Mon, 21 Aug 2017

New package simpleCache with initial version 0.3.0
Package: simpleCache
Version: 0.3.0
Date: 2017-08-21
Title: Simply Caching R Objects
Description: Provides intuitive functions for caching R objects, encouraging reproducible, restartable, and distributed R analysis. The user selects a location to store caches, and then provides nothing more than a cache name and instructions (R code) for how to produce the R object. Also provides some advanced options like environment assignments, recreating or reloading caches, and cluster compute bindings (using the 'batchtools' package) making it flexible enough for use in large-scale data analysis projects.
Authors@R: c(person("VP", "Nagraj", email = "vpnagraj@virginia.edu", role = c("aut")), person("Nathan", "Sheffield", email = "nathan@code.databio.org", role = c("aut", "cre")))
Maintainer: Nathan Sheffield <nathan@code.databio.org>
Suggests: knitr, testthat
Enhances: batchtools
VignetteBuilder: knitr
License: GPL-3
URL: http://www.github.com/databio/simpleCache
BugReports: http://www.github.com/databio/simpleCache
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-21 16:28:07 UTC; ns5bc
Author: VP Nagraj [aut], Nathan Sheffield [aut, cre]
Repository: CRAN
Date/Publication: 2017-08-21 19:13:47 UTC

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Package seplyr updated to version 0.1.4 with previous version 0.1.3 dated 2017-08-01

Title: Standard Evaluation Interfaces for Common 'dplyr' Tasks
Description: The 'seplyr' (standard evaluation data.frame 'dplyr') package supplies standard evaluation adapter methods for important common 'dplyr' methods that currently have a non-standard programming interface. This allows the analyst to use 'dplyr' to perform fundamental data transformation steps such as arranging rows, grouping rows, aggregating selecting columns without having to use learn the details of 'rlang'/'tidyeval' non-standard evaluation and without continuing to rely on now deprecated 'dplyr' "underscore verbs." 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), and 'add_group_indices()' (which adds per-group identifies to a 'data.frame' without depending on row-order).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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New package psychmeta with initial version 0.1.0
Package: psychmeta
Type: Package
Title: Psychometric Meta-Analysis Toolkit
Version: 0.1.0
Date: 2017-08-15
Authors@R: c(person("Jeffrey A.", "Dahlke", role = c("aut", "cre"), email = "dahlk068@umn.edu"), person("Brenton M.", "Wiernik", role = "aut", email = "psychmeta@wiernik.org"), person("Michael T.", "Brannick", role = "ctb"), person("Jack", "Kostal", role = "ctb"), person("Sean", "Potter", role = "ctb"), person("Yuejia (Mandy)", "Teng", role = "ctb"))
Maintainer: Jeffrey A. Dahlke <dahlk068@umn.edu>
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: MASS, boot, tmvtnorm, tibble, reshape2, ggplot2, dplyr, stats, metafor
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-16 16:11:52 UTC; dahlk068
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], Yuejia (Mandy) Teng [ctb]
Repository: CRAN
Date/Publication: 2017-08-21 18:49:27 UTC

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Package BNSP updated to version 2.0.1 with previous version 2.0.0 dated 2017-08-20

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab for variable selection in mean/variance regression models.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Diff between BNSP versions 2.0.0 dated 2017-08-20 and 2.0.1 dated 2017-08-21

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Package ProjectionBasedClustering updated to version 1.0.4 with previous version 1.0.2 dated 2017-08-01

Title: Projection Based Clustering
Description: A clustering approach for every projection method based on the generalized U*-matrix visualization of a topographic map is made available here [Thrun/Ultsch,2017] <DOI:10.13140/RG.2.2.13124.53124>. The number of clusters and the cluster structure can be estimated by counting the valleys in a topographic map. If the number of clusters and the clustering method are chosen correctly, then the clusters will be well separated by mountains in the visualization. Most projection methods are wrappers for already available methods in R. However, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.
Author: Michael Thrun [aut, cre], Florian Lerch [aut], Felix Pape [aut], Kristian Nybo [cph], Jarkko Venna [cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package BayesBD updated to version 1.2 with previous version 1.1 dated 2016-12-14

Title: Bayesian Inference for Image Boundaries
Description: Provides tools for carrying out a Bayesian analysis of image boundaries. Functions are provided for both binary (Bernoulli) and continuous (Gaussian) images. Examples, along with an interactive shiny function illustrate how to perform simulations, analyze custom data, and plot estimates and credible intervals.
Author: Nicholas Syring, Meng Li
Maintainer: Nicholas Syring <nasyrin@gmail.com>

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Package RJSplot updated to version 2.3 with previous version 2.1 dated 2017-05-19

Title: Interactive Graphs with R
Description: Creates interactive graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package.
Author: Carlos Prieto <cprietos@usal.es>, David Barrios <metal@usal.es>
Maintainer: Carlos Prieto <cprietos@usal.es>

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Package influxdbr updated to version 0.13.0 with previous version 0.12.0 dated 2017-07-13

Title: R Interface to InfluxDB
Description: An R interface to the InfluxDB time series database <https://www.influxdata.com>. This package allows you to fetch and write time series data from/to an InfluxDB server. Additionally, handy wrappers for the Influx Query Language (IQL) to manage and explore a remote database are provided.
Author: Dominik Leutnant [aut, cre]
Maintainer: Dominik Leutnant <leutnant@fh-muenster.de>

Diff between influxdbr versions 0.12.0 dated 2017-07-13 and 0.13.0 dated 2017-08-21

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Package descomponer updated to version 1.4 with previous version 1.3 dated 2017-04-24

Title: Seasonal Adjustment by Frequency Analysis
Description: Decompose a time series into seasonal, trend and irregular components using transformations to amplitude-frequency domain.
Author: Francisco Parra <parra_fj@cantabria.es>
Maintainer: Francisco Parra <parra_fj@cantabria.es>

Diff between descomponer versions 1.3 dated 2017-04-24 and 1.4 dated 2017-08-21

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Package BeviMed updated to version 5.3 with previous version 5.1 dated 2017-07-03

Title: Bayesian Evaluation of Variant Involvement in Mendelian Disease
Description: A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.
Author: Daniel Greene, Sylvia Richardson and Ernest Turro
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package RBesT updated to version 1.2-3 with previous version 1.2-2 dated 2017-07-12

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases).
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package npcp updated to version 0.1-7 with previous version 0.1-6 dated 2015-07-24

Title: Some Nonparametric CUSUM Tests for Change-Point Detection in Possibly Multivariate Observations
Description: Provides nonparametric CUSUM tests for detecting changes in possibly serially dependent univariate or multivariate observations. Tests sensitive to changes in the expectation, the variance, the covariance, the autocovariance, the distribution function, Spearman's rho, Kendall's tau, Gini's mean difference, and the copula are provided, as well as a test for detecting changes in the distribution of independent block maxima (with environmental studies in mind). The latest additions are a test sensitive to changes in the autocopula and a combined test of stationarity sensitive to changes in the distribution function and the autocopula.
Author: Ivan Kojadinovic
Maintainer: Ivan Kojadinovic <ivan.kojadinovic@univ-pau.fr>

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Package RVAideMemoire updated to version 0.9-68 with previous version 0.9-66 dated 2017-07-10

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as much methods from different packages as possible.
Author: Maxime Hervé
Maintainer: Maxime Hervé <maxime.herve@univ-rennes1.fr>

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Package revdbayes updated to version 1.2.1 with previous version 1.2.0 dated 2017-07-14

Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. See the 'revdbayes' website for more information, documentation and examples.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

Diff between revdbayes versions 1.2.0 dated 2017-07-14 and 1.2.1 dated 2017-08-21

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Package moveVis updated to version 0.9.5 with previous version 0.9.4 dated 2017-06-29

Title: Movement Data Visualization
Description: Tools to visualize movement data of any kind, e. g. by creating path animations from GPS point data.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>

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Package magick updated to version 1.2 with previous version 1.1 dated 2017-08-14

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between magick versions 1.1 dated 2017-08-14 and 1.2 dated 2017-08-21

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Package KFAS updated to version 1.2.9 with previous version 1.2.8 dated 2017-06-08

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. KFAS (Helske 2017) <doi:10.18637/jss.v078.i10> includes fast functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions.
Author: Jouni Helske <jouni.helske@iki.fi>
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between KFAS versions 1.2.8 dated 2017-06-08 and 1.2.9 dated 2017-08-21

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New package ggfittext with initial version 0.4.3
Package: ggfittext
Title: Fit Text Inside a Box in 'ggplot2'
Version: 0.4.3
Authors@R: person("David", "Wilkins", email = "david@wilkox.org", role = c("aut", "cre"))
Description: Provides 'ggplot2' geoms to fit text into a box by growing, shrinking or wrapping the text.
Depends: R (>= 3.3.2)
License: GPL-2
LazyData: true
Imports: grid (>= 3.4.1), stringi (>= 1.1.2), ggplot2 (>= 2.2.1)
RoxygenNote: 6.0.1
URL: https://github.com/wilkox/ggfittext
BugReports: https://github.com/wilkox/ggfittext/issues
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-08-21 10:58:07 UTC; wilkox
Author: David Wilkins [aut, cre]
Maintainer: David Wilkins <david@wilkox.org>
Repository: CRAN
Date/Publication: 2017-08-21 11:16:04 UTC

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Package highriskzone updated to version 1.4-1 with previous version 1.3-1 dated 2016-03-11

Title: Determining and Evaluating High-Risk Zones
Description: Functions for determining and evaluating high-risk zones and simulating and thinning point process data, as described in 'Determining high risk zones using point process methodology - Realization by building an R package' Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> and 'Determining high-risk zones for unexploded World War II bombs by using point process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.
Author: Heidi Seibold <Heidi.Seibold@uzh.ch>, Monia Mahling <monia.mahling@stat.uni-muenchen.de>, Sebastian Linne <Sebastian.Linne@campus.lmu.de>, Felix Guenther <felix.guenther@stat.uni-muenchen.de>
Maintainer: Felix Guenther <felix.guenther@stat.uni-muenchen.de>

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More information about highriskzone at CRAN
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Package fastcluster updated to version 1.1.24 with previous version 1.1.23 dated 2017-08-21

Title: Fast Hierarchical Clustering Routines for R and Python
Description: This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the SciPy package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.
Author: Daniel Müllner [aut, cph, cre]
Maintainer: Daniel Müllner <daniel@danifold.net>

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Package dartR updated to version 0.93 with previous version 0.91 dated 2017-08-15

Title: Importing and Analysing Snp and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Description: Functions are provided that facilitate the import and analysis of snp and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE. Other functions are available for visualization after PCoA, or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip packages etc.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package vegdata updated to version 0.9.1 with previous version 0.9 dated 2016-07-15

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources ( Turboveg <http://www.synbiosys.alterra.nl/turboveg/>; the German national repository <http://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <http://germansl.infinitenature.org>).
Author: Florian Jansen <florian.jansen@uni-rostock.de>
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

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Package sjstats updated to version 0.11.0 with previous version 0.10.3 dated 2017-07-23

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package MANOVA.RM updated to version 0.1.2 with previous version 0.1.1 dated 2017-07-10

Title: Analysis of Multivariate Data and Repeated Measures Designs
Description: Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@uni-ulm.de>

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More information about MANOVA.RM at CRAN
Permanent link

New package ircor with initial version 1.0
Package: ircor
Title: Correlation Coefficients for Information Retrieval
Version: 1.0
Authors@R: c(person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre")), person("Mónica", "Marrero", email = "marrero.monica@gmail.com", role = c("aut")))
Description: Provides implementation of various correlation coefficients of common use in Information Retrieval. In particular, it includes Kendall (1970, isbn:0852641990) tau coefficient as well as tau_a and tau_b for the treatment of ties. It also includes Yilmaz et al. (2008) <doi:10.1145/1390334.1390435> tauAP correlation coefficient, and versions tauAP_a and tauAP_b developed by Urbano and Marrero (2017) <doi:10.1145/3121050.3121106> to cope with ties.
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
BugReports: https://github.com/julian-urbano/ircor/issues
URL: https://github.com/julian-urbano/ircor/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-08-21 08:25:25 UTC; caerolus
Author: Julián Urbano [aut, cre], Mónica Marrero [aut]
Maintainer: Julián Urbano <urbano.julian@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-21 09:07:29 UTC

More information about ircor at CRAN
Permanent link

Package DiagrammeR updated to version 0.9.1 with previous version 0.9.0 dated 2017-01-03

Title: Graph/Network Visualization
Description: Graph and network visualization using tabular data.
Author: Knut Sveidqvist [aut, cph] (mermaid.js library in htmlwidgets/lib, http://github.com/knsv/mermaid/), Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Chris Pettitt [aut, cph] (dagre-d3.js library in htmlwidgets/lib, http://github.com/cpettitt/dagre-d3), Mike Daines [aut, cph] (viz.js library in htmlwidgets/lib, http://github.com/mdaines/viz.js/), Richard Iannone [aut, cre] (R interface)
Maintainer: Richard Iannone <riannone@me.com>

Diff between DiagrammeR versions 0.9.0 dated 2017-01-03 and 0.9.1 dated 2017-08-21

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Package d3r updated to version 0.6.9 with previous version 0.6.8 dated 2017-08-13

Title: 'd3.js' Utilities for R
Description: Helper functions for using 'd3.js' in R.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface), Gregor Aisch [aut, cph] (d3-jetpack creator, https://github.com/gka/d3-jetpack), Adam Pearce [aut] (core contributor to d3-jetpack), Ben Ortiz [ctb]
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between d3r versions 0.6.8 dated 2017-08-13 and 0.6.9 dated 2017-08-21

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 4 files changed, 23 insertions(+), 14 deletions(-)

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Package KappaGUI updated to version 2.0.1 with previous version 2.0.0 dated 2017-07-08

Title: GUI for Cohen's and Fleiss' Kappa
Description: A Shiny front-end for the package 'irr' to compute Cohen's and Fleiss' Kappa.
Author: Frederic Santos
Maintainer: Frederic Santos <frederic.santos@u-bordeaux.fr>

Diff between KappaGUI versions 2.0.0 dated 2017-07-08 and 2.0.1 dated 2017-08-21

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Package fastcluster updated to version 1.1.23 with previous version 1.1.22 dated 2016-12-09

Title: Fast Hierarchical Clustering Routines for R and Python
Description: This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the SciPy package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.
Author: Daniel Müllner [aut, cph, cre]
Maintainer: Daniel Müllner <daniel@danifold.net>

Diff between fastcluster versions 1.1.22 dated 2016-12-09 and 1.1.23 dated 2017-08-21

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Package dynr updated to version 0.1.11-8 with previous version 0.1.11-2 dated 2017-06-16

Title: Dynamic Modeling in R
Description: Intensive longitudinal data have become increasingly prevalent in various scientific disciplines. Many such data sets are noisy, multivariate, and multi-subject in nature. The change functions may also be continuous, or continuous but interspersed with periods of discontinuities (i.e., showing regime switches). The package 'dynr' (Dynamic Modeling in R) is an R package that implements a set of computationally efficient algorithms for handling a broad class of linear and nonlinear discrete- and continuous-time models with regime-switching properties under the constraint of linear Gaussian measurement functions. The discrete-time models can generally take on the form of a state- space or difference equation model. The continuous-time models are generally expressed as a set of ordinary or stochastic differential equations. All estimation and computations are performed in C, but users are provided with the option to specify the model of interest via a set of simple and easy-to-learn model specification functions in R. Model fitting can be performed using single- subject time series data or multiple-subject longitudinal data.
Author: Lu Ou [aut], Michael D. Hunter [aut, cre], Sy-Miin Chow [aut]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>

Diff between dynr versions 0.1.11-2 dated 2017-06-16 and 0.1.11-8 dated 2017-08-21

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New package cosinor2 with initial version 0.1.0
Package: cosinor2
Title: Extended Tools for Cosinor Analysis of Rhythms
Version: 0.1.0
Author: Augustin Mutak <aumutak@ffzg.hr>
Maintainer: Augustin Mutak <aumutak@ffzg.hr>
Description: Statistical procedures for calculating population–mean cosinor, non–stationary cosinor, estimation of best–fitting period, tests of population rhythm differences and more. See Cornélissen, G. (2014). <doi:10.1186/1742-4682-11-16>.
Depends: R (>= 2.10), cosinor (>= 1.1), ggplot2 (>= 2.2.1), matrixStats (>= 0.52.2), Hmisc (>= 4.0-3)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 6.0.1
LazyData: True
URL: https://github.com/amutak/cosinor2
NeedsCompilation: no
Packaged: 2017-08-21 05:07:37 UTC; Augustin
Repository: CRAN
Date/Publication: 2017-08-21 08:35:41 UTC

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Package ChemometricsWithR updated to version 0.1.10 with previous version 0.1.9 dated 2015-09-04

Title: Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences
Description: Functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences" by Ron Wehrens, Springer (2011).
Author: Ron Wehrens
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between ChemometricsWithR versions 0.1.9 dated 2015-09-04 and 0.1.10 dated 2017-08-21

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Package vardpoor updated to version 0.9.8 with previous version 0.9.6 dated 2017-07-08

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.9.6 dated 2017-07-08 and 0.9.8 dated 2017-08-21

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Package InfoTrad updated to version 1.2 with previous version 1.1 dated 2017-02-11

Title: Calculates the Probability of Informed Trading (PIN)
Description: Estimates the probability of informed trading (PIN) initially introduced by Easley et. al. (1996) <doi:10.1111/j.1540-6261.1996.tb04074.x> . Contribution of the package is that it uses likelihood factorizations of Easley et. al. (2010) <doi:10.1017/S0022109010000074> (EHO factorization) and Lin and Ke (2011) <doi:10.1016/j.finmar.2011.03.001> (LK factorization). Moreover, the package uses different estimation algorithms. Specifically, the grid-search algorithm proposed by Yan and Zhang (2012) <doi:10.1016/j.jbankfin.2011.08.003> , hierarchical agglomerative clustering approach proposed by Gan et. al. (2015) <doi:10.1080/14697688.2015.1023336> and later extended by Ersan and Alici (2016) <doi:10.1016/j.intfin.2016.04.001> .
Author: Duygu Celik and Murat Tinic
Maintainer: Murat Tinic <tinic@bilkent.edu.tr>

Diff between InfoTrad versions 1.1 dated 2017-02-11 and 1.2 dated 2017-08-21

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Sun, 20 Aug 2017

New package sure with initial version 0.1.2
Package: sure
Type: Package
Title: Surrogate Residuals for Ordinal and General Regression Models
Description: An implementation of the surrogate approach to residuals and diagnostics for ordinal and general regression models; for details, see Liu and Zhang (2017) <doi:10.1080/01621459.2017.1292915>. These residuals can be used to construct standard residual plots for model diagnostics (e.g., residual-vs-fitted value plots, residual-vs-covariate plots, Q-Q plots, etc.). The package also provides an 'autoplot' function for producing standard diagnostic plots using 'ggplot2' graphics. The package currently supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and 'VGAM'. Support for binary regression models using the standard 'glm' function is also available.
Version: 0.1.2
Authors@R: c( person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com", role = c("aut", "cre")), person("Andrew", "McCarthy", email = "andrew.mccarthy@theperducogroup.com", role = c("aut")), person("Brad", "Boehmke", email = "bradleyboehmke@gmail.com", role = c("aut")), person("Dungang", "Liu", email = "dungang.liu@uc.edu", role = c("ctb")) )
Depends: R (>= 3.1)
Imports: ggplot2 (>= 2.2.1), goftest, gridExtra, stats
Suggests: MASS, ordinal, rms, testthat, VGAM
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-20 21:09:48 UTC; greenweb
Author: Brandon Greenwell [aut, cre], Andrew McCarthy [aut], Brad Boehmke [aut], Dungang Liu [ctb]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-20 22:20:00 UTC

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New package komadown with initial version 0.1.0
Package: komadown
Title: R Markdown Templates for the 'KOMA-Script' Classes
Version: 0.1.0
Authors@R: person("Johan", "Larsson", email = "johanlarsson@outlook.com", role = c("aut", "cre"))
Description: R Markdown templates based on the 'KOMA-Script' classes for LaTeX, additionally offering cross-referencing via the 'bookdown' package.
Depends: R (>= 3.3.3)
License: GPL-3
Encoding: UTF-8
Imports: bookdown, rmarkdown, knitr
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/jolars/komadown
BugReports: https://github.com/jolars/komadown/issues
Suggests: testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-08-20 19:51:05 UTC; johan
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johanlarsson@outlook.com>
Repository: CRAN
Date/Publication: 2017-08-20 22:16:17 UTC

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New package blastula with initial version 0.1
Package: blastula
Title: Easily Send HTML Email Messages
Version: 0.1
Authors@R: person("Rich", "Iannone", email = "riannone@me.com", role = c("aut", "cre"))
Description: Compose and send out responsive HTML email messages that render perfectly across a range of email clients and device sizes. Messages are composed using 'Markdown' and a text interpolation system that allows for the injection of evaluated R code within the message body, footer, and subject line. Helper functions let the user insert embedded images, web link buttons, and 'ggplot2' plot objects into the message body. Messages can be sent through an 'SMTP' server or through the 'Mailgun' API service <http://mailgun.com/>.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Imports: commonmark (>= 1.2), ggplot2 (>= 2.2.1), glue (>= 1.1.1), htmltools (>= 0.3.6), httr (>= 1.2.1), knitr (>= 1.16), magrittr (>= 1.5), mailR (>= 0.4.1), rJava (>= 0.9-8), stringr (>= 1.2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: covr, testthat
NeedsCompilation: no
Packaged: 2017-08-20 22:21:10 UTC; riannone
Author: Rich Iannone [aut, cre]
Maintainer: Rich Iannone <riannone@me.com>
Repository: CRAN
Date/Publication: 2017-08-20 22:39:17 UTC

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Package corpus updated to version 0.9.1 with previous version 0.9.0 dated 2017-08-19

Title: Text Corpus Analysis
Description: Text corpus data analysis, with full support for Unicode. Functions for reading data from newline-delimited JSON files, for normalizing and tokenizing text, for searching for term occurrences, and for computing term occurrence frequencies (including n-grams).
Author: Patrick O. Perry [aut, cre], Martin Porter and Richard Boulton [ctb, cph] (Snowball), Carlo Strapparava and Alessandro Valitutti [ctb, cph] (WordNet-Affect), Unicode, Inc. [ctb, cph] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

Diff between corpus versions 0.9.0 dated 2017-08-19 and 0.9.1 dated 2017-08-20

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Package MOEADr updated to version 1.0.0 with previous version 0.2.1 dated 2017-03-20

Title: Component-Wise MOEA/D Implementation
Description: Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), <DOI:10.1109/TEVC.2007.892759>] for quick assembling and testing of new algorithmic components, as well as easy replication of published MOEA/D proposals.
Author: Felipe Campelo [aut, cre], Lucas Batista [com], Claus Aranha [aut]
Maintainer: Felipe Campelo <fcampelo@ufmg.br>

Diff between MOEADr versions 0.2.1 dated 2017-03-20 and 1.0.0 dated 2017-08-20

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Package RcppArmadillo updated to version 0.7.960.1.1 with previous version 0.7.960.1.0 dated 2017-08-17

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.7.960.1.0 dated 2017-08-17 and 0.7.960.1.1 dated 2017-08-20

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Package zonator updated to version 0.5.8 with previous version 0.5.7 dated 2017-07-09

Title: Utilities for Zonation Spatial Conservation Prioritization Software
Description: Create new analysis setups and deal with results of Zonation conservation prioritization software <https://github.com/cbig/zonation-core>. This package uses data available in the 'zdat' (7.7 MB) package for building the vignettes.
Author: Joona Lehtomaki [aut, cre]
Maintainer: Joona Lehtomaki <joona.lehtomaki@gmail.com>

Diff between zonator versions 0.5.7 dated 2017-07-09 and 0.5.8 dated 2017-08-20

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Package stpm updated to version 1.6.8 with previous version 1.6.6 dated 2017-04-07

Title: Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes
Description: Utilities to estimate parameters of the models with survival functions induced by stochastic covariates. Miscellaneous functions for data preparation and simulation are also provided. For more information, see: (i)"Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al. (2007), Mathematical Biosciences, 208(2), 538-551, <DOI:10.1016/j.mbs.2006.11.006>; (ii) "Health decline, aging and mortality: how are they related?" by Yashin A. et al. (2007), Biogerontology 8(3), 291(302), <DOI:10.1007/s10522-006-9073-3>.
Author: I. Y. Zhbannikov, Liang He, K. G. Arbeev, A. I. Yashin.
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between stpm versions 1.6.6 dated 2017-04-07 and 1.6.8 dated 2017-08-20

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New package happybiRthday with initial version 0.0.1
Package: happybiRthday
Type: Package
Title: Calculate Upcoming Birthday Dates of Github Repos
Version: 0.0.1
Depends: R (>= 3.3.3)
Imports: data.table, dplyr, gh, lubridate, tidyr
Suggests: knitr
Authors@R: person("Bohdan", "Khomtchouk", , "bohdan@stanford.edu", role = c("aut", "cre"))
Maintainer: Bohdan Khomtchouk <bohdan@stanford.edu>
Description: Software creation is a pretty big deal! A repository's initial commit date can be thought of as its birthday. Next time, drop in and wish a developer (any Github username) a happy birthday of their repo(s). Or maybe just toast to the upcoming anniversary of your own software! The software life cycle is too short not to celebrate!
URL: https://github.com/Bohdan-Khomtchouk/happybirthday
BugReports: https://github.com/Bohdan-Khomtchouk/happybirthday/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-19 20:50:54 UTC; bohdankhomtchouk
Author: Bohdan Khomtchouk [aut, cre]
Repository: CRAN
Date/Publication: 2017-08-20 16:50:45 UTC

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New package GRCdata with initial version 1.0
Package: GRCdata
Type: Package
Title: Parameter Inference and Optimal Designs for Grouped and/or Right-Censored Count Data
Version: 1.0
Date: 2017-07-28
Author: Xin Guo <x.guo@polyu.edu.hk>, Qiang Fu <qiang.fu@ubc.ca>
Maintainer: Xin Guo <x.guo@polyu.edu.hk>
Depends: nloptr, cubature
Description: We implement two main functions. The first function uses a given grouped and/or right-censored grouping scheme and empirical data to infer parameters, and implements chi-square goodness-of-fit tests. The second function searches for the global optimal grouping scheme of grouped and/or right-censored count responses in surveys.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2017-08-19 01:30:21 UTC; xin
Repository: CRAN
Date/Publication: 2017-08-20 16:47:38 UTC

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Package edgarWebR updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-15

Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the U.S. Securities and Exchange Commission (SEC - <https://sec.gov>) including company and fund filings along with all associated metadata.
Author: Micah J Waldstein [aut, cre]
Maintainer: Micah J Waldstein <micah@waldste.in>

Diff between edgarWebR versions 0.1.0 dated 2017-08-15 and 0.1.1 dated 2017-08-20

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Package sjmisc updated to version 2.6.1 with previous version 2.6.0 dated 2017-08-05

Title: Data and Variable Transformation Functions
Description: Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjmisc versions 2.6.0 dated 2017-08-05 and 2.6.1 dated 2017-08-20

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Package SpatialExtremes updated to version 2.0-3 with previous version 2.0-2 dated 2015-06-11

Title: Modelling Spatial Extremes
Description: Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (althought not completely in agreement with the extreme value theory) are avaible such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) <doi:10.1214/11-STS376>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013) <doi:10.1093/biomet/ass067>.
Author: Mathieu Ribatet [aut, cre], Richard Singleton [ctb], R Core team [ctb]
Maintainer: Mathieu Ribatet <mathieu.ribatet@umontpellier.fr>

Diff between SpatialExtremes versions 2.0-2 dated 2015-06-11 and 2.0-3 dated 2017-08-20

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Package latentnet updated to version 2.8.0 with previous version 2.7.1 dated 2015-06-19

Title: Latent Position and Cluster Models for Statistical Networks
Description: Fit and simulate latent position and cluster models for statistical networks.
Author: Pavel N. Krivitsky [aut, cre], Mark S. Handcock [aut], Susan M. Shortreed [ctb], Jeremy Tantrum [ctb], Peter D. Hoff [ctb], Li Wang [ctb], Kirk Li [ctb], Jake Fisher [ctb], Jordan T. Bates [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between latentnet versions 2.7.1 dated 2015-06-19 and 2.8.0 dated 2017-08-20

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Package httr updated to version 1.3.1 with previous version 1.3.0 dated 2017-08-16

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between httr versions 1.3.0 dated 2017-08-16 and 1.3.1 dated 2017-08-20

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Package HSAUR2 updated to version 1.1-17 with previous version 1.1-16 dated 2017-06-21

Title: A Handbook of Statistical Analyses Using R (2nd Edition)
Description: Functions, data sets, analyses and examples from the second edition of the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).
Author: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between HSAUR2 versions 1.1-16 dated 2017-06-21 and 1.1-17 dated 2017-08-20

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Package geojsonio updated to version 0.4.0 with previous version 0.3.8 dated 2017-07-24

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojsonio versions 0.3.8 dated 2017-07-24 and 0.4.0 dated 2017-08-20

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Package GeneralizedUmatrix updated to version 0.9.5 with previous version 0.9.4 dated 2017-05-18

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections from a high-dimensional data space onto a two-dimensional plane are used to detect structures, such as clusters, in multivariate data. The generalized Umatrix is able to visualize errors of these two-dimensional scatter plots by using a 3D topographic map.
Author: Michael Thrun, Alfred Ultsch
Maintainer: Michael Thrun <mthrun@mathematik.uni-marburg.de>

Diff between GeneralizedUmatrix versions 0.9.4 dated 2017-05-18 and 0.9.5 dated 2017-08-20

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Package ergm updated to version 3.8.0 with previous version 3.7.1 dated 2017-03-21

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre], Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

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More information about ergm at CRAN
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Package bookdown updated to version 0.5 with previous version 0.4 dated 2017-05-20

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], 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], 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>

Diff between bookdown versions 0.4 dated 2017-05-20 and 0.5 dated 2017-08-20

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More information about bookdown at CRAN
Permanent link

New package TCIApathfinder with initial version 1.0.0
Package: TCIApathfinder
Title: Client for the Cancer Imaging Archive REST API
Version: 1.0.0
Authors@R: person("Pamela", "Russell", email = "pamela.russell@ucdenver.edu", role = c("aut", "cre"))
Description: A wrapper for The Cancer Imaging Archive's REST API. The Cancer Imaging Archive (TCIA) hosts de-identified medical images of cancer available for public download, as well as rich metadata for each image series. TCIA provides a REST API for programmatic access to the data. This package provides simple functions to access each API endpoint. For more information, see <https://github.com/pamelarussell/TCIApathfinder> and TCIA's website.
Depends: R (>= 3.3.2)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: testthat, httr, jsonlite
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-18 16:53:51 UTC; prussell
Author: Pamela Russell [aut, cre]
Maintainer: Pamela Russell <pamela.russell@ucdenver.edu>
Repository: CRAN
Date/Publication: 2017-08-20 12:23:53 UTC

More information about TCIApathfinder at CRAN
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Package mdmb updated to version 0.4-15 with previous version 0.3-11 dated 2017-07-12

Title: Model Based Treatment of Missing Data
Description: Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation. The regression model can be nonlinear (e.g., including interaction or quadratic effects). Multiple imputation can be also conducted.
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between mdmb versions 0.3-11 dated 2017-07-12 and 0.4-15 dated 2017-08-20

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New package DatabionicSwarm with initial version 0.9.7
Package: DatabionicSwarm
Type: Package
Title: Swarm Intelligence for Self-Organized Clustering
Version: 0.9.7
Date: 2017-08-19
Author: Michael Thrun
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: Algorithms implementing populations of agents which interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intelligence. Here a swarm system, called databionic swarm (DBS), is introduced which is able to adapt itself to structures of high-dimensional data such as natural clusters characterized by distance and/or density based structures in the data space. The first module is the parameter-free projection method Pswarm, which exploits the concepts of self-organization and emergence, game theory, swarm intelligence and symmetry considerations. The second module is a parameter-free high-dimensional data visualization technique, which generates projected points on a topographic map with hypsometric colors based on the generalized U-matrix. The third module is the clustering method itself with non-critical parameters. The clustering can be verified by the visualization and vice versa. The term DBS refers to the method as a whole. DBS enables even a non-professional in the field of data mining to apply its algorithms for visualization and/or clustering to data sets with completely different structures drawn from diverse research fields.
License: GPL-3
Imports: Rcpp, deldir, GeneralizedUmatrix
Suggests: plotrix, geometry, sp, spdep, AdaptGauss, ABCanalysis, parallel, matrixStats, rgl, png, ProjectionBasedClustering
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.0)
NeedsCompilation: yes
SystemRequirements: C++11
LazyLoad: yes
LazyData: TRUE
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
Encoding: UTF-8
Packaged: 2017-08-20 07:54:32 UTC; MT
Repository: CRAN
Date/Publication: 2017-08-20 11:13:36 UTC

More information about DatabionicSwarm at CRAN
Permanent link

Package easycsv updated to version 1.0.5 with previous version 1.0.2 dated 2017-08-09

Title: Load Multiple 'csv' and 'txt' Tables
Description: Allows users to easily read multiple comma separated tables and create a data frame under the same name. Is able to read multiple comma separated tables from a local directory, a zip file or a zip file on a remote directory.
Author: Dror Bogin [aut, cre]
Maintainer: Dror Bogin <dror.bogin@gmail.com>

Diff between easycsv versions 1.0.2 dated 2017-08-09 and 1.0.5 dated 2017-08-20

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Package BNSP updated to version 2.0.0 with previous version 1.1.1 dated 2017-02-27

Title: Bayesian Non- And Semi-Parametric Model Fitting
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Diff between BNSP versions 1.1.1 dated 2017-02-27 and 2.0.0 dated 2017-08-20

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More information about BNSP at CRAN
Permanent link

Package sim1000G (with last version 1.3) was removed from CRAN

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

2017-08-17 1.3

Permanent link

Sat, 19 Aug 2017

Package rsMove updated to version 0.2.1 with previous version 0.1 dated 2017-07-15

Title: Remote Sensing for Movement Ecology
Description: Tools to analyze animal tracking data with remote sensing.
Author: Ruben Remelgado [aut, cre]
Maintainer: Ruben Remelgado <ruben.remelgado@uni-wuerzburg.de>

Diff between rsMove versions 0.1 dated 2017-07-15 and 0.2.1 dated 2017-08-19

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More information about rsMove at CRAN
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Package NetworkChange updated to version 0.3 with previous version 0.2 dated 2017-05-30

Title: Bayesian Package for Network Changepoint Analysis
Description: Network changepoint analysis for undirected network data. The package implements a hidden Markov multilinear tensor regression model (Park and Sohn, 2017, <http://jhp.snu.ac.kr/NetworkChange.pdf>). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.
Author: Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between NetworkChange versions 0.2 dated 2017-05-30 and 0.3 dated 2017-08-19

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Package corpus updated to version 0.9.0 with previous version 0.8.0 dated 2017-07-19

Title: Text Corpus Analysis
Description: Text corpus data analysis, with full support for Unicode. Functions for reading data from newline-delimited JSON files, for normalizing and tokenizing text, for searching for term occurrences, and for computing term occurrence frequencies (including n-grams).
Author: Patrick O. Perry [aut, cre], Martin Porter and Richard Boulton [ctb, cph] (Snowball), Carlo Strapparava and Alessandro Valitutti [ctb, cph] (WordNet-Affect), Unicode, Inc. [ctb, cph] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

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Package ccRemover updated to version 1.0.4 with previous version 1.0.3 dated 2017-08-12

Title: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data
Description: Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.
Author: Jun Li [aut, cre], Martin Barron [aut]
Maintainer: Jun Li <jun.li@nd.edu>

Diff between ccRemover versions 1.0.3 dated 2017-08-12 and 1.0.4 dated 2017-08-19

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Package blscrapeR updated to version 3.0.0 with previous version 2.1.5 dated 2017-06-19

Title: An API Wrapper for the Bureau of Labor Statistics (BLS)
Description: Scrapes various data from <https://www.bls.gov/>. The U.S. Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.
Author: Kris Eberwein [aut, cre]
Maintainer: Kris Eberwein <eberwein@knights.ucf.edu>

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Package alleHap updated to version 0.9.9 with previous version 0.9.7 dated 2016-07-17

Title: Allele Imputation and Haplotype Reconstruction from Pedigree Databases
Description: Tools to simulate alphanumeric alleles, impute genetic missing data and reconstruct non-recombinant haplotypes from pedigree databases in a deterministic way. Allelic simulations can be implemented taking into account many factors (such as number of families, markers, alleles per marker, probability and proportion of missing genotypes, recombination rate, etc). Genotype imputation can be used with simulated datasets or real databases (previously loaded in .ped format). Haplotype reconstruction can be carried out even with missing data, since the program firstly imputes each family genotype (without a reference panel), to later reconstruct the corresponding haplotypes for each family member. All this considering that each individual (due to meiosis) should unequivocally have two alleles per marker (one inherited from each parent) and thus imputation and reconstruction results can be deterministically calculated.
Author: Nathan Medina-Rodriguez and Angelo Santana
Maintainer: Nathan Medina-Rodriguez <nathan.medina@ulpgc.es>

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Package ECharts2Shiny updated to version 0.2.12 with previous version 0.2.11 dated 2017-05-09

Title: Embedding Interactive Charts Generated with ECharts Library into Shiny Applications
Description: Embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (<http://echarts.baidu.com/>). Current version supports line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map, and heat map.
Author: Xiaodong Deng [aut, cre], Hao Zhu [ctr], Yiheng Li [ctr], Janet Wagner [ctr]
Maintainer: Xiaodong Deng <xd_deng@hotmail.com>

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Package ordinalNet updated to version 2.1 with previous version 2.0 dated 2017-05-08

Title: Penalized Ordinal Regression
Description: Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net penalty shrinks it toward the parallel model.
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm@wisc.edu>

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Fri, 18 Aug 2017

Package getCRUCLdata updated to version 0.1.9 with previous version 0.1.8 dated 2017-07-08

Title: Use and Explore CRU CL v. 2.0 Climatology Elements in R
Description: Provides functions that automate downloading and importing University of East Anglia Climate Research Unit (CRU) CL v. 2.0 climatology data into R, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a tidy data frame as a tibble or a list of raster stack objects for use in an R session. CRU CL v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arcminutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Author: Adam Sparks [aut, cre] (http://orcid.org/0000-0002-0061-8359)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

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Package GSODR updated to version 1.0.5 with previous version 1.0.4 dated 2017-07-23

Title: Global Summary Daily Weather Data in R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (http://orcid.org/0000-0002-0061-8359), Tomislav Hengl [aut] (http://orcid.org/0000-0002-9921-5129), Andrew Nelson [aut] (http://orcid.org/0000-0002-7249-3778)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

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Package MetFns updated to version 3.0.0 with previous version 2.2.0 dated 2017-02-01

Title: Analysis of Visual Meteor Data
Description: Functions for selection of visual meteor data, calculations of Zenithal Hourly Rate (ZHR) and population index, graphics of population index, ZHR and magnitude distribution.
Author: Kristina Veljkovic
Maintainer: Kristina Veljkovic <mackikac@gmail.com>

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Package rWind updated to version 0.3.0 with previous version 0.2.0 dated 2017-06-12

Title: Download, Edit and Transform Wind Data from GFS
Description: Tools for downloading, editing and transforming wind data from Global Forecast System (GFS, see <https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs>) of the USA's National Weather Service (NWS, see <http://www.weather.gov/>).
Author: Javier Fernández-López [aut, cre], Klaus Schliep [aut]
Maintainer: Javier Fernández-López <jflopez@rjb.csic.es>

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Package HSAUR3 updated to version 1.0-8 with previous version 1.0-7 dated 2017-06-21

Title: A Handbook of Statistical Analyses Using R (3rd Edition)
Description: Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<http://www.crcpress.com/product/isbn/9781482204582>'.
Author: Torsten Hothorn and Brian S. Everitt
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package HSAUR updated to version 1.3-9 with previous version 1.3-8 dated 2017-06-21

Title: A Handbook of Statistical Analyses Using R (1st Edition)
Description: Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available.
Author: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package wppExplorer updated to version 2.1-1 with previous version 2.1-0 dated 2017-06-29

Title: Explorer of World Population Prospects
Description: Explore data in the 'wpp2017' (or 2015, 2012, 2010) package using a 'shiny' interface.
Author: Hana Sevcikova <hanas@uw.edu>
Maintainer: Hana Sevcikova <hanas@uw.edu>

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New package revengc with initial version 1.0.0
Package: revengc
Type: Package
Title: Reverse Engineering Censored, Decoupled Residential Data for Population Density Estimation
Version: 1.0.0
Authors@R: c( person("Samantha", "Duchscherer", email = "sam.duchscherer@gmail.com", role = c("aut", "cre")), person("UT-Battelle, LLC", role = "cph") )
Author: Samantha Duchscherer [aut, cre], UT-Battelle, LLC [cph]
Maintainer: Samantha Duchscherer <sam.duchscherer@gmail.com>
Description: A wealth of open source information is available that points to building usage including floor area of building size and likely occupancy. In the case of residential structures, census data provides a number of attributes including two values important to interior density estimation: household size (hhs) and area. If a national census revealed the raw data or provided a full uncensored contingency table (hhs x area), computing interior density as people/area would be straightforward. However, agencies rarely report this contingency table. Rather hhs and area are often decoupled and reported as separate univariate frequency tables, average values, or a combination of the two. In addition, the decoupled or contingency tables provided are typically left (<, <=), right (>, >=), and interval (-) censored. This type of information becomes problematic in estimating interior residential occupancy for numerous reasons. How can the people/area ratio be calculated when no affiliation between the variables exist? If a census reports a hhs average of 5.3, then how many houses are there with 1 person, 2 people,..., 10 people? If a census reports that there are 100 houses in an area of 26-50 square meters, then how many houses are in 26, 27,..., 50 square meters? The challenge therefore is to infer the people/area ratio when given decoupled and summarized data. The statistical package 'revengc' was designed to reverse engineer censored, decoupled census data into a likely hhs x area uncensored contingency table for estimating interior residential occupancy.
URL: https://github.com/GIST-ORNL/revengc
Depends: R (>= 2.14)
License: MIT + file LICENSE
LazyData: TRUE
Imports: stringr
Suggests: R.rsp
VignetteBuilder: R.rsp
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-08-18 15:47:05 UTC; snt
Repository: CRAN
Date/Publication: 2017-08-18 18:59:00 UTC

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Package mpath updated to version 0.3-3 with previous version 0.2-4 dated 2016-08-30

Title: Regularized Linear Models
Description: Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <zwang@connecticutchildrens.org>

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Package ivmodel updated to version 1.7 with previous version 1.6 dated 2017-05-04

Title: Statistical Inference and Sensitivity Analysis for Instrumental Variables Model
Description: Contains functions for carrying out instrumental variable estimation of causal effects, including power analysis, sensitivity analysis, and diagnostics.
Author: Yang Jiang, Hyunseung Kang, Dylan Small, and Qingyuan Zhao
Maintainer: Hyunseung Kang <hyunseung@stat.wisc.edu>

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Package Surrogate updated to version 0.4 with previous version 0.2 dated 2017-06-05

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>

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Package FedData updated to version 2.4.6 with previous version 2.4.5 dated 2017-03-01

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from six datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 3, available from the Oak Ridge National Laboratory's Distributed Active Archive Center (DAAC); and the International Tree Ring Data Bank.
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package dataone updated to version 2.1.0 with previous version 2.0.1 dated 2016-08-29

Title: R Interface to the DataONE REST API
Description: Provides read and write access to data and metadata from the DataONE network <https://www.dataone.org> of data repositories. Each DataONE repository implements a consistent repository application programming interface. Users call methods in R to access these remote repository functions, such as methods to query the metadata catalog, get access to metadata for particular data packages, and read the data objects from the data repository. Users can also insert and update data objects on repositories that support these methods.
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Rob Nahf [aut], Carl Boettiger [aut], Chris Jones [aut], Jordan Read [aut], Lauren Walker [aut], Edmund Hart [aut], Scott Chamberlain [aut], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package ahnr updated to version 0.2.0 with previous version 0.1.0 dated 2017-07-08

Title: An Implementation of the Artificial Hydrocarbon Networks
Description: Implementation of the Artificial Hydrocarbon Networks for data modeling.
Author: Jose Roberto Ayala Solares [aut, cre]
Maintainer: Jose Roberto Ayala Solares <ichbinjras@gmail.com>

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Package rrecsys updated to version 0.9.7.1 with previous version 0.9.5.4 dated 2016-06-27

Title: Environment for Evaluating Recommender Systems
Description: Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi: 10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.
Author: Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb], Panagiotis Symeonidis [ctb]
Maintainer: Ludovik Çoba <Ludovik.Coba@inf.unibz.it>

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Package RInno updated to version 0.1.0 with previous version 0.0.3 dated 2017-03-31

Title: An Installation Framework for Shiny Apps
Description: Installs shiny apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR), Hanjo Odendaal [ctb]
Maintainer: Jon Hill <jon.mark.hill@gmail.com>

Diff between RInno versions 0.0.3 dated 2017-03-31 and 0.1.0 dated 2017-08-18

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Package batchtools updated to version 0.9.5 with previous version 0.9.4 dated 2017-08-07

Title: Tools for Computation on Batch Systems
Description: As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<http://www-03.ibm.com/systems/spectrum-computing/products/lsf/>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<http://www.adaptivecomputing.com/products/open-source/torque/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
Author: Michel Lang [cre, aut], Bernd Bischl [aut], Dirk Surmann [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between batchtools versions 0.9.4 dated 2017-08-07 and 0.9.5 dated 2017-08-18

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More information about batchtools at CRAN
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Package tsBSS updated to version 0.3.1 with previous version 0.3 dated 2017-07-03

Title: Tools for Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimates are provided to solve the blind source separation problem for multivariate time series with stochastic volatility and supervised dimension reduction problem for multivariate time series.
Author: Markus Matilainen, Christophe Croux, Jari Miettinen, Klaus Nordhausen, Hannu Oja, Sara Taskinen
Maintainer: Markus Matilainen <markus.matilainen@utu.fi>

Diff between tsBSS versions 0.3 dated 2017-07-03 and 0.3.1 dated 2017-08-18

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Package CIAAWconsensus updated to version 1.2 with previous version 1.1 dated 2016-12-31

Title: Isotope Ratio Meta-Analysis
Description: Calculation of consensus values for atomic weights, isotope amount ratios, and isotopic abundances with the associated uncertainties using multivariate meta-regression approach for consensus building.
Author: Juris Meija and Antonio Possolo
Maintainer: Juris Meija <juris.meija@nrc-cnrc.gc.ca>

Diff between CIAAWconsensus versions 1.1 dated 2016-12-31 and 1.2 dated 2017-08-18

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Package msarc (with last version 1.4.5) was removed from CRAN

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

2015-01-27 1.4.5
2014-12-04 1.4.3
2014-08-12 1.3.4
2013-08-12 1.3.2
2013-07-30 1.3.1
2013-04-09 1.2.0

Permanent link
Package ImputeRobust updated to version 1.2 with previous version 1.1-2 dated 2017-04-20

Title: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape
Description: Provides new imputation methods for the 'mice' package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.
Author: Daniel Salfran [aut, cre], Martin Spiess [aut, ths]
Maintainer: Daniel Salfran <daniel.salfran@uni-hamburg.de>

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Package timetools updated to version 1.12.0 with previous version 1.11.4 dated 2017-04-10

Title: Seasonal/Sequential (Instants/Durations, Even or not) Time Series
Description: Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Author: Vladislav Navel
Maintainer: Vladislav Navel <vnavel@yahoo.fr>

Diff between timetools versions 1.11.4 dated 2017-04-10 and 1.12.0 dated 2017-08-18

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New package sasMap with initial version 1.0.0
Package: sasMap
Title: Static 'SAS' Code Analysis
Version: 1.0.0
Authors@R: c( person("Nic", "Crane", , "ncrane@mango-solutions.com", role = c("aut", "cre")), person("Ava", "Yang", , "ayang@mango-solutions.com", role = "aut"), person("Richard", "Pugh", , "rpugh@mango-solutions.com", role = "aut"), person("Gregoire", "Gauriot", , "ggauriot@mango-solutions.com", role = "aut"), person("Jinjing", "Xie", , "jxie@mango-solutions.com", role = "aut"), person("Mango Solutions", role = "cph") )
Maintainer: Nic Crane <ncrane@mango-solutions.com>
Description: A static code analysis tool for 'SAS' scripts. It is designed to load, count, extract, remove, and summarise components of 'SAS' code.
Depends: R (>= 3.2.4)
Imports: readr, stringr, stringi
Suggests: testthat, markdown
URL: https://github.com/MangoTheCat/sasMap
BugReports: https://github.com/mangothecat/sasMap/issues
License: MIT + file LICENSE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-08-18 08:38:26 UTC; ncrane
Author: Nic Crane [aut, cre], Ava Yang [aut], Richard Pugh [aut], Gregoire Gauriot [aut], Jinjing Xie [aut], Mango Solutions [cph]
Repository: CRAN
Date/Publication: 2017-08-18 09:00:25 UTC

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New package odpc with initial version 1.0.0
Package: odpc
Type: Package
Title: One-Sided Dynamic Principal Components
Version: 1.0.0
Date: 2017-08-17
Author: Daniel Peña <daniel.pena@uc3m.es>, Ezequiel Smucler <ezequiels.90@gmail.com>, Victor Yohai <vyohai@dm.uba.ar>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>
Description: Functions to compute the one-sided dynamic principal components ('odpc') introduced in Smucler, Peña and Yohai (2017) <arXiv:1708.04705>. 'odpc' is a novel dimension reduction technique for multivariate time series, that is useful for forecasting. These dynamic principal components are defined as the linear combinations of the present and past values of the series that minimize the reconstruction mean squared error.
License: GPL (>= 2)
Imports: methods, Rcpp (>= 0.12.7), gdpc, forecast
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.500.0.0)
Depends: R (>= 3.3.1)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2017-08-17 23:38:54 UTC; ezequiel
Repository: CRAN
Date/Publication: 2017-08-18 08:21:42 UTC

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New package nowcasting with initial version 0.0.82
Package: nowcasting
Type: Package
Title: Nowcasting Analysis and Create Real-Time Data Basis
Version: 0.0.82
Depends: R (>= 3.4.0)
Date: 2017-08-10
Authors@R: c( person("Guilherme","Branco Gomes",email = "guilherme.branco@fgv.br",role=c("aut","cre")), person("Pedro","Costa Ferreira",email = "pedro.guilherme@fgv.br",role=c("aut")), person("Daiane", "Mattos", email = "daiane.mattos@fgv.br",role=c("aut")) )
Maintainer: Guilherme Branco Gomes <guilherme.branco@fgv.br>
Description: Methods and tools for 'forecast' the current state (nowcast) of Brazilian economic time series. It allows extract information in real time, creating a real time data base; estimate relationship between macroeconomic variables via estimation of dynamic factors; forecast time series in previous periods of reference; forecast time series in the current period of reference (nowcasting); recreate a data base simulating the information available in the past for evaluating forecasting models accuracy. The econometric framework we follow is proposed in Giannone et al. (2008) <doi:10.1016/j.jmoneco.2008.05.010>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Imports: RCurl, httr, DBI, RMySQL, matlab, stringr, seasonal, corpcor, zoo, xts
Packaged: 2017-08-18 00:53:43 UTC; guilherme.branco
Author: Guilherme Branco Gomes [aut, cre], Pedro Costa Ferreira [aut], Daiane Mattos [aut]
Repository: CRAN
Date/Publication: 2017-08-18 08:10:20 UTC

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Package document updated to version 2.1.0 with previous version 2.0.0 dated 2017-08-04

Title: Run 'roxygen2' on (Chunks of) Single Code Files
Description: Have you ever been tempted to create 'roxygen2'-style documentation comments for one of your functions that was not part of one of your packages (yet)? This is exactly what this package is about: running 'roxygen2' on (chunks of) a single code file.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <adc-r@arcor.de>

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Package dataPreparation updated to version 0.2 with previous version 0.1 dated 2017-07-08

Title: Automated Data Preparation
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>

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Package mHG updated to version 1.1 with previous version 1.0 dated 2015-07-26

Title: Minimum-Hypergeometric Test
Description: Runs a minimum-hypergeometric (mHG) test as described in: Eden, E. (2007). Discovering Motifs in Ranked Lists of DNA Sequences. Haifa.
Author: Kobi Perl
Maintainer: Kobi Perl <kobipe3@gmail.com>

Diff between mHG versions 1.0 dated 2015-07-26 and 1.1 dated 2017-08-18

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Thu, 17 Aug 2017

New package skpr with initial version 0.35.1
Package: skpr
Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Version: 0.35.1
Authors@R: c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")), person("George", "Khoury", email = "george.m.khoury@gmail.com", role = c("aut")))
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and enhance reproducibility.
Date: 2017-08-17
Copyright: Institute for Defense Analyses
Depends: R (>= 3.0.2), shiny
License: GPL-3
LazyData: true
RoxygenNote: 6.0.1
Imports: utils, iterators, stats, nlme, lme4, Rcpp (>= 0.11.0), rintrojs, shinythemes, foreach, doParallel, survival
LinkingTo: Rcpp, RcppArmadillo (>= 0.6.0)
Suggests: testthat
URL: https://github.com/tylermorganwall/skpr
BugReports: https://github.com/tylermorganwall/skpr/issues
NeedsCompilation: yes
Packaged: 2017-08-17 20:12:51 UTC; tmorganw
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Repository: CRAN
Date/Publication: 2017-08-17 23:54:11 UTC

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Package RefManageR updated to version 0.14.20 with previous version 0.14.12 dated 2017-07-04

Title: Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Description: Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
Author: Mathew W. McLean [aut, cre]
Maintainer: Mathew W. McLean <mathew.w.mclean@gmail.com>

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Package metacom updated to version 1.4.7 with previous version 1.4.6 dated 2017-03-29

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 1.4.6 dated 2017-03-29 and 1.4.7 dated 2017-08-17

 DESCRIPTION          |   15 +++++++--------
 MD5                  |   20 +++++++++++++-------
 R/BoundaryClump.R    |   43 ++++++++++++++++++++++++-------------------
 R/Imagine.R          |    2 +-
 R/Metacommunity.R    |    4 ++--
 R/Turnover.R         |   43 +++++++++++++++++++++++--------------------
 man/BoundaryClump.Rd |    6 +++++-
 man/Turnover.Rd      |    6 +++++-
 tests                |only
 9 files changed, 80 insertions(+), 59 deletions(-)

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Package inlmisc updated to version 0.3.2 with previous version 0.3.1 dated 2017-08-14

Title: Miscellaneous Functions for the USGS INL Project Office
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, etc. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Author: Jason C. Fisher [aut, cre]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between inlmisc versions 0.3.1 dated 2017-08-14 and 0.3.2 dated 2017-08-17

 DESCRIPTION            |    8 ++++----
 MD5                    |    8 ++++----
 NEWS.md                |    6 ++++++
 R/RecreateLibrary.R    |   43 ++++++++++++++++++++++---------------------
 man/RecreateLibrary.Rd |    7 ++++---
 5 files changed, 40 insertions(+), 32 deletions(-)

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