Thu, 10 Dec 2020

Package summarytools updated to version 0.9.8 with previous version 0.9.6 dated 2020-03-02

Title: Tools to Quickly and Neatly Summarize Data
Description: Data frame summaries, cross-tabulations, weight-enabled frequency tables and common descriptive (univariate) statistics in concise tables available in a variety of formats (plain ASCII, Markdown and HTML). A good point-of-entry for exploring data, both for experienced and new R users.
Author: Dominic Comtois [aut, cre]
Maintainer: Dominic Comtois <dominic.comtois@gmail.com>

Diff between summarytools versions 0.9.6 dated 2020-03-02 and 0.9.8 dated 2020-12-10

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Package pda updated to version 1.0-2 with previous version 1.0 dated 2020-11-23

Title: Privacy-Preserving Distributed Algorithms
Description: A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, or Poisson regression for count outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.
Author: Chongliang Luo [aut, cre], Rui Duan [aut], Mackenzie Edmondson [aut], Jiayi Tong [aut], Yong Chen [aut], Penn Computing Inference Learning (PennCIL) lab [cph]
Maintainer: Chongliang Luo <luocl3009@gmail.com>

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Package gridtext updated to version 0.1.4 with previous version 0.1.2 dated 2020-12-01

Title: Improved Text Rendering Support for 'Grid' Graphics
Description: Provides support for rendering of formatted text using 'grid' graphics. Text can be formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be rendered both with and without word wrap.
Author: Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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Package SPOT updated to version 2.1.10 with previous version 2.1.8 dated 2020-12-03

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model-based optimization and tuning of algorithms. It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre] (<https://orcid.org/0000-0002-5938-5158>), Joerg Stork [aut] (0000-0002-7471-3498), Martin Zaefferer [aut] (<https://orcid.org/0000-0003-2372-2092>), Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>)
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>

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Package chillR updated to version 0.72 with previous version 0.70.24 dated 2020-05-03

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi.org/10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi.org/10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, 'chillR' contains a function for interpolating hourly temperature records.
Author: Eike Luedeling [aut, cre]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

Diff between chillR versions 0.70.24 dated 2020-05-03 and 0.72 dated 2020-12-10

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More information about chillR at CRAN
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Package dendroTools updated to version 1.1.1 with previous version 1.0.9 dated 2020-10-30

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.0.9 dated 2020-10-30 and 1.1.1 dated 2020-12-10

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Package Luminescence updated to version 0.9.10 with previous version 0.9.9 dated 2020-11-29

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut], Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [ctb] (<https://orcid.org/0000-0002-6375-9108>), Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb] (<https://orcid.org/0000-0001-7146-1101>), Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Svenja Riedesel [aut] (<https://orcid.org/0000-0003-2936-8776>), Martin Autzen [aut] (<https://orcid.org/0000-0001-6249-426X>), Pierre Guibert [ctb] (<https://orcid.org/0000-0001-8969-8684>), Dirk Mittelstrass [aut], Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@aber.ac.uk>

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Package htmlwidgets updated to version 1.5.3 with previous version 1.5.2 dated 2020-10-03

Title: HTML Widgets for R
Description: A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web applications.
Author: Ramnath Vaidyanathan [aut, cph], Yihui Xie [aut], JJ Allaire [aut], Joe Cheng [aut], Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Kenton Russell [aut, cph], Ellis Hughes [ctb], RStudio [cph]
Maintainer: Carson Sievert <carson@rstudio.com>

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Package dynamo (with last version 1.0) was removed from CRAN

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2018-02-23 1.0

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2020-02-26 1.0-3

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2019-12-11 1.1.5
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2020-06-29 2.0.1

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2015-02-18 2.3.4

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2020-11-13 1.0.0
2020-02-12 0.4.3
2019-11-14 0.4.2
2019-07-19 0.4.1
2019-03-25 0.4.0
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2018-02-16 0.3.5
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Package svcm (with last version 0.1.2) was removed from CRAN

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2009-06-14 0.1.2
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2019-03-25 0.1.1
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Package dominanceanalysis (with last version 1.3.0) was removed from CRAN

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2019-01-16 2.10
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Package REAT (with last version 3.0.2) was removed from CRAN

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2019-11-21 3.0.2
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2018-11-16 2.1.1
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Package ROMIplot (with last version 1.0) was removed from CRAN

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Package udpipe updated to version 0.8.5 with previous version 0.8.4-1 dated 2020-10-12

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns) sentiment scoring and semantic similarity analysis.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Straková [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.8.4-1 dated 2020-10-12 and 0.8.5 dated 2020-12-10

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Package segmented updated to version 1.3-1 with previous version 1.3-0 dated 2020-10-27

Title: Regression Models with Break-Points / Change-Points Estimation
Description: Given a regression model, segmented `updates' it by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package RLumCarlo updated to version 0.1.7 with previous version 0.1.6 dated 2020-07-05

Title: Monte-Carlo Methods for Simulating Luminescence Phenomena
Description: A collection of functions to simulate luminescence production in dosimetric materials using Monte Carlo methods. Implemented are models for delocalised transitions (e.g., Chen and McKeever (1997) <doi:10.1142/2781>), localised transitions (e.g., Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>) and tunnelling transitions (Jain et al. (2012) <doi:10.1088/0953-8984/24/38/385402> and Pagonis et al. (2019) <doi:10.1016/j.jlumin.2018.11.024>). Supported stimulation methods are thermal luminescence (TL), continuous-wave optically stimulated luminescence (CW-OSL), linearly-modulated optically stimulated luminescence (LM-OSL), linearly-modulated infrared stimulated luminescence (LM-IRSL), and isothermal luminescence (ITL or ISO-TL).
Author: Johannes Friedrich [aut, trl] (<https://orcid.org/0000-0002-0805-9547>), Sebastian Kreutzer [aut, trl, cre] (<https://orcid.org/0000-0002-0734-2199>), Vasilis Pagonis [aut] (<https://orcid.org/0000-0002-4852-9312>), Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Christian Laag [ctb] (<https://orcid.org/0000-0002-6012-1029>), Ena Rajovic [ctb], Alex Roy Duncan [ctb]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@aber.ac.uk>

Diff between RLumCarlo versions 0.1.6 dated 2020-07-05 and 0.1.7 dated 2020-12-10

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Package r2mlm updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-25

Title: R-Squared Measures for Multilevel Models
Description: Generates both total- and level-specific R-squared measures from Rights and Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a completely full decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>).
Author: Mairead Shaw [aut, cre], Jason Rights [aut], Sonya Sterba [aut], Jessica Flake [aut]
Maintainer: Mairead Shaw <mairead.shaw@mail.mcgill.ca>

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Package GFD updated to version 0.2.9 with previous version 0.2.8 dated 2020-09-30

Title: Tests for General Factorial Designs
Description: Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@med.uni-goettingen.de>

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New package RVA with initial version 0.0.3
Package: RVA
Title: RNAseq Visualization Automation
Version: 0.0.3
Authors@R: person(given = "Xingpeng", family = "Li", role = c("aut", "cre"), email = "xingpeng.li@pfizer.com", comment = c(ORCID = "0000-0002-1331-1225"))
Description: Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.
Maintainer: Xingpeng Li <xingpeng.li@pfizer.com>
URL: https://github.com/THERMOSTATS/RVA
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
biocViews:
Imports: GSVAdata (>= 1.22.0), clusterProfiler (>= 3.14.3), data.table (>= 1.12.8), edgeR (>= 3.28.1), org.Hs.eg.db (>= 3.10.0), ComplexHeatmap (>= 2.2.0), GSEABase (>= 1.48.0), circlize (>= 0.4.10), dplyr (>= 1.0.0), ggplot2 (>= 3.3.2), ggpubr (>= 0.4.0), grid (>= 3.6.1), gridExtra (>= 2.3), haven (>= 2.3.1), msigdbr (>= 7.1.1), plotly (>= 4.9.2.1), purrr (>= 0.3.4), rWikiPathways (>= 1.6.1), stringr (>= 1.4.0), tibble, tidyr (>= 1.1.0), XML, rlang
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-12-09 15:06:22 UTC; LIX410
Author: Xingpeng Li [aut, cre] (<https://orcid.org/0000-0002-1331-1225>)
Repository: CRAN
Date/Publication: 2020-12-10 15:50:12 UTC

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New package RPPASPACE with initial version 1.0.7
Package: RPPASPACE
Version: 1.0.7
Date: 2020-12-09
Title: Reverse-Phase Protein Array Super Position and Concentration Evaluation
Authors@R: c(person(given = "James M.", family = "Melott", role = c("aut", "cre"), email = "jmmelott@mdanderson.org" ), person(given = "Paul", family = "Roebuck", role = c("aut") ), person(given = "Kevin R.", family = "Coombes", role = c("aut") ), person(given = "Shannon", family = "Neeley", role = c("aut") ), person(given = "Corwin", family = "Joy", role = c("aut") ), person(given = "Jianhua", family = "Hu", role = c("aut") ), person(given = "Keith", family = "Baggerly", role = c("aut") ))
Maintainer: James M. Melott <jmmelott@mdanderson.org>
Description: Provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as "tissue lysate arrays" or simply "lysate arrays". The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package named SuperCurve. For a detailed description of data inputs and outputs, usage information, and a list of related papers describing methods used in the package please review the vignette "Guide_to_RPPASPACE". Hu (2007) <doi:10.1093/bioinformatics/btm283>.
Depends: R (>= 3.50), methods, doParallel, foreach, parallel, iterators
Imports: utils, grDevices, graphics, stats, MASS, cobs, imager, bmp, jpeg, tiff, png, splines, robustbase, mgcv, quantreg
Suggests: timeDate, boot, knitr, rmarkdown
NeedsCompilation: no
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/MD-Anderson-Bioinformatics/rppaspace
License: Artistic-2.0
Copyright: file inst/COPYRIGHTS
LazyLoad: yes
Encoding: UTF-8
Packaged: 2020-12-09 15:01:51 UTC; JMMelott
Author: James M. Melott [aut, cre], Paul Roebuck [aut], Kevin R. Coombes [aut], Shannon Neeley [aut], Corwin Joy [aut], Jianhua Hu [aut], Keith Baggerly [aut]
Repository: CRAN
Date/Publication: 2020-12-10 15:50:16 UTC

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Package multivariance updated to version 2.4.0 with previous version 2.3.0 dated 2020-04-23

Title: Measuring Multivariate Dependence Using Distance Multivariance
Description: Distance multivariance is a measure of dependence which can be used to detect and quantify dependence of arbitrarily many random vectors. The necessary functions are implemented in this packages and examples are given. It includes: distance multivariance, distance multicorrelation, dependence structure detection, tests of independence and copula versions of distance multivariance based on the Monte Carlo empirical transform. Detailed references are given in the package description, as starting point for the theoretic background we refer to: B. Böttcher, Dependence and Dependence Structures: Estimation and Visualization Using the Unifying Concept of Distance Multivariance. Open Statistics, Vol. 1, No. 1 (2020), <doi:10.1515/stat-2020-0001>.
Author: Björn Böttcher [aut, cre], Martin Keller-Ressel [ctb]
Maintainer: Björn Böttcher <bjoern.boettcher@tu-dresden.de>

Diff between multivariance versions 2.3.0 dated 2020-04-23 and 2.4.0 dated 2020-12-10

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New package motifr with initial version 1.0.0
Package: motifr
Title: Motif Analysis in Multi-Level Networks
Version: 1.0.0
Date: 2020-12-01
Authors@R: c(person(given = "Mario", family = "Angst", role = c("aut", "cre"), email = "mario.angst@gmail.com", comment = c(ORCID = "0000-0002-8297-9827")), person(given = "Tim", family = "Seppelt", role = "aut", email = "seppelt@cs.rwth-aachen.de", comment = c(ORCID = "0000-0002-6447-0568")))
Description: Tools for motif analysis in multi-level networks. Multi-level networks combine multiple networks in one, e.g. social-ecological networks. Motifs are small configurations of nodes and edges (subgraphs) occurring in networks. 'motifr' can visualize multi-level networks, count multi-level network motifs and compare motif occurrences to baseline models. It also identifies contributions of existing or potential edges to motifs to find critical or missing edges. The package is in many parts an R wrapper for the excellent 'SESMotifAnalyser' 'Python' package written by Tim Seppelt.
License: MIT + file LICENSE
URL: https://marioangst.github.io/motifr/
BugReports: https://github.com/marioangst/motifr/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2 (>= 2.1.0), ggraph, igraph, intergraph, network, purrr, RColorBrewer, reshape2, reticulate, rlang, scales, tibble, tidygraph
Suggests: ergm, knitr, pkgdown, rmarkdown, shiny, testthat (>= 2.1.0)
VignetteBuilder: knitr
Config/reticulate: list( packages = list( list(package = "sma", pip = TRUE), list(package = "networkx", pip = TRUE) ) )
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.1.1
SystemRequirements: Python (>= 3.0.0), numpy, pandas
NeedsCompilation: no
Packaged: 2020-12-09 10:45:48 UTC; Mario
Author: Mario Angst [aut, cre] (<https://orcid.org/0000-0002-8297-9827>), Tim Seppelt [aut] (<https://orcid.org/0000-0002-6447-0568>)
Maintainer: Mario Angst <mario.angst@gmail.com>
Repository: CRAN
Date/Publication: 2020-12-10 15:40:02 UTC

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Package isotree updated to version 0.1.24 with previous version 0.1.20 dated 2020-10-13

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package Deriv updated to version 4.1.2 with previous version 4.1.1 dated 2020-10-26

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] (<https://orcid.org/0000-0002-5674-3327>), Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package d3Tree updated to version 0.2.2 with previous version 0.2.0 dated 2017-06-13

Title: Create Interactive Collapsible Trees with the JavaScript 'D3' Library
Description: Create and customize interactive collapsible 'D3' trees using the 'D3' JavaScript library and the 'htmlwidgets' package. These trees can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents. When in Shiny the tree layout is observed by the server and can be used as a reactive filter of structured data.
Author: Jonathan Sidi [aut, cre], Kenton Russell [ctb] (https://github.com/timelyportfolio)
Maintainer: Jonathan Sidi <yonicd@gmail.com>

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Package coveffectsplot updated to version 0.0.9.1 with previous version 0.0.9 dated 2020-04-03

Title: Produce Forest Plots to Visualize Covariate Effects
Description: Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
Author: Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>), Dean Attali [ctb]
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>

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Package clusrank updated to version 1.0-0 with previous version 0.6-2 dated 2018-08-11

Title: Wilcoxon Rank Tests for Clustered Data
Description: Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data documented in Jiang et. al (2020) <doi:10.18637/jss.v096.i06>.
Author: Yujing Jiang [aut], Mei-Ling Ting Lee [ctb], Jun Yan [ctb, cre]
Maintainer: Jun Yan <jun.yan@uconn.edu>

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Package texPreview updated to version 1.5 with previous version 1.4.6 dated 2020-09-18

Title: Compile and Preview Snippets of 'LaTeX'
Description: Compile snippets of 'LaTeX' directly into images from the R console to view in the 'RStudio' viewer pane, Shiny apps and 'RMarkdown' documents.
Author: Jonathan Sidi [aut, cre], Daniel Polhamus [aut]
Maintainer: Jonathan Sidi <yonicd@gmail.com>

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Package genoPlotR updated to version 0.8.10 with previous version 0.8.9 dated 2019-01-25

Title: Plot Publication-Grade Gene and Genome Maps
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or PDF files that can be sent as such to journals.
Author: Lionel Guy <lionel.guy@imbim.uu.se>
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>

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Package BTYDplus (with last version 1.0.1) was removed from CRAN

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

2020-12-09 1.0.1

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Package RoBMA updated to version 1.1.2 with previous version 1.1.1 dated 2020-11-10

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models (assuming either presence or absence of the effect, heterogeneity, and publication bias) and using Bayesian model averaging to combine them. The ensembles use Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect) and model-averages parameter estimates based on posterior model probabilities (Maier, Bartoš & Wagenmakers, 2020, <doi:10.31234/osf.io/u4cns>). The user can define a wide range of non-informative or informative priors for the effect size, heterogeneity, and weight functions. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>), Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>), Eric-Jan Wagenmakers [ths] (<https://orcid.org/0000-0003-1596-1034>), Joris Goosen [ctb]
Maintainer: František Bartoš <f.bartos96@gmail.com>

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Package surveysd updated to version 1.3.0 with previous version 1.2.0 dated 2020-02-05

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

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More information about surveysd at CRAN
Permanent link

Package nlme updated to version 3.1-151 with previous version 3.1-150 dated 2020-10-24

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), Johannes Ranke [ctb] (varConstProp()), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

Diff between nlme versions 3.1-150 dated 2020-10-24 and 3.1-151 dated 2020-12-10

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New package rjpdmp with initial version 0.1.0
Package: rjpdmp
Type: Package
Title: Reversible Jump PDMP Samplers
Version: 0.1.0
Author: Matt Sutton, Augustin Chevalier, Paul Fearnhead, with PolyaGamma simulation code contributed from Jesse Windle and James G. Scott (<https://github.com/jgscott/helloPG>)
Maintainer: Matt Sutton <matt.sutton.stat@gmail.com>
Description: Provides an implementation of the reversible jump piecewise deterministic Markov processes (PDMPs) methods developed in the paper Reversible Jump PDMP Samplers for Variable Selection (Chevallier, Fearnhead, Sutton 2020, <arXiv:2010.11771>). It also contains an implementation of a Gibbs sampler for variable selection in Logistic regression based on Polya-Gamma augmentation.
License: GPL (>= 2)
RoxygenNote: 7.1.1
Encoding: UTF-8
LazyData: true
Imports: data.table, Rcpp (>= 0.12.3)
Suggests: MASS
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-12-09 10:10:47 UTC; matth
Repository: CRAN
Date/Publication: 2020-12-10 09:20:02 UTC

More information about rjpdmp at CRAN
Permanent link

New package opentimsr with initial version 1.0.2
Encoding: UTF-8
Package: opentimsr
Type: Package
Title: An Open-Source Loader for Bruker's timsTOF Data Files
Version: 1.0.2
Date: 2020-11-30
Authors@R: c(person(given="Michał Piotr", family="Startek", role=c("aut","cre","cph"), email="michal.startek@mimuw.edu.pl", comment=c(ORCID="0000-0001-5227-3447")), person(given="Mateusz Krzysztof", family="Łącki", role=c("aut","cph"), comment=c(ORCID="0000-0001-7415-4748")) )
Maintainer: Michał Piotr Startek <michal.startek@mimuw.edu.pl>
Description: A free, open-source package designed for handling .tdf data files produced by Bruker's 'timsTOF' mass spectrometers, as described <https://www.bruker.com/service/support-upgrades/software-downloads/mass-spectrometry.html> (after registering). Fast, free, crossplatform, with no reading through EULAs or messing with binary .dll files involved.
License: GPL-3
URL: https://github.com/michalsta/opentims
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.0), methods, DBI, RSQLite
LazyData: no
LinkingTo: Rcpp
NeedsCompilation: yes
SystemRequirements: C++14
RoxygenNote: 7.1.1
Packaged: 2020-12-08 18:17:57 UTC; mist
Author: Michał Piotr Startek [aut, cre, cph] (<https://orcid.org/0000-0001-5227-3447>), Mateusz Krzysztof Łącki [aut, cph] (<https://orcid.org/0000-0001-7415-4748>)
Repository: CRAN
Date/Publication: 2020-12-10 09:10:02 UTC

More information about opentimsr at CRAN
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Package mboost updated to version 2.9-4 with previous version 2.9-3 dated 2020-08-06

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in \doi{10.1214/07-STS242}, a hands-on tutorial is available from \doi{10.1007/s00180-012-0382-5}. The package allows user-specified loss functions and base-learners.
Author: Torsten Hothorn [cre, aut] (<https://orcid.org/0000-0001-8301-0471>), Peter Buehlmann [aut] (<https://orcid.org/0000-0002-1782-6015>), Thomas Kneib [aut] (<https://orcid.org/0000-0003-3390-0972>), Matthias Schmid [aut] (<https://orcid.org/0000-0002-0788-0317>), Benjamin Hofner [aut] (<https://orcid.org/0000-0003-2810-3186>), Fabian Otto-Sobotka [ctb] (<https://orcid.org/0000-0002-9874-1311>), Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>), Andreas Mayr [ctb] (<https://orcid.org/0000-0001-7106-9732>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mboost versions 2.9-3 dated 2020-08-06 and 2.9-4 dated 2020-12-10

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More information about mboost at CRAN
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New package logmult with initial version 0.7.3
Package: logmult
Type: Package
Title: Log-Multiplicative Models, Including Association Models
Version: 0.7.3
Date: 2020-12-09
Authors@R: c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr", role=c("aut", "cre")), person("Heather", "Turner", email="ht@heatherturner.net", role="ctb"), person("Michael", "Friendly", email="friendly@yorku.ca", role="ctb"), person("Jim", "Lemon", email="jim@bitwrit.com.au", role="cph"), person("Gabor", "Csardi", email="csardi@rmki.kfki.hu", role="cph"))
Imports: stats, utils, graphics, grDevices, qvcalc
Depends: gnm (>= 1.0-5)
Suggests: survey (>= 3.34), boot, ellipse, parallel, knitr, rmarkdown
Description: Functions to fit log-multiplicative models using 'gnm', with support for convenient printing, plots, and jackknife/bootstrap standard errors. For complex survey data, models can be fitted from design objects from the 'survey' package. Currently supported models include UNIDIFF (Erikson & Goldthorpe), a.k.a. log-multiplicative layer effect model (Xie), and several association models: Goodman's row-column association models of the RC(M) and RC(M)-L families with one or several dimensions; two skew-symmetric association models proposed by Yamaguchi and by van der Heijden & Mooijaart. Functions allow computing the intrinsic association coefficient (and therefore the Altham index), including via the Bayes shrinkage estimator proposed by Zhou; and the RAS/IPF/Deming-Stephan algorithm.
License: GPL (>= 2)
URL: https://github.com/nalimilan/logmult
BugReports: https://github.com/nalimilan/logmult/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-09 11:02:16 UTC; milan
Author: Milan Bouchet-Valat [aut, cre], Heather Turner [ctb], Michael Friendly [ctb], Jim Lemon [cph], Gabor Csardi [cph]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>
Repository: CRAN
Date/Publication: 2020-12-10 09:10:05 UTC

More information about logmult at CRAN
Permanent link

Package latentgraph updated to version 1.1 with previous version 1.0 dated 2020-12-02

Title: Graphical Models with Latent Variables
Description: Three methods are provided to estimate graphical models with latent variables: (1) Jin, Y., Ning, Y., and Tan, K. M. (2020) (preprint available); (2) Chandrasekaran, V., Parrilo, P. A. & Willsky, A. S. (2012) <doi:10.1214/11-AOS949>; (3) Tan, K. M., Ning, Y., Witten, D. M. & Liu, H. (2016) <doi:10.1093/biomet/asw050>.
Author: Yanxin Jin, Samantha Yang, Kean Ming Tan
Maintainer: Yanxin Jin <yanxinj@umich.edu>

Diff between latentgraph versions 1.0 dated 2020-12-02 and 1.1 dated 2020-12-10

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More information about latentgraph at CRAN
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New package comparator with initial version 0.1.1
Package: comparator
Type: Package
Title: Comparison Functions for Clustering and Record Linkage
Version: 0.1.1
Date: 2020-12-09
Authors@R: c( person(given = "Neil", family = "Marchant", email = "ngmarchant@gmail.com", role = c("aut", "cre")))
Maintainer: Neil Marchant <ngmarchant@gmail.com>
Description: Implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5), proxy (>= 0.4), methods, clue (>= 0.3)
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Encoding: UTF-8
URL: https://github.com/ngmarchant/comparator
BugReports: https://github.com/ngmarchant/comparator/issues
Collate: 'Comparator.R' 'CppSeqComparator.R' 'PairwiseMatrix.R' 'SequenceComparator.R' 'StringComparator.R' 'BinaryComp.R' 'NumericComparator.R' 'Chebyshev.R' 'Constant.R' 'Levenshtein.R' 'DamerauLevenshtein.R' 'Minkowski.R' 'Euclidean.R' 'FuzzyTokenSet.R' 'Hamming.R' 'InVocabulary.R' 'Jaro.R' 'JaroWinkler.R' 'LCS.R' 'Lookup.R' 'Manhattan.R' 'TokenComparator.R' 'MongeElkan.R' 'OSA.R' 'RcppExports.R' 'generalized_mean.R' 'strcompr-package.R' 'util.R'
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-12-09 09:09:32 UTC; nmarchant
Author: Neil Marchant [aut, cre]
Repository: CRAN
Date/Publication: 2020-12-10 09:10:12 UTC

More information about comparator at CRAN
Permanent link

Package usethis updated to version 2.0.0 with previous version 1.6.3 dated 2020-09-17

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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Package IRISMustangMetrics updated to version 2.4.3 with previous version 2.4.2 dated 2020-10-01

Title: Statistics and Metrics for Seismic Data
Description: Classes and functions for metrics calculation as part of the 'IRIS DMC MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

Diff between IRISMustangMetrics versions 2.4.2 dated 2020-10-01 and 2.4.3 dated 2020-12-10

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Package gggenes updated to version 0.4.1 with previous version 0.4.0 dated 2019-06-24

Title: Draw Gene Arrow Maps in 'ggplot2'
Description: Provides a 'ggplot2' geom and helper functions for drawing gene arrow maps.
Author: David Wilkins [aut, cre], Zachary Kurtz [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package future updated to version 1.21.0 with previous version 1.20.1 dated 2020-11-03

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 1.20.1 dated 2020-11-03 and 1.21.0 dated 2020-12-10

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New package EstimDiagnostics with initial version 0.0.1
Package: EstimDiagnostics
Type: Package
Title: Diagnostic Tools and Unit Tests for Statistical Estimators
Authors@R: person("Dmitry", "Otryakhin", email = "d.otryakhin.acad@protonmail.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4700-7221"))
Version: 0.0.1
Author: Dmitry Otryakhin [aut, cre] (<https://orcid.org/0000-0002-4700-7221>)
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>
Description: Extension of 'testthat' package to make unit tests on empirical distributions of estimators and functions for diagnostics of their finite-sample performance.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: foreach (>= 1.5.1), reshape2 (>= 1.4.4), ggplot2 (>= 3.3.2), goftest (>= 1.2-2), testthat (>= 3.0.0), rlang
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-07 14:34:32 UTC; dmot8856
Repository: CRAN
Date/Publication: 2020-12-10 09:00:14 UTC

More information about EstimDiagnostics at CRAN
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Package Corbi updated to version 0.6-1 with previous version 0.6-0 dated 2020-06-13

Title: Collection of Rudimentary Bioinformatics Tools
Description: Provides a bundle of basic and fundamental bioinformatics tools, such as network querying and alignment, subnetwork extraction and search, network biomarker identification.
Author: Ling-Yun Wu [aut, cre], Qiang Huang [aut], Duanchen Sun [aut]
Maintainer: Ling-Yun Wu <wulingyun@gmail.com>

Diff between Corbi versions 0.6-0 dated 2020-06-13 and 0.6-1 dated 2020-12-10

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Permanent link

New package doc2vec with initial version 0.1.0
Package: doc2vec
Type: Package
Title: Distributed Representations of Sentences and Documents
Version: 0.1.0
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), person('BNOSAC', role = 'cph', comment = "R wrapper"), person('hiyijian', role = c('ctb', 'cph'), comment = "Code in src/doc2vec"))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Description: Learn vector representations of sentences, paragraphs or documents by using the 'Paragraph Vector' algorithms, namely the distributed bag of words ('PV-DBOW') and the distributed memory ('PV-DM') model. The techniques in the package are detailed in the paper "Distributed Representations of Sentences and Documents" by Mikolov et al. (2014), available at <arXiv:1405.4053>.
URL: https://github.com/bnosac/doc2vec
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5), stats
LinkingTo: Rcpp
Suggests: tokenizers.bpe, udpipe (>= 0.8.4)
NeedsCompilation: yes
Packaged: 2020-12-08 15:54:08 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), hiyijian [ctb, cph] (Code in src/doc2vec)
Repository: CRAN
Date/Publication: 2020-12-10 09:00:08 UTC

More information about doc2vec at CRAN
Permanent link

Package cmstatr updated to version 0.7.1 with previous version 0.7.0 dated 2020-07-13

Title: Statistical Methods for Composite Material Data
Description: An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).
Author: Stefan Kloppenborg [aut, cre], Billy Cheng [ctb], Ally Fraser [ctb]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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 man/transform_mod_cv.Rd                                    |  254 
 tests/figs/deps.txt                                        |    6 
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 tests/figs/plotting/stat-normal-surv-func-and-stat-esf.svg | 2538 ++++----
 tests/figs/plotting/stat-normal-surv-func.svg              |  120 
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 tests/testthat/test-adk.R                                  |  431 -
 tests/testthat/test-adtest.R                               |  516 -
 tests/testthat/test-basis.R                                | 3700 ++++++-------
 tests/testthat/test-checks.R                               |  134 
 tests/testthat/test-cv.R                                   |   18 
 tests/testthat/test-equiv.R                                |  904 +--
 tests/testthat/test-levene.R                               |  426 -
 tests/testthat/test-lintr.R                                |   18 
 tests/testthat/test-mnr.R                                  |  804 +-
 tests/testthat/test-normalize.R                            |  312 -
 tests/testthat/test-plotting.R                             |   82 
 tests/testthat/test-verifytidy.R                           |   98 
 tests/testthat/test-workflow.R                             | 1416 ++--
 vignettes/adktest.Rmd                                      |  160 
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 vignettes/cmstatr_Graphing.Rmd                             |  667 +-
 vignettes/cmstatr_Tutorial.Rmd                             |  893 +--
 vignettes/ieee.csl                                         |  706 +-
 85 files changed, 17182 insertions(+), 17018 deletions(-)

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New package bibliometrixData with initial version 0.1.0
Package: bibliometrixData
Title: Bibliometrix Example Datasets
Version: 0.1.0
Authors@R: person(given = "Massimo", family = "Aria", role = c("aut", "cre"), email = "massimo.aria@gmail.com", comment = c(ORCID = "0000-0002-8517-9411"))
Description: It contains some example datasets used in 'bibliometrix'. The data are bibliographic datasets exported from the 'SCOPUS' (<https://scopus.com>) and 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>) databases. They can be used to test the different features of the package 'bibliometrix' (<https://bibliometrix.org>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.3.0)
Suggests: bibliometrix
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-08 17:39:33 UTC; massimoaria
Author: Massimo Aria [aut, cre] (<https://orcid.org/0000-0002-8517-9411>)
Maintainer: Massimo Aria <massimo.aria@gmail.com>
Repository: CRAN
Date/Publication: 2020-12-10 09:00:12 UTC

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Package jwutil (with last version 1.2.3) was removed from CRAN

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

2019-05-06 1.2.3
2018-06-11 1.2.1
2016-10-18 1.1.1

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Package briskaR (with last version 1.0.1) was removed from CRAN

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2020-11-30 1.0.1
2020-09-15 1.0.0
2018-06-07 0.1.2
2017-09-04 0.1.1
2016-10-11 0.1.0

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Package catsim (with last version 0.2.1) was removed from CRAN

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

2020-05-06 0.2.1
2020-04-28 0.2.0

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Package mssm (with last version 0.1.3) was removed from CRAN

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2019-11-06 0.1.3

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

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2020-10-16 0.1.1

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