Sun, 23 Jun 2019

Package ggfittext updated to version 0.8.0 with previous version 0.7.0 dated 2019-05-29

Title: Fit Text Inside a Box in 'ggplot2'
Description: Provides 'ggplot2' geoms to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre]
Maintainer: David Wilkins <david@wilkox.org>

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Package objectremover updated to version 0.7.0 with previous version 0.6.4 dated 2019-03-06

Title: 'RStudio' Addin for Removing Objects from the Global Environment Based on Patterns and Object Type
Description: An 'RStudio' addin to assist with removing objects from the global environment. Features include removing objects according to name patterns and object type. During the course of an analysis, temporary objects are often created and this tool assists with removing them quickly. This can be useful when memory management within 'R' is important.
Author: Alan Yeung [aut, cre] (<https://orcid.org/0000-0001-5226-3695>)
Maintainer: Alan Yeung <alan_y987@hotmail.com>

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Package guardianapi updated to version 0.1.1 with previous version 0.1.0 dated 2019-02-03

Title: Access 'The Guardian' Newspaper Open Data API
Description: Access to 'The Guardian' newspaper's open API <https://open-platform.theguardian.com/>, containing all articles published in 'The Guardian' from 1999 to the present, including article text, metadata, tags and contributor information. An API key and registration is required.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

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Package genepop updated to version 1.1.2 with previous version 1.0.5 dated 2017-08-23

Title: Population Genetic Data Analysis Using Genepop
Description: Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
Author: Fran├žois Rousset [aut, cre, cph], Jimmy Lopez [ctb], Khalid Belkhir [ctb]
Maintainer: Fran├žois Rousset <francois.rousset@umontpellier.fr>

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Package officer updated to version 0.3.5 with previous version 0.3.4 dated 2019-04-30

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Anton Victorson [ctb] (fixes xml structures), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (fuction annotate_base)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package hR updated to version 0.2.0 with previous version 0.1.9 dated 2019-04-29

Title: Toolkit for Data Analytics in Human Resources
Description: Transform and analyze workforce data in meaningful ways for human resources (HR) analytics. Two functions, 'hierarchyLong' and 'hierarchyWide', convert standard employee and supervisor relationship data into useful formats. A 'workforcePlan' app is available for simple workforce planning.
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

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Package pct updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-14

Title: Propensity to Cycle Tool
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package PerformanceAnalytics updated to version 1.5.3 with previous version 1.5.2 dated 2018-03-02

Title: Econometric Tools for Performance and Risk Analysis
Description: Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb], Joshua Ulrich [ctb], Eric Zivot [ctb], Dries Cornilly [ctb], Eric Hung [ctb], Matthieu Lestel [ctb], Kyle Balkissoon [ctb], Diethelm Wuertz [ctb]
Maintainer: Brian G. Peterson <brian@braverock.com>

Diff between PerformanceAnalytics versions 1.5.2 dated 2018-03-02 and 1.5.3 dated 2019-06-23

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Package hmi updated to version 0.9.16 with previous version 0.9.15 dated 2018-12-13

Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Munich, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

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Package binb updated to version 0.0.4 with previous version 0.0.3 dated 2018-10-12

Title: 'binb' is not 'Beamer'
Description: A collection of 'LaTeX' styles using 'Beamer' customization for pdf-based presentation slides in 'RMarkdown'. At present it contains 'RMarkdown' adaptations of the LaTeX themes 'Metropolis' (formerly 'mtheme') theme by Matthias Vogelgesang and others (now included in 'TeXLive'), the 'IQSS' by Ista Zahn (which is included here), and the 'Monash' theme by Rob J Hyndman. Additional (free) fonts may be needed: 'Metropolis' prefers 'Fira', and 'IQSS' requires 'Libertinus'.
Author: Dirk Eddelbuettel, Ista Zahn and Rob Hyndman
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package txtq updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-06

Title: A Small Message Queue for Parallel Processes
Description: This queue is a data structure that lets parallel processes send and receive messages, and it can help coordinate the work of complicated parallel tasks. Processes can push new messages to the queue, pop old messages, and obtain a log of all the messages ever pushed. File locking preserves the integrity of the data even when multiple processes access the queue simultaneously.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Ian E. Fellows [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package tabr updated to version 0.3.0 with previous version 0.2.0 dated 2018-05-17

Title: Create Guitar Tablature
Description: Creates guitar tablature from R code by providing functions for describing and organizing musical structures and wrapping around the 'LilyPond' backend (<http://lilypond.org>). 'LilyPond' is open source music engraving software for generating high quality sheet music based on markup language. 'tabr' provides a wrapper around this software and generates files following the 'LilyPond' markup syntax to be subsequently processed by 'LilyPond' into sheet music pdf files. A standalone 'LilyPond' file can be created or the package can make a system call to 'LilyPond' directly to render the guitar tablature output. While 'LilyPond' caters to sheet music in general, 'tabr' is focused on leveraging it specifically for creating quality guitar tablature. 'tabr' offers nominal MIDI file support in addition to its focus on tablature transcription. See the 'tuneR' package for more general use of MIDI files in R. 'tabr' also provides a collection of helper functions for manipulating and transforming strings of musical notes, pitches, chords, keys, scales and modes.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <matt_leonawicz@esource.com>

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Package spatstat updated to version 1.60-1 with previous version 1.59-0 dated 2019-03-22

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ottmar Cronie; Tilman Davies; Yongtao Guan; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Greg McSwiggan; Tuomas Rajala; Suman Rakshit; Dominic Schuhmacher; Rasmus Waagepetersen; and Hangsheng Wang. Additional contributions by M. Adepeju; C. Anderson; Q.W. Ang; R. Arellano; J. Astrom; M. Austenfeld; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; L. Cobo Sanchez; J.-F. Coeurjolly; K. Colyvas; H. Commenges; R. Constantine; R. Corria Ainslie; R. Cotton; M. de la Cruz; P. Dalgaard; M. D'Antuono; S. Das; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; J. Geldmann; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; M. Hesselbarth; P. Hewson; H. Heydarian; K. Hingee; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; C. Icos; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; L. Kozmian-Ledward; M. Kuhn; J. Laake; R.A. Lamb; F. Lavancier; T. Lawrence; T. Lazauskas; J. Lee; G.P. Leser; A. Li; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; F. Mestre; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; I. Moncada; M. Moradi; V. Morera Pujol; E. Mudrak; G.M. Nair; N. Najari; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; T. Pollington; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud; N. Read; M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; P. Shi; H.-J. Ship; T.L. Silva; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; J. Sulavik; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; L. Torres; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; S. Wagner; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; L. Yates; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package icr updated to version 0.6.0 with previous version 0.5.9 dated 2019-02-14

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

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Package AMR updated to version 0.7.1 with previous version 0.7.0 dated 2019-06-03

Title: Antimicrobial Resistance Analysis
Description: Functions to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods.
Author: Matthijs S. Berends [aut, cre] (<https://orcid.org/0000-0001-7620-1800>), Christian F. Luz [aut] (<https://orcid.org/0000-0001-5809-5995>), Erwin E. A. Hassing [ctb], Corinna Glasner [aut, ths] (<https://orcid.org/0000-0003-1241-1328>), Alex W. Friedrich [aut, ths] (<https://orcid.org/0000-0003-4881-038X>), Bhanu N. M. Sinha [aut, ths] (<https://orcid.org/0000-0003-1634-0010>)
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

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Package auk updated to version 0.3.3 with previous version 0.3.2 dated 2019-02-04

Title: eBird Data Extraction and Processing in R
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>), Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package strex updated to version 1.1.1 with previous version 1.1.0 dated 2019-06-15

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package cricketr updated to version 0.0.20 with previous version 0.0.19 dated 2019-06-08

Title: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Description: Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package tram updated to version 0.2-6 with previous version 0.2-5 dated 2019-02-27

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package samplesize4surveys updated to version 3.7.5.1 with previous version 3.6.1.0 dated 2018-07-23

Title: Sample Size Calculations for Complex Surveys
Description: Computes the required sample size for estimation of totals, means and proportions under complex sampling designs.
Author: Hugo Andres Gutierrez Rojas
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>

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Package mlt.docreg updated to version 1.0-3 with previous version 1.0-2 dated 2018-08-16

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package missingHE updated to version 1.1.1 with previous version 1.0.1 dated 2019-06-05

Title: Missing Outcome Data in Health Economic Evaluation
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>

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Package leafR updated to version 0.2 with previous version 0.1.4 dated 2019-06-11

Title: Calculates the Leaf Area Index (LAD) and Other Related Functions
Description: A set of functions for analyzing the structure of forests based on the leaf area density (LAD) and leaf area index (LAI) measures calculated from Airborne Laser Scanning (ALS), i.e., scanning lidar (Light Detection and Ranging) data. The methodology is discussed and described in Almeida et al. (2019) <doi:10.3390/rs11010092> and Stark et al. (2012) <doi:10.1111/j.1461-0248.2012.01864.x>.
Author: Danilo Roberti Alves de Almeida [aut, cre] (<https://orcid.org/0000-0002-8747-0085>), Scott Christopher Stark [aut] (<https://orcid.org/0000-0002-1579-1648>), Carlos Alberto Silva [aut] (<https://orcid.org/0000-0002-7844-3560>), Caio Hamamura [aut] (<https://orcid.org/0000-0001-6149-5885>)
Maintainer: Danilo Roberti Alves de Almeida <daniloflorestas@gmail.com>

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Package ipc updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-11

Title: Tools for Message Passing Between Processes
Description: Provides tools for passing messages between R processes. Shiny Examples are provided showing how to perform useful tasks such as: updating reactive values from within a future, progress bars for long running async tasks, and interrupting async tasks based on user input.
Author: Ian E. Fellows
Maintainer: Ian E. Fellows <ian@fellstat.com>

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Package hdnom updated to version 6.0.0 with previous version 5.0 dated 2018-05-13

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>), Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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Package ggpubr updated to version 0.2.1 with previous version 0.2 dated 2018-11-15

Title: 'ggplot2' Based Publication Ready Plots
Description: The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between ggpubr versions 0.2 dated 2018-11-15 and 0.2.1 dated 2019-06-23

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Package aroma.affymetrix updated to version 3.2.0 with previous version 3.1.1 dated 2018-04-16

Title: Analysis of Large Affymetrix Microarray Data Sets
Description: A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system. The only parameter that limits the number of chips that can be processed is the amount of available disk space. The Aroma Framework has successfully been used in studies to process tens of thousands of arrays. This package has actively been used since 2006.
Author: Henrik Bengtsson [aut, cre, cph], James Bullard [ctb], Kasper Hansen [ctb], Pierre Neuvial [ctb], Elizabeth Purdom [ctb], Mark Robinson [ctb], Ken Simpson [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between aroma.affymetrix versions 3.1.1 dated 2018-04-16 and 3.2.0 dated 2019-06-23

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 R/999.AromaAffymetrix.R                                                             |    2 
 R/999.package.R                                                                     |    8 
 R/AffymetrixCdfFile.R                                                               |    6 
 R/AffymetrixCelFile.R                                                               |    2 
 R/AffymetrixCelSet.R                                                                |    2 
 R/AffymetrixPgfFile.R                                                               |    2 
 R/ChipEffectSet.R                                                                   |    2 
 R/FirmaModel.R                                                                      |    2 
 R/FirmaSet.R                                                                        |    2 
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 R/ResidualSet.R                                                                     |    2 
 R/WeightsSet.R                                                                      |    2 
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 inst/testScripts/system/chipTypes/Test3/11.ArrayExplorer.R                          |   30 
 inst/testScripts/testAll.R                                                          |  208 
 inst/vignettes/CRMA,Mapping50K_Hind240,BiasCorrectedChrXY.R                         |  510 -
 inst/vignettes/replication-MAT/R/01b.downloadRawData.R                              |    4 
 inst/vignettes/replication-RMA/R/01b.downloadRawData.R                              |    2 
 man/aroma.affymetrix-package.Rd                                                     |    8 
 276 files changed, 14144 insertions(+), 14121 deletions(-)

More information about aroma.affymetrix at CRAN
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