Thu, 17 Oct 2019

Package SmallCountRounding updated to version 0.4.0 with previous version 0.3.0 dated 2019-02-28

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398>.
Author: Øyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

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Package phuse updated to version 0.2.0 with previous version 0.1.8 dated 2019-06-18

Title: Web Application Framework for 'PhUSE' Scripts
Description: Make it easy to review, download and execute scripts stored in Github 'phuse-scripts' repository <https://github.com/phuse-org/phuse-scripts>. Some examples included show the web application framework using the script metadata. The 'PhUSE' is Pharmaceutical Users Software Exchange <http://www.phuse.eu>.
Author: Hanming Tu [aut, cre]
Maintainer: Hanming Tu <hanming.tu@gmail.com>

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Package nhdplusTools updated to version 0.3.10 with previous version 0.3.9 dated 2019-10-16

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre], Mike Johnson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package MBHdesign updated to version 2.1.5 with previous version 1.0.79 dated 2017-10-30

Title: Spatial Designs for Ecological and Environmental Surveys
Description: Provides spatially balanced designs from a set of (contiguous) potential sampling locations in a study region for point-based and for transect-based surveys. Accommodates, without detrimental effects on spatial balance, sites that the researcher wishes to include in the survey for reasons other than the current randomisation (legacy sites).
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@data61.csiro.au>

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Package jackalope updated to version 0.1.3 with previous version 0.1.2 dated 2019-07-11

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

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Package eSDM updated to version 0.3.1 with previous version 0.3.0 dated 2019-08-19

Title: Ensemble Tool for Predictions from Species Distribution Models
Description: A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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Package BMTME updated to version 1.0.12 with previous version 1.0.11 dated 2019-10-01

Title: Bayesian Multi-Trait Multi-Environment for Genomic Selection Analysis
Description: Genomic selection and prediction models with the capacity to use multiple traits and environments, through ready-to-use Bayesian models. It consists a group of functions that help to create regression models for some genomic models proposed by Montesinos-López, et al. (2016) <doi:10.1534/g3.116.032359> also in Montesinos-López et al. (2018) <doi:10.1534/g3.118.200728> and Montesinos-López et al. (2018) <doi:10.2134/agronj2018.06.0362>.
Author: Francisco Javier Luna-Vazquez [aut, cre] (<https://orcid.org/0000-0002-5370-7152>), Fernando H. Toledo [aut], Osval Antonio Montesinos-Lopez [aut] (<https://orcid.org/0000-0002-3973-6547>), Abelardo Montesinos-Lopez [aut], Jose Crossa [aut] (<https://orcid.org/0000-0001-9429-5855>)
Maintainer: Francisco Javier Luna-Vazquez <frahik@gmail.com>

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Package trackdem updated to version 0.5 with previous version 0.4.3 dated 2019-03-19

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <mbruijning@princeton.edu>

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Package taxize updated to version 0.9.9 with previous version 0.9.8 dated 2019-06-28

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb], Maëlle Salmon [ctb], Gaopeng Li [ctb], Matthias Grenié [ctb], rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package styler updated to version 1.2.0 with previous version 1.1.1 dated 2019-05-06

Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting intent.
Author: Kirill Müller [aut], Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

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Package permutations updated to version 1.0-5 with previous version 1.0-4 dated 2019-04-11

Title: The Symmetric Group: Permutations of a Finite Set
Description: Manipulates invertible functions from a finite set to itself. Can transform from word form to cycle form and back.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package LDlinkR updated to version 1.0.1 with previous version 1.0.0 dated 2019-08-01

Title: An R Package for Calculating Linkage Disequilibrium
Description: Provides access to the LDlink API (<https://ldlink.nci.nih.gov/?tab=apiaccess>) using the R console. This programmatic access facilitates researchers who are interested in performing batch queries in 1000 Genomes Project data using LDlink.
Author: Timothy A. Myers [aut, cre], Stephen J. Chanock [aut], Mitchell J. Machiela [aut]
Maintainer: Timothy A. Myers <myersta@mail.nih.gov>

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Package insight updated to version 0.6.0 with previous version 0.5.0 dated 2019-09-07

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package xgxr updated to version 1.0.5 with previous version 1.0.4 dated 2019-10-10

Title: Exploratory Graphics for Pharmacometrics
Description: Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
Author: Andrew Stein [aut, cre], Alison Margolskee [aut], Fariba Khanshan [aut], Konstantin Krismer [aut] (<https://orcid.org/0000-0001-8994-3416>), Matthew Fidler [ctb] (<https://orcid.org/0000-0001-8538-6691>), Novartis Pharma AG [cph, fnd]
Maintainer: Andrew Stein <andy.stein@gmail.com>

Diff between xgxr versions 1.0.4 dated 2019-10-10 and 1.0.5 dated 2019-10-17

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Package MLML2R updated to version 0.3.3 with previous version 0.3.2 dated 2019-04-06

Title: Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions
Description: Maximum likelihood estimates (MLE) of the proportions of 5-mC and 5-hmC in the DNA using information from BS-conversion, TAB-conversion, and oxBS-conversion methods. One can use information from all three methods or any combination of two of them. Estimates are based on Binomial model by Qu et al. (2013) <doi:10.1093/bioinformatics/btt459> and Kiihl et al. (2019) <doi:10.1515/sagmb-2018-0031>.
Author: Samara Kiihl [aut, cre], Maria Jose Martinez-Garrido [aut], Arce Domingo-Relloso [aut], Jose Bermudez [aut], Maria Tellez-Plaza [aut]
Maintainer: Samara Kiihl <samara@ime.unicamp.br>

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Package scorecard updated to version 0.2.7 with previous version 0.2.6 dated 2019-09-01

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between scorecard versions 0.2.6 dated 2019-09-01 and 0.2.7 dated 2019-10-17

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Package classInt updated to version 0.4-2 with previous version 0.4-1 dated 2019-08-06

Title: Choose Univariate Class Intervals
Description: Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
Author: Roger Bivand [aut, cre] (<https://orcid.org/0000-0003-2392-6140>), Hisaji Ono [ctb], Richard Dunlap [ctb], Matthieu Stigler [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>)
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between classInt versions 0.4-1 dated 2019-08-06 and 0.4-2 dated 2019-10-17

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Package bibliometrix updated to version 2.3.0 with previous version 2.2.1 dated 2019-06-27

Title: An R-Tool for Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from SCOPUS (<http://scopus.com>), Clarivate Analytics Web of Science (<http://www.webofknowledge.com/>), Dimensions (<https://www.dimensions.ai/>), Cochrane Library (<http://www.cochranelibrary.com/>) and PubMed (<https://www.ncbi.nlm.nih.gov/pubmed/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 2.2.1 dated 2019-06-27 and 2.3.0 dated 2019-10-17

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 bibliometrix-2.3.0/bibliometrix/man/bib2df.Rd                                                       |    6 
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Package basetheme updated to version 0.1.2 with previous version 0.1.1 dated 2019-07-18

Title: Themes for Base Graphics Plots
Description: Functions to create and select graphical themes for the base plotting system. Contains: 1) several custom pre-made themes 2) mechanism for creating new themes by making persistent changes to the graphical parameters of base plots.
Author: Karolis Koncevičius [aut, cre]
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>

Diff between basetheme versions 0.1.1 dated 2019-07-18 and 0.1.2 dated 2019-10-17

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Package DTRreg updated to version 1.5 with previous version 1.4 dated 2019-08-21

Title: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Description: Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and (for G-estimation) recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv).
Author: Michael Wallace, Erica E M Moodie, David A Stephens and Gabrielle Simoneau
Maintainer: Michael Wallace <michael.wallace@uwaterloo.ca>

Diff between DTRreg versions 1.4 dated 2019-08-21 and 1.5 dated 2019-10-17

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Package CircMLE updated to version 0.2.2 with previous version 0.2.1 dated 2018-02-20

Title: Maximum Likelihood Analysis of Circular Data
Description: A series of wrapper functions to implement the 10 maximum likelihood models of animal orientation described by Schnute and Groot (1992) <DOI:10.1016/S0003-3472(05)80068-5>. The functions also include the ability to use different optimizer methods and calculate various model selection metrics (i.e., AIC, AICc, BIC).
Author: Robert Fitak [aut, cre], Sönke Johnsen [aut]
Maintainer: Robert Fitak <rfitak9@gmail.com>

Diff between CircMLE versions 0.2.1 dated 2018-02-20 and 0.2.2 dated 2019-10-17

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Package AzureContainers updated to version 1.1.1 with previous version 1.1.0 dated 2019-07-15

Title: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure'
Description: An interface to container functionality in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/overview/containers/>. Manage 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy services. On the client side, lightweight shells to the 'docker', 'kubectl' and 'helm' commandline tools are provided. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Bill Liang [ctb] (Assistance debugging MMLS on Kubernetes), Ramkumar Chandrasekaran [ctb] (Original blog article on Dockerising MMLS), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureContainers versions 1.1.0 dated 2019-07-15 and 1.1.1 dated 2019-10-17

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Package ashr updated to version 2.2-39 with previous version 2.2-32 dated 2019-02-22

Title: Methods for Adaptive Shrinkage, using Empirical Bayes
Description: The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", <DOI:10.1093/biostatistics/kxw041>. These methods can be applied whenever two sets of summary statistics---estimated effects and standard errors---are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users. The ash() and ash.workhorse() also provides a flexible modeling interface that can accomodate a variety of likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal).
Author: Matthew Stephens [aut], Peter Carbonetto [aut, cre], Chaoxing Dai [ctb], David Gerard [aut], Mengyin Lu [aut], Lei Sun [aut], Jason Willwerscheid [aut], Nan Xiao [aut], Mazon Zeng [ctb]
Maintainer: Peter Carbonetto <pcarbo@uchicago.edu>

Diff between ashr versions 2.2-32 dated 2019-02-22 and 2.2-39 dated 2019-10-17

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Package sabre updated to version 0.3.2 with previous version 0.3.1 dated 2019-07-18

Title: Spatial Association Between Regionalizations
Description: Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Tomasz Stepinski [aut], Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between sabre versions 0.3.1 dated 2019-07-18 and 0.3.2 dated 2019-10-17

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New package WaveletGARCH with initial version 0.1.0
Package: WaveletGARCH
Type: Package
Title: Fit the Wavelet-GARCH Model to Volatile Time Series Data
Version: 0.1.0
Author: Dr. Ranjit Kumar Paul, Sandipan Samanta and Ankit Tanwar
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Fits the combination of Wavelet-GARCH model for time series forecasting using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.
License: GPL
Imports: stats, wavelets, FinTS, forecast, parallel, rugarch, fracdiff
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-10-15 09:56:16 UTC; ranjitstat
Repository: CRAN
Date/Publication: 2019-10-17 08:40:02 UTC

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New package ubiquity with initial version 1.0.0
Package: ubiquity
Type: Package
Title: PKPD, PBPK, and Systems Pharmacology Modeling Tools
Version: 1.0.0
Authors@R: c(person("John", "Harrold", role = c("aut", "cre"), email = "john.m.harrold@gmail.com"))
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>
Description: Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint'.
URL: https://ubiquity.tools/rworkflow
SystemRequirements: Perl
BugReports: https://github.com/john-harrold/ubiquity/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Imports: deSolve, digest, doParallel, doRNG, flextable, foreach, gridExtra, grid, gdata, ggplot2, knitr, MASS, officer (>= 0.3.5), optimx, PKNCA, pso, rmarkdown, rhandsontable, rstudioapi, stats, shiny,
Suggests: GA, GGally, gridGraphics, webshot, testthat, ggrepel
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-14 22:14:37 UTC; jmh
Repository: CRAN
Date/Publication: 2019-10-17 08:10:02 UTC

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New package orderly with initial version 1.0.1
Package: orderly
Title: Lightweight Reproducible Reporting
Version: 1.0.1
Description: Order, create and store reports from R. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.
License: MIT + file LICENSE
Encoding: UTF-8
Authors@R: c(person("Rich", "FitzJohn", role = c("aut", "cre"), email = "rich.fitzjohn@gmail.com"), person("Robert", "Ashton", role = "aut"), person("Alex", "Hill", role = "aut"), person("Martin", "Eden", role = "aut"), person("Wes", "Hinsley", role = "aut"), person("Emma", "Russell", role = "aut"), person("James", "Thompson", role = "aut"), person("Imperial College of Science, Technology and Medicine", role = "cph"))
URL: https://github.com/vimc/orderly
BugReports: https://github.com/vimc/orderly/issues
SystemRequirements: git
Imports: DBI, R6, RSQLite, digest, docopt, fs (>= 1.2.7), ids, withr, yaml, zip (>= 2.0.0)
Suggests: httr, jsonlite, knitr, mockery, processx, rmarkdown, testthat, vaultr (>= 1.0.0)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2019-10-14 12:11:45 UTC; rich
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Alex Hill [aut], Martin Eden [aut], Wes Hinsley [aut], Emma Russell [aut], James Thompson [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Repository: CRAN
Date/Publication: 2019-10-17 08:10:08 UTC

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Package rAmCharts updated to version 2.1.12 with previous version 2.1.11 dated 2019-08-28

Title: JavaScript Charts Tool
Description: Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <http://datastorm- open.github.io/introduction_ramcharts/> and <http://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <http://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <http://www.amcharts.com/about/> for more information about 'AmCharts' company.
Author: Benoit Thieurmel [aut, cre], Antanas Marcelionis [aut, cph] ('AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/), Jeffery Petit [aut, ctb], Elena Salette [aut, ctb], Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between rAmCharts versions 2.1.11 dated 2019-08-28 and 2.1.12 dated 2019-10-17

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 R/union_AmCharts.R                                                     |   10 
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Package GPvecchia (with last version 0.1.0) was removed from CRAN

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

2019-10-02 0.1.0

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

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

2019-10-09 1.0

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Package s2dverification updated to version 2.8.6 with previous version 2.8.5 dated 2019-03-19

Title: Set of Common Tools for Forecast Verification
Description: Set of tools to verify forecasts through the computation of typical prediction scores against one or more observational datasets or reanalyses (a reanalysis being a physical extrapolation of observations that relies on the equations from a model, not a pure observational dataset). Intended for seasonal to decadal climate forecasts although can be useful to verify other kinds of forecasts. The package can be helpful in climate sciences for other purposes than forecasting.
Author: BSC-CNS [aut, cph], Virginie Guemas [aut], Nicolau Manubens [aut], An-Chi Ho [ctb, cre], Nuria Perez-Zanon [ctb], Javier Garcia-Serrano [aut], Neven Fuckar [aut], Louis-Philippe Caron [aut], Omar Bellprat [aut], Luis Rodrigues [aut], Veronica Torralba [aut], Alasdair Hunter [aut], Chloe Prodhomme [aut], Martin Menegoz [aut], Domingo Manubens [ctb], Constantin Ardilouze [ctb], Lauriane Batte [ctb], Fabian Lienert [ctb], Julia Giner [ctb], Jean-Philippe Baudouin [ctb], Nube Gonzalez [ctb], Ludovic Auger [ctb], Nicola Cortesi [ctb], Eleftheria Exarchou [ctb], Ruben Cruz [ctb], Isabel Andreu-Burillo [ctb], Ramiro Saurral [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

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More information about s2dverification at CRAN
Permanent link

Package R.rsp updated to version 0.43.2 with previous version 0.43.1 dated 2019-02-05

Title: Dynamic Generation of Scientific Reports
Description: The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.rsp versions 0.43.1 dated 2019-02-05 and 0.43.2 dated 2019-10-17

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 R/RspDocument.R                                                         |    5 
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 man/R.rsp-package.Rd                                                    |    2 
 man/rargs.Rd                                                            |    7 
 man/rfile.Rd                                                            |   10 
 tests/rargs.R                                                           |    4 
 tests/rfile.R                                                           |    1 
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 vignettes/RSP_refcard.tex.rsp                                           |  596 +-
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More information about R.rsp at CRAN
Permanent link

Package ncodeR updated to version 0.2.0.0 with previous version 0.1.3.0 dated 2019-05-03

Title: Techniques for Automated Classifiers
Description: A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.
Author: Cody L Marquart [aut, cre] (<https://orcid.org/0000-0002-3387-6792>), Zachari Swiecki [aut], Brendan Eagan [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

Diff between ncodeR versions 0.1.3.0 dated 2019-05-03 and 0.2.0.0 dated 2019-10-17

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 ncodeR-0.2.0.0/ncodeR/R/RegexCode.R                   |  118 +++++----
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Permanent link

Package mRpostman updated to version 0.3.0 with previous version 0.2.0 dated 2019-08-22

Title: IMAP Toolkit
Description: IMAP4rev1 (Internet Message Access Protocol, Version 4rev1) functionalities based on the RFC 3501 manual (Crispin, 2003, <doi:10.17487/RFC3501>), its updates, and other related documents. 'mRpostman' makes extensive use of 'curl' and 'libcurl' capabilities, providing functions for mailboxes and electronic messages manipulation, such as moving, deleting, and searching messages using specific criteria, setting and clearing flags, selective fetching of message attributes and more.
Author: Allan Quadros [aut, cre]
Maintainer: Allan Quadros <allanvcq@gmail.com>

Diff between mRpostman versions 0.2.0 dated 2019-08-22 and 0.3.0 dated 2019-10-17

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Package litteR updated to version 0.6.4 with previous version 0.6.2 dated 2019-10-07

Title: Litter Analysis
Description: Data sets on various litter types like beach litter, riverain litter, floating litter, and seafloor litter are rapidly growing. This package offers a simple user interface to analyse these litter data in a consistent and reproducible way. It also provides functions to facilitate several kinds of litter analysis, e.g., trend analysis, power analysis, and baseline analysis. Under the hood, these functions are also used by the user interface. See Schulz et al. (2019) <doi:10.1016/j.envpol.2019.02.030> for details. MS-Windows users are advised to run 'litteR' in 'RStudio'. See our vignette: Installation manual for 'RStudio' and 'litteR'.
Author: Dennis Walvoort [aut, cre, cph], Willem van Loon [aut, cph], Rijkswaterstaat - The Netherlands [cph, fnd, dtc]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package ggimage updated to version 0.2.4 with previous version 0.2.3 dated 2019-09-23

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package DynTxRegime updated to version 4.2 with previous version 4.1 dated 2019-03-21

Title: Methods for Estimating Optimal Dynamic Treatment Regimes
Description: Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

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Package irtplay updated to version 1.2.0 with previous version 1.1.0 dated 2019-09-18

Title: Evaluation of Model-Data Fit in Item Response Theory (IRT) and Useful Functions Related to IRT
Description: Examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to unidimensional item response theory (IRT). In terms of assessing the IRT model-data fit, one of distinguished features of this package is that it gives not only well-known item fit statistics (e.g., chi-square (X2), likelihood ratio chi-square (G2), infit and oufit statistics (Ames & Penfield (2015) <doi:10.1111/emip.12067>)) but also graphical displays to look at residuals between between the observed data and model-based predictions (Hambleton, Swaminathan, & Rogers (1991, ISBN:9780803936478)). More evaluation methods will be included in the future updated version. In addition to the evaluation of IRT model-data fit, there are several useful functions such as estimating proficiency parameters, calibrating item parameters given the fixed effects (aka. ability values) (Baker & Kim (2004, ISBN:9780824758257)), computing asymptotic variance-covariance matrices of item parameter estimates (Li & Lissitz (2004) <doi:10.1111/j.1745-3984.2004.tb01109.x>), importing item and/or ability parameters from popular IRT software, generating simulated data, computing the conditional distribution of observed scores using the Lord-Wingersky recursion formula (Lord & Wingersky (1984) <doi:10.1207/s15324818ame1002_1>), computing the loglikelihood of individual items, computing item and test information functions, computing item and test characteristic curve functions, and plotting item and test characteristic curves and item and test information functions.
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

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Package childesr updated to version 0.1.2 with previous version 0.1.1 dated 2019-04-25

Title: Accessing the 'CHILDES' Database
Description: Tools for connecting to 'CHILDES', an open repository for transcripts of parent-child interaction. For more information on the underlying data, see <http://childes-db.stanford.edu>.
Author: Mika Braginsky [aut, cre], Alessandro Sanchez [aut, ctb], Daniel Yurovsky [aut], Kyle MacDonald [ctb], Stephan Meylan [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>

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