), comment = c(ORCID = "0000-0002-4167-0794")), person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@inrae.fr"), person("Guillaume", "Thirel", role = c("ctb"), comment = c(ORCID = "0000-0002-1444-1830")), person("Maxime", "Logez", role = c("ctb"), comment = c(ORCID = "0000-0001-9843-0495")) )
Depends: airGR (>= 1.6.9.27)
Imports: graphics, grDevices, stats, utils
Suggests: knitr, rmarkdown
Description: Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological models. The package consists in two functions allowing to perform the assimilation of observed discharges via the Ensemble Kalman filter or the Particle filter as described in Piazzi et al. (2021) <doi:10.1029/2020WR028390>.
License: GPL-2
BugReports: https://gitlab.irstea.fr/HYCAR-Hydro/airgrdatassim/-/issues
NeedsCompilation: no
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2021-02-08 13:20:56 UTC; irstea
Author: Gaia Piazzi [aut] (<https://orcid.org/0000-0002-4167-0794>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [ctb] (<https://orcid.org/0000-0002-1444-1830>), Maxime Logez [ctb] (<https://orcid.org/0000-0001-9843-0495>)
Maintainer: Olivier Delaigue <airGR@inrae.fr>
Repository: CRAN
Date/Publication: 2021-02-11 15:30:02 UTC

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Package Tplyr updated to version 0.4.0 with previous version 0.3.1 dated 2021-01-08

Title: A Grammar of Clinical Data Summary
Description: A tool created to simplify the data manipulation necessary to create clinical reports.
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Mike Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Ashley Tarasiewicz [aut], Nathan Kosiba [aut] (<https://orcid.org/0000-0001-5359-4234>), Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

Diff between Tplyr versions 0.3.1 dated 2021-01-08 and 0.4.0 dated 2021-02-11

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Package shinyloadtest updated to version 1.1.0 with previous version 1.0.1 dated 2020-01-09

Title: Load Test Shiny Applications
Description: Assesses the number of concurrent users 'shiny' applications are capable of supporting, and for directing application changes in order to support a higher number of users. Provides facilities for recording 'shiny' application sessions, playing recorded sessions against a target server at load, and analyzing the resulting metrics.
Author: Barret Schloerke [aut, cre] (<https://orcid.org/0000-0001-9986-114X>), Alan Dipert [aut], Barbara Borges [aut], RStudio [cph, fnd]
Maintainer: Barret Schloerke <barret@rstudio.com>

Diff between shinyloadtest versions 1.0.1 dated 2020-01-09 and 1.1.0 dated 2021-02-11

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Package popkin updated to version 1.3.8 with previous version 1.3.7 dated 2021-02-09

Title: Estimate Kinship and FST under Arbitrary Population Structure
Description: Provides functions to estimate the kinship matrix of individuals from a large set of biallelic SNPs, and extract inbreeding coefficients and the generalized FST (Wright's fixation index). Method described in Ochoa and Storey (2021) <doi:10.1371/journal.pgen.1009241>.
Author: Alejandro Ochoa [aut, cre] (<https://orcid.org/0000-0003-4928-3403>), John D. Storey [aut] (<https://orcid.org/0000-0001-5992-402X>)
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

Diff between popkin versions 1.3.7 dated 2021-02-09 and 1.3.8 dated 2021-02-11

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New package pmclust with initial version 0.2-1
Package: pmclust
Version: 0.2-1
Date: 2021-02-08
Title: Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model
Authors@R: c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email = "wccsnow@gmail.com"), person("George", "Ostrouchov", role = "aut"))
Depends: R (>= 3.0.0), pbdMPI (>= 0.4-2)
Imports: methods, MASS
Enhances: MixSim
LazyLoad: yes
LazyData: yes
Description: Aims to utilize model-based clustering (unsupervised) for high dimensional and ultra large data, especially in a distributed manner. The code employs 'pbdMPI' to perform a expectation-gathering-maximization algorithm for finite mixture Gaussian models. The unstructured dispersion matrices are assumed in the Gaussian models. The implementation is default in the single program multiple data programming model. The code can be executed through 'pbdMPI' and MPI' implementations such as 'OpenMPI' and 'MPICH'. See the High Performance Statistical Computing website <https://snoweye.github.io/hpsc/> for more information, documents and examples.
License: GPL (>= 2)
URL: https://pbdr.org/
BugReports: https://github.com/snoweye/pmclust/issues
MailingList: Please send questions and comments to wccsnow@gmail.com
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Packaged: 2021-02-10 03:12:30 UTC; snoweye
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut]
Repository: CRAN
Date/Publication: 2021-02-11 14:50:06 UTC

More information about pmclust at CRAN
Permanent link

New package ParBayesianOptimization with initial version 1.2.4
Package: ParBayesianOptimization
Title: Parallel Bayesian Optimization of Hyperparameters
Version: 1.2.4
Authors@R: person("Samuel", "Wilson", email = "samwilson303@gmail.com", role = c("aut", "cre"))
Description: Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
URL: https://github.com/AnotherSamWilson/ParBayesianOptimization
BugReports: https://github.com/AnotherSamWilson/ParBayesianOptimization/issues
Depends: R (>= 3.4)
Imports: data.table (>= 1.11.8), DiceKriging, stats, foreach, dbscan, lhs, crayon, ggplot2, ggpubr (>= 0.2.4)
Suggests: knitr, rmarkdown, xgboost, doParallel, testthat
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Maintainer: Samuel Wilson <samwilson303@gmail.com>
NeedsCompilation: no
Packaged: 2021-02-09 17:36:05 UTC; swilson
Author: Samuel Wilson [aut, cre]
Repository: CRAN
Date/Publication: 2021-02-11 15:00:07 UTC

More information about ParBayesianOptimization at CRAN
Permanent link

New package DiversificationR with initial version 0.1.0
Package: DiversificationR
Type: Package
Title: Econometric Tools to Measure Portfolio Diversification
Version: 0.1.0
Authors@R: person("Jean-Baptiste", "Hasse", email = "jb-hasse@hotmail.fr", role = c("cre","aut"))
Author: Jean-Baptiste Hasse [cre, aut]
Maintainer: Jean-Baptiste Hasse <jb-hasse@hotmail.fr>
Description: Diversification is one of the most important concepts in portfolio management. This framework offers scholars, practitioners and policymakers a useful toolbox to measure diversification. Specifically, this framework provides recent diversification measures from the recent literature. These diversification measures are based on the works of Rudin and Morgan (2006) <doi:10.3905/jpm.2006.611807>, Choueifaty and Coignard (2008) <doi:10.3905/JPM.2008.35.1.40>, Vermorken et al. (2012) <doi:10.3905/jpm.2012.39.1.067>, Flores et al. (2017) <doi:10.3905/jpm.2017.43.4.112>, Calvet et al. (2007) <doi:10.1086/524204>, and Candelon, Fuerst and Hasse (2020).
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats
NeedsCompilation: no
Packaged: 2021-02-08 09:56:22 UTC; jb-ha
Repository: CRAN
Date/Publication: 2021-02-11 14:50:09 UTC

More information about DiversificationR at CRAN
Permanent link

Package BIGDAWG updated to version 2.3.6 with previous version 2.3.1 dated 2020-10-08

Title: Case-Control Analysis of Multi-Allelic Loci
Description: Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas DJ, Marin W, Hollenbach JA, Mack SJ (2016) <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.
Author: Derek Pappas <djpappas75@gmail.com>, Steve Mack <Steven.Mack@ucsf.edu>, Jill Hollenbach <Jill.Hollenbach@ucsf.edu>
Maintainer: Steve Mack <Steven.Mack@ucsf.edu>

Diff between BIGDAWG versions 2.3.1 dated 2020-10-08 and 2.3.6 dated 2021-02-11

 BIGDAWG-2.3.1/BIGDAWG/data                         |only
 BIGDAWG-2.3.6/BIGDAWG/DESCRIPTION                  |   18 
 BIGDAWG-2.3.6/BIGDAWG/MD5                          |  215 ++--
 BIGDAWG-2.3.6/BIGDAWG/NAMESPACE                    |   94 -
 BIGDAWG-2.3.6/BIGDAWG/NEWS                         |  444 ++++-----
 BIGDAWG-2.3.6/BIGDAWG/R/A.R                        |  360 +++----
 BIGDAWG-2.3.6/BIGDAWG/R/A_ExonPtnAlign_functions.R |  542 +++++-----
 BIGDAWG-2.3.6/BIGDAWG/R/A_support_functions.R      |  367 +++----
 BIGDAWG-2.3.6/BIGDAWG/R/A_wrapper.R                |  169 +--
 BIGDAWG-2.3.6/BIGDAWG/R/BIGDAWG.R                  | 1035 ++++++++++-----------
 BIGDAWG-2.3.6/BIGDAWG/R/DRB_Parser.R               |  366 +++----
 BIGDAWG-2.3.6/BIGDAWG/R/ErrLog.R                   |  130 +-
 BIGDAWG-2.3.6/BIGDAWG/R/GL2TAB.R                   |  299 +++---
 BIGDAWG-2.3.6/BIGDAWG/R/GLSconvert.R               |  126 +-
 BIGDAWG-2.3.6/BIGDAWG/R/HWE.R                      |   49 
 BIGDAWG-2.3.6/BIGDAWG/R/HWE_support_functions.R    |  425 ++++----
 BIGDAWG-2.3.6/BIGDAWG/R/HWE_wrapper.R              |   64 -
 BIGDAWG-2.3.6/BIGDAWG/R/H_MC.R                     |  212 ++--
 BIGDAWG-2.3.6/BIGDAWG/R/H_support_functions.R      |  121 +-
 BIGDAWG-2.3.6/BIGDAWG/R/H_wrapper_MC.R             |  323 +++---
 BIGDAWG-2.3.6/BIGDAWG/R/L.R                        |  308 +++---
 BIGDAWG-2.3.6/BIGDAWG/R/L_wrapper.R                |  131 +-
 BIGDAWG-2.3.6/BIGDAWG/R/TAB2GL.R                   |  295 ++---
 BIGDAWG-2.3.6/BIGDAWG/R/check_functions.R          |  941 +++++++++----------
 BIGDAWG-2.3.6/BIGDAWG/R/general_functions.R        |  746 +++++++--------
 BIGDAWG-2.3.6/BIGDAWG/R/stat_functions.R           |  804 ++++++++++------
 BIGDAWG-2.3.6/BIGDAWG/R/sysdata.rda                |binary
 BIGDAWG-2.3.6/BIGDAWG/R/update_wrapper.R           |  237 ++--
 BIGDAWG-2.3.6/BIGDAWG/build/vignette.rds           |binary
 BIGDAWG-2.3.6/BIGDAWG/inst/doc/BIGDAWG.Rmd         |  563 +++++------
 BIGDAWG-2.3.6/BIGDAWG/inst/doc/BIGDAWG.html        |  868 ++++++-----------
 BIGDAWG-2.3.6/BIGDAWG/inst/doc/GLSconvert.Rmd      |  274 ++---
 BIGDAWG-2.3.6/BIGDAWG/inst/doc/GLSconvert.html     |  599 +++---------
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 BIGDAWG-2.3.6/BIGDAWG/man/AlignObj.Create.Rd       |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/AlignObj.Update.Rd       |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/AlignmentFilter.Rd       |   42 
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 BIGDAWG-2.3.6/BIGDAWG/man/Check.Params.Rd          |   98 -
 BIGDAWG-2.3.6/BIGDAWG/man/CheckAlleles.Rd          |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/CheckHLA.Rd              |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/CheckLoci.Rd             |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/CheckRelease.Rd          |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/CheckString.Allele.Rd    |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/CheckString.Locus.Rd     |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/Create.Null.Table.Rd     |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/DRB345.Check.Wrapper.Rd  |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/DRB345.Check.Zygosity.Rd |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/DRB345.Exp.Rd            |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/DRB345.parser.Rd         |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/EVSremoval.Rd            |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/Err.Log.Rd               |   46 
 BIGDAWG-2.3.6/BIGDAWG/man/ExonPtnAlign.Create.Rd   |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/ExonPtnList.Rd           |   32 
 BIGDAWG-2.3.6/BIGDAWG/man/Filler.Rd                |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/Format.Allele.Rd         |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/Format.Tab.Rd            |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/GL2Tab.Loci.Rd           |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/GL2Tab.Sub.Rd            |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/GL2Tab.wrapper.Rd        |   50 -
 BIGDAWG-2.3.6/BIGDAWG/man/GLSconvert.Rd            |   80 -
 BIGDAWG-2.3.6/BIGDAWG/man/GetField.Rd              |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/GetFiles.Rd              |   34 
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 BIGDAWG-2.3.6/BIGDAWG/man/HLA_data.Rd              |   32 
 BIGDAWG-2.3.6/BIGDAWG/man/HWE.ChiSq.Rd             |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/HWE.Rd                   |    4 
 BIGDAWG-2.3.6/BIGDAWG/man/HWE.wrapper.Rd           |   44 
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 BIGDAWG-2.3.6/BIGDAWG/man/PgrpExtract.Rd           |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/PgrpFormat.Rd            |   38 
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 BIGDAWG-2.3.6/BIGDAWG/man/Stripper.Rd              |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/Tab2GL.Loci.Rd           |   46 
 BIGDAWG-2.3.6/BIGDAWG/man/Tab2GL.Sub.Rd            |   42 
 BIGDAWG-2.3.6/BIGDAWG/man/Tab2GL.wrapper.Rd        |   50 -
 BIGDAWG-2.3.6/BIGDAWG/man/TableMaker.Rd            |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/UpdateRelease.Rd         |   36 
 BIGDAWG-2.3.6/BIGDAWG/man/buildHAPnames.Rd         |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/buildHAPsets.Rd          |   46 
 BIGDAWG-2.3.6/BIGDAWG/man/cci.Rd                   |  128 +-
 BIGDAWG-2.3.6/BIGDAWG/man/cci.pval.Rd              |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/cci.pval.list.Rd         |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/getAllele.Count.Rd       |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/getCS.Mat.Rd             |   46 
 BIGDAWG-2.3.6/BIGDAWG/man/getCS.stat.Rd            |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/getFileName.Rd           |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/getHap.Rd                |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/getObsFreq.Rd            |   38 
 BIGDAWG-2.3.6/BIGDAWG/man/make2x2.Rd               |   46 
 BIGDAWG-2.3.6/BIGDAWG/man/makeComb.Rd              |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/prepData.Rd              |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/rmABstrings.Rd           |   34 
 BIGDAWG-2.3.6/BIGDAWG/man/summaryGeno.2.Rd         |   38 
 BIGDAWG-2.3.6/BIGDAWG/vignettes/BIGDAWG.Rmd        |  563 +++++------
 BIGDAWG-2.3.6/BIGDAWG/vignettes/GLSconvert.Rmd     |  274 ++---
 109 files changed, 7500 insertions(+), 7767 deletions(-)

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New package baRulho with initial version 1.0.3
Package: baRulho
Type: Package
Title: Quantifying Habitat-Induced Acoustic Signal Degradation
Version: 1.0.3
Date: 2021-02-09
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>
Description: Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
License: GPL (>= 2)
Imports: pbapply, utils, stats, seewave, tuneR, fftw
Depends: R (>= 3.2.1), warbleR (>= 1.1.20)
LazyData: TRUE
URL: https://github.com/maRce10/baRulho
BugReports: https://github.com/maRce10/baRulho/issues
NeedsCompilation: no
Suggests: ggplot2, knitr, kableExtra, viridis, png, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Repository: CRAN
Language: en-US
Authors@R: person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marcelo.araya@ucr.ac.cr")
Packaged: 2021-02-10 23:21:31 UTC; m
Date/Publication: 2021-02-11 15:00:02 UTC

More information about baRulho at CRAN
Permanent link

Package waldo updated to version 0.2.4 with previous version 0.2.3 dated 2020-11-09

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>

Diff between waldo versions 0.2.3 dated 2020-11-09 and 0.2.4 dated 2021-02-11

 DESCRIPTION                             |   11 ++++---
 MD5                                     |   31 +++++++++++-----------
 NEWS.md                                 |   15 ++++++++++
 R/compare-opts.R                        |    9 ++++--
 R/compare-value.R                       |   21 +++++++++-----
 R/compare.R                             |   10 ++++---
 R/utils.R                               |   45 +++++++++-----------------------
 man/figures/README/unnamed-chunk-10.svg |    2 -
 tests/testthat/_snaps/compare-opts.md   |only
 tests/testthat/test-compare-fun.txt     |    2 -
 tests/testthat/test-compare-lang.txt    |    3 +-
 tests/testthat/test-compare-opts.R      |    9 ++----
 tests/testthat/test-compare-r6.txt      |    2 -
 tests/testthat/test-compare-s3.txt      |   13 ++++-----
 tests/testthat/test-compare-s4.txt      |    2 -
 tests/testthat/test-compare-value.R     |   16 +++++++++++
 tests/testthat/test-compare.R           |    5 +++
 17 files changed, 114 insertions(+), 82 deletions(-)

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Package liver updated to version 1.4 with previous version 1.3 dated 2020-11-13

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between liver versions 1.3 dated 2020-11-13 and 1.4 dated 2021-02-11

 liver-1.3/liver/data/classifyRisk.RData |only
 liver-1.3/liver/man/classifyRisk.Rd     |only
 liver-1.4/liver/DESCRIPTION             |    6 +-
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 liver-1.4/liver/NEWS.md                 |   11 +++-
 liver-1.4/liver/data/adult.RData        |binary
 liver-1.4/liver/data/churn.RData        |binary
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 liver-1.4/liver/man/churnTel.Rd         |   86 ++++++++++++++++++++------------
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 24 files changed, 112 insertions(+), 80 deletions(-)

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Package DIZutils updated to version 0.0.7 with previous version 0.0.6 dated 2020-11-17

Title: Utilities for 'DIZ' R Package Development
Description: Utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Author: Jonathan M. Mang [aut, cre] (<https://orcid.org/0000-0003-0518-4710>), Lorenz A. Kapsner [aut] (<https://orcid.org/0000-0003-1866-860X>), MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitätsklinikum Erlangen [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between DIZutils versions 0.0.6 dated 2020-11-17 and 0.0.7 dated 2021-02-11

 DESCRIPTION                          |   12 
 MD5                                  |   78 +++---
 NAMESPACE                            |   35 +-
 NEWS.md                              |  110 ++++++--
 R/clean_path_name.R                  |   60 +++-
 R/clear.R                            |only
 R/close_all_connections.R            |   48 ++-
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 R/feedback.R                         |   83 +++++-
 R/firstup.R                          |   44 ++-
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 R/get_current_timestamp.R            |only
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 man/feedback_get_formatted_string.Rd |   80 +++---
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 man/feedback_to_logfile.Rd           |   78 +++---
 man/feedback_to_logjs.Rd             |   52 ++--
 man/feedback_to_ui.Rd                |   58 ++--
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 man/grapes-notin-grapes.Rd           |   48 +--
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 man/set_env_vars.Rd                  |   52 ++--
 man/setdiff_all.Rd                   |only
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 47 files changed, 1625 insertions(+), 1183 deletions(-)

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New package td with initial version 0.0.1
Package: td
Type: Package
Title: Access to the 'twelvedata' Financial Data API
Version: 0.0.1
Date: 2021-02-06
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: The 'twelvedata' REST service offers access to current and historical data on stocks, standard as well as digital 'crypto' currencies, and other financial assets covering a wide variety of course and time spans. See <https://twelvedata.com/> for details, to create an account, and to request an API key for free-but-capped access to the data.
License: GPL (>= 2)
Imports: RcppSimdJson
Suggests: tinytest, xts
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2021-02-07 18:52:40 UTC; edd
Repository: CRAN
Date/Publication: 2021-02-11 10:20:02 UTC

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New package MLpreemption with initial version 1.0.1
Package: MLpreemption
Type: Package
Title: Maximum Likelihood Estimation of the Niche Preemption Model
Version: 1.0.1
Date: 2021-02-07
Authors@R: person("Jan", "Graffelman", role = c("aut", "cre"), email = "jan.graffelman@upc.edu")
Author: Jan Graffelman [aut, cre]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 1.8.0)
Description: Provides functions for obtaining estimates of the parameter of the niche preemption model (also known as the geometric series), in particular a maximum likelihood estimator (Graffelman, 2021) <doi:10.1101/2021.01.27.428381>. The niche preemption model is a widely used model in ecology and biodiversity studies.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www-eio.upc.edu/~jan/
Packaged: 2021-02-07 18:23:36 UTC; jangr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2021-02-11 10:10:03 UTC

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New package fipp with initial version 1.0.0
Package: fipp
Title: Induced Priors in Bayesian Mixture Models
Version: 1.0.0
Authors@R: c(person(given = "Jan", family = "Greve", role = c("aut", "cre"), email = "jan.greve@wu.ac.at"), person(given = "Bettina", family = "Grün", role = "ctb", comment = c(ORCID = "0000-0001-7265-4773")), person(given = "Gertraud", family = "Malsiner-Walli", role = "ctb", comment = c(ORCID = "0000-0002-1213-4749")), person(given = "Sylvia", family = "Frühwirth-Schnatter", role = "ctb", comment = c(ORCID = "0000-0003-0516-5552")))
Description: Computes implicitly induced quantities from prior/hyperparameter specifications of three Mixtures of Finite Mixtures models: Dirichlet Process Mixtures (DPMs; Escobar and West (1995) <doi:10.1080/01621459.1995.10476550>), Static Mixtures of Finite Mixtures (Static MFMs; Miller and Harrison (2018) <doi:10.1080/01621459.2016.1255636>), and Dynamic Mixtures of Finite Mixtures (Dynamic MFMs; Frühwirth-Schnatter, Malsiner-Walli and Grün (2020) <arXiv:2005.09918>). For methodological details, please refer to Greve, Grün, Malsiner-Walli and Frühwirth-Schnatter (2020) <arXiv:2012.12337>) as well as the package vignette.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats, matrixStats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-02-07 20:49:26 UTC; jan
Author: Jan Greve [aut, cre], Bettina Grün [ctb] (<https://orcid.org/0000-0001-7265-4773>), Gertraud Malsiner-Walli [ctb] (<https://orcid.org/0000-0002-1213-4749>), Sylvia Frühwirth-Schnatter [ctb] (<https://orcid.org/0000-0003-0516-5552>)
Maintainer: Jan Greve <jan.greve@wu.ac.at>
Repository: CRAN
Date/Publication: 2021-02-11 10:30:02 UTC

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New package simpleMLP with initial version 0.2.0
Package: simpleMLP
Title: Simple Multilayer Perceptron Neural Network
Version: 0.2.0
Authors@R: person(given = "Cullen", family = "Pu", role = c("aut", "cre"), email = "cullenpu@gmail.com")
Description: Create, and train a multilayer perceptron, a type of feedforward, fully connected neural network. Features 2 ReLU hidden layers. Learn more about about the activation functions and backpropagation used by this network in Goodfellow et al. (2016, ISBN: 9780262035613) "Deep Learning".
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, readr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-02-07 05:40:51 UTC; jovyan
Author: Cullen Pu [aut, cre]
Maintainer: Cullen Pu <cullenpu@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-11 09:40:02 UTC

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New package QDiabetes with initial version 1.0-2
Package: QDiabetes
Version: 1.0-2
Date: 2021-02-07
Title: Type 2 Diabetes Risk Calculator
Authors@R: c( person(c("Benjamin", "G."), "Feakins", role = c("aut", "cre"), email = "benjamin.feakins@ndph.ox.ac.uk", comment = c(ORCID = "0000-0002-3928-6750")), person(c("Sarah", "L."), "Lay-Flurrie", role = "ctb", email = "sarah.lay-flurrie@phc.ox.ac.uk", comment = c(ORCID = "0000-0003-1094-8455")), person(c("Richard", "J."), "Stevens", role = "ctb", email = "richard.stevens@phc.ox.ac.uk", comment = c(ORCID = "0000-0002-9258-4060")), person("Trish", "Greenhalgh", role = "ctb", email = "trish.greenhalgh@phc.ox.ac.uk", comment = c(ORCID = "0000-0003-2369-8088")), person(c("Tim", "A."), "Holt", role = "ctb", email = "tim.holt@phc.ox.ac.uk", comment = c(ORCID = "0000-0002-1214-1682")), person("Evangelos", "Kontopantelis", role = "ctb", email = "e.kontopantelis@manchester.ac.uk", comment = c(ORCID = "0000-0001-6450-5815")), person(c("Dianna", "M."), "Smith", role = "ctb", email = "d.m.smith@soton.ac.uk", comment = c(ORCID = "0000-0002-0650-6606")), person(c("Bernard", "C."), "Gudgin", role = "ctb"), person(c("Benjamin", "J."), "Cairns", role = c("csl", "sad"), email = "ben.cairns@ndph.ox.ac.uk", comment = c(ORCID = "0000-0001-7994-8213")), person("National Institute for Health Research School for Primary Care Research", role = "fnd"), person("University of Oxford", role = c("cph", "sht")))
Description: Calculate the risk of developing type 2 diabetes using risk prediction algorithms derived by 'ClinRisk'.
Depends: R (>= 2.10)
Imports: stats
Suggests: graphics, tinytest, utils
License: AGPL-3 + file LICENSE
Copyright: University of Oxford + file inst/COPYRIGHTS
URL: https://github.com/Feakster/qdiabetes
BugReports: https://github.com/Feakster/qdiabetes/issues
LazyLoad: true
LazyData: true
NeedsCompilation: no
Packaged: 2021-02-07 12:17:00 UTC; benjamin
Author: Benjamin G. Feakins [aut, cre] (<https://orcid.org/0000-0002-3928-6750>), Sarah L. Lay-Flurrie [ctb] (<https://orcid.org/0000-0003-1094-8455>), Richard J. Stevens [ctb] (<https://orcid.org/0000-0002-9258-4060>), Trish Greenhalgh [ctb] (<https://orcid.org/0000-0003-2369-8088>), Tim A. Holt [ctb] (<https://orcid.org/0000-0002-1214-1682>), Evangelos Kontopantelis [ctb] (<https://orcid.org/0000-0001-6450-5815>), Dianna M. Smith [ctb] (<https://orcid.org/0000-0002-0650-6606>), Bernard C. Gudgin [ctb], Benjamin J. Cairns [csl, sad] (<https://orcid.org/0000-0001-7994-8213>), National Institute for Health Research School for Primary Care Research [fnd], University of Oxford [cph, sht]
Maintainer: Benjamin G. Feakins <benjamin.feakins@ndph.ox.ac.uk>
Repository: CRAN
Date/Publication: 2021-02-11 09:50:06 UTC

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New package mojson with initial version 0.1
Package: mojson
Title: A Serialization-Style Flattening and Description for JSON
Version: 0.1
Author: Bo Wei <ckris@163.com>
Maintainer: Bo Wei <ckris@163.com>
Description: Support JSON flattening in a long data frame way, where the nesting keys will be stored in the absolute path. It also provides an easy way to summarize the basic description of a JSON list. The idea of 'mojson' is to transform a JSON object in an absolute serialization way, which means the early key-value pairs will appear in the heading rows of the resultant data frame. 'mojson' also provides an alternative way of comparing two different JSON lists, returning the left/inner/right-join style results.
License: MIT + file LICENSE
URL: https://github.com/chriswweibo/mojson
BugReports: https://github.com/chriswweibo/mojson/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: RJSONIO, magrittr, tidyr, iterators, stringr, compareDF
NeedsCompilation: no
Packaged: 2021-02-07 03:39:53 UTC; xiaoqiang
Repository: CRAN
Date/Publication: 2021-02-11 09:30:02 UTC

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Package LipidMS updated to version 2.1.0 with previous version 2.0.0 dated 2021-01-19

Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted liquid chromatography mass spectrometry lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer, J Carlos Garcia-Canaveras
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

Diff between LipidMS versions 2.0.0 dated 2021-01-19 and 2.1.0 dated 2021-02-11

 LipidMS-2.0.0/LipidMS/inst/doc/vignette.R            |only
 LipidMS-2.0.0/LipidMS/inst/doc/vignette.Rmd          |only
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 LipidMS-2.0.0/LipidMS/vignettes/vignette.Rmd         |only
 LipidMS-2.1.0/LipidMS/DESCRIPTION                    |    8 
 LipidMS-2.1.0/LipidMS/MD5                            |   38 -
 LipidMS-2.1.0/LipidMS/R/additionalFunctions.R        |  101 ++--
 LipidMS-2.1.0/LipidMS/R/dataProcessing.R             |    4 
 LipidMS-2.1.0/LipidMS/R/idFunctionsNeg.R             |  455 +++++++++----------
 LipidMS-2.1.0/LipidMS/R/idFunctionsPos.R             |  401 ++++++++--------
 LipidMS-2.1.0/LipidMS/R/internalProcessing.R         |   26 -
 LipidMS-2.1.0/LipidMS/R/internaldbs.R                |    2 
 LipidMS-2.1.0/LipidMS/R/subfunctionsIdentification.R |  135 +++--
 LipidMS-2.1.0/LipidMS/README.md                      |only
 LipidMS-2.1.0/LipidMS/build/vignette.rds             |binary
 LipidMS-2.1.0/LipidMS/inst/LipidMSapp/server.R       |   34 +
 LipidMS-2.1.0/LipidMS/inst/LipidMSapp/ui.R           |   45 +
 LipidMS-2.1.0/LipidMS/inst/doc/Vignette.R            |only
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 LipidMS-2.1.0/LipidMS/man/crossTables.Rd             |   10 
 LipidMS-2.1.0/LipidMS/man/idPOS.Rd                   |    2 
 LipidMS-2.1.0/LipidMS/man/organizeResults.Rd         |    7 
 LipidMS-2.1.0/LipidMS/vignettes/Vignette.Rmd         |only
 25 files changed, 686 insertions(+), 582 deletions(-)

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New package matrixprofiler with initial version 0.1.1
Type: Package
Package: matrixprofiler
Title: Matrix Profile for R
Version: 0.1.1
Authors@R: c(person(given = "Francisco", family = "Bischoff", role = c("aut", "cre"), email = "fbischoff@med.up.pt", comment = c(ORCID = "https://orcid.org/0000-0002-5301-8672")), person(given = "Michael", family = "Yeh", role = c("res", "ccp", "ctb"), email = "myeh003@ucr.edu", comment = c(ORCID = "https://orcid.org/0000-0002-9807-2963")), person(given = "Diego", family = "Silva", role = c("res", "ccp", "ctb"), email = "diegofs@ufscar.br", comment = c(ORCID = "https://orcid.org/0000-0002-5184-9413")), person(given = "Yan", family = "Zhu", role = c("res", "ccp", "ctb"), email = "yzhu015@ucr.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5952-2108")), person(given = "Hoang", family = "Dau", role = c("res", "ccp", "ctb"), email = "hdau001@ucr.edu", comment = c(ORCID = "https://orcid.org/0000-0003-2439-5185")), person(given = "Michele", family = "Linardi", role = c("res", "ccp", "ctb"), email = "michele.linardi@orange.fr", comment = c(ORCID = "https://orcid.org/0000-0002-3249-2068")))
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>
Description: This is the core functions needed by the 'tsmp' package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
License: GPL-3
URL: https://github.com/matrix-profile-foundation/matrixprofiler
BugReports: https://github.com/matrix-profile-foundation/matrixprofiler/issues
Depends: R (>= 3.6)
Imports: checkmate (>= 2.0.0), Rcpp (>= 1.0.3), RcppParallel (>= 4.4.4)
Suggests: testthat (>= 3.0.0), debugme (>= 1.0.0), spelling (>= 2.0.0)
LinkingTo: Rcpp (>= 1.0.3), RcppParallel (>= 4.4.4), RcppProgress (>= 0.4.0), RcppThread (>= 0.5.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.1
SystemRequirements: GNU make
Config/testthat/edition: 3
Config/testthat/parallel: true
Packaged: 2021-02-06 19:24:05 UTC; Franz
Author: Francisco Bischoff [aut, cre] (<https://orcid.org/0000-0002-5301-8672>), Michael Yeh [res, ccp, ctb] (<https://orcid.org/0000-0002-9807-2963>), Diego Silva [res, ccp, ctb] (<https://orcid.org/0000-0002-5184-9413>), Yan Zhu [res, ccp, ctb] (<https://orcid.org/0000-0002-5952-2108>), Hoang Dau [res, ccp, ctb] (<https://orcid.org/0000-0003-2439-5185>), Michele Linardi [res, ccp, ctb] (<https://orcid.org/0000-0002-3249-2068>)
Repository: CRAN
Date/Publication: 2021-02-11 09:20:02 UTC

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New package likelihoodR with initial version 1.0.3
Package: likelihoodR
Title: Likelihood Analyses for Common Statistical Tests
Version: 1.0.3
Authors@R: person(given = "Peter", family = "Cahusac", role = c("aut", "cre"), email = "peteqsac@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0003-4976-2834"))
Description: A collection of functions that calculate the log likelihood (support) for a range of statistical tests. Where possible the likelihood function and likelihood interval for the observed data are displayed. The evidential approach used here is based on the book "Likelihood" by A.W.F. Edwards (1992, ISBN-13 : 978-0801844430), "Statistical Evidence" by R. Royall (1997, ISBN-13 : 978-0412044113), S.N. Goodman & R. Royall (2011) <doi:10.2105/AJPH.78.12.1568>, "Understanding Psychology as a Science" by Z. Dienes (2008, ISBN-13 : 978-0230542310), S. Glover & P. Dixon <https://link.springer.com/article/10.3758/BF03196706> and others. This package accompanies "Evidence-Based Statistics" by P. Cahusac (2020, ISBN-13 : 978-1119549802).
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-07 11:17:49 UTC; pcahusac
Author: Peter Cahusac [aut, cre] (<https://orcid.org/0000-0003-4976-2834>)
Maintainer: Peter Cahusac <peteqsac@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-11 09:50:02 UTC

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New package HeteroGGM with initial version 0.1.0
Package: HeteroGGM
Type: Package
Title: Gaussian Graphical Model-Based Heterogeneity Analysis
Version: 0.1.0
Date: 2021-2-6
Authors@R: c(person("Mingyang", "Ren", role=c("aut", "cre"), email = "renmingyang17@mails.ucas.ac.cn"), person("Sanguo", "Zhang", role=c("aut")), person("Qingzhao", "Zhang", role=c("aut")), person("Shuangge", "Ma", role=c("aut")))
Description: The goal of this package is to user-friendly realizing Gaussian graphical model-based heterogeneity analysis. Recently, several Gaussian graphical model-based heterogeneity analysis techniques have been developed. A common methodological limitation is that the number of subgroups is assumed to be known a priori, which is not realistic. In a very recent study (Ren et al., 2021), a novel approach based on the penalized fusion technique is developed to fully data-dependently determine the number and structure of subgroups in Gaussian graphical model-based heterogeneity analysis. It opens the door for utilizing the Gaussian graphical model technique in more practical settings. Beyond Ren et al. (2021), more estimations and functions are added, so that the package is self-contained and more comprehensive and can provide "more direct" insights to practitioners (with the visualization function). Reference: Ren, M., Zhang S., Zhang Q. and Ma S. (2021). Gaussian Graphical Model-based Heterogeneity Analysis via Penalized Fusion. Biometrics, <doi:10.1111/biom.13426>.
License: GPL-3
Encoding: UTF-8
Imports: igraph, Matrix, MASS
LazyData: true
LazyLoad: yes
RoxygenNote: 7.1.1
Depends: R (>= 3.4)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-02-07 00:17:54 UTC; Mingyang Ren
Author: Mingyang Ren [aut, cre], Sanguo Zhang [aut], Qingzhao Zhang [aut], Shuangge Ma [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2021-02-11 09:30:05 UTC

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New package ggh4x with initial version 0.1.2.1
Package: ggh4x
Title: Hacks for 'ggplot2'
Version: 0.1.2.1
Authors@R: person(given = "Teun", family = "van den Brand", role = c("aut", "cre"), email = "tahvdbrand@gmail.com", comment = c(ORCID = "0000-0002-9335-7468"))
Description: A 'ggplot2' extension that does a variety of little helpful things. The package extends 'ggplot2' facets through customisation, by setting individual scales per panel, resizing panels and providing nested facets. Also allows multiple colour and fill scales per plot. Also hosts a smaller collection of stats, geoms and axis guides.
License: MIT + file LICENSE
URL: https://github.com/teunbrand/ggh4x
BugReports: https://github.com/teunbrand/ggh4x/issues
Depends: ggplot2 (>= 3.3.0)
Imports: grid, gtable, scales, vctrs, rlang
Suggests: covr, digest, fitdistrplus, ggdendro, knitr, MASS, rmarkdown, stats, testthat (>= 2.1.0), utils
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Collate: 'element_part_rect.R' 'facet_nested.R' 'facet_wrap2.R' 'facet_nested_wrap.R' 'facetted_pos_scales.R' 'force_panelsize.R' 'geom_pointpath.R' 'geom_polygonraster.R' 'geom_rectrug.R' 'geom_text_aimed.R' 'ggh4x-package.R' 'ggh4x_extensions.R' 'guide_axis_logticks.R' 'guide_axis_minor.R' 'guide_axis_nested.R' 'guide_axis_truncated.R' 'guide_axis_utils.R' 'guide_dendrogram.R' 'guide_stringlegend.R' 'position_disjoint_ranges.R' 'position_lineartrans.R' 'scale_dendrogram.R' 'scale_listed.R' 'scale_multi.R' 'stat_funxy.R' 'stat_rle.R' 'stat_roll.R' 'stat_theodensity.R' 'themes.R' 'utils.R'
NeedsCompilation: no
Packaged: 2021-02-07 12:32:54 UTC; t.vd.brand
Author: Teun van den Brand [aut, cre] (<https://orcid.org/0000-0002-9335-7468>)
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-11 10:00:02 UTC

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Package fixest updated to version 0.8.2 with previous version 0.8.1 dated 2021-01-13

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

Diff between fixest versions 0.8.1 dated 2021-01-13 and 0.8.2 dated 2021-02-11

 DESCRIPTION                        |    6 
 MD5                                |   32 
 NEWS.md                            |   30 
 R/ESTIMATION_FUNS.R                |   35 
 R/MiscFuns.R                       |  120 +-
 R/etable.R                         |    5 
 R/fixest_env.R                     |    3 
 build/vignette.rds                 |binary
 inst/doc/exporting_tables.R        |  102 +-
 inst/doc/exporting_tables.html     |  356 -------
 inst/doc/fixest_walkthrough.Rmd    |    2 
 inst/doc/fixest_walkthrough.html   | 1676 ++++---------------------------------
 inst/doc/multiple_estimations.html |  405 +-------
 inst/doc/standard_errors.html      |  244 -----
 man/etable.Rd                      |    2 
 man/fitstat.Rd                     |   25 
 vignettes/fixest_walkthrough.Rmd   |    2 
 17 files changed, 539 insertions(+), 2506 deletions(-)

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New package covidprobability with initial version 0.1.0
Package: covidprobability
Title: Estimate the Unit-Wide Probability of COVID-19
Version: 0.1.0
Authors@R: c(person(given = "Eric", family = "Brown", role = c("aut", "cre"), email = "eb@ericebrown.com", comment = c(ORCID = "0000-0002-1575-2606")), person(given = "Wei", family = "Wang", role = c("ctb")) )
Description: We propose a method to estimate the probability of an undetected case of COVID-19 in a defined setting, when a given number of people have been exposed, with a given pretest probability of having COVID-19 as a result of that exposure. Since we are interested in undetected COVID-19, we assume no person has developed symptoms (which would warrant further investigation) and that everyone was tested on a given day, and all tested negative.
URL: https://github.com/eebrown/covidprobability
BugReports: https://github.com/eebrown/covidprobability/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, utils
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-02-07 16:31:02 UTC; ericbrown
Author: Eric Brown [aut, cre] (<https://orcid.org/0000-0002-1575-2606>), Wei Wang [ctb]
Maintainer: Eric Brown <eb@ericebrown.com>
Repository: CRAN
Date/Publication: 2021-02-11 10:00:14 UTC

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Package billboarder updated to version 0.3.0 with previous version 0.2.8 dated 2020-01-09

Title: Create Interactive Chart with the JavaScript 'Billboard' Library
Description: Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], NAVER Corp [cph] (billboard.js library), Mike Bostock [cph] (d3.format library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between billboarder versions 0.2.8 dated 2020-01-09 and 0.3.0 dated 2021-02-11

 billboarder-0.2.8/billboarder/inst/proxy_examples/transform                        |only
 billboarder-0.2.8/billboarder/man/set_theme.Rd                                     |only
 billboarder-0.3.0/billboarder/DESCRIPTION                                          |   12 
 billboarder-0.3.0/billboarder/LICENSE                                              |    4 
 billboarder-0.3.0/billboarder/MD5                                                  |  126 -
 billboarder-0.3.0/billboarder/NAMESPACE                                            |    7 
 billboarder-0.3.0/billboarder/NEWS.md                                              |   29 
 billboarder-0.3.0/billboarder/R/bauge.R                                            |   37 
 billboarder-0.3.0/billboarder/R/bb_helpers.R                                       |   52 
 billboarder-0.3.0/billboarder/R/bb_labs.R                                          |   54 
 billboarder-0.3.0/billboarder/R/bb_utils.R                                         |   12 
 billboarder-0.3.0/billboarder/R/billboard-mapping.R                                |  132 -
 billboarder-0.3.0/billboarder/R/billboarder-data.R                                 |    3 
 billboarder-0.3.0/billboarder/R/billboarder-package.R                              |    8 
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Package PPRL updated to version 0.3.6 with previous version 0.3.5.2 dated 2019-01-08

Title: Privacy Preserving Record Linkage
Description: A toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques. Combines the functionality of the 'Merge ToolBox' (<http://record-linkage.de>) with current privacy-preserving techniques.
Author: Rainer Schnell [aut, cph], Dorothea Rukasz [aut, cre], Christian Borgs [ctb], Stefan Brumme [ctb] (HMAC, SHA256), William B. Brogden [ctb] (Metaphone), Tim O'Brien [ctb] (Metaphone), Stephen Lacy [ctb] (Double Metaphone), Apache Software Foundation [cph]
Maintainer: Dorothea Rukasz <mitarbeiter.schnell@uni-due.de>

Diff between PPRL versions 0.3.5.2 dated 2019-01-08 and 0.3.6 dated 2021-02-11

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Package mlr3tuning updated to version 0.7.0 with previous version 0.6.0 dated 2021-01-24

Title: Tuning for 'mlr3'
Description: Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package PHInfiniteEstimates updated to version 1.7 with previous version 1.6 dated 2020-12-04

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package Numero updated to version 1.8.0 with previous version 1.7.4 dated 2021-01-22

Title: Statistical Framework to Define Subgroups in Complex Datasets
Description: High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Author: Song Gao [aut], Stefan Mutter [aut], Aaron E. Casey [aut], Ville-Petteri Makinen [aut, cre]
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>

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Package iNZightPlots updated to version 2.12.6 with previous version 2.12.4 dated 2020-09-16

Title: Graphical Tools for Exploring Data with 'iNZight'
Description: Simple plotting function(s) for exploratory data analysis with flexible options allowing for easy plot customisation. The goal is to make it easy for beginners to start exploring a dataset through simple R function calls, as well as provide a similar interface to summary statistics and inference information. Includes functionality to generate interactive HTML-driven graphs. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Yu Han Soh [aut], Daniel Barnett [aut]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package onion updated to version 1.5-0 with previous version 1.2-7 dated 2017-07-11

Title: Octonions and Quaternions
Description: Quaternions and Octonions are four- and eight- dimensional extensions of the complex numbers. They are normed division algebras over the real numbers and find applications in spatial rotations (quaternions), and string theory and relativity (octonions). The quaternions are noncommutative and the octonions nonassociative. See the package vignette for more details.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package mcmcderive updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-16

Title: Derive MCMC Parameters
Description: Generates derived parameter(s) from Monte Carlo Markov Chain (MCMC) samples using R code. This allows Bayesian models to be fitted without the inclusion of derived parameters which add unnecessary clutter and slow model fitting. For more information on MCMC samples see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package vitae (with last version 0.4.1) was removed from CRAN

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

2021-02-02 0.4.1
2021-01-28 0.4.0
2020-11-11 0.3.0

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Package binostics (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:

2021-01-27 0.1.3
2019-03-06 0.1.2

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Package rgeoda (with last version 0.0.6) was removed from CRAN

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2021-01-28 0.0.6

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