Mon, 11 Dec 2017

Package minimaxdesign updated to version 0.1.3 with previous version 0.1.2 dated 2017-05-03

Title: Minimax and Minimax Projection Designs
Description: Provides two main functions: mMcPSO() and miniMaxPro(), which generates minimax designs and minimax projection designs using a hybrid clustering - particle swarm optimization (PSO) algorithm. These designs can be used in a variety of settings, e.g., as space-filling designs for computer experiments or sensor allocation designs. A detailed description of the two designs and the employed algorithms can be found in Mak and Joseph (2017) <DOI:10.1080/10618600.2017.1302881>.
Author: Simon Mak
Maintainer: Simon Mak <smak6@gatech.edu>

Diff between minimaxdesign versions 0.1.2 dated 2017-05-03 and 0.1.3 dated 2017-12-11

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Package nnfor updated to version 0.9.2 with previous version 0.9 dated 2017-10-24

Title: Time Series Forecasting with Neural Networks
Description: Contains functions to facilitate automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.
Author: Nikolaos Kourentzes [aut, cre]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

Diff between nnfor versions 0.9 dated 2017-10-24 and 0.9.2 dated 2017-12-11

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Package Knoema updated to version 0.1.12 with previous version 0.1.9 dated 2017-10-03

Title: Interface to the Knoema API
Description: Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
Author: Pavel Pimenov [aut, cre], Ekaterina Chirkova [aut], Knoema [cph]
Maintainer: Pavel Pimenov <pimenov@knoema.com>

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Package DBItest updated to version 1.5-1 with previous version 1.5 dated 2017-06-19

Title: Testing 'DBI' Back Ends
Description: A helper that tests 'DBI' back ends for conformity to the interface.
Author: Kirill Müller [aut, cre], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between DBItest versions 1.5 dated 2017-06-19 and 1.5-1 dated 2017-12-11

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Sun, 10 Dec 2017

Package OpenMPController updated to version 0.2-5 with previous version 0.2-4 dated 2017-10-25

Title: Control Number of OpenMP Threads Dynamically
Description: The OpenMPController package provides a function omp_set_num_threads() to set the number of OpenMP threads to be used. This may be useful, for example, when linking against a vendor optimised BLAS/LAPACK library (e.g. the AMD Core Math Library), since the defaults used by those libraries may not be highly performant.
Author: Simon Guest <simon.guest@tesujimath.org>
Maintainer: Simon Guest <simon.guest@tesujimath.org>

Diff between OpenMPController versions 0.2-4 dated 2017-10-25 and 0.2-5 dated 2017-12-10

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Package tabularaster updated to version 0.4.0 with previous version 0.3.0 dated 2017-08-05

Title: Tidy Tools for 'Raster' Data
Description: Facilities to work with vector and raster data in efficient repeatable and systematic work flow. Missing functionality in existing packages is included here to allow extraction from raster data with 'simple features' and 'Spatial' types and to make extraction consistent and straightforward. Extract cell numbers from raster data and return the cells, values and weights as a data frame rather than as lists of matrices or vectors. The functions here allow spatial data to be used without special handling for the format currently in use.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package expss updated to version 0.8.4 with previous version 0.8.3 dated 2017-11-06

Title: Tables with Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package provides tabulation functions with support for 'SPSS'-style labels, multiple / nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', R notebooks, 'Shiny' and 'Jupyter' notebooks. Proper methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package offers useful functions for data processing in marketing research / social surveys - popular data transformation functions from 'SPSS' Statistics ('RECODE', 'COUNT', 'COMPUTE', 'DO IF', etc.) and 'Excel' ('COUNTIF', 'VLOOKUP', etc.). Package is intended to help people to move data processing from 'Excel'/'SPSS' to R.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package dynCorr updated to version 1.1.0 with previous version 1.0.0 dated 2017-06-10

Title: Dynamic Correlation Package
Description: Computes dynamical correlation estimates and percentile bootstrap confidence intervals for pairs of longitudinal responses, including consideration of lags and derivatives.
Author: Joel Dubin [aut, cre], Mike Li [aut], Dandi Qiao [aut], Hans-Georg Müller [aut]
Maintainer: Joel Dubin <jdubin@uwaterloo.ca>

Diff between dynCorr versions 1.0.0 dated 2017-06-10 and 1.1.0 dated 2017-12-10

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Package lessR updated to version 3.6.7 with previous version 3.6.6 dated 2017-09-09

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

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Package caret updated to version 6.0-78 with previous version 6.0-77 dated 2017-09-07

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, and Tyler Hunt.
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package Brundle updated to version 1.0.7 with previous version 1.0.5 dated 2017-09-19

Title: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data
Description: Inter-sample condition variability is a key challenge of normalising ChIP-seq data. This implementation uses either spike-in or a second factor as a control for normalisation. Input can either be from 'DiffBind' or a matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or the default 'DESeq2' output. Either can then be processed as normal. Supporting manuscript Guertin, Markowetz and Holding (2017) <doi:10.1101/182261>.
Author: Andrew N Holding
Maintainer: Andrew N Holding <andrew.holding@cruk.cam.ac.uk>

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Package rpostgis updated to version 1.4.0 with previous version 1.3.0 dated 2017-06-30

Title: R Interface to a 'PostGIS' Database
Description: Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <david.bucklin@gmail.com>

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Package quantmod updated to version 0.4-12 with previous version 0.4-11 dated 2017-10-06

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-11 dated 2017-10-06 and 0.4-12 dated 2017-12-10

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New package Rfmtool with initial version 1.2.2
Package: Rfmtool
Type: Package
Version: 1.2.2
Date: 2017-11-28
Title: Fuzzy Measure Tools
Authors@R: c(person("Gleb", "Beliakov", role = c("aut", "cre"), email = "gleb@deakin.edu.au"), person("Quan", "Vu", role = "ctb"), person("Andrei", "Kelarev", role = "ctb"), person("Michel", "Berkelaar", role = "ctb"), person("Kjell", "Eikland", role = "ctb"), person("Samuel E.", "Buttrey", role = "ctb"), person("Stefan I.", "Larimore", role = "ctb"), person("Timothy A.", "Davis", role = "ctb"), person("John", "Gilbert", role = "ctb"), person("Esmond", "Ng", role = "ctb") , person("Peter", "Notebaert", role = "ctb") , person("Richard", "Stallman", role = "ctb") , person("Jeroen", "Dirks", role = "ctb") )
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey [ctb], Stefan I. Larimore [ctb], Timothy A. Davis [ctb], John Gilbert [ctb], Esmond Ng [ctb], Peter Notebaert [ctb], Richard Stallman [ctb], Jeroen Dirks [ctb]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Depends: R (>= 2.9.2)
Suggests:
Description: Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.
License: LGPL-3
NeedsCompilation: yes
Copyright: Gleb Beliakov. The 'lpsolve' library and its parts are copyright to various holders, including Kjell Eikland, Michel Berkelaar, University of Florida, National Institute of Standards and Technology, Free Software Foundation, Inc.
Packaged: 2017-11-28 03:56:19 UTC; gleb
Repository: CRAN
Date/Publication: 2017-12-10 15:32:35 UTC

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Package refset updated to version 0.1.1 with previous version 0.1.0 dated 2014-12-16

Title: Subsets with Reference Semantics
Description: Provides subsets with reference semantics, i.e. subsets which automatically reflect changes in the original object, and which optionally update the original object when they are changed.
Author: "David Hugh-Jones" <davidhughjones@gmail.com>
Maintainer: "David Hugh-Jones" <davidhughjones@gmail.com>

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Package pdSpecEst updated to version 1.2.1 with previous version 1.2.0 dated 2017-12-09

Title: An Analysis Toolbox for Hermitian Positive Definite Matrices
Description: An implementation of data analysis tools for samples of symmetric or Hermitian positive definite matrices, such as collections of covariance matrices or spectral density matrices. The tools in this package can be used to perform (i) intrinsic manifold wavelet regression and clustering for curves (1D) or surfaces (2D) of Hermitian positive definite matrices, and (ii) exploratory data analysis and inference for samples of (curves of) Hermitian positive definite matrices by means of intrinsic manifold data depth and manifold rank-based hypothesis tests.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <j.chau@uclouvain.be>

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Package KenSyn updated to version 0.2 with previous version 0.1 dated 2017-11-21

Title: Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis
Description: Demo and datasets accompanying the book "Knowledge Synthesis: From Experimental Network to Meta-Analysis" (Makowski, Piraux and Brun, in preparation for December 2017).
Author: David Makowski (INRA) [aut], Francois Piraux (Arvalis) [aut], Francois Brun (ACTA) [aut, cre]
Maintainer: Francois Brun (ACTA) <francois.brun@acta.asso.fr>

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Package s2 updated to version 0.3-0 with previous version 0.1-1 dated 2016-11-04

Title: Google's S2 Library for Geometry on the Sphere
Description: R bindings for Google's s2 library for geometric calculations on the sphere.
Author: Ege Rubak [aut, cre], Jeroen Ooms [aut] (configure and cleanup script), Edzer Pebesma [aut] (Interface to sf), Google, Inc. [cph] (Original s2 source code)
Maintainer: Ege Rubak <rubak@math.aau.dk>

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Package ESTER updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-16

Title: Efficient Sequential Testing with Evidence Ratios
Description: An implementation of sequential testing that uses evidence ratios computed from the weights of a set of models. These weights correspond either to Akaike weights computed from the Akaike Information Criterion (AIC) or the Bayesian Information Criterion (BIC) and following Burnham & Anderson (2004, <doi:10.1177/0049124104268644>) recommendations, or to pseudo-BMA weights computed from the WAIC or the LOO-IC of models fitted with 'brms' and following Yao et al. (2017, <arXiv:1704.02030v3>).
Author: Ladislas Nalborczyk [aut, cre] (0000-0002-7419-9855)
Maintainer: Ladislas Nalborczyk <ladislas.nalborczyk@gmail.com>

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Package summarytools updated to version 0.8.0 with previous version 0.6.5 dated 2016-12-05

Title: Tools to Quickly and Neatly Summarize Data
Description: Data frame summaries, cross-tabulations, weight-enabled frequency tables and common univariate statistics in concise tables available in a variety of formats (plain ASCII, Rmarkdown and HTML). A good point- of-entry for exploring data, both for experienced and inexperienced R users.
Author: Dominic Comtois
Maintainer: Dominic Comtois <dominic.comtois@gmail.com>

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Package RSNNS updated to version 0.4-10 with previous version 0.4-9 dated 2016-12-16

Title: Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
Description: The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
Author: Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

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Package phylotools updated to version 0.2.2 with previous version 0.1.2 dated 2011-08-18

Title: Phylogenetic Tools for Eco-Phylogenetics
Description: A collection of tools for building RAxML supermatrix using PHYLIP or aligned FASTA files. These functions will be useful for building large phylogenies using multiple markers.
Author: Jinlong Zhang [aut, cre], Nancai Pei [ctb], Xiangcheng Mi [ctb]
Maintainer: Jinlong Zhang <jinlongzhang01@gmail.com>

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Package meaRtools updated to version 1.0.2 with previous version 1.0.1 dated 2017-10-12

Title: Micro-Electro Array (MEA) Analysis
Description: Core algorithms for MEA spike train analysis, feature extraction, statistical analysis and plotting of multiple MEA recordings with multiple genotypes and treatments, published by Gelfman et al (2017) at <https://github.com/igm-team/meaRtools/>.
Author: Quanli Wang [aut, ctb], Sahar Gelfman [aut, ctb, cre], Diana Hall [aut, ctb], Ryan Dhindsa [aut, ctb], Matt Halvorsen [aut, ctb], Ellese Cotterill [aut, ctb], Tom Edinburgh [aut, ctb], Stephen J. Eglen [aut, ctb, ths]
Maintainer: Sahar Gelfman <sahar.gelfman@columbia.edu>

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Package JMcmprsk updated to version 0.9.3 with previous version 0.9.2 dated 2017-12-06

Title: Joint Models for Longitudinal Measurements and Competing Risks Failure Time Data
Description: Fit joint models of continuous or ordinal longitudinal data and time-to-event data with competing risks. For a detailed information, see Robert Elashoff, Gang li and Ning Li (2016, ISBN:9781439807828) ; Robert M. Elashoff,Gang Li and Ning Li (2008) <doi:10.1111/j.1541-0420.2007.00952.x> ; Ning Li, Robert Elashoff, Gang Li and Jeffrey Saver (2010) <doi:10.1002/sim.3798> .
Author: Hong Wang<wh@csu.edu.cn>, Ning Li<nli@biomath.ucla.edu> and Gang Li<vli@ucla.edu>
Maintainer: Hong Wang <wh@csu.edu.cn>

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Package yaImpute updated to version 1.0-29 with previous version 1.0-26 dated 2015-07-20

Title: Nearest Neighbor Observation Imputation and Evaluation Tools
Description: Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Author: Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
Maintainer: Nicholas L. Crookston <ncrookston.fs@gmail.com>

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Package diffobj updated to version 0.1.8 with previous version 0.1.7 dated 2017-11-09

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package ContaminatedMixt updated to version 1.3 with previous version 1.2 dated 2017-11-05

Title: Model-Based Clustering and Classification with the Multivariate Contaminated Normal Distribution
Description: Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm.
Author: Antonio Punzo, Angelo Mazza, Paul D. McNicholas
Maintainer: Angelo Mazza <a.mazza@unict.it>

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Package phmm (with last version 0.7-5) was removed from CRAN

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

2013-09-14 0.7-5
2012-04-03 0.7-4
2010-12-05 0.7-1
2010-01-06 0.6.3
2009-09-22 0.6.1
2009-09-03 0.6
2009-03-19 0.5
2009-03-16 0.4

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Sat, 09 Dec 2017

Package fastrtext updated to version 0.2.4 with previous version 0.2.3 dated 2017-11-10

Title: 'fastText' Wrapper for Text Classification and Word Representation
Description: Learning text representations and text classifiers may rely on the same simple and efficient approach. 'fastText' is an open-source, free, lightweight library that allows users to perform both tasks. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.
Author: Michaël Benesty [aut, cre, cph], Facebook, Inc [cph]
Maintainer: Michaël Benesty <michael@benesty.fr>

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Package parsemsf updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-24

Title: Parse ThermoFisher MSF Files and Estimate Protein Abundances
Description: Provides functions for parsing ThermoFisher MSF files produced by Proteome Discoverer 1.4.x (see <https://thermofisher.com> for more information). This package makes it easy to view individual peptide information, including peak areas, and to map peptides to locations within the parent protein sequence. This package also estimates protein abundances from peak areas and across multiple technical replicates. The author of this package is not affiliated with ThermoFisher Scientific in any way.
Author: Benjamin Jack [aut, cre]
Maintainer: Benjamin Jack <benjamin.r.jack@gmail.com>

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Package EFAutilities updated to version 1.2.1 with previous version 1.1.1 dated 2017-11-06

Title: Utility Functions for Exploratory Factor Analysis
Description: A number of utility function for exploratory factor analysis are included in this package. In particular, it computes standard errors for parameter estimates and factor correlations under a variety of conditions.
Author: Guangjian Zhang, Ge Jiang, Minami Hattori, Lauren Trichtinger
Maintainer: Guangjian Zhang <gzhang3@nd.edu>

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Package document updated to version 2.2.0 with previous version 2.1.0 dated 2017-08-18

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 lifecontingencies updated to version 1.3.2 with previous version 1.3.1 dated 2017-09-29

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein.
Author: Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb], Ernesto Schirmacher[ctb], Gian Paolo Clemente [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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

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2017-11-14 1.0

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2017-09-07 1.32

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2015-01-30 0.4
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2017-07-19 0.1.0

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2017-11-24 2.0

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Package TDA updated to version 1.6 with previous version 1.5.1 dated 2017-04-27

Title: Statistical Tools for Topological Data Analysis
Description: Tools for the statistical analysis of persistent homology and for density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries GUDHI, Dionysus, and PHAT.
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, Vincent Rouvreau. The included GUDHI is authored by Clement Maria, Dionysus by Dmitriy Morozov, and PHAT by Ulrich Bauer, Michael Kerber, and Jan Reininghaus.
Maintainer: Jisu Kim <jisuk1@andrew.cmu.edu>

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Package pdSpecEst updated to version 1.2.0 with previous version 1.1.1 dated 2017-07-02

Title: An Analysis Toolbox for Hermitian Positive Definite Matrices
Description: An implementation of data analysis tools for samples of symmetric or Hermitian positive definite matrices, such as collections of covariance matrices or spectral density matrices. The tools in this package can be used to perform (i) intrinsic manifold wavelet regression and clustering for curves (1D) or surfaces (2D) of Hermitian positive definite matrices, and (ii) exploratory data analysis and inference for samples of (curves of) Hermitian positive definite matrices by means of intrinsic manifold data depth and manifold rank-based hypothesis tests.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <j.chau@uclouvain.be>

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Package dtwclust updated to version 5.0.0 with previous version 4.1.0 dated 2017-09-11

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging and a distance based on global alignment kernels are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

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Fri, 08 Dec 2017

Package broman updated to version 0.67-4 with previous version 0.65-4 dated 2017-05-28

Title: Karl Broman's R Code
Description: Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.
Author: Karl W Broman <kbroman@biostat.wisc.edu>, with contributions from Aimee Teo Broman
Maintainer: Karl W Broman <kbroman@biostat.wisc.edu>

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Package momentuHMM updated to version 1.3.0 with previous version 1.2.0 dated 2017-10-20

Title: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
Description: Extended tools for analyzing telemetry data using generalized hidden Markov models. These include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2017) <arXiv:1710.03786>.
Author: Brett McClintock, Theo Michelot
Maintainer: Brett McClintock <brett.mcclintock@noaa.gov>

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Package LEGIT updated to version 1.2.0 with previous version 1.1.1 dated 2017-05-21

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250). Tools to determine the type of interaction (vantage sensitivity, diathesis-stress or differential susceptibility), with any number of genetic variants or environments, are available <10.17605/OSF.IO/27UW8>.
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

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Package ecotox updated to version 1.3.0 with previous version 1.1.0 dated 2017-10-24

Title: Analysis of Ecotoxicology
Description: A simple approach to using a probit or logit analysis to calculate lethal concentration (LC) or time (LT) and the appropriate fiducial confidence limits desired for selected LC or LT for ecotoxicology studies (Finney 1971; Wheeler et al. 2006; Robertson et al. 2007). The simplicity of 'ecotox' comes from the syntax it implies within its functions which are similar to functions like glm() and lm(). In addition to the simplicity of the syntax, a comprehensive data frame is produced which gives the user a predicted LC or LT value for the desired level and a suite of important parameters such as fiducial confidence limits and slope. Finney, D.J. (1971, ISBN: 052108041X); Wheeler, M.W., Park, R.M., and Bailer, A.J. (2006) <doi:10.1897/05-320R.1>; Robertson, J.L., Savin, N.E., Russell, R.M., and Preisler, H.K. (2007, ISBN: 0849323312).
Author: Benjamin Hlina [aut, cre]
Maintainer: Benjamin Hlina <benjamin.hlina@gmail.com>

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Package arsenal updated to version 0.6.1 with previous version 0.6.0 dated 2017-09-20

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of a categorical variable; modelsum(), which performs simple model fits on the same endpoint for many variables (univariate or adjusted for standard covariates); freqlist(), a powerful frequency table across many categorical variables; compare.data.frame(), the S3 method for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

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Package CLME updated to version 2.0-8 with previous version 2.0-6 dated 2016-11-07

Title: Constrained Inference for Linear Mixed Effects Models
Description: Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.
Author: Casey M. Jelsema, Shyamal D. Peddada
Maintainer: Casey M. Jelsema <jelsema.casey@gmail.com>

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Package tvR updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-24

Title: Total Variation Regularization
Description: Provides tools for denoising noisy signal and images via Total Variation Regularization. Reducing the total variation of the given signal is known to remove spurious detail while preserving essential structural details. For the seminal work on the topic, see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>

Diff between tvR versions 0.1.0 dated 2017-10-24 and 0.1.1 dated 2017-12-08

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Package rsvd updated to version 0.9 with previous version 0.6 dated 2016-07-29

Title: Randomized Singular Value Decomposition
Description: Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided.
Author: N. Benjamin Erichson [aut, cre]
Maintainer: N. Benjamin Erichson <erichson@uw.edu>

Diff between rsvd versions 0.6 dated 2016-07-29 and 0.9 dated 2017-12-08

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More information about rsvd at CRAN
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Package penaltyLearning updated to version 2017.12.08 with previous version 2017.07.11 dated 2017-07-11

Title: Penalty Learning
Description: Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach <http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between penaltyLearning versions 2017.07.11 dated 2017-07-11 and 2017.12.08 dated 2017-12-08

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Package logitnorm updated to version 0.8.35 with previous version 0.8.34 dated 2017-03-14

Title: Functions for the Logitnormal Distribution
Description: Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

Diff between logitnorm versions 0.8.34 dated 2017-03-14 and 0.8.35 dated 2017-12-08

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Package iheatmapr updated to version 0.4.3 with previous version 0.4.2 dated 2017-11-11

Title: Interactive, Complex Heatmaps
Description: Make complex, interactive heatmaps. 'iheatmapr' includes a modular system for iteratively building up complex heatmaps, as well as the iheatmap() function for making relatively standard heatmaps.
Author: Alicia Schep [aut, cre] (orcid.org/0000-0002-3915-0618), Sarah Kummerfeld [aut] (orcid.org/0000-0002-0089-2358), Genentech [cph], Andee Kaplan [rev] (Reviewer for rOpensci review process https://github.com/ropensci/onboarding/issues/107), Carl Ganz [rev] (Reviewer for rOpensci review process https://github.com/ropensci/onboarding/issues/107), Alex Johnson [ctb] (plotly.js library), Étienne Tétreault-Pinard [ctb] (plotly.js library), Mikola Lysenko [ctb] (plotly.js library), Ricky Reusser [ctb] (plotly.js library), Robert Monfera [ctb] (plotly.js library), Nicolas Riesco [ctb] (plotly.js library), Miklós Tusz [ctb] (plotly.js library), Chelsea Douglas [ctb] (plotly.js library), Ben Postlethwaite [ctb] (plotly.js library), Chris Parmer [ctb] (plotly.js library), Alex Vados [ctb] (plotly.js library), Plotly [cph] (plotly.js library)
Maintainer: Alicia Schep <aschep@gmail.com>

Diff between iheatmapr versions 0.4.2 dated 2017-11-11 and 0.4.3 dated 2017-12-08

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Package NNS updated to version 0.3.8.1 with previous version 0.3.8 dated 2017-11-13

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modelling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.3.8 dated 2017-11-13 and 0.3.8.1 dated 2017-12-08

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Package deisotoper updated to version 0.0.2 with previous version 0.0.1 dated 2017-11-26

Title: Detection of Isotope Pattern of a Mass Spectrometric Measurement
Description: Provides a low-level interface for a deisotoper container implemented in the 'Java' programming language and means of S3 helper functions for plotting and debugging isotopes of mass spectrometric data. The deisotoper algorithm detects and aggregates peaks which belong to the same isotopic cluster of a given mass spectrum.
Author: Christian Panse [cre, aut] (0000-0003-1975-3064), Lucas Schmidt [ctb, aut] (0000-0003-4496-0487), Witold E. Wolski [ctb, aut] (0000-0002-6468-120X)
Maintainer: Christian Panse <cp@fgcz.ethz.ch>

Diff between deisotoper versions 0.0.1 dated 2017-11-26 and 0.0.2 dated 2017-12-08

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 deisotoper-0.0.2/deisotoper/java/deisotoper/pom.xml                                                                   |   10 
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 deisotoper-0.0.2/deisotoper/man/deisotope.Rd                                                                          |   23 
 deisotoper-0.0.2/deisotoper/man/deisotoper.Rd                                                                         |   27 
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Package qicharts2 updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-19

Title: Quality Improvement Charts
Description: Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
Author: Jacob Anhoej [aut, cre]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

Diff between qicharts2 versions 0.2.0 dated 2017-11-19 and 0.2.1 dated 2017-12-08

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Package KFAS updated to version 1.3.0 with previous version 1.2.9 dated 2017-08-21

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 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 1.2.9 dated 2017-08-21 and 1.3.0 dated 2017-12-08

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Package UniDOE updated to version 1.0.1 with previous version 1.0 dated 2017-11-29

Title: Uniform Design of Experiments
Description: Efficient procedures for constructing uniform design of experiments under various space-filling criteria. It is based on a stochastic and adaptive threshold accepting algorithm with flexible initialization, adaptive threshold, and stochastic evolution. The package may also construct the augmented uniform designs in a sequential manner.
Author: Aijun Zhang, Haoyu Li, Shijie Quan
Maintainer: Aijun Zhang <ajzhang@hku.hk>

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New package snowflakes with initial version 1.0.0
Package: snowflakes
Title: Random Snowflake Generator
Version: 1.0.0
Date: 2017-11-12
Author: Svetlana Eden <svetlana.eden@vanderbilt.edu>
Maintainer: Svetlana Eden <svetlana.eden@vanderbilt.edu>
Description: The function generates and plots random snowflakes. Each snowflake is defined by a given diameter, width of the crystal, color, and random seed. Snowflakes are plotted in such way that they always remain round, no matter what the aspect ratio of the plot is. Snowflakes can be created using transparent colors, which creates a more interesting, somewhat realistic, image. Images of the snowflakes can be separately saved as svg files and used in websites as static or animated images.
License: GPL (>= 2)
Depends: R (>= 3.1.0)
LazyLoad: yes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-07 16:43:32 UTC; svetlanaeden
Repository: CRAN
Date/Publication: 2017-12-08 09:49:59 UTC

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New package ProFound with initial version 1.0.0
Package: ProFound
Type: Package
Title: Photometry Tools
Version: 1.0.0
Date: 2017-12-07
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Description: Core package containing all the tools for simple and advanced source extraction. This is used to create inputs for 'ProFit', or for source detection, extraction and photometry in its own right.
License: LGPL-3
Depends: R (>= 3.0), magicaxis (>= 2.0.3), celestial (>= 1.4.1), FITSio, data.table
Suggests: ProFit, knitr, rmarkdown, EBImage, akima, imager, LaplacesDemon
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 15:19:52 UTC; aaron
Repository: CRAN
Date/Publication: 2017-12-08 09:43:48 UTC

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New package NetworkDistance with initial version 0.1.0
Package: NetworkDistance
Type: Package
Title: Distance Measures for Networks
Version: 0.1.0
Authors@R: person(given="Kisung",family="You",role=c("aut","cre"),email="kyou@nd.edu",comment=c(ORCID="0000-0002-8584-459X"))
Description: Network is a prevalent form of data structure in many fields. As an object of analysis, many distance or metric measures have been proposed to define the concept of similarity between two networks. We provide a number of distance measures for networks. See Jurman et al (2011) <doi:10.3233/978-1-60750-692-8-227> for an overview on spectral class of inter-graph distance measures.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Matrix, Rcpp, Rdpack, RSpectra, doParallel, foreach, parallel, stats, igraph, network
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-12-07 17:41:14 UTC; kisung
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>
Repository: CRAN
Date/Publication: 2017-12-08 09:54:21 UTC

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New package dissever with initial version 0.2-1
Package: dissever
Type: Package
Title: Spatial Downscaling using the Dissever Algorithm
Version: 0.2-1
Date: 2017-12-07
Authors@R: c( person("Pierre", "Roudier", email = "roudierp@landcareresearch.co.nz", role = c("cre", "aut")), person("Brendan", "Malone", email = "brendan.malone@sydney.edu.au", role = "ctb") )
Description: Spatial downscaling of coarse grid mapping to fine grid mapping using predictive covariates and a model fitted using the 'caret' package. The original dissever algorithm was published by Malone et al. (2012) <doi:10.1016/j.cageo.2011.08.021>, and extended by Roudier et al. (2017) <doi:10.1016/j.compag.2017.08.021>.
URL: https://github.com/pierreroudier/dissever
BugReports: https://github.com/pierreroudier/dissever/issues
License: GPL-2
LazyData: TRUE
Imports: methods, caret, sp, raster, plyr, dplyr, foreach, boot, magrittr, viridis
Suggests: knitr, rmarkdown
Collate: 'dissever-package.R' 'dissever.R'
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-07 20:29:51 UTC; pierre
Author: Pierre Roudier [cre, aut], Brendan Malone [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>
Repository: CRAN
Date/Publication: 2017-12-08 09:56:40 UTC

More information about dissever at CRAN
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Package WARN updated to version 1.2-3 with previous version 1.2-2 dated 2017-02-21

Title: Weaning Age Reconstruction with Nitrogen Isotope Analysis
Description: This estimates precise weaning ages for a given skeletal population by analyzing the stable nitrogen isotope ratios of them. Bone collagen turnover rates estimated anew and the approximate Bayesian computation (ABC) were adopted in this package.
Author: Takumi Tsutaya
Maintainer: Takumi Tsutaya <tsutayatakumi@gmail.com>

Diff between WARN versions 1.2-2 dated 2017-02-21 and 1.2-3 dated 2017-12-08

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Package MortalityLaws updated to version 1.2.0 with previous version 1.0.5 dated 2017-10-26

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. An elegant function for downloading data from Human Mortality Database <http://www.mortality.org> is provided as well.
Author: Marius D. Pascariu [aut, cre], Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

Diff between MortalityLaws versions 1.0.5 dated 2017-10-26 and 1.2.0 dated 2017-12-08

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Package flextable updated to version 0.4.0 with previous version 0.3.0 dated 2017-09-05

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'Microsoft Word', 'Microsoft PowerPoint' and 'HTML' documents. Functions are provided to let users create tables, modify and format their content. It extends package 'officer' that does not contain any feature for customized tabular reporting and can be used with R Markdown documents.
Author: David Gohel [aut, cre], Maxim Nazarov [ctb] (rmarkdown for docx output)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.3.0 dated 2017-09-05 and 0.4.0 dated 2017-12-08

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Package xray updated to version 0.2 with previous version 0.1 dated 2017-11-22

Title: X Ray Vision on your Datasets
Description: Tools to analyze datasets previous to any statistical modeling. Has various functions designed to find inconsistencies and understanding the distribution of the data.
Author: Pablo Seibelt [aut, cre]
Maintainer: Pablo Seibelt <pabloseibelt@sicarul.com>

Diff between xray versions 0.1 dated 2017-11-22 and 0.2 dated 2017-12-08

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Thu, 07 Dec 2017

Package jmv updated to version 0.8.1.11 with previous version 0.8 dated 2017-09-15

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker, Jonathon Love, Damian Dropmann
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 0.8 dated 2017-09-15 and 0.8.1.11 dated 2017-12-07

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Package vcfR updated to version 1.6.0 with previous version 1.5.0 dated 2017-05-18

Title: Manipulate and Visualize VCF Data
Description: Facilitates easy manipulation of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices of data. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file (*.vcf.gz). It also may be converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and familiar R software.
Author: Brian J. Knaus [cre, aut] (0000-0003-1665-4343), Niklaus J. Grunwald [aut] (0000-0003-1656-7602), Eric C. Anderson [ctb], David J. Winter [ctb], Zhian N. Kamvar [ctb] (0000-0003-1458-7108), Javier F. Tabima [ctb] (0000-0002-3603-2691)
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

Diff between vcfR versions 1.5.0 dated 2017-05-18 and 1.6.0 dated 2017-12-07

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Package spatialEco updated to version 1.0-0 with previous version 0.1-7 dated 2017-04-11

Title: Spatial Analysis and Modelling
Description: Utilities to support spatial data manipulation, query, sampling and modelling. Functions include models for species population density, download utilities for climate and global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, polygon and point-distance landscape metrics, auto-logistic model, sampling models, cluster optimization and statistical exploratory tools.
Author: Jeffrey S. Evans [aut, cre], Karthik Ram [ctb]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

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Package scrm updated to version 1.7.2-1 with previous version 1.7.2-0 dated 2016-12-11

Title: Simulating the Evolution of Biological Sequences
Description: A coalescent simulator that allows the rapid simulation of biological sequences under neutral models of evolution. Different to other coalescent based simulations, it has an optional approximation parameter that allows for high accuracy while maintaining a linear run time cost for long sequences. It is optimized for simulating massive data sets as produced by Next- Generation Sequencing technologies for up to several thousand sequences.
Author: Paul Staab [aut, cre, cph], Zhu Sha [aut, cph], Dirk Metzler [aut, cph, ths], Gerton Lunter [aut, cph, ths]
Maintainer: Paul Staab <develop@paulstaab.de>

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Package s20x updated to version 3.1-26 with previous version 3.1-25 dated 2017-11-23

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package rpf updated to version 0.56 with previous version 0.55 dated 2017-10-11

Title: Response Probability Functions
Description: The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable().
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb], Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>

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Package randomcoloR updated to version 1.1.0 with previous version 1.0.0 dated 2016-03-29

Title: Generate Attractive Random Colors
Description: Simple methods to generate attractive random colors. The random colors are from a wrapper of 'randomColor.js' <https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by 'IWantHue' <https://github.com/medialab/iwanthue>).
Author: Ron Ammar
Maintainer: Ron Ammar <ron.ammar@gmail.com>

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Package jomo updated to version 2.5-2 with previous version 2.5-1 dated 2017-10-18

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

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Package controlTest updated to version 1.1.0 with previous version 1.0 dated 2015-06-17

Title: Quantile Comparison for Two-Sample Right-Censored Survival Data
Description: Nonparametric two-sample procedure for comparing survival quantiles.
Author: Eric S. Kawaguchi [aut, cre]
Maintainer: Eric S. Kawaguchi <erickawaguchi@ucla.edu>

Diff between controlTest versions 1.0 dated 2015-06-17 and 1.1.0 dated 2017-12-07

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Package bea.R updated to version 1.0.4 with previous version 1.0.2 dated 2017-07-13

Title: Bureau of Economic Analysis API
Description: Provides an R interface for the Bureau of Economic Analysis (BEA) API (see <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for more information) that serves two core purposes - 1. To Extract/Transform/Load data [beaGet()] from the BEA API as R-friendly formats in the user's work space [transformation done by default in beaGet() can be modified using optional parameters; see, too, bea2List(), bea2Tab()]. 2. To enable the search of descriptive meta data [beaSearch()]. Other features of the library exist mainly as intermediate methods or are in early stages of development. Important Note - You must have an API key to use this library. Register for a key at <http://www.bea.gov/API/signup/index.cfm> .
Author: Andrea Batch [aut, cre], Jeff Chen [ctb], Walt Kampas [ctb]
Maintainer: Andrea Batch <Andrea.Julca@bea.gov>

Diff between bea.R versions 1.0.2 dated 2017-07-13 and 1.0.4 dated 2017-12-07

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Package bayesDP updated to version 1.3.0 with previous version 1.2.2 dated 2017-08-17

Title: Tools for the Bayesian Discount Prior Function
Description: Functions for data augmentation using the Bayesian discount prior function for 1 arm and 2 arm clinical trials.
Author: Shawn Balcome [cre], Donnie Musgrove [aut], Tarek Haddad [aut], Christopher Jackson [ctb] (For the ppexp R code that was ported to C++.)
Maintainer: Shawn Balcome <sbalcome@mdic.org>

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Package matdist updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-16

Title: Matrix Variate Distributions
Description: Provides tools for computing densities and generating random samples from matrix variate distributions, including matrix normal, Wishart, matrix Student-t, matrix Dirichlet and matrix beta distributions. For complete disposition, see Gupta and Nagar (1999) <ISBN:978-1584880462>.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>

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Package DOBAD updated to version 1.0.6 with previous version 1.0.5 dated 2016-03-24

Title: Analysis of Discretely Observed Linear Birth-and-Death(-and-Immigration) Markov Chains
Description: Provides Frequentist (EM) and Bayesian (MCMC) Methods for Inference of Birth-Death-Immigration Markov Chains.
Author: Charles Doss, Vladimir Minin, Marc Suchard
Maintainer: Charles Doss <cdoss@umn.edu>

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Package HistDAWass updated to version 1.0.0 with previous version 0.1.8 dated 2017-10-06

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi:10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

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Package sampleSelection updated to version 1.2-0 with previous version 1.0-4 dated 2015-11-03

Title: Sample Selection Models
Description: Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models.
Author: Arne Henningsen [aut, cre], Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package oddsratio updated to version 1.0.2 with previous version 1.0.0 dated 2017-06-12

Title: Odds Ratio Calculation for GAM(M)s & GLM(M)s
Description: Simplified odds ratio calculation of GAM(M)s & GLM(M)s. Provides structured output (data frame) of all predictors and their corresponding odds ratios and confident intervals for further analyses. It helps to avoid false references of predictors and increments by specifying these parameters in a list instead of using 'exp(coef(model))' (standard approach of odds ratio calculation for GLMs) which just returns a plain numeric output. For GAM(M)s, odds ratio calculation is highly simplified with this package since it takes care of the multiple 'predict()' calls of the chosen predictor while holding other predictors constant. Also, this package allows odds ratio calculation of percentage steps across the whole predictor distribution range for GAM(M)s. In both cases, confident intervals are returned additionally. Calculated odds ratio of GAM(M)s can be inserted into the smooth function plot.
Author: Patrick Schratz [aut, cre] (0000-0003-0748-6624)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package MMDai updated to version 1.4.0 with previous version 1.3.0 dated 2017-10-02

Title: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data
Description: Missingness in categorical data is a common problem in various real applications. Traditional approaches either utilize only the complete observations or impute the missing data by some ad hoc methods rather than the true conditional distribution of the missing data, thus losing or distorting the rich information in the partial observations. This package develops a Bayesian nonparametric approach, the Dirichlet Process Mixture of Collapsed Product-Multinomials (DPMCPM, Wang et al. (2017) <arXiv:1712.02214v1>), to model the full data jointly and compute the model efficiently. By fitting an infinite mixture of product-multinomial distributions, DPMCPM is applicable for any categorical data regardless of the true distribution, which may contain complex association among variables. Under the framework of latent class analysis, we show that DPMCPM can model general missing mechanisms by creating an extra category to denote missingness, which implicitly integrates out the missing part with regard to their true conditional distribution.
Author: Chaojie Wang
Maintainer: Chaojie Wang <wang910930@163.com>

Diff between MMDai versions 1.3.0 dated 2017-10-02 and 1.4.0 dated 2017-12-07

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New package GetDFPData with initial version 0.5
Package: GetDFPData
Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Version: 0.5
Date: 2017-12-07
Authors@R: person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre"))
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is especially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Depends: R (>= 3.3.0)
Imports: stringr, XML, dplyr, readr, reshape2, tibble, xlsx, stats, curl
License: GPL-2
BugReports: https://github.com/msperlin/GetDFPData/issues
URL: https://github.com/msperlin/GetDFPData/
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 14:49:30 UTC; msperlin
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2017-12-07 15:10:44 UTC

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Package udpipe updated to version 0.2.2 with previous version 0.2.1 dated 2017-12-06

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [cph], Jana Straková [cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package Compind updated to version 1.2.1 with previous version 1.2 dated 2017-06-20

Title: Composite Indicators Functions
Description: Contains several functions to enhance approaches to the Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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New package togglr with initial version 0.1.3
Package: togglr
Type: Package
Title: 'Toggl.com' Api for 'Rstudio'
Version: 0.1.3
Authors@R: person("Vincent", "Guyader", email = "vincent@thinkr.fr", role = c("aut", "cre"))
Description: Use the <http://toggl.com> time tracker api through R.
License: GPL-3
LazyData: TRUE
Imports: rstudioapi, lubridate, httr, jsonlite, magrittr, prettyunits, dplyr, assertthat, purrr, glue, getPass, keyring
RoxygenNote: 6.0.1
BugReports: https://github.com/ThinkR-open/togglr/issues
URL: https://github.com/ThinkR-open/togglr
ByteCompile: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 11:26:59 UTC; vincent
Author: Vincent Guyader [aut, cre]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2017-12-07 12:21:52 UTC

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New package PlackettLuce with initial version 0.2-1
Package: PlackettLuce
Type: Package
Title: Plackett-Luce Models for Rankings
Version: 0.2-1
Authors@R: c(person("Heather", "Turner", email = "ht@heatherturner.net", role = c("aut", "cre")), person("Ioannis", "Kosmidis", role = "aut"), person("David", "Firth", role = "aut"), person("Jacob", "van Etten", role = "ctb"))
URL: https://hturner.github.io/PlackettLuce/
BugReports: https://github.com/hturner/PlackettLuce/issues
Description: Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings are handled by adding pseudo-rankings with a hypothetical item. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for full details.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: MASS, Matrix, igraph, partykit, psychotools, rARPACK, qvcalc, sandwich, stats
Suggests: BiocStyle, BradleyTerry2, BradleyTerryScalable, Matrix.utils, PLMIX, StatRank, covr, hyper2, kableExtra, knitr, lbfgs, gnm, pmr, psychotree, rmarkdown, testthat, tibble
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-12-07 11:08:17 UTC; hturner
Author: Heather Turner [aut, cre], Ioannis Kosmidis [aut], David Firth [aut], Jacob van Etten [ctb]
Maintainer: Heather Turner <ht@heatherturner.net>
Repository: CRAN
Date/Publication: 2017-12-07 12:14:38 UTC

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New package alR with initial version 2.2.2
Package: alR
Version: 2.2.2
Date: 2017-12-07
Title: Arc Lengths of Statistical Functions
Description: Estimation, regression and classification are redefined using a mathematically intractible measure, namely, the arc length. Functions for parameter estimation, goodness-of-fit and regression (linear and non-linear) are provided. These methods have been implemented with parallel computing in mind, and may therefore be executed on large clusters.
Depends: R (>= 3.2)
Imports: alabama, pbdMPI, DEoptimR, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Author: M Theodor Loots <theodor.loots@up.ac.za>
Maintainer: M Theodor Loots <theodor.loots@up.ac.za>
License: GPL (>= 2)
URL: https://github.com/mtloots/alR
RoxygenNote: 6.0.1
Suggests: testthat
LazyData: true
NeedsCompilation: yes
Packaged: 2017-12-07 10:27:05 UTC; User
Repository: CRAN
Date/Publication: 2017-12-07 12:02:24 UTC

More information about alR at CRAN
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New package TukeyRegion with initial version 0.1.0
Package: TukeyRegion
Type: Package
Title: Tukey Region and Median
Version: 0.1.0
Date: 2017-12-07
Authors@R: c(person("C. Bradford", "Barber", role = c("aut", "cph")), person("The Geometry Center", "University of Minnesota", role = c("cph")), person("Andrew", "Makhorin", role = c("aut", "cph")), person("Timothy A.", "Davis", role = c("aut", "cph")), person("Patrick R.", "Amestoy", role = c("aut", "cph")), person("Iain S.", "Duff", role = c("aut", "cph")), person("John K.", "Reid", role = c("aut", "cph")), person("Stefan I.", "Larimore", role = c("aut")), person("Jean-loup", "Gailly", role = c("aut", "cph")), person("Mark", "Adler", role = c("aut", "cph")), person("Niklas", "Sorensson", role = c("aut", "cph")), person("Giorgio", "Sartor", role = c("aut")), person("Heinrich", "Schuchardt", role = c("aut")), person("Cosmin", "Truta", role = c("ctb")), person("Alan", "Mishchenko", role = c("ctb")), person("Tamas", "Badics", role = c("ctb")), person("Pavlo", "Mozharovskyi", role = c("aut", "cre"), email = "pavlo.mozharovskyi@ensai.fr"))
Description: Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2017) <arXiv:1412.5122>.
License: GPL (>= 3) | file LICENSE
SystemRequirements: C++11
Depends: rgl,ddalpha,MASS,bfp
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp,BH
NeedsCompilation: yes
Packaged: 2017-12-07 06:26:08 UTC; pavlo.mozharovskyi
Author: C. Bradford Barber [aut, cph], The Geometry Center University of Minnesota [cph], Andrew Makhorin [aut, cph], Timothy A. Davis [aut, cph], Patrick R. Amestoy [aut, cph], Iain S. Duff [aut, cph], John K. Reid [aut, cph], Stefan I. Larimore [aut], Jean-loup Gailly [aut, cph], Mark Adler [aut, cph], Niklas Sorensson [aut, cph], Giorgio Sartor [aut], Heinrich Schuchardt [aut], Cosmin Truta [ctb], Alan Mishchenko [ctb], Tamas Badics [ctb], Pavlo Mozharovskyi [aut, cre]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@ensai.fr>
Repository: CRAN
Date/Publication: 2017-12-07 11:35:25 UTC

More information about TukeyRegion at CRAN
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New package recurse with initial version 1.0.0
Package: recurse
Type: Package
Title: Computes Revisitation Metrics for Trajectory Data
Version: 1.0.0
Date: 2017-12-07
Author: Chloe Bracis <cbracis@uw.edu>
Maintainer: Chloe Bracis <cbracis@uw.edu>
Description: Computes revisitation metrics for trajectory data, such as the number of revisitations for each location as well as the time spent for that visit and the time since the previous visit. Also includes functions to plot data.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.7)
LinkingTo: Rcpp
Suggests: testthat, circular, prevR, scales, fields, methods, move, knitr, rmarkdown
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-12-07 10:25:27 UTC; bunch
Repository: CRAN
Date/Publication: 2017-12-07 11:55:24 UTC

More information about recurse at CRAN
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Package antaresProcessing updated to version 0.12 with previous version 0.11 dated 2017-07-13

Title: Antares Results Processing
Description: Process results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: <https://antares.rte-france.com>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between antaresProcessing versions 0.11 dated 2017-07-13 and 0.12 dated 2017-12-07

 antaresProcessing-0.11/antaresProcessing/R/ramps.R                                 |only
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 antaresProcessing-0.12/antaresProcessing/R/addNetLoad.R                            |  142 +--
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/helper_init.R              |   64 +
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addDownwardMargin.R   |  140 +--
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addLoadFactorLink.R   |  127 +--
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-addUpwardMargin.R     |  159 +--
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-modulation.R          |  114 +-
 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-netLoad.R             |   85 +-
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 antaresProcessing-0.12/antaresProcessing/tests/testthat/test-thermalGeneration.R   |only
 56 files changed, 2595 insertions(+), 2239 deletions(-)

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New package EpiILMCT with initial version 1.0
Package: EpiILMCT
Title: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Version: 1.0
Date: 2017-12-05
Author: Waleed Almutiry, Vineetha Warriyar K. V. and Rob Deardon
Maintainer: Waleed Almutiry <walmutir@uoguelph.ca>
Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks.
Depends: graphics, grDevices, stats, utils, R (>= 3.2.0)
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-12-06 21:46:13 UTC; waleed
Repository: CRAN
Date/Publication: 2017-12-07 10:03:45 UTC

More information about EpiILMCT at CRAN
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Package Rlinsolve updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-07

Title: Iterative Solvers for (Sparse) Linear System of Equations
Description: Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. We provide basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using 'Matrix' package along with 'RcppArmadillo'. For a more detailed description, see a book by Saad (2003) <doi:10.1137/1.9780898718003>.
Author: Kisung You [aut, cre] (0000-0002-8584-459X)
Maintainer: Kisung You <kyou@nd.edu>

Diff between Rlinsolve versions 0.1.1 dated 2017-10-07 and 0.1.2 dated 2017-12-07

 DESCRIPTION                    |   13 +++++----
 MD5                            |   56 +++++++++++++++++++++--------------------
 R/lsolve_BICG.R                |    9 ++++--
 R/lsolve_BICGSTAB.R            |    5 ++-
 R/lsolve_CG.R                  |    4 ++
 R/lsolve_CGS.R                 |    3 ++
 R/lsolve_CHEBY.R               |    4 ++
 R/lsolve_GMRES.R               |    5 ++-
 R/lsolve_GS.R                  |    4 ++
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 R/lsolve_QMR.R                 |    5 ++-
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 man/krylov_BICGSTAB.Rd         |    3 --
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 man/krylov_CGS.Rd              |    3 ++
 man/krylov_CHEBY.Rd            |    2 -
 man/krylov_GMRES.Rd            |    2 -
 man/krylov_QMR.Rd              |    3 --
 30 files changed, 117 insertions(+), 90 deletions(-)

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Package plotrix updated to version 3.7 with previous version 3.6-6 dated 2017-08-16

Title: Various Plotting Functions
Description: Lots of plots, various labeling, axis and color scaling functions.
Author: Jim Lemon, Ben Bolker, Sander Oom, Eduardo Klein, Barry Rowlingson, Hadley Wickham, Anupam Tyagi, Olivier Eterradossi, Gabor Grothendieck, Michael Toews, John Kane, Rolf Turner, Carl Witthoft, Julian Stander, Thomas Petzoldt, Remko Duursma, Elisa Biancotto, Ofir Levy, Christophe Dutang, Peter Solymos, Robby Engelmann, Michael Hecker, Felix Steinbeck, Hans Borchers, Henrik Singmann, Ted Toal, Derek Ogle, Darshan Baral, Ulrike Groemping
Maintainer: Jim Lemon <drjimlemon@gmail.com>

Diff between plotrix versions 3.6-6 dated 2017-08-16 and 3.7 dated 2017-12-07

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Package MazamaSpatialUtils updated to version 0.5.2 with previous version 0.5.1 dated 2017-08-03

Title: Spatial Data Download and Utility Functions
Description: A suite of conversion scripts to create internally standardized spatial polygons data frames. Utility scripts use these data sets to return values such as country, state, timezone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre], Ruby Fore [aut], Will Leahy [aut], Helen Miller [aut], Henry Nguyen [aut], Robin Winstanley [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaSpatialUtils versions 0.5.1 dated 2017-08-03 and 0.5.2 dated 2017-12-07

 DESCRIPTION                |    8 +++--
 MD5                        |   20 +++++++-------
 R/MazamaSpatialUtils.R     |   58 -----------------------------------------
 R/convertIndianLands.R     |    8 ++---
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Package manipulateWidget updated to version 0.8.0 with previous version 0.7.0 dated 2017-06-17

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], RTE [cph], JJ Allaire [ctb], Marion Praz [ctb] (New user interface), Benoit Thieurmel [ctb], Titouan Robert [ctb]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

Diff between manipulateWidget versions 0.7.0 dated 2017-06-17 and 0.8.0 dated 2017-12-07

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Package LabourMarketAreas updated to version 3.2 with previous version 3.1 dated 2017-08-29

Title: Identification, Tuning, Visualisation and Analysis of Labour Market Areas
Description: Produces Labour Market Areas from commuting flows available at elementary territorial units. It provides tools for automatic tuning based on spatial contiguity. It also allows for statistical analyses and visualisation of the new functional geography.
Author: Daniela Ichim, Luisa Franconi, Michele D'Alo', Guido van den Heuvel
Maintainer: Luisa Franconi <franconi@istat.it>

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Package jpndistrict updated to version 0.3.0 with previous version 0.2.0 dated 2017-07-23

Title: Create Japanese Administration Area and Office Maps
Description: Utilizing the data that Japanese administration area provided by the National Land Numerical Information download service (<http://nlftp.mlit.go.jp/ksj/index.html>). This package provide map data is based on the Digital Map 25000(Map Image) published by Geospatial Information Authority of Japan (Approval No.603FY2017 information usage <http://www.gsi.go.jp>).
Author: Shinya Uryu [aut, cre] (0000-0002-0493-6186), Geospatial Information Authority of Japan [dtc] (This package data sets, National Land numerical information by the Geographical Survey Institute with the approval of Geographical Survey Institute Head (Approval No.603FY2017 information usage))
Maintainer: Shinya Uryu <suika1127@gmail.com>

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New package FixedPoint with initial version 0.1
Package: FixedPoint
Type: Package
Title: Algorithms for Finding Fixed Point Vectors of Functions
Version: 0.1
Author: Stuart Baumann & Margaryta Klymak
Maintainer: Stuart Baumann <Stuart@StuartBaumann.com>
Description: For functions that take and return vectors (or scalars), this package provides 8 algorithms for finding fixed point vectors (vectors for which the inputs and outputs to the function are the same vector). These algorithms include Anderson (1965) acceleration <doi:10.1145/321296.321305>, epsilon extrapolation methods (Wynn 1962 <doi:10.2307/2004051>) and minimal polynomial methods (Cabay and Jackson 1976 <doi:10.1137/0713060>).
License: MIT + file LICENSE
Depends: MASS
Suggests: testthat, schumaker, cubature, knitr, foreach, doParallel
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-06 19:48:14 UTC; stuar
Repository: CRAN
Date/Publication: 2017-12-07 09:59:17 UTC

More information about FixedPoint at CRAN
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Package icenReg updated to version 2.0.7 with previous version 2.0.6 dated 2017-11-06

Title: Regression Models for Interval Censored Data
Description: Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.
Author: Clifford Anderson-Bergman
Maintainer: Clifford Anderson-Bergman <pistacliffcho@gmail.com>

Diff between icenReg versions 2.0.6 dated 2017-11-06 and 2.0.7 dated 2017-12-07

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