Fri, 29 Oct 2021

Package dang updated to version 0.0.15 with previous version 0.0.14 dated 2021-10-17

Title: 'Dang' Associated New Goodies
Description: A collection of utility functions.
Author: Dirk Eddelbuettel with contributions by Brodie Gaslam, Kevin Denny, Kabira Namit, Colin Gillespie, R Core, Josh Ulrich, Jordan Mark Barbone, and others.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between dang versions 0.0.14 dated 2021-10-17 and 0.0.15 dated 2021-10-29

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Package crayon updated to version 1.4.2 with previous version 1.4.1 dated 2021-02-08

Title: Colored Terminal Output
Description: Colored terminal output on terminals that support 'ANSI' color and highlight codes. It also works in 'Emacs' 'ESS'. 'ANSI' color support is automatically detected. Colors and highlighting can be combined and nested. New styles can also be created easily. This package was inspired by the 'chalk' 'JavaScript' project.
Author: Gábor Csárdi [aut, cre], Brodie Gaslam [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between crayon versions 1.4.1 dated 2021-02-08 and 1.4.2 dated 2021-10-29

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Package bnclassify updated to version 0.4.6 with previous version 0.4.5 dated 2020-03-12

Title: Learning Discrete Bayesian Network Classifiers from Data
Description: State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <boki.mihaljevic@gmail.com>

Diff between bnclassify versions 0.4.5 dated 2020-03-12 and 0.4.6 dated 2021-10-29

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New package stats19 with initial version 2.0.0
Package: stats19
Title: Work with Open Road Traffic Casualty Data from Great Britain
Version: 2.0.0
Description: Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The data are provided as 'CSV' files with detailed road safety data about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979, the types (including make and model) of vehicles involved and the consequential casualties. The statistics relate only to personal casualties on public roads that are reported to the police, and subsequently recorded, using the 'STATS19' accident reporting form. See the Department for Transport website <https://data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these data.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://github.com/ropensci/stats19, https://docs.ropensci.org/stats19/
BugReports: https://github.com/ropensci/stats19/issues
Encoding: UTF-8
LazyData: true
Imports: sf, readr, tools
Suggests: curl (>= 3.2), dplyr, ggplot2, knitr, lubridate, rmarkdown, stringr, testthat (>= 2.1.0), tidyr, pkgdown, kableExtra, leaflet, geojsonsf, htmltools, tmap, jsonlite, pct, spatstat.core, spatstat.geom, spatstat, osmdata, covr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-10-25 08:56:56 UTC; robin
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>), Mark Padgham [aut] (<https://orcid.org/0000-0003-2172-5265>), David Ranzolin [rev], Adam Sparks [rev, ctb] (<https://orcid.org/0000-0002-0061-8359>), Ivo Wengraf [ctb], RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-29 22:50:03 UTC

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New package skyscapeR with initial version 1.0.0
Package: skyscapeR
Title: Data Analysis and Visualization for Skyscape Archaeology
Version: 1.0.0
Date: 2021-10-29
Description: Data reduction, visualization and statistical analysis of measurements of orientation of archaeological structures, following Silva (2020) <doi:10.1016/j.jas.2020.105138>.
Depends: R (>= 4.1), swephR
Imports: png, oce, utils, stats, graphics, grDevices, MESS, RColorBrewer, numDeriv, parallel, foreach, doParallel, rootSolve, httr, plotrix, zoo
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-10-29 12:42:08 UTC; fabpsilva
Author: Silva Fabio [aut, cre], Reijs Victor [ctb]
Maintainer: Silva Fabio <fsilva@bournemouth.ac.uk>
Repository: CRAN
Date/Publication: 2021-10-29 22:40:02 UTC

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New package robcp with initial version 0.3.3
Package: robcp
Title: Robust Change-Point Tests
Version: 0.3.3
Description: Provides robust methods to detect change-points in uni- or multivariate time series. They can cope with corrupted data and heavy tails. Focus is on the detection of abrupt changes in location, but changes scale or dependence structure can be detected as well. This package provides tests for change detection in uni- and multivariate time series based on Huberized versions of CUSUM tests proposed in Duerre and Fried (2019) <arXiv:1905.06201>. Furthermore, robcp provides tests for change detection in univariate time series based on 2-sample U-statistics or 2-sample U-quantiles as proposed by Dehling et al. (2015) <DOI:10.1007/978-1-4939-3076-0_12> and Dehling, Fried and Wendler (2020) <DOI:10.1093/biomet/asaa004>.
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2021-10-26 08:57:43 UTC; goerz
Author: Sheila Goerz [aut, cre], Alexander Duerre [aut]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>
Imports: methods, Rcpp
LinkingTo: Rcpp
Suggests: testthat, MASS, pracma, mvtnorm
Repository: CRAN
Date/Publication: 2021-10-29 22:50:06 UTC

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New package prioritizr with initial version 7.1.1
Package: prioritizr
Version: 7.1.1
Title: Systematic Conservation Prioritization in R
Description: Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Additionally, the 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to generate solutions using the CBC optimization software (<https://projects.coin-or.org/Cbc>).
Imports: utils, methods, assertthat (>= 0.2.0), data.table, uuid, Matrix, slam (>= 0.1-48), igraph, ape, rgeos, plyr, parallel, doParallel, magrittr, fasterize (>= 1.0.2), exactextractr (>= 0.2.0), tibble (>= 2.0.0), withr (>= 2.3.0)
Suggests: testthat, knitr, roxygen2, scales, RandomFields, maptools, PBSmapping, gurobi, rcbc (>= 0.1.0.9001), cplexAPI (>= 1.4.0), lpsymphony, Rsymphony, rmarkdown, prioritizrdata (>= 0.2.4)
Depends: R (>= 3.5.0), raster, sp, sf (>= 0.8-0), proto
LinkingTo: Rcpp, RcppArmadillo (>= 0.10.1.0.0), BH
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
SystemRequirements: C++11
URL: https://prioritizr.net, https://github.com/prioritizr/prioritizr
BugReports: https://github.com/prioritizr/prioritizr/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-10-26 22:52:43 UTC; richard
Author: Jeffrey O Hanson [aut] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut, cre] (<https://orcid.org/0000-0003-3191-7869>), Nina Morrell [aut], Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Brandon P M Edwards [aut] (<https://orcid.org/0000-0003-0865-3076>), Matthew E Watts [aut], Peter Arcese [aut] (<https://orcid.org/0000-0002-8097-482X>), Joseph Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>), Hugh P Possingham [aut] (<https://orcid.org/0000-0001-7755-996X>)
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>
Repository: CRAN
Date/Publication: 2021-10-29 22:50:09 UTC

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Package FORTLS updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-25

Title: Automatic Processing of TLS Point Cloud Data for Forestry Purposes
Description: Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand level and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2020, <doi:10.3390/IECF2020-08066>).
Author: Juan Alberto Molina-Valero [aut, cph, cre], María José Ginzo Villamayor [aut, com], Manuel Antonio Novo Pérez [aut, com], Adela Martínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <juanalberto.molina.valero@usc.es>

Diff between FORTLS versions 1.0.4 dated 2021-10-25 and 1.0.5 dated 2021-10-29

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New package cancensus with initial version 0.4.8
Package: cancensus
Title: Access, Retrieve, and Work with Canadian Census Data and Geography
Version: 0.4.8
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 2001; 2006; 2011; 2016).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: yes
ByteCompile: yes
NeedsCompilation: no
Imports: digest (>= 0.1), dplyr (>= 0.7), httr (>= 1.0.0), jsonlite (>= 1.0), rlang
Suggests: knitr, ggplot2, leaflet, mapdeck, rmarkdown, readr, rgdal, rgeos, scales, sp, sf, geojsonsf, tidyr, lwgeom
VignetteBuilder: knitr
URL: https://github.com/mountainMath/cancensus, https://mountainmath.github.io/cancensus/, https://censusmapper.ca/api
BugReports: https://github.com/mountainMath/cancensus/issues
Depends: R (>= 2.10)
Packaged: 2021-10-28 14:55:00 UTC; dmitry.shkolnik
Author: Jens von Bergmann [aut] (API creator and maintainer), Dmitry Shkolnik [aut, cre] (Package maintainer, responsible for correspondence), Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-29 22:30:02 UTC

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Package rEMM updated to version 1.1.0 with previous version 1.0-11 dated 2015-07-24

Title: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Author: Michael Hahsler [aut, cre, cph], Margaret H. Dunham [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between rEMM versions 1.0-11 dated 2015-07-24 and 1.1.0 dated 2021-10-29

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Package quincunx updated to version 0.1.2 with previous version 0.1.1 dated 2021-10-08

Title: REST API Client for the 'PGS' Catalog
Description: Programmatic access to the 'PGS' Catalog. This package provides easy access to 'PGS' Catalog data by accessing the REST API <https://www.pgscatalog.org/rest/>.
Author: Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>), Isabel Duarte [aut] (<https://orcid.org/0000-0003-0060-2936>), Ana-Teresa Maia [aut] (<https://orcid.org/0000-0002-0454-9207>), CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>

Diff between quincunx versions 0.1.1 dated 2021-10-08 and 0.1.2 dated 2021-10-29

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Package PAFit updated to version 1.2.1 with previous version 1.1.0.4 dated 2021-07-22

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe@gmail.com>

Diff between PAFit versions 1.1.0.4 dated 2021-07-22 and 1.2.1 dated 2021-10-29

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Package desplot updated to version 1.9 with previous version 1.8 dated 2020-10-21

Title: Plotting Field Plans for Agricultural Experiments
Description: A function for plotting maps of agricultural field experiments that are laid out in grids.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between desplot versions 1.8 dated 2020-10-21 and 1.9 dated 2021-10-29

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Package conquer updated to version 1.2.0 with previous version 1.0.2 dated 2020-08-27

Title: Convolution-Type Smoothed Quantile Regression
Description: Estimation and inference for conditional linear quantile regression models using a convolution smoothed approach. In the low-dimensional setting, efficient gradient-based methods are employed for fitting both a single model and a regression process over a quantile range. Normal-based and (multiplier) bootstrap confidence intervals for all slope coefficients are constructed. In high dimensions, the conquer methods complemented with l_1-penalization and iteratively reweighted l_1-penalization are used to fit sparse models.
Author: Xuming He [aut], Xiaoou Pan [aut, cre], Kean Ming Tan [aut], Wen-Xin Zhou [aut]
Maintainer: Xiaoou Pan <xip024@ucsd.edu>

Diff between conquer versions 1.0.2 dated 2020-08-27 and 1.2.0 dated 2021-10-29

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Package spsUtil updated to version 0.2.1 with previous version 0.2.0 dated 2021-08-11

Title: 'systemPipeShiny' Utility Functions
Description: The systemPipeShiny (SPS) framework comes with many useful utility functions. However, installing the whole framework is heavy and takes some time. If you like only a few useful utility functions from SPS, install this package is enough.
Author: Le Zhang [aut, cre]
Maintainer: Le Zhang <lezhang100@gmail.com>

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Package pcaL1 updated to version 1.5.5 with previous version 1.5.4 dated 2020-02-11

Title: L1-Norm PCA Methods
Description: Implementations of several methods for principal component analysis using the L1 norm. The package depends on COIN-OR Clp version >= 1.17.4. The methods implemented are PCA-L1 (Kwak 2008) <DOI:10.1109/TPAMI.2008.114>, L1-PCA (Ke and Kanade 2003, 2005) <DOI:10.1109/CVPR.2005.309>, L1-PCA* (Brooks, Dula, and Boone 2013) <DOI:10.1016/j.csda.2012.11.007>, L1-PCAhp (Visentin, Prestwich and Armagan 2016) <DOI:10.1007/978-3-319-46227-1_37>, wPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, awPCA (Park and Klabjan 2016) <DOI: 10.1109/ICDM.2016.0054>, PCA-Lp (Kwak 2014) <DOI:10.1109/TCYB.2013.2262936>, and SharpEl1-PCA (Brooks and Dula, submitted).
Author: Sapan Jot <sapan.madaan@gmail.com>, Paul Brooks <jpbrooks@vcu.edu>, Andrea Visentin <andrea.visentin@insight-centre.org>, Young Woong Park <ywpark@mail.smu.edu>, and Yi-Hui Zhou <yihui_zhou@ncsu.edu>
Maintainer: Paul Brooks <jpbrooks@vcu.edu>

Diff between pcaL1 versions 1.5.4 dated 2020-02-11 and 1.5.5 dated 2021-10-29

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Package PKNCA updated to version 0.9.5 with previous version 0.9.4 dated 2020-06-01

Title: Perform Pharmacokinetic Non-Compartmental Analysis
Description: Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.
Author: Bill Denney [aut, cre] (<https://orcid.org/0000-0002-5759-428X>), Clare Buckeridge [aut], Sridhar Duvvuri [ctb]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

Diff between PKNCA versions 0.9.4 dated 2020-06-01 and 0.9.5 dated 2021-10-29

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Package MatrixExtra updated to version 0.1.8 with previous version 0.1.7 dated 2021-09-26

Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'mapSparse' or a shorter 'show' method.
Author: David Cortes [aut, cre, cph], Dmitry Selivanov [cph], Thibaut Goetghebuer-Planchon [cph] (Copyright holder of included robinmap library), Martin Maechler [cph] (Copyright holder of 'Matrix' package from which some code was taken)
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package labelled updated to version 2.9.0 with previous version 2.8.0 dated 2021-03-08

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], François Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package downlit updated to version 0.4.0 with previous version 0.2.1 dated 2020-11-04

Title: Syntax Highlighting and Automatic Linking
Description: Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pkgdown', 'hugodown', and 'bookdown'. It includes linking of function calls to their documentation on the web, and automatic translation of ANSI escapes in output to the equivalent HTML.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package outliertree updated to version 1.7.6-1 with previous version 1.7.6 dated 2021-09-25

Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Outlier detection method that flags suspicious values within observations, constrasting them against the normal values in a user-readable format, potentially describing conditions within the data that make a given outlier more rare. Full procedure is described in Cortes (2020) <arXiv:2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package zen4R updated to version 0.5-1 with previous version 0.5 dated 2021-09-15

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

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Package fda updated to version 5.5.0 with previous version 5.4.0 dated 2021-09-28

Title: Functional Data Analysis
Description: These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from <https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.
Author: J. O. Ramsay <ramsay@psych.mcgill.ca> [aut,cre], Spencer Graves <spencer.graves@effectivedefense.org> [ctb], Giles Hooker <gjh27@cornell.edu> [ctb]
Maintainer: J. O. Ramsay <ramsay@psych.mcgill.ca>

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Package hockeyR (with last version 0.1.1) was removed from CRAN

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

2021-10-15 0.1.1
2021-09-20 0.1.0

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Package likelihoodR updated to version 1.0.6 with previous version 1.0.5 dated 2021-10-13

Title: Likelihood Analyses for Common Statistical Tests
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).
Author: Peter Cahusac [aut, cre] (<https://orcid.org/0000-0003-4976-2834>)
Maintainer: Peter Cahusac <peteqsac@gmail.com>

Diff between likelihoodR versions 1.0.5 dated 2021-10-13 and 1.0.6 dated 2021-10-29

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Package ff updated to version 4.0.5 with previous version 4.0.4 dated 2020-10-13

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf class not unlike data.frames and import/export filters for csv files. ff objects store raw data in binary flat files in native encoding, and complement this with metadata stored in R as physical and virtual attributes. ff objects have well-defined hybrid copying semantics, which gives rise to certain performance improvements through virtualization. ff objects can be stored and reopened across R sessions. ff files can be shared by multiple ff R objects (using different data en/de-coding schemes) in the same process or from multiple R processes to exploit parallelism. A wide choice of finalizer options allows to work with 'permanent' files as well as creating/removing 'temporary' ff files completely transparent to the user. On certain OS/Filesystem combinations, creating the ff files works without notable delay thanks to using sparse file allocation. Several access optimization techniques such as Hybrid Index Preprocessing and Virtualization are implemented to achieve good performance even with large datasets, for example virtual matrix transpose without touching a single byte on disk. Further, to reduce disk I/O, 'logicals' and non-standard data types get stored native and compact on binary flat files i.e. logicals take up exactly 2 bits to represent TRUE, FALSE and NA. Beyond basic access functions, the ff package also provides compatibility functions that facilitate writing code for ff and ram objects and support for batch processing on ff objects (e.g. as.ram, as.ff, ffapply). ff interfaces closely with functionality from package 'bit': chunked looping, fast bit operations and coercions between different objects that can store subscript information ('bit', 'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows to work interactively with selections of large datasets and quickly modify selection criteria. Further high-performance enhancements can be made available upon request.
Author: Daniel Adler [aut], Christian Gläser [aut], Oleg Nenadic [aut], Jens Oehlschlägel [aut, cre], Martijn Schuemie [aut], Walter Zucchini [aut]
Maintainer: Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>

Diff between ff versions 4.0.4 dated 2020-10-13 and 4.0.5 dated 2021-10-29

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Package fdm2id updated to version 0.9.6 with previous version 0.9.5 dated 2021-01-04

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>

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Package minidown updated to version 0.3.0 with previous version 0.2.0 dated 2021-09-06

Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'. Powerful features include table of contents floating as a sidebar, folding codes and results, and more.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Susam Pal [aut] (spcss), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

Diff between minidown versions 0.2.0 dated 2021-09-06 and 0.3.0 dated 2021-10-29

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Package tidyBdE updated to version 0.2.2 with previous version 0.2.1 dated 2021-10-07

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>, rOpenSpain)
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

Diff between tidyBdE versions 0.2.1 dated 2021-10-07 and 0.2.2 dated 2021-10-29

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Package immunarch updated to version 0.6.7 with previous version 0.6.6 dated 2021-07-07

Title: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
Description: A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). It implements most of the widely used AIRR analysis methods, such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor databases and clonotype tracking in vaccination and cancer studies. A successor to our previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.
Author: Vadim I. Nazarov [aut, cre], Vasily O. Tsvetkov [aut], Eugene Rumynskiy [aut], Aleksandr A. Popov [aut], Ivan Balashov [aut], Anna Lorenc [ctb], Daniel J. Moore [ctb], Victor Greiff [ctb], ImmunoMind [cph, fnd]
Maintainer: Vadim I. Nazarov <support@immunomind.io>

Diff between immunarch versions 0.6.6 dated 2021-07-07 and 0.6.7 dated 2021-10-29

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Package KernelKnn updated to version 1.1.4 with previous version 1.1.3 dated 2021-09-29

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Matthew Parks [ctb] (Github Contributor)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between KernelKnn versions 1.1.3 dated 2021-09-29 and 1.1.4 dated 2021-10-29

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 MD5                                                           |   18 -
 NEWS.md                                                       |    5 
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 R/kernelknn.R                                                 |   38 +--
 README.md                                                     |    3 
 build/vignette.rds                                            |binary
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New package tableExtra with initial version 1.0.1
Package: tableExtra
Title: Draws an Awesome Table
Version: 1.0.1
Description: An easy-to-use tool for drawing paper-quality tables with double-information encoded in grobs shapes and colors.
License: Apache License (>= 2.0)
Encoding: UTF-8
Suggests: testthat, dplyr, tibble
Depends: R (>= 3.5.0)
Imports: gtable, grid
NeedsCompilation: no
Packaged: 2021-10-28 14:19:10 UTC; ypradat
Author: Yoann Pradat [aut, cre]
Maintainer: Yoann Pradat <yoann.pradat@centralesupelec.fr>
Repository: CRAN
Date/Publication: 2021-10-29 09:10:02 UTC

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New package starvars with initial version 1.1.8
Package: starvars
Title: Vector Logistic Smooth Transition Models Estimation and Prediction
Version: 1.1.8
Description: Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, <doi:10.1108/S0731-9053(2013)0000031008>). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, <doi:10.1016/S0304-405X(01)00055-1>).
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: MASS, ks, zoo, doSNOW, foreach, methods, matrixcalc, optimParallel, parallel, vars, xts, lessR, quantmod
URL: https://github.com/andbucci/starvars
NeedsCompilation: no
Packaged: 2021-10-28 09:47:37 UTC; andre
Author: Andrea Bucci [aut, cre, cph], Giulio Palomba [aut], Eduardo Rossi [aut], Andrea Faragalli [ctb]
Maintainer: Andrea Bucci <andrea.bucci@unich.it>
Repository: CRAN
Date/Publication: 2021-10-29 08:30:02 UTC

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New package popEpi with initial version 0.4.9
Package: popEpi
Title: Functions for Epidemiological Analysis using Population Data
Author: Joonas Miettinen [cre, aut] (<https://orcid.org/0000-0001-8624-6754>), Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>
Version: 0.4.9
Language: en-GB
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Depends: R (>= 3.2.0)
Imports: Epi (>= 2.0), survival, data.table (>= 1.10.4)
Suggests: reshape2, methods, testthat, knitr, rmarkdown, relsurv, ggplot2, mstate, date, splines, roxygen2, covr
Encoding: UTF-8
License: GPL-3
LazyData: true
ByteCompile: true
VignetteBuilder: knitr
URL: https://github.com/WetRobot/popEpi
BugReports: https://github.com/WetRobot/popEpi/issues
NeedsCompilation: no
Packaged: 2021-10-28 09:36:53 UTC; jonttu
Repository: CRAN
Date/Publication: 2021-10-29 08:20:02 UTC

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New package pedmod with initial version 0.1.0
Package: pedmod
Title: Pedigree Models
Version: 0.1.0
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Description: Provides functions to estimate mixed probit models using, for instance, pedigree data like in <doi:10.1002/sim.1603>. The models are also commonly called liability threshold models. The approximation is based on direct log marginal likelihood approximations like the randomized Quasi-Monte Carlo suggested by <doi:10.1198/106186002394> with a similar procedure to approximate the derivatives. Graph-based methods are also provided that can be used to simplify pedigrees.
License: GPL-2
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, BH, testthat
Imports: Rcpp
Suggests: testthat, mvtnorm, xml2, knitr, rmarkdown, R.rsp, abind, kinship2, igraph
Depends: R (>= 3.5.0)
VignetteBuilder: R.rsp
SystemRequirements: C++14
NeedsCompilation: yes
Packaged: 2021-10-28 12:05:02 UTC; boennecd
Author: Benjamin Christoffersen [cre, aut], Alan Genz [cph], Frank Bretz [cph], Bjoern Bornkamp [cph], Torsten Hothorn [cph], Christophe Dutang [cph], Diethelm Wuertz [cph], R-core [cph]
Repository: CRAN
Date/Publication: 2021-10-29 08:50:02 UTC

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Package pbdZMQ updated to version 0.3-6 with previous version 0.3-5 dated 2021-02-10

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 0.3-5 dated 2021-02-10 and 0.3-6 dated 2021-10-29

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Package gpx updated to version 1.0.1 with previous version 1.0.0 dated 2021-10-25

Title: Process GPX Files into R Data Structures
Description: Process open standard GPX files into data.frames for further use and analysis in R.
Author: Mark Ewing [aut, cre]
Maintainer: Mark Ewing <b.mark@ewingsonline.com>

Diff between gpx versions 1.0.0 dated 2021-10-25 and 1.0.1 dated 2021-10-29

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New package cmpsR with initial version 0.1.0
Package: cmpsR
Title: R Implementation of Congruent Matching Profile Segments Method
Version: 0.1.0
Description: This is an open-source implementation of the Congruent Matching Profile Segments (CMPS) method (Chen et al. 2019)<doi:10.1016/j.forsciint.2019.109964>. In general, it can be used for objective comparison of striated tool marks, and in our examples, we specifically use it for bullet signatures comparisons. The CMPS score is expected to be large if two signatures are similar. So it can also be considered as a feature that measures the similarity of two bullet signatures.
Imports: assertthat (>= 0.2.0), dplyr (>= 1.0.5), rlang (>= 0.4.5), ggplot2 (>= 3.3.0)
Suggests: purrr, tidyverse, ggpubr, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-10-28 05:30:20 UTC; willju
Author: Wangqian Ju [aut, cre] (<https://orcid.org/0000-0002-9977-377X>), Heike Hofmann [ctb] (<https://orcid.org/0000-0001-6216-5183>)
Maintainer: Wangqian Ju <wju@iastate.edu>
Repository: CRAN
Date/Publication: 2021-10-29 08:50:09 UTC

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New package makepipe with initial version 0.0.4
Package: makepipe
Title: Pipeline Tools Inspired by 'GNU Make'
Version: 0.0.4
Description: A suite of tools for transforming an existing workflow into a self-documenting pipeline with very minimal upfront costs. Segments of the pipeline are specified in much the same way a 'Make' rule is, by declaring an executable recipe (which might be an R script), along with the corresponding targets and dependencies. When the entire pipeline is run through, only those recipes that need to be executed will be. Meanwhile, execution metadata is captured behind the scenes for later inspection.
License: GPL (>= 3)
URL: https://kinto-b.github.io/makepipe/, https://github.com/kinto-b/makepipe
BugReports: https://github.com/kinto-b/makepipe/issues
Imports: cli, R6, utils, visNetwork
Suggests: covr, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-10-28 02:03:55 UTC; kinto
Author: Kinto Behr [aut, cre, cph]
Maintainer: Kinto Behr <kinto.behr@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-29 08:00:02 UTC

More information about makepipe at CRAN
Permanent link

Package Directional updated to version 5.1 with previous version 5.0 dated 2021-05-26

Title: A Collection of R Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872-2>.
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package scTenifoldNet updated to version 1.3 with previous version 1.2.4 dated 2020-11-17

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs. See <doi:10.1016/j.patter.2020.100139> for more details.
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <dcosorioh@utexas.edu>

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Package rtsdata updated to version 0.1.3 with previous version 0.1.2 dated 2020-01-24

Title: R Time Series Intelligent Data Storage
Description: A tool that allows to download and save historical time series data for future use offline. The intelligent updating functionality will only download the new available information; thus, saving you time and Internet bandwidth. It will only re-download the full data-set if any inconsistencies are detected. This package supports following data provides: 'Yahoo' (<https://finance.yahoo.com>), 'FRED' (<https://fred.stlouisfed.org>), 'Quandl' (<https://data.nasdaq.com>), 'AlphaVantage' (<https://www.alphavantage.co>), 'Tiingo' (<https://www.tiingo.com>).
Author: RTSVizTeam [aut, cph], Irina Kapler [cre]
Maintainer: Irina Kapler <irkapler@gmail.com>

Diff between rtsdata versions 0.1.2 dated 2020-01-24 and 0.1.3 dated 2021-10-29

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Package LexFindR updated to version 1.0.2 with previous version 1.0.1 dated 2021-08-21

Title: Find Related Items and Lexical Dimensions in a Lexicon
Description: Implements code to identify lexical competitors in a given list of words. We include many of the standard competitor types used in spoken word recognition research, such as functions to find cohorts, neighbors, and rhymes, amongst many others. The package includes documentation for using a variety of lexicon files, including those with form codes made up of multiple letters (i.e., phoneme codes) and also basic orthographies. Importantly, the code makes use of multiple CPU cores and vectorization when possible, making it extremely fast and able to handle large lexicons. Additionally, the package contains documentation for users to easily write new functions, allowing researchers to examine other relationships within a lexicon. Preprint: <https://psyarxiv.com/8dyru/>. Open access: <https://link.springer.com/epdf/10.3758/s13428-021-01667-6?sharing_token=9WlO9soCc9y0uSuwWSUYfJAH0g46feNdnc402WrhzyrdKcK8uzZx_hDEtgbYzn3gvxdG5Cuj0j0cC4lVMFBqYCGTQmE2blN2Gwo74LJ8ro1pEOAYDRFy6Lhf1nc719vD-zU7GDvKOQxDAwPbrisvPBeXSIu0NkqXF7Jx3IuUwIs%3D>. Citation: Li, Z., Crinnion, A.M. & Magnuson, J.S. (2021). <doi:10.3758/s13428-021-01667-6>.
Author: ZhaoBin Li [aut, cre], Anne Marie Crinnion [aut], James S. Magnuson [aut, cph]
Maintainer: ZhaoBin Li <bzilplj@gmail.com>

Diff between LexFindR versions 1.0.1 dated 2021-08-21 and 1.0.2 dated 2021-10-29

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Package joint.Cox updated to version 3.15 with previous version 3.14 dated 2021-07-03

Title: Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
Description: Fit survival data and perform dynamic prediction under joint frailty-copula models for tumour progression and death. Likelihood-based methods are employed for estimating model parameters, where the baseline hazard functions are modeled by the cubic M-spline or the Weibull model. The methods are applicable for meta-analytic data containing individual-patient information from several studies. Survival outcomes need information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression). Methodologies were published in Emura et al. (2017) <doi:10.1177/0962280215604510>, Emura et al. (2018) <doi:10.1177/0962280216688032>, Emura et al. (2020) <doi:10.1177/0962280219892295>, Shinohara et al. (2020) <doi:10.1080/03610918.2020.1855449>, Wu et al. (2020) <doi:10.1007/s00180-020-00977-1>, and Emura et al. (2021) <doi:10.1177/09622802211046390>. See also the book of Emura et al. (2019) <doi:10.1007/978-981-13-3516-7>. Survival data from ovarian cancer patients are also available.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package datazoom.amazonia updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-07

Title: Simplify Access to Data from the Amazon Region
Description: Functions to download and treat data regarding the Brazilian Amazon region from a variety of official sources.
Author: DataZoom (PUC-Rio) [aut, cre], Francisco de Lima Cavalcanti [aut], Guilherme Jardim [aut], Daniel AC Barbosa [aut], Bruno Alcantara Duarte [aut], Fredie Didier [aut], Tito Bruni [aut], Victor Aliende da Matta [aut], Anna Carolina Dutra Saraiva [aut], Arthur Carvalho Brito [aut], Igor Rigolon Veiga [aut], Maria Mittelbach [aut]
Maintainer: DataZoom (PUC-Rio) <datazoom@econ.puc-rio.br>

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Package clock updated to version 0.5.0 with previous version 0.4.1 dated 2021-09-21

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between clock versions 0.4.1 dated 2021-09-21 and 0.5.0 dated 2021-10-29

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Package sigminer updated to version 2.1.1 with previous version 2.1.0 dated 2021-09-22

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2020) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Ziyu Tao [aut] (<https://orcid.org/0000-0003-3272-1227>), Huimin Li [aut] (<https://orcid.org/0000-0003-1683-9057>), Tao Wu [aut] (<https://orcid.org/0000-0002-8999-9628>), Xue-Song Liu [aut, ctb] (<https://orcid.org/0000-0002-7736-0077>), Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package rtsplot updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-29

Title: Time Series Plot
Description: A fast and elegant time series visualization package. In addition to the standard R plot types, this package supports candle sticks, open-high-low-close, and volume plots. Useful for visualizing any time series data, e.g., stock prices and technical indicators.
Author: RTSVizTeam [aut, cph], Irina Kapler [cre]
Maintainer: Irina Kapler <irkapler@gmail.com>

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Package qra updated to version 0.2.7 with previous version 0.2.6 dated 2021-10-17

Title: Quantal Response Analysis for Dose-Mortality Data
Description: Functions are provided that implement the use of the Fieller's formula methodology, for calculating a confidence interval for a ratio of (commonly, correlated) means. See Fieller (1954) <doi:10.1111/j.2517-6161.1954.tb00159.x>. Here, the application of primary interest is to studies of insect mortality response to increasing doses of a fumigant, or, e.g., to time in coolstorage. The formula is used to calculate a confidence interval for the dose or time required to achieve a specified mortality proportion, commonly 0.5 or 0.99. Vignettes demonstrate link functions that may be considered, checks on fitted models, and alternative choices of error family. Note in particular the betabinomial error family. See also Maindonald, Waddell, and Petry (2001) <doi:10.1016/S0925-5214(01)00082-5>.
Author: John Maindonald [aut, cre] (<https://orcid.org/0000-0002-0106-9224>)
Maintainer: John Maindonald <john@statsresearch.co.nz>

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Package ggquiver updated to version 0.3.0 with previous version 0.2.0 dated 2019-02-05

Title: Quiver Plots for 'ggplot2'
Description: An extension of 'ggplot2' to provide quiver plots to visualise vector fields. This functionality is implemented using a geom to produce a new graphical layer, which allows aesthetic options. This layer can be overlaid on a map to improve visualisation of mapped data.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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