Sun, 18 Feb 2018

Package SamplingStrata updated to version 1.2 with previous version 1.1 dated 2016-01-13

Title: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Description: In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package.
Author: Giulio Barcaroli, Marco Ballin, Daniela Pagliuca, Egon Willighagen, Diego Zardetto
Maintainer: Giulio Barcaroli <gbarcaroli@gmail.com>

Diff between SamplingStrata versions 1.1 dated 2016-01-13 and 1.2 dated 2018-02-18

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Package RcppNumerical updated to version 0.3-2 with previous version 0.3-1 dated 2016-12-09

Title: 'Rcpp' Integration for Numerical Computing Libraries
Description: A collection of open source libraries for numerical computing (numerical integration, optimization, etc.) and their integration with 'Rcpp'.
Author: Yixuan Qiu [aut, cre], Sreekumar Balan [aut] (Numerical integration library), Matt Beall [aut] (Numerical integration library), Mark Sauder [aut] (Numerical integration library), Naoaki Okazaki [aut] (The libLBFGS library), Thomas Hahn [aut] (The Cuba library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between RcppNumerical versions 0.3-1 dated 2016-12-09 and 0.3-2 dated 2018-02-18

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Package kernelboot updated to version 0.1.4 with previous version 0.1.3 dated 2017-12-18

Title: Smoothed Bootstrap and Random Generation from Kernel Densities
Description: Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+kernelboot@gmail.com>

Diff between kernelboot versions 0.1.3 dated 2017-12-18 and 0.1.4 dated 2018-02-18

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Package devtools updated to version 1.13.5 with previous version 1.13.4 dated 2017-11-09

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Winston Chang [aut], RStudio [cph], R Core team [ctb] (Some namespace and vignette code extracted from base R)
Maintainer: Jim Hester <james.hester@rstudio.com>

Diff between devtools versions 1.13.4 dated 2017-11-09 and 1.13.5 dated 2018-02-18

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New package agRee with initial version 0.5-1
Package: agRee
Title: Various Methods for Measuring Agreement
Version: 0.5-1
Author: Dai Feng
Description: Bland-Altman plot and scatter plot with identity line for visualization and point and interval estimates for different metrics related to reproducibility/repeatability/agreement including the concordance correlation coefficient, intraclass correlation coefficient, within-subject coefficient of variation, smallest detectable difference, and mean normalized smallest detectable difference.
Maintainer: Dai Feng <dai_feng@merck.com>
Depends: R (>= 3.0.2), miscF (>= 0.1-4), lme4 (>= 1.0-4)
Imports: R2jags (>= 0.03-11), coda (>= 0.16-1)
License: GPL
NeedsCompilation: no
Packaged: 2018-02-18 21:34:49 UTC; dai
Repository: CRAN
Date/Publication: 2018-02-18 21:55:41 UTC

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New package sim1000G with initial version 1.38
Package: sim1000G
Type: Package
Title: Genotype Simulations for Rare or Common Variants Using Haplotypes from 1000 Genomes
Version: 1.38
Date: 2018-02-16
Author: Apostolos Dimitromanolakis <apostolis@live.ca>, Jingxiong Xu <jingxiong.xu@mail.utoronto.ca>, Agnieszka Krol <krol@lunenfeld.ca>, Laurent Briollais <laurent@lunenfeld.ca>
Maintainer: Apostolos Dimitromanolakis <apostolis@live.ca>
Description: Generates realistic simulated genetic data in families or unrelated individuals.
License: GPL (>= 2)
Depends: R (>= 2.15.2), stats, hapsim, MASS, stringr, readr
NeedsCompilation: no
VignetteBuilder: knitr, prettydoc
RoxygenNote: 6.0.1
Suggests: knitr, prettydoc, testthat, rmarkdown, gplots
Encoding: UTF-8
Repository: CRAN
Packaged: 2018-02-17 17:23:46 UTC; apo
Date/Publication: 2018-02-18 21:30:35 UTC

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Package rgdax updated to version 0.3.0 with previous version 0.2.0 dated 2018-01-09

Title: Wrapper for 'GDAX' Cryptocurrency Exchange
Description: Allow access to both public and private end points to 'GDAX' cryptocurrency exchange. For authenticated flow, users must have valid api, secret and passphrase to be able to connect. Read more details on getting access to 'GDAX' API at: <https://support.gdax.com/customer/en/portal/articles/2425383-how-can-i-create-an-api-key-for-gdax->.
Author: person("Dheeraj", "Agarwal", email = "dheeeraj.agarwal@gmail.com", role = c("aut", "cre"))
Maintainer: Dheeraj Agarwal <dheeeraj.agarwal@gmail.com>

Diff between rgdax versions 0.2.0 dated 2018-01-09 and 0.3.0 dated 2018-02-18

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New package PottsUtils with initial version 0.3-3
Package: PottsUtils
Title: Utility Functions of the Potts Models
Version: 0.3-3
Author: Dai Feng [aut, cre], Luke Tierney [ctb]
Description: There are three sets of functions. The first produces basic properties of a graph and generates samples from multinomial distributions to facilitate the simulation functions (they maybe used for other purposes as well). The second provides various simulation functions for a Potts model in Potts, R. B. (1952) <doi:10.1017/S0305004100027419>. The third currently includes only one function which computes the normalizing constant of a Potts model based on simulation results.
Maintainer: Dai Feng <daifeng.stat@gmail.com>
Depends: R (>= 3.0.2)
Imports: miscF (>= 0.1-4)
License: GPL-2
NeedsCompilation: yes
Packaged: 2018-02-18 20:53:32 UTC; dai
Repository: CRAN
Date/Publication: 2018-02-18 21:04:47 UTC

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New package ecospace with initial version 1.2.3
Package: ecospace
Type: Package
Title: Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks
Version: 1.2.3
Date: 2018-01-17
Depends: R (>= 3.4.0)
Imports: FD (>= 1.0-12)
Authors@R: person("Phil", "Novack-Gottshall", email = "pnovack-gottshall@ben.edu", role = c("aut", "cre"))
Maintainer: Phil Novack-Gottshall <pnovack-gottshall@ben.edu>
Description: Implements stochastic simulations of community assembly (ecological diversification) using customizable ecospace frameworks (functional trait spaces). Provides a wrapper to calculate common ecological disparity and functional ecology statistical dynamics as a function of species richness. Functions are written so they will work in a parallel-computing environment.
License: CC0
URL: https://github.com/pnovack-gottshall/ecospace, http://www.ben.edu/faculty/pnovack-gottshall/index.html
LazyData: TRUE
BugReports: https://github.com/pnovack-gottshall/ecospace/issues
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, vegan
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-18 18:28:36 UTC; pnovack-gottshall
Author: Phil Novack-Gottshall [aut, cre]
Repository: CRAN
Date/Publication: 2018-02-18 21:09:27 UTC

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New package codingMatrices with initial version 0.3.2
Package: codingMatrices
Type: Package
Title: Alternative Factor Coding Matrices for Linear Model Formulae
Version: 0.3.2
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>
Description: A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
Depends: stats
Imports: Matrix, methods, fractional, utils
Suggests: knitr, MASS, dplyr, car, ggplot2, xtable
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-18 21:02:18 UTC; ven037
Repository: CRAN
Date/Publication: 2018-02-18 21:30:34 UTC

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Package binequality updated to version 1.0.3 with previous version 1.0.2 dated 2017-07-09

Title: Methods for Analyzing Binned Income Data
Description: Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored. We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results. We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.
Author: Samuel V. Scarpino, Paul von Hippel, and Igor Holas
Maintainer: Samuel V. Scarpino <s.scarpino@northeastern.edu>

Diff between binequality versions 1.0.2 dated 2017-07-09 and 1.0.3 dated 2018-02-18

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Package tfruns updated to version 1.3 with previous version 1.2 dated 2018-01-18

Title: Training Run Tools for 'TensorFlow'
Description: Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
Author: JJ Allaire [aut, cre], RStudio [cph, fnd], Mike Bostock [cph] (D3 library - https://d3js.org/), Masayuki Tanaka [cph] (C3 library - http://c3js.org/), jQuery Foundation [cph] (jQuery library), jQuery contributors [cph] (jQuery library; authors: inst/views/components/jquery-AUTHORS.txt), Shaun Bowe [cph] (jQuery visibilityChanged plugin), Materialize [cph] (Materizlize library - https://materializecss.com/), Yuxi You [cph] (Vue.js library - https://vuejs.org/), Kevin Decker [cph] (jsdiff library - https://github.com/kpdecker/jsdiff/), Rodrigo Fernandes [cph] (diff2html library - https://diff2html.xyz/), Ivan Sagalaev [cph] (highlight.js library - https://highlightjs.org/), Yauheni Pakala [cph] (highlightjs-line-numbers library)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between tfruns versions 1.2 dated 2018-01-18 and 1.3 dated 2018-02-18

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Package serrsBayes updated to version 0.3-12 with previous version 0.3-11 dated 2018-02-15

Title: Bayesian Modelling of Raman Spectroscopy
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS), using the method of Moores et al. (2016) <arXiv:1604.07299>. Multivariate observations of SERRS are highly collinear and lend themselves to a reduced-rank representation. The GAMM separates the SERRS signal into three components: a sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline; and additive white noise. The parameters of each component of the model are estimated iteratively using SMC. The posterior distributions of the parameters given the observed spectra are represented as a population of weighted particles.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Jake Carson [aut], Mark Girolami [aut], Engineering and Physical Sciences Research Council [fnd] (EPSRC programme grant ref: EP/L014165/1), University of Warwick [cph]
Maintainer: Matt Moores <M.T.Moores@warwick.ac.uk>

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Package gambin updated to version 2.3.0 with previous version 2.2.0 dated 2017-12-05

Title: Fit the Gambin Model to Species Abundance Distributions
Description: Fits unimodal and multimodal gambin distributions to species-abundance distributions from ecological data, as in in Matthews et al. (2014) <DOI:10.1111/ecog.00861>. 'gambin' is short for 'gamma-binomial'. The main function is fit_abundances(), which estimates the 'alpha' parameter(s) of the gambin distribution using maximum likelihood. Functions are also provided to generate the gambin distribution and for calculating likelihood statistics.
Author: Thomas Matthews [aut, cre], Michael Krabbe Borregaard [aut], Karl Ugland [aut], Colin Gillespie [aut]
Maintainer: Thomas Matthews <txm676@gmail.com>

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Package ratios updated to version 1.2.0 with previous version 1.1.0 dated 2017-07-18

Title: Calculating Ratios Between Two Data Sets and Correction for Adhering Particles on Plants
Description: Calculation of ratios between two data sets containing environmental data like element concentrations by different methods. Additionally plant element concentrations can be corrected for adhering particles (soil, airborne dust).
Author: Solveig Pospiech [aut, cre], Wiebke Fahlbusch [ctb]
Maintainer: Solveig Pospiech <s.pospiech@gmx.de>

Diff between ratios versions 1.1.0 dated 2017-07-18 and 1.2.0 dated 2018-02-18

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Package Phase123 updated to version 1.4 with previous version 1.2 dated 2018-02-07

Title: Simulating and Conducting Phase 123 Trials
Description: Contains three simulation functions for implementing the entire Phase 123 trial and the separate Eff-Tox and Phase 3 portions of the trial, which may be beneficial for use on clusters. The functions AssignEffTox() and RandomizeEffTox() assign doses to patient cohorts during phase 12 and Reoptimize() determines the optimal dose to continue with during Phase 3. The functions ReturnMeansAgent() and ReturnMeanControl() gives the true mean survival for the agent doses and control and ReturnOCS() gives the operating characteristics of the design.
Author: Andrew G Chapple
Maintainer: Andrew Chapple <andrew.g.chapple@rice.edu>

Diff between Phase123 versions 1.2 dated 2018-02-07 and 1.4 dated 2018-02-18

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Package likelihoodAsy updated to version 0.50 with previous version 0.45 dated 2016-11-02

Title: Functions for Likelihood Asymptotics
Description: Functions for computing the r and r* statistics for inference on an arbitrary scalar function of model parameters, plus some code for the (modified) profile likelihood.
Author: Ruggero Bellio and Donald Pierce
Maintainer: Ruggero Bellio <ruggero.bellio@uniud.it>

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Package RJafroc updated to version 1.0.1 with previous version 1.0.0 dated 2018-02-04

Title: Modeling, Analysis, Validation and Visualization of Observer Performance Studies in Diagnostic Radiology
Description: Tools for quantitative assessment of medical imaging systems, radiologists or computer aided ('CAD') algorithms. Implements methods described in a book: 'Chakraborty' 'DP' (2017), "Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples", Taylor-Francis <https://www.crcpress.com/9781482214840>. Data collection paradigms include receiver operating characteristic ('ROC') and its location specific extensions, primarily free-response 'ROC' ('FROC'). 'ROC' data consists of a single rating per image, where the rating is the perceived confidence level the image is of a diseased patient. 'FROC' data consists of a variable number (including zero) of mark-rating pairs per image, where a mark is the location of a clinically reportable suspicious region and the rating is the corresponding confidence level that it is a true lesion. The software supersedes the current Windows version of 'JAFROC' software <http://www.devchakraborty.com>. 'RJafroc' is derived from it being an enhanced R version of original Windows 'JAFROC'. Implemented are a number of figures of merit quantifying performance, functions for visualizing operating characteristics; three ROC ratings data curve-fitting algorithms: the 'binormal' model ('BM'), the contaminated binormal model ('CBM') and the radiological search model ('RSM'). Unlike the 'BM', the 'CBM' and the 'RSM' predict proper ROC curves that do not cross the chance diagonal or display inappropriate hooks near the upper right corner of the plots. 'RSM' fitting additionally yields measures of search and lesion-classification performances, in addition to the usual case-classification performance measured by the area under the 'ROC' curve. Search performance is the ability to find lesions while avoiding finding non-lesions. Lesion-classification performance is the ability to discriminate between found lesions and non-lesions. For fully crossed study designs, termed multiple-reader multiple-case, significance testing of reader-averaged figure-of-merit differences between modalities is implemented via both 'Dorfman', 'Berbaum' and 'Metz' ('DBM') and the 'Obuchowski' and 'Rockette' ('OR') methods. Single treatment analysis allows comparison of performance of a group of radiologists to a specified value, or comparison of 'CAD' performance to a group of radiologists interpreting the same cases. Sample size estimation tools are provided for 'ROC' and 'FROC' studies that allow estimation of relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study. Utility and data file manipulation functions allow data to be read in any of the currently used input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. The package is used extensively in the online appendices of the cited book. Directions for accessing the online material are available by following the software tab of <http://www.devchakraborty.com>.
Author: Dev Chakraborty [cre, aut, cph], Xuetong Zhai [aut, cph], Lucy D'Agostino McGowan [ctb]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>

Diff between RJafroc versions 1.0.0 dated 2018-02-04 and 1.0.1 dated 2018-02-18

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More information about RJafroc at CRAN
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Package imbalance updated to version 1.0.0 with previous version 0.1.1 dated 2017-11-15

Title: Preprocessing Algorithms for Imbalanced Datasets
Description: Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to perform oversampling.
Author: Ignacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut]
Maintainer: Ignacio Cordón <nacho.cordon.castillo@gmail.com>

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Package githubinstall updated to version 0.2.2 with previous version 0.2.1 dated 2016-11-21

Title: A Helpful Way to Install R Packages Hosted on GitHub
Description: Provides an helpful way to install packages hosted on GitHub.
Author: Koji Makiyama [cre, aut], Atsushi Hayakawa [ctb], Shinya Uryu [ctb], Hiroaki Yutani [ctb], Nagi Teramo [ctb], Kazuhiro Maeda [ctb]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

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Package EpiILM updated to version 1.4.1 with previous version 1.4 dated 2018-02-03

Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar. K. V. and Rob Deardon
Maintainer: Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>

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Package ECOSolveR updated to version 0.4 with previous version 0.3-2 dated 2017-09-25

Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient and robust C library for convex problems. Conic and equality constraints can be specified in addition to integer and boolean variable constraints for mixed-integer problems. This R interface is inspired by the python interface and has similar calling conventions.
Author: Anqi Fu [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package tidyLPA updated to version 0.1.2 with previous version 0.1.1 dated 2018-02-14

Title: Easily Carry Out Latent Profile Analysis
Description: An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.
Author: Joshua M Rosenberg [aut, cre], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Rebecca R Steingut [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>

Diff between tidyLPA versions 0.1.1 dated 2018-02-14 and 0.1.2 dated 2018-02-18

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Package metamisc updated to version 0.1.8 with previous version 0.1.7 dated 2017-11-20

Title: Diagnostic and Prognostic Meta-Analysis
Description: Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of prognostic factors, diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models. Develop new prediction models with data from multiple studies.
Author: Thomas Debray [aut, cre], Valentijn de Jong [aut]
Maintainer: Thomas Debray <thomas.debray@gmail.com>

Diff between metamisc versions 0.1.7 dated 2017-11-20 and 0.1.8 dated 2018-02-18

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Package bookdown updated to version 0.7 with previous version 0.6 dated 2018-01-25

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

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Package spacyr updated to version 0.9.6 with previous version 0.9.3 dated 2017-11-10

Title: Wrapper to the 'spaCy' 'NLP' Library
Description: An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <http://spacy.io>.
Author: Kenneth Benoit [aut, cre, cph], Akitaka Matsuo [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package qtl updated to version 1.42-7 with previous version 1.41-6 dated 2017-06-12

Title: Tools for Analyzing QTL Experiments
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
Author: Karl W Broman <kbroman@biostat.wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, and Brian Yandell
Maintainer: Karl W Broman <kbroman@biostat.wisc.edu>

Diff between qtl versions 1.41-6 dated 2017-06-12 and 1.42-7 dated 2018-02-18

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More information about qtl at CRAN
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Package WRSS updated to version 1.1 with previous version 1.0 dated 2017-11-09

Title: Water Resources System Simulator
Description: Water resources system simulator is a tool for simulation and analysis of large-scale water resources systems.'WRSS' proposes functions and methods for construction, simulation and analysis of primary water resources features (e.g. reservoirs, aquifers, and etc.) based on Standard Operating Policy (SOP).
Author: Rezgar Arabzadeh; Parisa Aberi; Kaveh Panaghi; Shahab Araghinejad; Majid Montaseri
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>

Diff between WRSS versions 1.0 dated 2017-11-09 and 1.1 dated 2018-02-18

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Package biosignalEMG updated to version 2.1.0 with previous version 2.0.2 dated 2018-02-09

Title: Tools for Electromyogram Signals (EMG) Analysis
Description: Data processing tools to compute the rectified, integrated and the averaged EMG. Routines for automatic detection of activation phases. A routine to compute and plot the ensemble average of the EMG. An EMG signal simulator for general purposes.
Author: J.A. Guerrero, J.E. Macias-Diaz
Maintainer: Antonio Guerrero <jaguerrero@correo.uaa.mx>

Diff between biosignalEMG versions 2.0.2 dated 2018-02-09 and 2.1.0 dated 2018-02-18

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