Wed, 10 Feb 2021

Package RCytoGPS updated to version 1.1.1 with previous version 1.0.1 dated 2020-11-19

Title: Using Cytogenetics Data in R
Description: Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then import the results into R for further analysis and graphing.
Author: Kevin R. Coombes, Dwayne Tally
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between RCytoGPS versions 1.0.1 dated 2020-11-19 and 1.1.1 dated 2021-02-10

 DESCRIPTION                      |    8 ++++----
 MD5                              |   18 +++++++++++++-----
 NAMESPACE                        |    2 +-
 NEWS                             |   10 +++++++++-
 R/102-preclean.R                 |only
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 inst/doc/Gallery.html            |    6 +++---
 inst/doc/IntroRCytoGPS.html      |    8 ++++----
 man/07-preclean.Rd               |only
 tests/test101-preclean.R         |only
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 11 files changed, 34 insertions(+), 18 deletions(-)

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Package gjam updated to version 2.3.4 with previous version 2.3.2 dated 2020-06-15

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

Diff between gjam versions 2.3.2 dated 2020-06-15 and 2.3.4 dated 2021-02-10

 DESCRIPTION                |   10 
 MD5                        |   18 
 R/gjamHfunctions.R         |  467 ++++++++-----
 R/gjamPriorTemplate.R      |    7 
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 inst/doc/gjamVignette.Rmd  |  142 ++--
 inst/doc/gjamVignette.html | 1503 +++++++++++++++++++++++++--------------------
 man/gjam-package.Rd        |    4 
 vignettes/gjamVignette.Rmd |  142 ++--
 10 files changed, 1372 insertions(+), 961 deletions(-)

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Package squashinformr updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-24

Title: Politely Web Scrape Data from SquashInfo
Description: Scrape SquashInfo <http://www.squashinfo.com/> for data on the Professional Squash Association World Tour and other squash events. 'squashinformr' functions scrape, parse, and clean data associated with players, tournaments, and rankings.
Author: Hayden MacDonald [aut, cre]
Maintainer: Hayden MacDonald <hayden.macdonald.8778@gmail.com>

Diff between squashinformr versions 0.2.0 dated 2021-01-24 and 0.2.1 dated 2021-02-10

 DESCRIPTION                 |    6 +++---
 MD5                         |    8 ++++----
 R/get_historical_rankings.R |    2 +-
 R/get_tournament_.R         |    2 +-
 README.md                   |    2 +-
 5 files changed, 10 insertions(+), 10 deletions(-)

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Package websocket updated to version 1.3.2 with previous version 1.3.1 dated 2020-07-13

Title: 'WebSocket' Client Library
Description: Provides a 'WebSocket' client interface for R. 'WebSocket' is a protocol for low-overhead real-time communication: <https://en.wikipedia.org/wiki/WebSocket>.
Author: Winston Chang [aut, cre], Joe Cheng [aut], Alan Dipert [aut], Barbara Borges [aut], RStudio [cph], Peter Thorson [ctb, cph] (WebSocket++ library), René Nyffenegger [ctb, cph] (Base 64 library), Micael Hildenborg [ctb, cph] (SHA1 library), Aladdin Enterprises [cph] (MD5 library), Bjoern Hoehrmann [ctb, cph] (UTF8 Validation library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between websocket versions 1.3.1 dated 2020-07-13 and 1.3.2 dated 2021-02-10

 DESCRIPTION                  |    6 
 MD5                          |   16 -
 NEWS.md                      |    9 
 README.md                    |  230 ++++++++++++++++++++++--
 build/vignette.rds           |binary
 configure                    |   22 --
 inst/doc/overview.html       |  410 +++++++++++++++++--------------------------
 src/wrapped_print.h          |    2 
 tests/testthat/test-client.R |   12 -
 9 files changed, 420 insertions(+), 287 deletions(-)

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Package Rilostat updated to version 1.1.5 with previous version 1.1 dated 2020-05-27

Title: ILO Open Data via Ilostat Bulk Download Facility or SDMX Web Service
Description: Tools to download data from the ilostat database <https://ilostat.ilo.org> together with search and manipulation utilities.
Author: ILO Department of Statistics [cph, fnd], David Bescond [aut, cre] (<https://orcid.org/0000-0002-1642-0304>), Mabelin Villarreal-Fuentes [ctb] (<https://orcid.org/0000-0001-5644-5760>)
Maintainer: David Bescond <bescond@ilo.org>

Diff between Rilostat versions 1.1 dated 2020-05-27 and 1.1.5 dated 2021-02-10

 Rilostat-1.1.5/Rilostat/DESCRIPTION            |   24 ++++++++++--------
 Rilostat-1.1.5/Rilostat/MD5                    |   32 ++++++++-----------------
 Rilostat-1.1.5/Rilostat/NEWS.md                |    4 +++
 Rilostat-1.1.5/Rilostat/R/Rilostat.R           |    5 ++-
 Rilostat-1.1.5/Rilostat/R/get_ilostat_dic.R    |    2 -
 Rilostat-1.1.5/Rilostat/R/get_ilostat_toc.R    |    2 -
 Rilostat-1.1.5/Rilostat/R/runExplorer.R        |   18 ++++----------
 Rilostat-1.1.5/Rilostat/README.md              |    2 -
 Rilostat-1.1.5/Rilostat/man/Rilostat.Rd        |    4 +--
 Rilostat-1.1.5/Rilostat/man/get_ilostat_dic.Rd |    2 -
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Package xfun updated to version 0.21 with previous version 0.20 dated 2021-01-06

Title: Miscellaneous Functions by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.20 dated 2021-01-06 and 0.21 dated 2021-02-10

 DESCRIPTION                 |    6 ++--
 MD5                         |   30 ++++++++++++----------
 NAMESPACE                   |    4 ++
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Package SymbolicDeterminants updated to version 2.0.0 with previous version 1.3.0 dated 2021-01-05

Title: Symbolic Representation of Matrix Determinant
Description: Creates a numeric guide for writing the formula for the determinant of a square matrix (a detguide) as a function of the elements of the matrix and writes out that formula, the symbolic representation.
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>

Diff between SymbolicDeterminants versions 1.3.0 dated 2021-01-05 and 2.0.0 dated 2021-02-10

 DESCRIPTION              |   11 +++---
 MD5                      |   38 +++++++++++++---------
 NAMESPACE                |    5 ++
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 24 files changed, 302 insertions(+), 121 deletions(-)

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Package survC1 updated to version 1.0-3 with previous version 1.0-2 dated 2013-02-14

Title: C-Statistics for Risk Prediction Models with Censored Survival Data
Description: Performs inference for C of risk prediction models with censored survival data, using the method proposed by Uno et al. (2011) <doi:10.1002/sim.4154>. Inference for the difference in C between two competing prediction models is also implemented.
Author: Hajime Uno
Maintainer: Hajime Uno <huno@jimmy.harvard.edu>

Diff between survC1 versions 1.0-2 dated 2013-02-14 and 1.0-3 dated 2021-02-10

 DESCRIPTION           |   18 ++++++++----------
 MD5                   |   29 ++++++++++++++++-------------
 NAMESPACE             |    9 ++++++---
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 man/Est.Cval.Rd       |   17 -----------------
 man/Est.PH.Rd         |   18 ------------------
 man/Inf.Cval.Delta.Rd |   18 ------------------
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 man/conc.Rd           |   34 +---------------------------------
 man/cvC.Rd            |   18 ------------------
 man/kmcens.Rd         |   34 +---------------------------------
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 man/unoCW.Rd          |   33 +--------------------------------
 man/unoU2P.Rd         |   33 +--------------------------------
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Package permGPU updated to version 0.15 with previous version 0.14.9 dated 2016-02-23

Title: Using GPUs in Statistical Genomics
Description: Can be used to carry out permutation resampling inference in the context of RNA microarray studies.
Author: Ivo D. Shterev [aut, cre], Kouros Owzar [aut], Sin-Ho Jung [aut], Stephen L. George [aut], Brian J. Smith [ctb, cph] (wrote original version of configure.ac file), Kenneth Wilder [ctb, cph] (wrote ranker.h), Romain Francois [ctb, cph] (wrote original version of cleanup file), Dirk Eddelbuettel [ctb, cph] (wrote original version of cleanup file)
Maintainer: Ivo D. Shterev <i.shterev@gmail.com>

Diff between permGPU versions 0.14.9 dated 2016-02-23 and 0.15 dated 2021-02-10

 permGPU-0.14.9/permGPU/cleanup              |only
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 permGPU-0.15/permGPU/MD5                    |   17 ++++++--------
 permGPU-0.15/permGPU/man/makeExprSet.Rd     |   10 ++------
 permGPU-0.15/permGPU/man/permGPU-package.Rd |   34 +++++++++++-----------------
 permGPU-0.15/permGPU/man/permgpu.Rd         |   27 ++--------------------
 permGPU-0.15/permGPU/man/scoregpu.Rd        |   23 +-----------------
 permGPU-0.15/permGPU/man/test.permgpu.Rd    |    8 +-----
 permGPU-0.15/permGPU/man/test.scoregpu.Rd   |    7 +----
 permGPU-0.15/permGPU/src/permGPU.cu         |   15 ++++++++----
 10 files changed, 49 insertions(+), 103 deletions(-)

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New package ORTSC with initial version 1.0.0
Package: ORTSC
Title: Connects to Google Cloud API for Label Detection
Version: 1.0.0
Authors@R: c(person("Mohamed", "Soudy", email = "MohmedSoudy2009@gmail.com", role=c("aut", "cre")),person("Yasmine", "Afify", email = "yasmine.afify@cis.asu.edu.eg", role = "aut"),person("Nagwa", "Badr", email = "Nagwabadr@cis.asu.edu.eg", role = "aut"))
Author: Mohamed Soudy [aut, cre], Yasmine Afify [aut], Nagwa Badr [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Description: Connects to Google cloud vision <https://cloud.google.com/vision> to perform label detection and repurpose this feature for image classification.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: utils , stats, googleAuthR, googleCloudVisionR
URL: https://github.com/MohmedSoudy/ORTSC
BugReports: https://github.com/MohmedSoudy/ORTSC/issues
NeedsCompilation: no
Packaged: 2021-02-06 16:08:34 UTC; RSH
Repository: CRAN
Date/Publication: 2021-02-10 16:30:07 UTC

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New package CDSeq with initial version 1.0.8
Package: CDSeq
Type: Package
Title: A Complete Deconvolution Method using Sequencing Data
Depends: R (>= 3.6.0)
biocViews:
Version: 1.0.8
Date: 2021-01-29
Authors@R: c(person("Kai", "Kang", email = "kangkai0714@gmail.com", role = c("aut", "cre","cph")), person("Caizhi", "Huang", email = "chuang19@ncsu.edu", role = "aut"), person("Qian","Meng", role="ctb"), person("Igor","Shats", role="ctb"), person("Melissa","Li", role="ctb"), person("David","Umbach",role="ctb"), person("Leping","Li", role=c("aut","cph")), person("Yuanyuan","Li", role="ctb"), person("Xiaoling","Li", role="ctb"))
Maintainer: Kai Kang <kangkai0714@gmail.com>
Description: Estimate cell-type-specific gene expression profiles and sample-specific cell-type proportions simultaneously using bulk sequencing data. Kang et al. (2019) <doi:10.1371/journal.pcbi.1007510>.
License: GPL-3
Imports: Rcpp (>= 1.0.3), MASS, foreach, doParallel, dirmult, RcppThread, iterators, parallel, qlcMatrix, gplots, grDevices, clue, Biobase, Seurat, ggplot2, magrittr, dplyr, rlang, Matrix, matrixStats, ggpubr
LinkingTo: Rcpp, RcppArmadillo,
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/kkang7/CDSeq_R_Package, https://doi.org/10.1371/journal.pcbi.1007510
BugReports: https://github.com/kkang7/CDSeq_R_Package/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2021-02-06 02:22:54 UTC; kaikang
Author: Kai Kang [aut, cre, cph], Caizhi Huang [aut], Qian Meng [ctb], Igor Shats [ctb], Melissa Li [ctb], David Umbach [ctb], Leping Li [aut, cph], Yuanyuan Li [ctb], Xiaoling Li [ctb]
Repository: CRAN
Date/Publication: 2021-02-10 16:10:02 UTC

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New package blaster with initial version 1.0
Package: blaster
Type: Package
Title: Native R Implementation of an Efficient BLAST-Like Algorithm
Version: 1.0
Date: 2021-01-25
Authors@R: c(person("Manu", "Tamminen", email = "mavatam@utu.fi", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5891-7653")), person("Timothy", "Julian", email = "tim.julian@eawag.ch", role = c("aut"), comment = c(ORCID = "0000-0003-1000-0306")), person("Steven", "Schmid", email="stevschmid@gmail.com", role = c("aut")))
Maintainer: Manu Tamminen <mavatam@utu.fi>
Description: Implementation of an efficient BLAST-like sequence comparison algorithm, written in C++11 and using native R datatypes. Blaster is based on 'nsearch' - Schmid et al 2018; <doi:10.1101/399782>.
License: BSD_3_clause + file LICENSE
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp
SystemRequirements: C++14
RoxygenNote: 7.1.1
URL: https://github.com/manutamminen/blaster
NeedsCompilation: yes
Packaged: 2021-02-06 10:50:13 UTC; mavatam
Author: Manu Tamminen [aut, cre] (<https://orcid.org/0000-0001-5891-7653>), Timothy Julian [aut] (<https://orcid.org/0000-0003-1000-0306>), Steven Schmid [aut]
Repository: CRAN
Date/Publication: 2021-02-10 16:20:06 UTC

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New package behaviorchange with initial version 0.3.0
Package: behaviorchange
Type: Package
Title: Tools for Behavior Change Researchers and Professionals
Version: 0.3.0
Authors@R: c( person(given = "Gjalt-Jorn", family = "Peters", role = c("aut", "cre"), email = "gjalt-jorn@a-bc.eu", comment = c(ORCID = "0000-0002-0336-9589")), person(given = "Rik", family = "Crutzen", role = c("ctb"), email = "rik@a-bc.eu", comment = c(ORCID = "0000-0002-3731-6610")), person(given = "Stefan", family = "Gruijters", role = c("ctb"), email = "mail@stefangruijters.nl", comment = c(ORCID = "0000-0003-0141-0071")) )
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@a-bc.eu>
License: GPL (>= 3)
Description: Contains specialised analyses and visualisation tools for behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots, see Crutzen, Noijen & Peters (2017) <doi:10.3389/fpubh.2017.00165>), systematically developing, reporting, and analysing interventions (for example, using Acyclic Behavior Change Diagrams), and reporting about intervention effectiveness (for example, using the Numbers Needed for Change, see Gruijters & Peters (2017) <doi:10.31234/osf.io/2bau7>), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2019) <doi:10.31234/osf.io/jc295>). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers.
URL: https://r-packages.gitlab.io/behaviorchange
BugReports: https://gitlab.com/r-packages/behaviorchange/-/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.0.0)
Imports: BiasedUrn (>= 1.07), data.tree (>= 0.7.5), DiagrammeR (>= 1.0.0), DiagrammeRsvg (>= 0.1.0), ggplot2 (>= 2.2.1), googlesheets4 (>= 0.2.0), gridExtra (>= 2.3), gtable (>= 0.2.0), ufs (>= 0.3.2), viridis (>= 0.5.1), yum (>= 0.0.1)
Suggests: kableExtra, knitr, openxlsx, png (>= 0.1), rmarkdown, rsvg, webshot
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-10 14:48:12 UTC; gjalt
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Rik Crutzen [ctb] (<https://orcid.org/0000-0002-3731-6610>), Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>)
Repository: CRAN
Date/Publication: 2021-02-10 16:30:02 UTC

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Package mosum updated to version 1.2.4 with previous version 1.2.3 dated 2019-11-04

Title: Moving Sum Based Procedures for Changes in the Mean
Description: Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) <doi:10.3150/16-BEJ887> and the multiscale algorithmic extensions from Cho and Kirch (2019) <arXiv:1910.12486>.
Author: Alexander Meier [aut], Haeran Cho [aut, cre], Claudia Kirch [aut]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

Diff between mosum versions 1.2.3 dated 2019-11-04 and 1.2.4 dated 2021-02-10

 DESCRIPTION                    |   10 -
 MD5                            |  109 ++++++++--------
 NAMESPACE                      |   72 +++++------
 R/RcppExports.R                |  268 ++++++++++++++++++++---------------------
 R/bandwidth.R                  |    4 
 R/bootstrap.R                  |  251 +++++++++++++++++++-------------------
 R/local_prune.R                |   59 ++++++---
 man/bandwidths.default.Rd      |   77 +++++------
 man/bootstrapped_timeSeries.Rd |   24 +--
 man/comb_contains_cpt.Rd       |   24 +--
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 man/get_k_star.Rd              |   24 +--
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 man/is_child.Rd                |   32 ++--
 man/local.env.Rd               |   24 +--
 man/local.prune.Rd             |   24 +--
 man/mean_help.Rd               |   24 +--
 man/modelSignal.blocks.Rd      |   56 ++++----
 man/modelSignal.fms.Rd         |   56 ++++----
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 man/mosum.criticalValue.Rd     |   62 ++++-----
 man/mosum.pValue.Rd            |   44 +++---
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 man/multiscale.grid.Rd         |   68 +++++-----
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 man/numberOfSetBits.Rd         |   28 ++--
 man/persp3D.multiscaleMosum.Rd |  156 ++++++++++++-----------
 man/plot.mosum.cpts.Rd         |   94 +++++++-------
 man/plot.mosum.stat.Rd         |   51 +++----
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 man/print.mosum.cpts.Rd        |   42 +++---
 man/print.multiscale.cpts.Rd   |   42 +++---
 man/rolling_sum.Rd             |   28 ++--
 man/setBitNumber.Rd            |   28 ++--
 man/start_bit_permutations.Rd  |   32 ++--
 man/summary.mosum.cpts.Rd      |   54 ++++----
 man/summary.multiscale.cpts.Rd |   54 ++++----
 man/testData.Rd                |  142 +++++++++++----------
 man/testSignal.Rd              |   84 ++++++------
 src/bootstrap.cpp              |   20 +--
 56 files changed, 1898 insertions(+), 1799 deletions(-)

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Package insol updated to version 1.2.2 with previous version 1.2.1 dated 2019-12-17

Title: Solar Radiation
Description: Functions to compute insolation on complex terrain.
Author: Javier G. Corripio
Maintainer: Javier G. Corripio <jgc@meteoexploration.com>

Diff between insol versions 1.2.1 dated 2019-12-17 and 1.2.2 dated 2021-02-10

 DESCRIPTION       |    8 ++++----
 MD5               |   12 ++++++------
 R/insolation.R    |    8 ++++----
 man/aspect.Rd     |    3 +--
 man/cgrad.Rd      |    3 +--
 man/doshade.Rd    |    2 +-
 man/insolation.Rd |   25 ++++++++++++++++++-------
 7 files changed, 35 insertions(+), 26 deletions(-)

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Package FisPro updated to version 1.1 with previous version 1.0 dated 2019-06-14

Title: Fuzzy Inference System Design and Optimization
Description: Fuzzy inference systems are based on fuzzy rules, which have a good capability for managing progressive phenomenons. This package is a basic implementation of the main functions to use a Fuzzy Inference System (FIS) provided by the open source software 'FisPro' <https://www.fispro.org>. 'FisPro' allows to create fuzzy inference systems and to use them for reasoning purposes, especially for simulating a physical or biological system.
Author: Serge Guillaume [aut], Brigitte Charnomordic [aut], Jean-Luc Lablée [aut, cre], Hazaël Jones [ctb], Lydie Desperben [ctb], INRAE [cph] (National Research Institute for Agriculture, Food and Environment, France)
Maintainer: Jean-Luc Lablée <jean-luc.lablee@inrae.fr>

Diff between FisPro versions 1.0 dated 2019-06-14 and 1.1 dated 2021-02-10

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Package textshaping updated to version 0.3.0 with previous version 0.2.1 dated 2020-11-13

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between textshaping versions 0.2.1 dated 2020-11-13 and 0.3.0 dated 2021-02-10

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Package RobKF updated to version 1.0.1 with previous version 1.0.0 dated 2020-09-01

Title: Innovative and/or Additive Outlier Robust Kalman Filtering
Description: Implements a series of robust Kalman filtering approaches. It implements the additive outlier robust filters of Ruckdeschel et al. (2014) <arXiv:1204.3358> and Agamennoni et al. (2018) <doi:10.1109/ICRA.2011.5979605>, the innovative outlier robust filter of Ruckdeschel et al. (2014) <arXiv:1204.3358>, as well as the innovative and additive outlier robust filter of Fisch et al. (2020) <arXiv:2007.03238>.
Author: Alexander Fisch [aut], Daniel Grose [aut, cre], Idris Eckley [ths], Paul Fearnhead [ths], Bardwell Lawrence [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

Diff between RobKF versions 1.0.0 dated 2020-09-01 and 1.0.1 dated 2021-02-10

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Package rfishbase updated to version 3.1.6 with previous version 3.1.5 dated 2021-01-18

Title: R Interface to 'FishBase'
Description: A programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Duncan Temple Lang [aut], Peter Wainwright [aut], Kevin Cazelles [ctb] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between rfishbase versions 3.1.5 dated 2021-01-18 and 3.1.6 dated 2021-02-10

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Package RcppSMC updated to version 0.2.3 with previous version 0.2.2 dated 2020-08-30

Title: Rcpp Bindings for Sequential Monte Carlo
Description: R access to the Sequential Monte Carlo Template Classes by Johansen <doi:10.18637/jss.v030.i06> is provided. At present, four additional examples have been added, and the first example from the JSS paper has been extended. Further integration and extensions are planned.
Author: Dirk Eddelbuettel, Adam M. Johansen and Leah F. South
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSMC versions 0.2.2 dated 2020-08-30 and 0.2.3 dated 2021-02-10

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Package rangeMapper updated to version 2.0.1 with previous version 2.0.0 dated 2021-02-05

Title: A Platform for the Study of Macro-Ecology of Life History Traits
Description: Tools for generation of (life-history) traits and diversity maps on hexagonal or square grids. Valcu et al.(2012) <doi:10.1111/j.1466-8238.2011.00739.x>.
Author: Mihai Valcu [aut, cre] (<https://orcid.org/0000-0002-6907-7802>), James Dale [aut] (<https://orcid.org/0000-0001-5950-5829>), Joan Maspons [ctb]
Maintainer: Mihai Valcu <valcu@orn.mpg.de>

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Package randomForestSRC updated to version 2.10.1 with previous version 2.10.0 dated 2021-01-31

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout variable importance. Visualize trees on your Safari or Google Chrome browser.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 2.10.0 dated 2021-01-31 and 2.10.1 dated 2021-02-10

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Package multiclassPairs updated to version 0.4.2 with previous version 0.4.1 dated 2021-01-26

Title: Build MultiClass Pair-Based Classifiers using TSPs or RF
Description: A toolbox to train a single sample classifier that uses in-sample feature relationships. The relationships are represented as feature1 < feature2 (e.g. gene1 < gene2). We provide two options to go with. First is based on 'switchBox' package which uses Top-score pairs algorithm. Second is a novel implementation based on random forest algorithm. For simple problems we recommend to use one-vs-rest using TSP option due to its simplicity and for being easy to interpret. For complex problems RF performs better. Both lines filter the features first then combine the filtered features to make the list of all the possible rules (i.e. rule1: feature1 < feature2, rule2: feature1 < feature3, etc...). Then the list of rules will be filtered and the most important and informative rules will be kept. The informative rules will be assembled in an one-vs-rest model or in an RF model. We provide a detailed description with each function in this package to explain the filtration and training methodology in each line. Reference: Marzouka & Eriksson (2021) <doi:10.1093/bioinformatics/btab088>.
Author: Nour-al-dain Marzouka
Maintainer: Nour-al-dain Marzouka <Nour-al-dain.Marzouka@med.lu.se>

Diff between multiclassPairs versions 0.4.1 dated 2021-01-26 and 0.4.2 dated 2021-02-10

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Package mkin updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-03

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb] (contributed to mkinresplot()), René Lehmann [ctb] (ilr() and invilr()), Eurofins Regulatory AG [cph] (copyright for some of the contributions of JR 2012-2014)
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between mkin versions 1.0.0 dated 2021-02-03 and 1.0.1 dated 2021-02-10

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New package IMIX with initial version 1.1.4
Package: IMIX
Type: Package
Version: 1.1.4
Date: 2021-02-08
Title: Gaussian Mixture Model for Multi-Omics Data Integration
Authors@R: c(person("Ziqiao","Wang",role=c("aut","cre"),email="wzqjanet@gmail.com",comment = c(ORCID = "0000-0003-3383-8670")),person("Peng","Wei",role=c("ths"),email="pwei2@mdanderson.org",comment = c(ORCID = "0000-0001-7758-6116")))
Description: A multivariate Gaussian mixture model framework to integrate multiple types of genomic data and allow modeling of inter-data-type correlations for association analysis. 'IMIX' can be implemented to test whether a disease is associated with genes in multiple genomic data types, such as DNA methylation, copy number variation, gene expression, etc. It can also study the integration of multiple pathways. 'IMIX' uses the summary statistics of association test outputs and conduct integration analysis for two or three types of genomics data. 'IMIX' features statistically-principled model selection, global FDR control and computational efficiency. Details are described in Ziqiao Wang and Peng Wei (2020) <doi:10.1093/bioinformatics/btaa1001>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: crayon,mvtnorm,mixtools,mclust,ggplot2,stats,utils,MASS
URL: https://github.com/ziqiaow/IMIX
BugReports: https://github.com/ziqiaow/IMIX/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-08 17:55:05 UTC; zwang21
Author: Ziqiao Wang [aut, cre] (<https://orcid.org/0000-0003-3383-8670>), Peng Wei [ths] (<https://orcid.org/0000-0001-7758-6116>)
Maintainer: Ziqiao Wang <wzqjanet@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-10 14:40:11 UTC

More information about IMIX at CRAN
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Package Gmisc updated to version 2.0.1 with previous version 1.11.0 dated 2020-07-03

Title: Descriptive Statistics, Transition Plots, and More
Description: Tools for making the descriptive "Table 1" used in medical articles, a transition plot for showing changes between categories (also known as a Sankey diagram), flow charts by extending the grid package, a method for variable selection based on the SVD, Bézier lines with arrows complementing the ones in the 'grid' package, and more.
Author: Max Gordon <max@gforge.se>
Maintainer: Max Gordon <max@gforge.se>

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Package eatATA updated to version 0.10.0 with previous version 0.9.1 dated 2020-12-07

Title: Create Constraints for Small Test Assembly Problems
Description: Provides simple functions to create constraints for small test assembly problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently, 'GLPK', 'lpSolve', 'Symphony', and 'Gurobi' are supported as solvers. The 'gurobi' package is not available from any mainstream repository; see <https://www.gurobi.com/downloads/>.
Author: Benjamin Becker [aut, cre], Dries Debeer [aut]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>

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Package datacleanr updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-02

Title: Interactive and Reproducible Data Cleaning
Description: Flexible and efficient cleaning of data with interactivity. 'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code. The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.
Author: Alexander Hurley [cre, aut, cph] (<https://orcid.org/0000-0002-9641-2805>), Richard Peters [ctb] (<https://orcid.org/0000-0002-7441-1297>), Christoforos Pappas [ctb] (<https://orcid.org/0000-0001-5721-557X>)
Maintainer: Alexander Hurley <agl.hurley@gmail.com>

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Package vein updated to version 0.9.1 with previous version 0.9.0.1 dated 2020-10-13

Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.
Author: Sergio Ibarra-Espinosa [aut, cre, wdc] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>

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Package ResidentialEnergyConsumption updated to version 1.1.0 with previous version 1.0.1 dated 2020-08-17

Title: Residential Energy Consumption Data
Description: Datasets with energy consumption data of different data measurement frequencies. The data stems from several publicly funded research projects of the Chair of Information Systems and Energy Efficient Systems at the University of Bamberg.
Author: Konstantin Hopf [aut, cre] (<https://orcid.org/0000-0002-5452-0672>), Andreas Weigert [aut] (<https://orcid.org/0000-0002-8093-3710>), Nicolai Weinig [ctb], Thorsten Staake [aut] (<https://orcid.org/0000-0003-1399-4676>)
Maintainer: Konstantin Hopf <konstantin.hopf@uni-bamberg.de>

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Package prettyB updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-17

Title: Pretty Base Graphics
Description: Drop-in replacements for standard base graphics functions. The replacements are prettier versions of the originals.
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

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Package phyclust updated to version 0.1-30 with previous version 0.1-29 dated 2020-05-11

Title: Phylogenetic Clustering (Phyloclustering)
Description: Phylogenetic clustering (phyloclustering) is an evolutionary Continuous Time Markov Chain model-based approach to identify population structure from molecular data without assuming linkage equilibrium. The package phyclust (Chen 2011) provides a convenient implementation of phyloclustering for DNA and SNP data, capable of clustering individuals into subpopulations and identifying molecular sequences representative of those subpopulations. It is designed in C for performance, interfaced with R for visualization, and incorporates other popular open source programs including ms (Hudson 2002) <doi:10.1093/bioinformatics/18.2.337>, seq-gen (Rambaut and Grassly 1997) <doi:10.1093/bioinformatics/13.3.235>, Hap-Clustering (Tzeng 2005) <doi:10.1002/gepi.20063> and PAML baseml (Yang 1997, 2007) <doi:10.1093/bioinformatics/13.5.555>, <doi:10.1093/molbev/msm088>, for simulating data, additional analyses, and searching the best tree. See the phyclust website for more information, documentations and examples.
Author: Wei-Chen Chen [aut, cre], Karin Dorman [aut], Yan-Han Chen [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package ontologySimilarity updated to version 2.5 with previous version 2.4 dated 2021-02-10

Title: Calculating Ontological Similarities
Description: Calculate similarity between ontological terms and sets of ontological terms based on term information content and assess statistical significance of similarity in the context of a collection of terms sets - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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New package ontologyPlot with initial version 1.6
Package: ontologyPlot
Type: Package
Title: Visualising Sets of Ontological Terms
Version: 1.6
Date: 2021-02-10
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>
Description: Create R plots visualising ontological terms and the relationships between them with various graphical options - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Imports: methods, ontologyIndex, paintmap, Rgraphviz
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-10 12:43:30 UTC; dg
Repository: CRAN
Date/Publication: 2021-02-10 13:30:05 UTC

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Package SRS updated to version 0.2.2 with previous version 0.2.1 dated 2020-11-17

Title: Scaling with Ranked Subsampling
Description: Analysis of species count data in ecology often requires normalization to an identical sample size. Rarefying (random subsampling without replacement), which is a popular method for normalization, has been widely criticized for its poor reproducibility and potential distortion of the community structure. In the context of microbiome count data, researchers explicitly advised against the use of rarefying. An alternative to rarefying is scaling with ranked subsampling (SRS). SRS consists of two steps. In the first step, the total counts for all OTUs (operational taxonomic units) or species in each sample are divided by a scaling factor chosen in such a way that the sum of the scaled counts Cscaled equals Cmin. In the second step, the non-integer Cscaled values are converted into integers by an algorithm that we dub ranked subsampling. The Cscaled value for each OTU or species is split into the integer part Cint (Cint = floor(Cscaled)) and the fractional part Cfrac (Cfrac = Cscaled - Cints). Since the sum of Cint is smaller or equal to Cmin, additional delta C = Cmin - the sum of Cint counts have to be added to the library to reach the total count of Cmin. This is achieved as follows. OTUs are ranked in the descending order of their Cfrac values. Beginning with the OTU of the highest rank, single count per OTU is added to the normalized library until the total number of added counts reaches delta C and the sum of all counts in the normalized library equals Cmin. When the lowest Cfrag involved in picking delta C counts is shared by several OTUs, the OTUs used for adding a single count to the library are selected in the order of their Cint values. This selection minimizes the effect of normalization on the relative frequencies of OTUs. OTUs with identical Cfrag as well as Cint are sampled randomly without replacement. See Beule & Karlovsky (2020) <doi:10.7717/peerj.9593> for details.
Author: Lukas Beule [aut, cre], Vitor Heidrich [aut], Devon O'rourke [aut], Petr Karlovsky [aut]
Maintainer: Lukas Beule <lukas.beule@agr.uni-goettingen.de>

Diff between SRS versions 0.2.1 dated 2020-11-17 and 0.2.2 dated 2021-02-10

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Package pedtools updated to version 0.9.7 with previous version 0.9.6 dated 2020-11-14

Title: Creating and Working with Pedigrees and Marker Data
Description: A lightweight, but comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. Pedigree plots are produced by wrapping the plotting functionality of the 'kinship2' package.
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package jackalope updated to version 1.1.2 with previous version 1.1.1 dated 2020-06-15

Title: A Swift, Versatile Phylogenomic and High-Throughput Sequencing Simulator
Description: Simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina <https://www.illumina.com/> and Pacific Biosciences (PacBio) <https://www.pacb.com/> platforms. It can either read reference genomes from FASTA files or simulate new ones. Genomic variants can be simulated using summary statistics, phylogenies, Variant Call Format (VCF) files, and coalescent simulations—the latter of which can include selection, recombination, and demographic fluctuations. 'jackalope' can simulate single, paired-end, or mate-pair Illumina reads, as well as PacBio reads. These simulations include sequencing errors, mapping qualities, multiplexing, and optical/polymerase chain reaction (PCR) duplicates. Simulating Illumina sequencing is based on ART by Huang et al. (2012) <doi:10.1093/bioinformatics/btr708>. PacBio sequencing simulation is based on SimLoRD by Stöcker et al. (2016) <doi:10.1093/bioinformatics/btw286>. All outputs can be written to standard file formats.
Author: Lucas A. Nell [cph, aut, cre] (<https://orcid.org/0000-0003-3209-0517>)
Maintainer: Lucas A. Nell <lucas@lucasnell.com>

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Package subscreen updated to version 3.0.5 with previous version 3.0.4 dated 2021-02-04

Title: Systematic Screening of Study Data for Subgroup Effects
Description: Identifying outcome relevant subgroups has now become as simple as possible! The formerly lengthy and tedious search for the needle in a haystack will be replaced by a single, comprehensive and coherent presentation. The central result of a subgroup screening is a diagram in which each single dot stands for a subgroup. The diagram may show thousands of them. The position of the dot in the diagram is determined by the sample size of the subgroup and the statistical measure of the treatment effect in that subgroup. The sample size is shown on the horizontal axis while the treatment effect is displayed on the vertical axis. Furthermore, the diagram shows the line of no effect and the overall study results. For small subgroups, which are found on the left side of the plot, larger random deviations from the mean study effect are expected, while for larger subgroups only small deviations from the study mean can be expected to be chance findings. So for a study with no conspicuous subgroup effects, the dots in the figure are expected to form a kind of funnel. Any deviations from this funnel shape hint to conspicuous subgroups. This approach was presented in Muysers (2020) <doi:10.1007/s43441-019-00082-6> and referenced in Ballarini (2020) <doi:10.1002/pst.2012>. New to version 3 is the Automatic Screening of one- or MUlti-factorial Subgroups (ASMUS) for documentation of the structured review of subgroup findings.
Author: Bodo Kirsch, Steffen Jeske, Susanne Lippert, Thomas Schmelter, Christoph Muysers, Hermann Kulmann
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>

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Package MSbox updated to version 1.3.8 with previous version 1.2.2 dated 2020-08-10

Title: Mass Spectrometry Tools
Description: Common mass spectrometry tools described in John Roboz (2013) <doi:10.1201/b15436>. It allows checking element isotopes, calculating (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy, and inspecting possible contaminant mass peaks, examining possible adducts in electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) ion sources.
Author: Yonghui Dong
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

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New package ClusTorus with initial version 0.0.1
Package: ClusTorus
Type: Package
Title: Clustering on the Torus by Conformal Prediction
Description: Provides various tools of for clustering multivariate angular data on the torus. The package provides angular adaptations of usual clustering methods such as the k-means clustering, pairwise angular distances, which can be used as an input for distance-based clustering algorithms, and implements clustering based on the conformal prediction framework. Options for the conformal scores include scores based on a kernel density estimate, multivariate von Mises mixtures, and naive k-means clusters. Moreover, the package provides some basic data handling tools for angular data.
Version: 0.0.1
License: GPL-3
Authors@R: c(person("Sungkyu", "Jung", email = "sungkyu@snu.ac.kr", role = c("aut","cph")), person("Seungki", "Hong", email = "skgaboja@snu.ac.kr", role = c("aut", "cre")), person("Kiho", "Park", role = c("ctb")), person("Byungwon", "Kim", role = c("ctb")))
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/sungkyujung/ClusTorus
BugReports: https://github.com/sungkyujung/ClusTorus/issues
Depends: R (>= 3.6.0)
Imports: BAMBI, igraph, purrr, ggplot2, rlang
Suggests: knitr, rmarkdown, tidyverse, cowplot
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-05 17:05:47 UTC; hongseung-gi
Author: Sungkyu Jung [aut, cph], Seungki Hong [aut, cre], Kiho Park [ctb], Byungwon Kim [ctb]
Maintainer: Seungki Hong <skgaboja@snu.ac.kr>
Repository: CRAN
Date/Publication: 2021-02-10 11:10:02 UTC

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New package cape with initial version 3.1.0
Package: cape
Title: Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice
Version: 3.1.0
Authors@R: c( person("Anna", "Tyler", role = c("aut", "cre"), email = "anna.tyler@jax.org"), person("Jake", "Emerson", role = c("aut"), email = "jake.emerson@jax.org"), person("Baha", "El Kassaby", role = c("aut")), person("Ann", "Wells", role = c("aut"), email = "ann.wells@jax.org"), person("Georgi", "Kolishovski", role = c("aut")), person("Vivek", "Philip", role = c("aut")), person("Gregory", "Carter", role = c("aut")))
Description: Combined Analysis of Pleiotropy and Epistasis infers predictive networks between genetic variants and phenotypes. It can be used with standard two-parent populations as well as multi-parent populations, such as the Diversity Outbred (DO) mice, Collaborative Cross (CC) mice, or the multi-parent advanced generation intercross (MAGIC) population of Arabidopsis thaliana. It uses complementary information of pleiotropic gene variants across different phenotypes to resolve models of epistatic interactions between alleles. To do this, cape reparametrizes main effect and interaction coefficients from pairwise variant regressions into directed influence parameters. These parameters describe how alleles influence each other, in terms of suppression and enhancement, as well as how gene variants influence phenotypes. All of the final interactions are reported as directed interactions between pairs of parental alleles. For detailed descriptions of the methods used in this package please see the following references. Carter, G. W., Hays, M., Sherman, A. & Galitski, T. (2012) <doi:10.1371/journal.pgen.1003010>. Tyler, A. L., Lu, W., Hendrick, J. J., Philip, V. M. & Carter, G. W. (2013) <doi:10.1371/journal.pcbi.1003270>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Suggests: testthat (>= 2.3.2), knitr (>= 1.29), rmarkdown
Imports: abind, caTools, corpcor, doParallel, evd, foreach, here, igraph, Matrix, parallel, pheatmap, propagate, qtl, qtl2, qtl2convert, R6 (>= 2.4.1), RColorBrewer (>= 1.1-2), regress (>= 1.3-21), shape (>= 1.4.5), stats, stringr (>= 1.4.0), tools, utils, yaml (>= 2.2.1)
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-08 14:58:03 UTC; atyler
Author: Anna Tyler [aut, cre], Jake Emerson [aut], Baha El Kassaby [aut], Ann Wells [aut], Georgi Kolishovski [aut], Vivek Philip [aut], Gregory Carter [aut]
Maintainer: Anna Tyler <anna.tyler@jax.org>
Repository: CRAN
Date/Publication: 2021-02-10 11:30:03 UTC

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New package yaps with initial version 1.2.4
Package: yaps
Title: Track Estimation using YAPS (Yet Another Positioning Solver)
Version: 1.2.4
Authors@R: c( person("Henrik", "Baktoft", email = "hba@aqua.dtu.dk", role = c("cre", "aut"), comment=c(ORCID = "0000-0002-3644-4960")), person("Karl", "Gjelland", role=c("aut"), comment=c(ORCID = "0000-0003-4036-4207")), person("Uffe H.", "Thygesen", role=c("aut"), comment=c(ORCID = "0000-0002-4311-6324")), person("Finn", "Økland", role=c("aut"), comment=c(ORCID = "0000-0002-1938-5460")) )
Description: Estimate tracks of animals tagged with acoustic transmitters. 'yaps' was introduced in 2017 as a transparent open-source tool to estimate positions of fish (and other aquatic animals) tagged with acoustic transmitters. Based on registrations of acoustic transmitters on hydrophones positioned in a fixed array, 'yaps' enables users to synchronize the collected data (i.e. correcting for drift in the internal clocks of the hydrophones/receivers) and subsequently to estimate tracks of the tagged animals. The paper introducing 'yaps' is available in open access at Baktoft, Gjelland, Økland & Thygesen (2017) <doi:10.1038/s41598-017-14278-z>. Also check out our cookbook with a completely worked through example at Baktoft, Gjelland, Økland, Rehage, Rodemann, Corujo, Viadero & Thygesen (2019) <DOI:10.1101/2019.12.16.877688>. Additional tutorials will eventually make their way onto the project website at <https://baktoft.github.io/yaps/>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp, TMB, RcppEigen
Imports: circular, cowplot, data.table, ggplot2, ggrepel, nloptr, plyr, Rcpp, reshape2, splusTimeSeries, stats, tictoc, TMB, viridis, zoo
Suggests: caTools, covr, knitr, rmarkdown, testthat (>= 2.1.0), vdiffr
URL: https://github.com/baktoft/yaps, https://baktoft.github.io/yaps/
BugReports: https://github.com/baktoft/yaps/issues
NeedsCompilation: yes
Packaged: 2021-02-05 08:04:25 UTC; hbak
Author: Henrik Baktoft [cre, aut] (<https://orcid.org/0000-0002-3644-4960>), Karl Gjelland [aut] (<https://orcid.org/0000-0003-4036-4207>), Uffe H. Thygesen [aut] (<https://orcid.org/0000-0002-4311-6324>), Finn Økland [aut] (<https://orcid.org/0000-0002-1938-5460>)
Maintainer: Henrik Baktoft <hba@aqua.dtu.dk>
Repository: CRAN
Date/Publication: 2021-02-10 10:40:02 UTC

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Package usethis updated to version 2.0.1 with previous version 2.0.0 dated 2020-12-10

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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New package treasuryTR with initial version 0.1.0
Package: treasuryTR
Type: Package
Title: Generate Treasury Total Returns from Yield Data
Version: 0.1.0
Authors@R: c(person("Martin", "Geissmann", email = "mg@econovo.ch", role = c("aut", "cre")))
Maintainer: Martin Geissmann <mg@econovo.ch>
Description: Generate Total Returns (TR) from bond yield data with fixed maturity, e.g. reported treasury yields. The generated TR series are very close to alternative series that can be purchased (e.g. CRSP, Bloomberg), suggesting they are a high-quality alternative for those, see Swinkels (2019) <doi:10.3390/data4030091>.
URL: https://github.com/mgei/treasuryTR
Depends: R (>= 3.2.0), quantmod, zoo, dplyr
Imports: xts(>= 0.9-0), lubridate
Suggests: PerformanceAnalytics, tidyr, ggplot2, dataseries, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-05 10:01:40 UTC; martin
Author: Martin Geissmann [aut, cre]
Repository: CRAN
Date/Publication: 2021-02-10 10:40:12 UTC

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New package tastypie with initial version 0.0.2
Package: tastypie
Title: Easy Pie Charts
Version: 0.0.2
Authors@R: person(given = "Paolo", family = "Dalena", role = c("aut", "cre"), email = "paolodalena97@gmail.com")
Description: You only need to type 'why pie charts are bad' on Google to find thousands of articles full of (valid) reasons why other types of charts should be preferred over this one. Therefore, because of the little use due to the reasons already mentioned, making pie charts (and related) in R is not straightforward, so other functions are needed to simplify things. In this R package there are useful functions to make 'tasty' pie charts immediately by exploiting the many cool templates provided.
License: GPL-3
URL: https://paolodalena.github.io/tastypie/
BugReports: https://github.com/PaoloDalena/tastypie/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: ggplot2, dplyr, magrittr, scales, RColorBrewer, shadowtext
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-02-05 17:00:13 UTC; PaoloMacbook
Author: Paolo Dalena [aut, cre]
Maintainer: Paolo Dalena <paolodalena97@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-10 11:00:02 UTC

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Package SUNGEO updated to version 0.2.1 with previous version 0.2.0 dated 2020-12-14

Title: Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System (<https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925693&HistoricalAwards=false>).
Author: Jason Byers, Marty Davidson, Yuri M. Zhukov
Maintainer: Yuri M. Zhukov <zhukov@umich.edu>

Diff between SUNGEO versions 0.2.0 dated 2020-12-14 and 0.2.1 dated 2021-02-10

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Package spatstat.data updated to version 2.0-0 with previous version 1.7-0 dated 2020-12-16

Title: Datasets for 'spatstat' Family
Description: Contains all the datasets for the 'spatstat' family of packages.
Author: Adrian Baddeley [aut, cre] (<https://orcid.org/0000-0001-9499-8382>), Rolf Turner [aut] (<https://orcid.org/0000-0001-5521-5218>), Ege Rubak [aut] (<https://orcid.org/0000-0002-6675-533X>), W Aherne [ctb], Freda Alexander [ctb], Qi Wei Ang [ctb], Sourav Banerjee [ctb], Mark Berman [ctb], R Bernhardt [ctb], Thomas Berndtsen [ctb], Andrew Bevan [ctb], Jeffrey Betts [ctb], Ray Cartwright [ctb], Richard Condit [ctb], Francis Crick [ctb], Marcelino de la Cruz Rot [ctb], Jack Cuzick [ctb], Peter Diggle [ctb], Michael Drinkwater [ctb], Stephen Eglen [ctb], Robert Edwards [ctb], AE Esler [ctb], Gregory Evans [ctb], Bernard Fingleton [ctb], Olivier Flores [ctb], David Ford [ctb], Robin Foster [ctb], Janet Franklin [ctb], Neba Funwi-Gabga [ctb], DJ Gerrard [ctb], Andy Green [ctb], Tim Griffin [ctb], Ute Hahn [ctb], RD Harkness [ctb], Arthur Hickman [ctb], Stephen Hubbell [ctb], Austin Hughes [ctb], Jonathan Huntington [ctb], MJ Hutchings [ctb], Valerie Isham [ctb], Aruna Jammalamadaka [ctb], Carl Knox-Robinson [ctb], Mahdieh Khanmohammadi [ctb], Tero Kokkila [ctb], Bas Kooijman [ctb], Kenneth Kosik [ctb], Peter Kovesi [ctb], Lily Kozmian-Ledward [ctb], Robert Lamb [ctb], NA Laskurain [ctb], George Leser [ctb], Marie-Colette van Lieshout [ctb], AF Mark [ctb], Jorge Mateu [ctb], Annikki Makela [ctb], Enrique Miranda [ctb], Nicoletta Nava [ctb], M Numata [ctb], Matti Nummelin [ctb], Jens Randel Nyengaard [ctb], Yosihiko Ogata [ctb], Antti Penttinen [ctb], Sandra Pereira [ctb], Nicolas Picard [ctb], William Platt [ctb], Stephen Rathbun [ctb], Brian Ripley [ctb], Dietrich Stoyan [ctb], David Strauss [ctb], L Strand [ctb], Masaharu Tanemura [ctb], Graham Upton [ctb], Bill Venables [ctb], Sasha Voss [ctb], Rasmus Waagepetersen [ctb], Keith Watkins [ctb], H Wendrock [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.data versions 1.7-0 dated 2020-12-16 and 2.0-0 dated 2021-02-10

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Package robustlmm updated to version 2.4-3 with previous version 2.4-2 dated 2021-01-31

Title: Robust Linear Mixed Effects Models
Description: A method to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>

Diff between robustlmm versions 2.4-2 dated 2021-01-31 and 2.4-3 dated 2021-02-10

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Package REndo updated to version 2.4.2 with previous version 2.4.1 dated 2020-10-14

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui@business.uzh.ch>

Diff between REndo versions 2.4.1 dated 2020-10-14 and 2.4.2 dated 2021-02-10

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 8 files changed, 31 insertions(+), 28 deletions(-)

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Package permPATH updated to version 1.2 with previous version 1.1 dated 2017-06-09

Title: Permutation Based Gene Expression Pathway Analysis
Description: Can be used to carry out permutation based gene expression pathway analysis. This work was supported by a National Institute of Allergy and Infectious Disease/National Institutes of Health contract (No. HHSN272200900059C).
Author: Ivo D. Shterev [aut, cre], Kouros Owzar [aut], Gregory D. Sempowski [aut], Kenneth Wilder [ctb, cph] (wrote original version of ranker.h)
Maintainer: Ivo D. Shterev <i.shterev@gmail.com>

Diff between permPATH versions 1.1 dated 2017-06-09 and 1.2 dated 2021-02-10

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New package PolyHaplotyper with initial version 1.0.0
Package: PolyHaplotyper
Type: Package
Title: Assignment of Haplotypes Based on SNP Dosages in Diploids and Polyploids
Version: 1.0.0
Author: Roeland E. Voorrips
Maintainer: Roeland E. Voorrips <roeland.voorrips@wur.nl>
Description: Infer the genetic composition of individuals in terms of haplotype dosages for a haploblock, based on bi-allelic marker dosages, for any ploidy level.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: XML
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-05 14:26:29 UTC; voorr001
Repository: CRAN
Date/Publication: 2021-02-10 10:40:32 UTC

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New package ontologySimilarity with initial version 2.4
Package: ontologySimilarity
Type: Package
Title: Functions for Calculating Ontological Similarities
Version: 2.4
Date: 2021-02-03
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>
Description: Calculate similarity between ontological terms and sets of ontological terms based on term information content and assess statistical significance of similarity in the context of a collection of terms sets - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.0), ontologyIndex (>= 2.0)
LinkingTo: Rcpp
Depends: R (>= 3.0.0)
Suggests: knitr, rmarkdown, paintmap
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-02-09 13:00:42 UTC; dg
Repository: CRAN
Date/Publication: 2021-02-10 10:40:23 UTC

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New package omsvg with initial version 0.1.0
Type: Package
Package: omsvg
Version: 0.1.0
Title: Build and Transform 'SVG' Objects
Description: Build 'SVG' components using element-based functions. With an 'svg' object, we can modify its graphical elements with a suite of transform functions.
Authors@R: person("Richard", "Iannone", , "riannone@me.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-3925-190X"))
License: MIT + file LICENSE
URL: https://github.com/rich-iannone/omsvg
BugReports: https://github.com/rich-iannone/omsvg/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.1
Depends: R (>= 3.2.1)
Imports: dplyr (>= 1.0.3), gt (>= 0.2.2), htmltools (>= 0.5.1.1), magrittr, rlang (>= 0.4.5), sass (>= 0.3.0), xml2 (>= 1.3.2)
Suggests: covr, knitr, testthat
NeedsCompilation: no
Packaged: 2021-02-05 15:56:34 UTC; rich
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>)
Maintainer: Richard Iannone <riannone@me.com>
Repository: CRAN
Date/Publication: 2021-02-10 10:50:06 UTC

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New package MLVSBM with initial version 0.2.1
Package: MLVSBM
Type: Package
Title: A Stochastic Block Model for Multilevel Networks
Version: 0.2.1
Authors@R: person(given = "Saint-Clair", family = "Chabert-Liddell", role = c("aut", "cre"), email = "saint-clair.chabert-liddell@agroparistech.fr", comment = c(ORCID = "0000-0001-5604-7308"))
Description: Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/Chabert-Liddell/MLVSBM
BugReports: https://github.com/Chabert-Liddell/MLVSBM/issues
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: R6, blockmodels, ape, magrittr
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, ggplot2 (>= 3.3.2), tidygraph (>= 1.2.0), ggraph (>= 2.0.3), ggforce, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-05 17:07:57 UTC; chabertliddell
Author: Saint-Clair Chabert-Liddell [aut, cre] (<https://orcid.org/0000-0001-5604-7308>)
Maintainer: Saint-Clair Chabert-Liddell <saint-clair.chabert-liddell@agroparistech.fr>
Repository: CRAN
Date/Publication: 2021-02-10 11:00:16 UTC

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New package MiRNAQCD with initial version 1.1.1
Package: MiRNAQCD
Version: 1.1.1
Encoding: UTF-8
Date: 2021-02-08
Title: Micro-RNA Quality Control and Diagnosis
Description: A complete and dedicated analytical toolbox for quality control and diagnosis based on subject-related measurements of micro-RNA (miRNA) expressions. The package consists of a set of functions that allow to train, optimize and use a Bayesian classifier that relies on multiplets of measured miRNA expressions. The package also implements the quality control tools required to preprocess input datasets. In addition, the package provides a function to carry out a statistical analysis of miRNA expressions, which can give insights to improve the classifier's performance. The method implemented in the package was first introduced in L. Ricci, V. Del Vescovo, C. Cantaloni, M. Grasso, M. Barbareschi and M. A. Denti, "Statistical analysis of a Bayesian classifier based on the expression of miRNAs", BMC Bioinformatics 16:287, 2015 <doi:10.1186/s12859-015-0715-9>. The package is thoroughly described in M. Castelluzzo, A. Perinelli, S. Detassis, M. A. Denti and L. Ricci, "MiRNA-QC-and-Diagnosis: An R package for diagnosis based on MiRNA expression", SoftwareX 12:100569, 2020 <doi:10.1016/j.softx.2020.100569>. Please cite both these works if you use the package for your analysis. DISCLAIMER: The software in this package is for general research purposes only and is thus provided WITHOUT ANY WARRANTY. It is NOT intended to form the basis of clinical decisions. Please refer to the GNU General Public License 3.0 (GPLv3) for further information.
Authors@R: c( person("Michele", "Castelluzzo", email = "michele.castelluzzo@unitn.it", role = "aut"), person("Alessio", "Perinelli", email = "alessio.perinelli@unitn.it", role = "cre"), person("Simone", "Detassis", email = "simone.detassis@unitn.it", role = "aut"), person("Michela Alessandra", "Denti", email = "michela.denti@unitn.it", role = "aut"), person("Leonardo", "Ricci", email = "leonardo.ricci@unitn.it", role = "aut"))
Maintainer: Alessio Perinelli <alessio.perinelli@unitn.it>
License: GPL-3
RoxygenNote: 7.1.0
Imports: stats, utils, ggplot2, pROC
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-02-08 17:36:08 UTC; chaos
Author: Michele Castelluzzo [aut], Alessio Perinelli [cre], Simone Detassis [aut], Michela Alessandra Denti [aut], Leonardo Ricci [aut]
Repository: CRAN
Date/Publication: 2021-02-10 11:00:13 UTC

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New package mfbvar with initial version 0.5.6
Package: mfbvar
Type: Package
Title: Mixed-Frequency Bayesian VAR Models
Version: 0.5.6
Date: 2021-02-09
Authors@R: c( person("Sebastian", "Ankargren", email = "sebastian.ankargren@statistics.uu.se", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-4415-8734")), person("Yukai", "Yang", email = "yukai.yang@statistics.uu.se", role = c("aut"), comment=c(ORCID="0000-0002-2623-8549")), person("Gregor", "Kastner", role = "ctb", comment = c(ORCID="0000-0002-8237-8271")))
Description: Functions and tools for estimation of mixed-frequency Bayesian vector autoregressive (VAR) models. The package implements a state space-based VAR model that handles mixed frequencies of the data as proposed by Schorfheide and Song (2015) <doi:10.1080/07350015.2014.954707>, and extensions thereof developed by Ankargren, Unosson and Yang (2020) <doi:10.1515/jtse-2018-0034>, Ankargren and Joneus (2019) <arXiv:1912.02231>, and Ankargren and Joneus (2020) <doi:10.1016/j.ecosta.2020.05.007>. The models are estimated using Markov Chain Monte Carlo to numerically approximate the posterior distribution. Prior distributions that can be used include normal-inverse Wishart and normal-diffuse priors as well as steady-state priors. Stochastic volatility can be handled by common or factor stochastic volatility models.
License: GPL-3
LazyData: TRUE
URL: https://github.com/ankargren/mfbvar
BugReports: https://github.com/ankargren/mfbvar/issues
Imports: Rcpp (>= 0.12.7), ggplot2 (>= 3.3.0), methods, lubridate, GIGrvg, stochvol (>= 2.0.3), RcppParallel, dplyr, magrittr, tibble, zoo
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, stochvol (>= 2.0.3), RcppParallel
Depends: R (>= 3.5.0)
Suggests: testthat, covr, knitr, ggridges, alfred, factorstochvol
RoxygenNote: 7.1.1
Encoding: UTF-8
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-02-09 18:40:04 UTC; sebastianankargren
Author: Sebastian Ankargren [cre, aut] (<https://orcid.org/0000-0003-4415-8734>), Yukai Yang [aut] (<https://orcid.org/0000-0002-2623-8549>), Gregor Kastner [ctb] (<https://orcid.org/0000-0002-8237-8271>)
Maintainer: Sebastian Ankargren <sebastian.ankargren@statistics.uu.se>
Repository: CRAN
Date/Publication: 2021-02-10 11:00:06 UTC

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New package ipmr with initial version 0.0.1
Package: ipmr
Title: Fits Integral Projection Models Using an Expression Based Framework
Version: 0.0.1
Authors@R: c( person(given = "Sam", family = "Levin", role = c("aut", "cre"), email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")), person(given = "Aldo", family = "Compagnoni", email = "aldo.compagnoni@idiv.de", role = "aut"), person(given = "Dylan", family = "Childs", email = "d.childs@sheffield.ac.uk", role = "aut"), person(given = "Sanne", family = "Evers", email = "sanne.evers@idiv.de", role = "aut"), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut"), person(given = "Tiffany", family = "Knight", email = "tiffany.knight@idiv.de", role = "aut"))
Description: Flexibly implements Integral Projection Models using an expression based framework. This will not abstract away the model selection process, but it will make sure you get everything after that correct. It handles density dependence and environmental stochasticity, with a couple of options for implementing the latter. In addition, provides functions to avoid unintentional eviction of individuals from models. Additionally, provides model diagnostic tools, plotting functionality, stochastic/deterministic simulations, and analysis tools. Integral projection models are described in depth by Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. Williams et al. (2012) <doi:10.1890/11-2147.1> discuss the problem of unintentional eviction.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, lme4, mvtnorm, rmarkdown, roxygen2, spelling, testthat, covr
VignetteBuilder: knitr
Language: en-US
Imports: graphics, grDevices, magrittr, methods, purrr (>= 0.3.0), rlang (>= 0.3.0), stats, utils, Rcpp
Depends: R (>= 3.2.3)
RoxygenNote: 7.1.1
Config/testthat/parallel: true
Config/testthat/edition: 3
LinkingTo: Rcpp
URL: https://levisc8.github.io/ipmr/, https://github.com/levisc8/ipmr
BugReports: https://github.com/levisc8/ipmr/issues
NeedsCompilation: yes
Packaged: 2021-02-05 13:35:04 UTC; sl13sise
Author: Sam Levin [aut, cre] (<https://orcid.org/0000-0002-3289-9925>), Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut]
Maintainer: Sam Levin <levisc8@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-10 10:40:26 UTC

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Package ggmcmc updated to version 1.5.1.1 with previous version 1.5.0 dated 2020-08-29

Title: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description: Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables, and functions to work with hierarchical/multilevel batches of parameters (Fernández-i-Marín, 2016 <doi:10.18637/jss.v070.i09>).
Author: Xavier Fernández i Marín [aut, cre] (<https://orcid.org/0000-0002-9522-8870>)
Maintainer: Xavier Fernández i Marín <xavier.fim@gmail.com>

Diff between ggmcmc versions 1.5.0 dated 2020-08-29 and 1.5.1.1 dated 2021-02-10

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New package ggstar with initial version 1.0.1
Package: ggstar
Title: Star Layer for 'ggplot2'
Version: 1.0.1
Authors@R: person(given = "Shuangbin", family = "Xu", role = c("aut", "cre"), email = "xshuangbin@163.com", comment = c(ORCID="0000-0003-3513-5362"))
Description: To create the regular polygon layer for easily discernible shapes, we developed the package, it can be easily used if you know the 'ggplot2'.
Depends: R (>= 3.5)
Imports: grid, utils, ggplot2, scales, gridExtra
Suggests: knitr, markdown, rmarkdown, prettydoc
License: Artistic-2.0
Encoding: UTF-8
URL: https://github.com/xiangpin/ggstar/
BugReports: https://github.com/xiangpin/ggstar/issues
VignetteBuilder: knitr
LazyData: false
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-10 08:47:51 UTC; xushuangbin
Author: Shuangbin Xu [aut, cre] (<https://orcid.org/0000-0003-3513-5362>)
Maintainer: Shuangbin Xu <xshuangbin@163.com>
Repository: CRAN
Date/Publication: 2021-02-10 10:40:29 UTC

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Package DChaos updated to version 0.1-6 with previous version 0.1-5 dated 2020-05-10

Title: Chaotic Time Series Analysis
Description: Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.
Author: Julio E. Sandubete [aut, cre], Lorenzo Escot [aut]
Maintainer: Julio E. Sandubete <jsandube@ucm.es>

Diff between DChaos versions 0.1-5 dated 2020-05-10 and 0.1-6 dated 2021-02-10

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New package bayesefa with initial version 0.0.0.4
Package: bayesefa
Type: Package
Title: Bayesian Exploratory Factor
Version: 0.0.0.4
Date: 2021-02-05
Authors@R: c( person("Albert", "Man", email = "aman3@illinois.edu", role = c("aut") ), person("Steven Andrew", "Culpepper", email = "sculpepp@illinois.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4226-6176") ) )
Description: Exploratory Bayesian factor analysis of continuous, mixed-type, and bounded continuous variables using the mode-jumping algorithm of Man and Culpepper (2020) <doi:10.1080/01621459.2020.1773833>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.1), psych
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-02-05 20:36:15 UTC; steve
Author: Albert Man [aut], Steven Andrew Culpepper [aut, cre] (<https://orcid.org/0000-0003-4226-6176>)
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>
Repository: CRAN
Date/Publication: 2021-02-10 11:00:10 UTC

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New package AHPhybrid with initial version 0.1.0
Package: AHPhybrid
Type: Package
Title: AHP Hybrid Method
Version: 0.1.0
Authors@R: c(person("Miguel", "Angelo Lellis Moreira", role=c("aut", "cre"), email="miguellellis@hotmail.com"), person("Marcos", "dos Santos", role="aut", email="marcosdossantos_doutorado_uff@yahoo.com.br"), person("Carlos", "Francisco Simoes Gomes", role="aut", email="cfsg1@bol.com.br"), person("Claudio", "de Souza Rocha junior", role="aut", email="claudiodesouzarochajunior@gmail.com"))
Author: Miguel Angelo Lellis Moreira [aut, cre], Marcos dos Santos [aut], Carlos Francisco Simoes Gomes [aut], Claudio de Souza Rocha junior [aut]
Maintainer: Miguel Angelo Lellis Moreira <miguellellis@hotmail.com>
Description: The AHP method (Analytic Hierarchy Process) is a multi-criteria decision-making method addressing choice and outranking problems. The method enables to perform the analysis of alternatives in each type of criterion and then provides a global performance of each alternative in the decision context. The main difference of this package is the possibility of evaluating the alternatives using quantitative data, by numerical representation, and qualitative data, using the Saaty scale, providing preference relation between variables by a pairwise evaluation.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-02-05 13:09:48 UTC; migue
Repository: CRAN
Date/Publication: 2021-02-10 11:00:20 UTC

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Package wrassp updated to version 1.0.0 with previous version 0.1.9 dated 2020-02-15

Title: Interface to the 'ASSP' Library
Description: A wrapper around Michel Scheffers's 'libassp' (<http://libassp.sourceforge.net/>). The 'libassp' (Advanced Speech Signal Processor) library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of 'libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner.
Author: Raphael Winkelmann [aut, cre], Lasse Bombien [aut], Michel Scheffers [aut]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

Diff between wrassp versions 0.1.9 dated 2020-02-15 and 1.0.0 dated 2021-02-10

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Package stopwords updated to version 2.2 with previous version 2.1 dated 2020-12-08

Title: Multilingual Stopword Lists
Description: Provides multiple sources of stopwords, for use in text analysis and natural language processing.
Author: Kenneth Benoit [aut, cre], David Muhr [aut], Kohei Watanabe [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between stopwords versions 2.1 dated 2020-12-08 and 2.2 dated 2021-02-10

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Package dlookr (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:

2021-02-05 0.4.1
2021-01-27 0.4.0
2020-11-17 0.3.14
2020-01-09 0.3.13
2019-10-21 0.3.12
2019-08-19 0.3.11
2019-03-16 0.3.9
2019-02-10 0.3.8
2018-07-21 0.3.2
2018-04-27 0.3.0

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Package pkgnews (with last version 0.0.1) was removed from CRAN

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

2021-01-05 0.0.1

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Package alookr (with last version 0.3.2) was removed from CRAN

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

2020-06-07 0.3.2
2020-03-20 0.3.0

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Package EstimateGroupNetwork updated to version 0.3.1 with previous version 0.2.2 dated 2020-01-08

Title: Perform the Joint Graphical Lasso and Selects Tuning Parameters
Description: Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
Author: Giulio Costantini, Nils Kappelmann, Sacha Epskamp
Maintainer: Giulio Costantini <giulio.costantini@unimib.it>

Diff between EstimateGroupNetwork versions 0.2.2 dated 2020-01-08 and 0.3.1 dated 2021-02-10

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Package pbdZMQ updated to version 0.3-5 with previous version 0.3-4 dated 2020-12-13

Title: Programming with Big Data -- Interface to 'ZeroMQ'
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.2.2) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] (file transfer), George Ostrouchov [aut] (Mac OSX), Whit Armstrong [ctb] (some functions are modified from the rzmq package for backwards compatibility), Brian Ripley [ctb] (C code of shellexec, and Solaris), R Core team [ctb] (some functions are modified from the R source code), Philipp A. [ctb] (Fedora), Elliott Sales de Andrade [ctb] (sprintf), Spencer Aiello [ctb] (windows conf), Paul Andrey [ctb] (Mac OSX conf), Panagiotis Cheilaris [ctb] (add serialize version)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdZMQ versions 0.3-4 dated 2020-12-13 and 0.3-5 dated 2021-02-10

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Package mobr updated to version 2.0.2 with previous version 2.0.0 dated 2020-09-21

Title: Measurement of Biodiversity
Description: Functions for calculating metrics for the measurement biodiversity and its changes across scales, treatments, and gradients. The methods implemented in this package are described in: Chase, J.M., et al. (2018) <doi:10.1111/ele.13151>, McGlinn, D.J., et al. (2019) <doi:10.1111/2041-210X.13102>, and McGlinn, D.J., et al. (2021) <doi:10.1002/ecy.3233>.
Author: Daniel McGlinn [aut, cre], Xiao Xiao [aut], Brian McGill [aut], Felix May [aut], Thore Engel [aut], Caroline Oliver [aut], Shane Blowes [aut], Tiffany Knight [aut], Oliver Purschke [aut], Nicholas Gotelli [aut], Jon Chase [aut]
Maintainer: Daniel McGlinn <danmcglinn@gmail.com>

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Package gginnards updated to version 0.0.4 with previous version 0.0.3 dated 2019-11-26

Title: Explore the Innards of 'ggplot2' Objects
Description: Extensions to 'ggplot2' providing low-level debug tools: statistics and geometries echoing their data argument. Layer manipulation: deletion, insertion, extraction and reordering of layers. Deletion of unused variables from the data object embedded in "ggplot" objects.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package feature updated to version 1.2.15 with previous version 1.2.14 dated 2020-10-15

Title: Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Description: Local inferential feature significance for multivariate kernel density estimation.
Author: Tarn Duong [aut, cre], Matt Wand [aut]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

Diff between feature versions 1.2.14 dated 2020-10-15 and 1.2.15 dated 2021-02-10

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Package tsallisqexp updated to version 0.9-4 with previous version 0.9-3 dated 2018-08-07

Title: Tsallis q-Exp Distribution
Description: Tsallis distribution also known as the q-exponential family distribution. Provide distribution d, p, q, r functions, fitting and testing functions. Project initiated by Paul Higbie and based on Cosma Shalizi's code.
Author: Cosma Shalizi [aut] (original R code), Christophe Dutang [cre] (R code packaging)
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between tsallisqexp versions 0.9-3 dated 2018-08-07 and 0.9-4 dated 2021-02-10

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Package rbacon updated to version 2.5.1 with previous version 2.5.0 dated 2020-10-28

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino Lopez [aut], Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.5.0 dated 2020-10-28 and 2.5.1 dated 2021-02-10

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Package od updated to version 0.1.0 with previous version 0.0.1 dated 2020-09-09

Title: Manipulate and Map Origin-Destination Data
Description: The aim of 'od' is to provide tools and example datasets for working with origin-destination ('OD') datasets of the type used to describe aggregate urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>. The package builds on functions for working with 'OD' data in the package 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a focus on computational efficiency and support for the 'sf' class system (Pebesma 2018) <doi:10.32614/RJ-2018-009>. With few dependencies and a simple class system based on data frames, the package is intended to facilitate efficient analysis of 'OD' datasets and to provide a place for developing new functions. The package enables the creation and analysis of geographic entities representing large scale mobility patterns, from daily travel between zones in cities to migration between countries.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), David Cooley [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between od versions 0.0.1 dated 2020-09-09 and 0.1.0 dated 2021-02-10

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Package ecm updated to version 5.1.0 with previous version 5.0.0 dated 2020-08-27

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

Diff between ecm versions 5.0.0 dated 2020-08-27 and 5.1.0 dated 2021-02-10

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More information about ecm at CRAN
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