Wed, 22 May 2019

Package UpSetR updated to version 1.4.0 with previous version 1.3.3 dated 2017-03-21

Title: A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Description: Creates visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks (Conway 2017) <doi:10.1093/bioinformatics/btx364>.
Author: Jake Conway [cre], Nils Gehlenborg [aut]
Maintainer: Jake Conway <jake_conway@hms.harvard.edu>

Diff between UpSetR versions 1.3.3 dated 2017-03-21 and 1.4.0 dated 2019-05-22

 DESCRIPTION                      |   12 ++--
 MD5                              |   52 ++++++++---------
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Package TSP updated to version 1.1-7 with previous version 1.1-6 dated 2018-04-30

Title: Traveling Salesperson Problem (TSP)
Description: Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately.
Author: Michael Hahsler [aut, cre, cph], Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between TSP versions 1.1-6 dated 2018-04-30 and 1.1-7 dated 2019-05-22

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 14 files changed, 128 insertions(+), 124 deletions(-)

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Package seqDesign updated to version 1.2 with previous version 1.1 dated 2015-04-27

Title: Simulation and Group Sequential Monitoring of Randomized Two-Stage Treatment Efficacy Trials with Time-to-Event Endpoints
Description: A modification of the preventive vaccine efficacy trial design of Gilbert, Grove et al. (2011, Statistical Communications in Infectious Diseases) is implemented, with application generally to individual-randomized clinical trials with multiple active treatment groups and a shared control group, and a study endpoint that is a time-to-event endpoint subject to right-censoring. The design accounts for the issues that the efficacy of the treatment/vaccine groups may take time to accrue while the multiple treatment administrations/vaccinations are given; there is interest in assessing the durability of treatment efficacy over time; and group sequential monitoring of each treatment group for potential harm, non-efficacy/efficacy futility, and high efficacy is warranted. The design divides the trial into two stages of time periods, where each treatment is first evaluated for efficacy in the first stage of follow-up, and, if and only if it shows significant treatment efficacy in stage one, it is evaluated for longer-term durability of efficacy in stage two. The package produces plots and tables describing operating characteristics of a specified design including an unconditional power for intention-to-treat and per-protocol/as-treated analyses; trial duration; probabilities of the different possible trial monitoring outcomes (e.g., stopping early for non-efficacy); unconditional power for comparing treatment efficacies; and distributions of numbers of endpoint events occurring after the treatments/vaccinations are given, useful as input parameters for the design of studies of the association of biomarkers with a clinical outcome (surrogate endpoint problem). The code can be used for a single active treatment versus control design and for a single-stage design.
Author: Michal Juraska [aut, cre], Doug Grove [aut], Xuesong Yu [ctb], Peter Gilbert [ctb], Stephanie Wu [ctb]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

Diff between seqDesign versions 1.1 dated 2015-04-27 and 1.2 dated 2019-05-22

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 20 files changed, 5971 insertions(+), 4161 deletions(-)

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Package rmarkdown updated to version 1.13 with previous version 1.12 dated 2019-03-14

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Jeff Allen [ctb], Barret Schloerke [ctb], Roy Storey [ctb], Rob Hyndman [ctb], Ruben Arslan [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Christophe Dervieux [ctb], Malcolm Barrett [ctb], RStudio, Inc. [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 1.12 dated 2019-03-14 and 1.13 dated 2019-05-22

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Package RcppParallel updated to version 4.4.3 with previous version 4.4.2 dated 2018-12-11

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 4.4.2 dated 2018-12-11 and 4.4.3 dated 2019-05-22

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 8 files changed, 26 insertions(+), 47 deletions(-)

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New package bib2df with initial version 1.1.1
Package: bib2df
Type: Package
Title: Parse a BibTeX File to a Data Frame
Version: 1.1.1
Authors@R: c(person("Philipp", "Ottolinger", email = "philipp@ottolinger.de", role = c("aut", "cre")), person("Thomas", "Leeper", email = "thosjleeper@gmail.com", role = "ctb"), person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = "ctb"), person("Paul", "Egeler", email = "paulegeler@gmail.com", role = "ctb"), person("Emilio Xavier", "Esposito", email = "emilio.esposito@gmail.com", role = "ctb"))
Description: Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.
URL: https://github.com/ropensci/bib2df
BugReports: http://github.com/ropensci/bib2df/issues
License: GPL-3
LazyData: TRUE
Imports: dplyr, stringr, humaniformat, httr
Suggests: testthat, knitr, rmarkdown, ggplot2, tidyr
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-22 20:54:58 UTC; philipp
Author: Philipp Ottolinger [aut, cre], Thomas Leeper [ctb], Maëlle Salmon [ctb], Paul Egeler [ctb], Emilio Xavier Esposito [ctb]
Maintainer: Philipp Ottolinger <philipp@ottolinger.de>
Repository: CRAN
Date/Publication: 2019-05-22 22:15:15 UTC

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Package pvaluefunctions updated to version 1.1.0 with previous version 1.0.0 dated 2019-05-08

Title: Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; and Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>.
Author: Denis Infanger [aut, cre] (<https://orcid.org/0000-0001-9028-7110>)
Maintainer: Denis Infanger <denis.infanger@unibas.ch>

Diff between pvaluefunctions versions 1.0.0 dated 2019-05-08 and 1.1.0 dated 2019-05-22

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Package tidyRSS updated to version 1.2.11 with previous version 1.2.10 dated 2019-05-14

Title: Tidy RSS for R
Description: With the objective of including data from RSS feeds into your analysis, 'tidyRSS' parses RSS, Atom XML, JSON and geoRSS feeds and returns a tidy data frame.
Author: Robert Myles McDonnell
Maintainer: Robert Myles McDonnell <robertmylesmcdonnell@gmail.com>

Diff between tidyRSS versions 1.2.10 dated 2019-05-14 and 1.2.11 dated 2019-05-22

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Package cgmanalysis updated to version 2.4 with previous version 2.3 dated 2019-03-26

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom' (<https://www.dexcom.com>), 'iPro 2' (<http://professional.medtronicdiabetes.com/ipro2-professional-cgm>), Diasend (<https://diasend.com//us>), Libre (<https://www.freestylelibre.us/>) or Carelink (<https://www.medtronicdiabetes.com/products/carelink-personal-diabetes-software>) data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload ("--1" is added to each subject ID automatically for double data entry). cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <tim.b.vigers@gmail.com>

Diff between cgmanalysis versions 2.3 dated 2019-03-26 and 2.4 dated 2019-05-22

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 3 files changed, 9 insertions(+), 7 deletions(-)

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Package regsem updated to version 1.3.9 with previous version 1.3.8 dated 2019-05-07

Title: Regularized Structural Equation Modeling
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. Also contains a function to perform exploratory mediation (XMed).
Author: Ross Jacobucci[aut,cre], Kevin J. Grimm [ctb], Andreas M. Brandmaier [ctb], Sarfaraz Serang [ctb], Rogier A. Kievit [ctb], Florian Scharf [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

Diff between regsem versions 1.3.8 dated 2019-05-07 and 1.3.9 dated 2019-05-22

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New package refGenome with initial version 1.7.7
Package: refGenome
Type: Package
Title: Gene and Splice Site Annotation Using Annotation Data from 'Ensembl' and 'UCSC' Genome Browsers
Version: 1.7.7
Date: 2019-04-24
Authors@R: c(person("Wolfgang", "Kaisers", role=c("aut", "cre"), email="wolfgang.kaisers@gmail.com"))
Description: Contains functionalities for importing and managing downloaded genome annotation data from 'Ensembl' genome browser (European Bioinformatics Institute, <https://www.ensembl.org>) and from 'UCSC' genome browser (University of California, Santa Cruz, <https://genome.ucsc.edu/>) and annotation routines for genomic positions and splice site positions.
License: GPL-2
Depends: methods,doBy,RSQLite
Imports: DBI
Collate: refGenome.R geneModel.R
Packaged: 2019-04-25 19:04:52 UTC; wolfgang
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2019-05-22 17:10:09 UTC
Author: Wolfgang Kaisers [aut, cre]
Maintainer: ORPHANED
X-CRAN-Original-Maintainer: Wolfgang Kaisers <wolfgang.kaisers@gmail.com>

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New package TCA with initial version 1.0.0
Package: TCA
Type: Package
Title: Tensor Composition Analysis
Version: 1.0.0
Authors@R: person("Elior", "Rahmani", email = "elior.rahmani@gmail.com", role = c("aut", "cre"))
Author: Elior Rahmani [aut, cre]
Maintainer: Elior Rahmani <elior.rahmani@gmail.com>
Description: Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of sources into a three-dimensional matrix of signals (features by observations by sources). TCA further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects (TCA regression); particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a tensor of cell-type-specific methylation levels for each individual (methylation sites by individuals by cell types) and it allows to detect cell-type-specific relations (associations) with an outcome of interest. For more details see Rahmani et al. (2018) <DOI:10.1101/437368>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: config, data.table, futile.logger, gmodels, Matrix, matrixcalc, matrixStats, nloptr, parallel, pbapply, pracma, rsvd, stats, quadprog
RoxygenNote: 6.1.1
Depends: R (>= 3.4.0)
Suggests: testthat, knitr, rmarkdown
URL: https://www.biorxiv.org/content/10.1101/437368v1
BugReports: https://github.com/cozygene/TCA/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-20 19:21:28 UTC; eliorrahmani
Repository: CRAN
Date/Publication: 2019-05-22 14:10:03 UTC

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Package Routliers updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2019-04-28

Title: Robust Outliers Detection
Description: Detecting outliers using robust methods, i.e. the Median Absolute Deviation (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013) <doi:10.1016/j.jesp.2013.03.013> and the Mahalanobis-Minimum Covariance Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy, Y. & Ley, C. (2018) <doi:10.1016/j.jesp.2017.09.011>. There is also the more known but less robust Mahalanobis distance method, only for comparison purposes.
Author: Marie Delacre [aut, cre], Olivier Klein [aut]
Maintainer: Marie Delacre <marie.delacre@ulb.ac.be>

Diff between Routliers versions 0.0.0.1 dated 2019-04-28 and 0.0.0.2 dated 2019-05-22

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Package personalized updated to version 0.2.4 with previous version 0.2.3 dated 2019-02-07

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies.
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>), Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between personalized versions 0.2.3 dated 2019-02-07 and 0.2.4 dated 2019-05-22

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New package eddi with initial version 0.0.1
Package: eddi
Title: Get Evaporative Demand Drought Index Raster Data
Version: 0.0.1
Authors@R: person(given = "Max", family = "Joseph", role = c("aut", "cre"), email = "maxwell.b.joseph@colorado.edu", comment = c(ORCID = "0000-0002-7745-9990"))
Description: Finds and downloads raw Evaporative Demand Drought Index (EDDI) data, then reads the data into 'R' using the 'raster' package. The EDDI product detects drought at multiple time scales, from weekly "flash droughts" to long-term droughts. More information about the EDDI data product can be found at <https://www.esrl.noaa.gov/psd/eddi/>.
License: GPL-3
URL: https://github.com/earthlab/eddi
BugReports: https://github.com/earthlab/eddi/issues
Imports: raster, rgdal, utils
Suggests: covr, knitr, rmarkdown, sf, sp, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-20 20:06:19 UTC; max
Author: Max Joseph [aut, cre] (<https://orcid.org/0000-0002-7745-9990>)
Maintainer: Max Joseph <maxwell.b.joseph@colorado.edu>
Repository: CRAN
Date/Publication: 2019-05-22 14:20:03 UTC

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Package bcrm updated to version 0.5.1 with previous version 0.4.7 dated 2018-01-28

Title: Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials
Description: Implements a wide variety of one- and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.
Author: Michael Sweeting [aut], Graham Wheeler [aut, cre]
Maintainer: Graham Wheeler <graham.wheeler@ucl.ac.uk>

Diff between bcrm versions 0.4.7 dated 2018-01-28 and 0.5.1 dated 2019-05-22

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New package zoltr with initial version 0.2.0
Package: zoltr
Title: Interface to the 'Zoltar' Forecast Repository API
Version: 0.2.0
Authors@R: c( person("Matthew", "Cornell", role = c("aut", "cre"), email = "cornell@umass.edu"), person("Nicholas", "Reich", role = c("aut", "cph"), email = "nick@schoolph.umass.edu"))
Description: 'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community. This package provides functions for working with the 'Zoltar' API, including connecting and authenticating, getting information about projects, models, and forecasts, deleting and uploading forecast data, and downloading scores.
URL: https://github.com/reichlab/zoltr , http://reichlab.io/zoltr/
BugReports: https://github.com/reichlab/zoltr/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
Imports: httr, jsonlite, readr, mockery, webmockr
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-20 16:13:13 UTC; cornell
Author: Matthew Cornell [aut, cre], Nicholas Reich [aut, cph]
Maintainer: Matthew Cornell <cornell@umass.edu>
Repository: CRAN
Date/Publication: 2019-05-22 14:00:03 UTC

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New package gridBezier with initial version 1.1-1
Package: gridBezier
Type: Package
Title: Bezier Curves in 'grid'
Version: 1.1-1
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Functions for rendering Bezier curves (Pomax, 2018) <https://pomax.github.io/bezierinfo/> in 'grid'. There is support for both quadratic and cubic Bezier curves. There are also functions for calculating points on curves, tangents to curves, and normals to curves.
Depends: grid
URL: https://github.com/pmur002/gridbezier,https://stattech.wordpress.fos.auckland.ac.nz/2018/11/02/2018-11-variable-width-bezier-splines-in-r/
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-05-20 02:50:38 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-05-22 13:10:03 UTC

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New package eq5d with initial version 0.1.0
Package: eq5d
Type: Package
Title: Methods for Calculating 'EQ-5D' Utility Index Scores
Version: 0.1.0
Authors@R: c( person("Fraser", "Morton", email = "fraser.morton@glasgow.ac.uk", role = c("aut", "cre")), person(c("Jagtar", "Singh"), "Nijjar", email = "jsn33@medschl.cam.ac.uk", role = "aut"))
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://www.euroqol.org>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://www.euroqol.org/eq-5d-instruments/eq-5d-3l-about>) or a five-level (EQ-5D-5L, <https://www.euroqol.org/eq-5d-instruments/eq-5d-5l-about>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension scores. EQ-5D-3L TTO and VAS value sets for countries from Szende et al (2007) <doi:10.1007/1-4020-5511-0> and Szende et al (2014) <doi:10.1007/978-94-007-7596-1>, EQ-5D-5L EQ-VT value sets from the EuroQol website, and the EQ-5D-5L crosswalk value sets developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> are included. Additionally, a shiny web tool is included to enable the calculation of multiple EQ-5D index values via a web browser using EQ-5D dimension scores stored in CSV or Excel files.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, shiny, DT, mime, readxl, knitr, rmarkdown, covr
URL: https://github.com/fragla/eq5d
BugReports: https://github.com/fragla/eq5d/issues
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2019-05-20 10:27:38 UTC; fm78w
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-22 13:30:03 UTC

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New package dixonTest with initial version 1.0.0
Package: dixonTest
Type: Package
Title: Dixon's Ratio Test for Outlier Detection
Version: 1.0.0
Authors@R: c(person("Thorsten", "Pohlert", role = c("aut", "cre"), email = "thorsten.pohlert@gmx.de"), person("George C.", "McBane", role = "ctb"))
Description: For outlier detection in small and normally distributed samples the ratio test of Dixon (Q-test) can be used. Density, distribution function, quantile function and random generation for Dixon's ratio statistics are provided as wrapper functions. The core applies McBane's Fortran functions <doi:10.18637/jss.v016.i03> that use Gaussian quadrature for a numerical solution.
License: GPL-3
ByteCompile: yes
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
Classification/MSC-2010: 62F03, 62E17, 62Q05
RoxygenNote: 6.1.1
Packaged: 2019-05-17 17:46:29 UTC; thorsten
Author: Thorsten Pohlert [aut, cre], George C. McBane [ctb]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>
Repository: CRAN
Date/Publication: 2019-05-22 13:40:02 UTC

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Package bayesdfa updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-05

Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. 'bayesdfa' extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, autoregressive and moving average components can be optionally included. Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.
Author: Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Trustees of Columbia University [cph]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

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Package IsoSpecR updated to version 2.0.1 with previous version 1.9.2 dated 2019-01-21

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry.
Author: Mateusz Krzysztof Lacki and Michal Startek
Maintainer: Matteo Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 1.9.2 dated 2019-01-21 and 2.0.1 dated 2019-05-22

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Package osmdata updated to version 0.1.1 with previous version 0.1.0 dated 2019-04-25

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server and processed with very fast 'C++' routines for return to 'R'.
Author: Mark Padgham [aut, cre], Bob Rudis [aut], Robin Lovelace [aut], Maëlle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Finkelstein Noam [ctb, cph] (Author of included stub.R code), Bartnik Lukasz [ctb, cph] (Author of included stub.R code)
Maintainer: Mark Padgham <mark.padgham@email.com>

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New package mlmm.gwas with initial version 1.0.5
Package: mlmm.gwas
Type: Package
Title: Pipeline for GWAS Using MLMM
Version: 1.0.5
Author: Fanny Bonnafous [aut], Alexandra Duhnen [aut], Louise Gody [aut], Olivier Guillaume[aut, cre], Brigitte Mangin [aut], Prune Pegot-Espagnet [aut], Vincent Segura [aut], Bjarni J. Vilhjalmsson [aut], Clement Mabire [aut]
Maintainer: Clement Mabire <clement.mabire@inra.fr>
Description: Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The pipeline include detection of associated SNPs with MLMM, model selection by lowest eBIC and markers selection by p-value threshold, estimation of the effects of the SNPs in the selected model and graphical functions.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.3.0)
Imports: multcompView(>= 0.1-7), multcomp(>= 1.4-8), coxme(>= 2.2-5), sommer(>= 3.2), Matrix(>= 1.2-10)
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-22 08:57:35 UTC; cmabire
Repository: CRAN
Date/Publication: 2019-05-22 10:30:03 UTC

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Package MtreeRing updated to version 1.3 with previous version 1.1 dated 2018-10-16

Title: A Shiny Application for Automatic Measurements of Tree-Ring Widths on Digital Images
Description: Use morphological image processing and edge detection algorithms to automatically measure tree ring widths on digital images. Users can also manually mark tree rings on species with complex anatomical structures. The arcs of inner-rings and angles of successive inclined ring boundaries are used to correct ring-width series. The package provides a Shiny-based application, allowing R beginners to easily analyze tree ring images and export ring-width series in standard file formats.
Author: Jingning Shi [aut, cre], Wei Xiang [aut]
Maintainer: Jingning Shi <snow940220@bjfu.edu.cn>

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New package predictrace with initial version 1.0.0
Package: predictrace
Title: Predict the Race of a Given Surname Using Census Data
Version: 1.0.0
Authors@R: person(given = "Jacob", family = "Kaplan", role = c("aut", "cre"), email = "jkkaplan6@gmail.com", comment = c(ORCID = "0000-0002-0601-0387"))
Description: Predicts the most common race of a surname based on U.S. Census data.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr, spelling
VignetteBuilder: knitr
Imports: dplyr, tidyr, here
RoxygenNote: 6.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-10 16:42:36 UTC; user
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-22 07:50:03 UTC

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Package ndtv updated to version 0.13.0 with previous version 0.12.3 dated 2018-10-08

Title: Network Dynamic Temporal Visualizations
Description: Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package GMMAT updated to version 1.1.0 with previous version 1.0.4 dated 2019-03-06

Title: Generalized Linear Mixed Model Association Tests
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
Author: Han Chen, Matthew P. Conomos
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>

Diff between GMMAT versions 1.0.4 dated 2019-03-06 and 1.1.0 dated 2019-05-22

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Package explore updated to version 0.4.2 with previous version 0.4.1 dated 2019-05-19

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code or use a easy to remember set of tidy functions for exploratory data analysis. Introduces two main verbs. describe() to describe a variable or table, explore() to graphically explore a variable or table.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

Diff between explore versions 0.4.1 dated 2019-05-19 and 0.4.2 dated 2019-05-22

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Package epiR updated to version 1.0-2 with previous version 0.9-99 dated 2018-11-06

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp and Mathew Jay.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package APSIM updated to version 0.9.3 with previous version 0.9.2 dated 2017-07-23

Title: General Utility Functions for the 'Agricultural Production Systems Simulator'
Description: Contains functions designed to facilitate the loading and transformation of 'Agricultural Production Systems Simulator' output files <https://www.apsim.info>. Input meteorological data (also known as "weather" or "met") files can also be generated from user supplied data.
Author: Justin Fainges
Maintainer: Dean Holzworth <Dean.Holzworth@csiro.au>

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Package readabs updated to version 0.3.1 with previous version 0.3.0 dated 2019-02-01

Title: Download and Tidy Time Series Data from the Australian Bureau of Statistics
Description: Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.
Author: Matt Cowgill [aut, cre], Zoe Meers [aut], Jaron Lee [aut]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

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Package jcolors updated to version 0.0.4 with previous version 0.0.3 dated 2018-08-09

Title: Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'
Description: Contains a selection of color palettes and 'ggplot2' themes designed by the package author.
Author: Jared Huling [aut, cre] (<https://orcid.org/0000-0003-0670-4845>)
Maintainer: Jared Huling <jaredhuling@gmail.com>

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