Sat, 20 Jan 2018

Package seplyr updated to version 0.5.2 with previous version 0.5.1 dated 2018-01-03

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package replyr updated to version 0.9.1 with previous version 0.9.0 dated 2017-11-12

Title: Reliable Plying of Remote or Big Data with R
Description: Methods to use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between replyr versions 0.9.0 dated 2017-11-12 and 0.9.1 dated 2018-01-20

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Package castor updated to version 1.3.2 with previous version 1.3 dated 2017-11-29

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulations for large phylogenies, including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism). Ancestral state reconstruction and hidden character prediction of discrete characters, using maximum likelihood and maximum parsimony methods. Simulating and fitting models of trait evolution, and generating random trees using birth-death models. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

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Package ewoc updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-18

Title: Escalation with Overdose Control
Description: An implementation of a variety of escalation with overdose control designs introduced by Babb, Rogatko and Zacks (1998) <doi:10.1002/(SICI)1097-0258(19980530)17:10%3C1103::AID-SIM793%3E3.0.CO;2-9>. It calculates the next dose as a clinical trial proceeds as well as performs simulations to obtain operating characteristics.
Author: Marcio A. Diniz <marcio.diniz@cshs.org>
Maintainer: Marcio A. Diniz <marcio.diniz@cshs.org>

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Package unpivotr updated to version 0.3.1 with previous version 0.3.0 dated 2017-12-03

Title: Unpivot Complex and Irregular Data Layouts
Description: Tools for converting data from complex or irregular layouts to a columnar structure. For example, tables with multilevel column or row headers, or spreadsheets. Header and data cells are selected by their contents and position, as well as formatting and comments where available, and are associated with one other by their proximity in given directions. Functions for data frames and HTML tables are provided.
Author: Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

Diff between unpivotr versions 0.3.0 dated 2017-12-03 and 0.3.1 dated 2018-01-20

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Package agriTutorial updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-09

Title: Tutorial Analysis of Some Agricultural Experiments
Description: Example software for the analysis of data from designed experiments, especially agricultural crop experiments. The basics of the statistical analysis of designed experiments are discussed using real examples from agricultural field trials. A range of statistical methods are exemplified using a range of R statistical packages. The experimental data is made available as separate data sets for each example and the R analysis code is made available as example code. The example code can be readily extended, as required.
Author: R. N. Edmondson and H.P. Piepho
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

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Package vtreat updated to version 1.0.2 with previous version 1.0.1 dated 2017-10-16

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). 'vtreat::prepare' should be used as you would use 'model.matrix'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between vtreat versions 1.0.1 dated 2017-10-16 and 1.0.2 dated 2018-01-20

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Package urltools updated to version 1.7.0 with previous version 1.6.0 dated 2016-10-16

Title: Vectorised Tools for URL Handling and Parsing
Description: A toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Author: Oliver Keyes [aut, cre], Jay Jacobs [aut, cre], Drew Schmidt [aut], Mark Greenaway [ctb], Bob Rudis [ctb], Alex Pinto [ctb], Maryam Khezrzadeh [ctb], Peter Meilstrup [ctb], Adam M. Costello [cph], Jeff Bezanson [cph], Peter Meilstrup [ctb], Xueyuan Jiang [ctb]
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between urltools versions 1.6.0 dated 2016-10-16 and 1.7.0 dated 2018-01-20

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Package svgViewR updated to version 1.3 with previous version 1.2 dated 2016-09-26

Title: 3D Animated Interactive Visualizations Using SVG
Description: Creates 3D animated, interactive visualizations that can be viewed in a web browser.
Author: Aaron Olsen
Maintainer: Aaron Olsen <aarolsen@gmail.com>

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Package StanHeaders updated to version 2.17.2 with previous version 2.17.1 dated 2017-12-20

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains no R code, vignettes, or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut], Mitzi Morris [aut], Jeffrey Arnold [aut], Rob Goedman [aut], Brian Lau [aut], Rob Trangucci [aut], Jonah Gabry [aut], Alp Kucukelbir [aut], Robert Grant [aut], Dustin Tran [aut], Michael Malecki [aut], Yuanjun Gao [aut], Trustees of Columbia University [cph], Lawrence Livermore National Security [cph] (CVODES), The Regents of the University of California [cph] (CVODES), Southern Methodist University [cph] (CVODES)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between StanHeaders versions 2.17.1 dated 2017-12-20 and 2.17.2 dated 2018-01-20

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Permanent link

Package Rwave updated to version 2.4-8 with previous version 2.4-5 dated 2017-03-21

Title: Time-Frequency Analysis of 1-D Signals
Description: A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.
Author: Rene Carmona [aut], Bruno Torresani [aut], Brandon Whitcher [ctb], Andrea Wang [ctb], Wen-Liang Hwang [ctb], Jonathan M. Lees [ctb, cre]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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More information about Rwave at CRAN
Permanent link

Package rstan updated to version 2.17.3 with previous version 2.17.2 dated 2017-12-20

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.17.2 dated 2017-12-20 and 2.17.3 dated 2018-01-20

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Package Rcpp updated to version 0.12.15 with previous version 0.12.14 dated 2017-11-23

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2017, <doi:10.7287/peerj.preprints.3188v1>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.14 dated 2017-11-23 and 0.12.15 dated 2018-01-20

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Package MODIS updated to version 1.1.1 with previous version 1.1.0 dated 2017-07-03

Title: Acquisition and Processing of MODIS Products
Description: Download and processing functionalities for the Moderate Resolution Imaging Spectroradiometer (MODIS). The package provides automated access to the global online data archives LP DAAC (<https://lpdaac.usgs.gov/>) and LAADS (<https://ladsweb.modaps.eosdis.nasa.gov/>) and processing capabilities such as file conversion, mosaicking, subsetting and time series filtering.
Author: Matteo Mattiuzzi [aut], Jan Verbesselt [ctb], Tomislav Hengl [ctb], Anja Klisch [ctb], Forrest Stevens [ctb], Steven Mosher [ctb], Bradley Evans [ctb], Agustin Lobo [ctb], Koen Hufkens [ctb], Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

Diff between MODIS versions 1.1.0 dated 2017-07-03 and 1.1.1 dated 2018-01-20

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Package metacom updated to version 1.5.0 with previous version 1.4.9 dated 2017-09-25

Title: Analysis of the 'Elements of Metacommunity Structure'
Description: Functions to analyze coherence, boundary clumping, and turnover following the pattern-based metacommunity analysis of Leibold and Mikkelson 2002 <doi:10.1034/j.1600-0706.2002.970210.x>. The package also includes functions to visualize ecological networks, and to calculate modularity as a replacement to boundary clumping.
Author: Tad Dallas
Maintainer: Tad Dallas <tdallas@ucdavis.edu>

Diff between metacom versions 1.4.9 dated 2017-09-25 and 1.5.0 dated 2018-01-20

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Package htmlwidgets updated to version 1.0 with previous version 0.9 dated 2017-07-10

Title: HTML Widgets for R
Description: A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web applications.
Author: Ramnath Vaidyanathan [aut, cph], Yihui Xie [aut], JJ Allaire [aut, cre], Joe Cheng [aut], Kenton Russell [aut, cph], RStudio [cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package htmlTable updated to version 1.11.2 with previous version 1.11.1 dated 2017-12-27

Title: Advanced Tables for Markdown/HTML
Description: Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/'LaTeX'.
Author: Max Gordon [aut, cre], Stephen Gragg [aut], Peter Konings [aut]
Maintainer: Max Gordon <max@gforge.se>

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Package heatmaply updated to version 0.14.0 with previous version 0.13.0 dated 2017-11-13

Title: Interactive Cluster Heat Maps Using 'plotly'
Description: Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Jonathan Sidi [ctb] (https://github.com/yonicd), Alan O'Callaghan [ctb] (https://github.com/Alanocallaghan), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package equSA updated to version 1.1.5 with previous version 1.1.4 dated 2018-01-10

Title: Estimate Directed and Undirected Graphical Models and Construct Networks
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data, for jointly estimating multiple Gaussian Graphical Models and constructing directed acyclic graph (Bayesian Network).
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409@ufl.edu>

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Package dat updated to version 0.4.0 with previous version 0.3.0 dated 2017-07-22

Title: Tools for Data Manipulation
Description: An implementation of common higher order functions with syntactic sugar for anonymous function. Provides also a link to 'dplyr' for common transformations on data frames to work around non standard evaluation by default.
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <wahani@gmail.com>

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Package cdata updated to version 0.5.2 with previous version 0.5.1 dated 2018-01-04

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data transform operators that include pivot and anti-pivot as special cases. Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package RClickhouse updated to version 0.4.0 with previous version 0.3.0 dated 2017-11-26

Title: A 'DBI' Interface to the 'Yandex Clickhouse' Database Providing Basic 'dplyr' Support
Description: 'Yandex Clickhouse' (<https://clickhouse.yandex/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
Author: Christian Hotz-Behofsits [aut, cre], Clemens Danninger [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], Markus Heule [aut], Google [cph], Yann Collet [cph]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>

Diff between RClickhouse versions 0.3.0 dated 2017-11-26 and 0.4.0 dated 2018-01-20

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More information about RClickhouse at CRAN
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Package Surrogate updated to version 0.6 with previous version 0.5 dated 2017-10-08

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.5 dated 2017-10-08 and 0.6 dated 2018-01-20

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More information about Surrogate at CRAN
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Package WVPlots updated to version 0.2.8 with previous version 0.2.7 dated 2017-11-28

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 0.2.7 dated 2017-11-28 and 0.2.8 dated 2018-01-20

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More information about WVPlots at CRAN
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