Thu, 30 Jul 2015

New package rpca with initial version 0.2.3
Package: rpca
Type: Package
Title: RobustPCA: Decompose a Matrix into Low-Rank and Sparse Components
Version: 0.2.3
Date: 2015-07-19
Author: Maciek Sykulski [aut, cre]
Maintainer: Maciek Sykulski <macieksk@gmail.com>
Authors@R: person("Maciek", "Sykulski", email = "macieksk@gmail.com", role = c("aut", "cre"))
Description: Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Candes, E. J., Li, X., Ma, Y., & Wright, J. (2011). Robust principal component analysis?. Journal of the ACM (JACM), 58(3), 11. prove that we can recover each component individually under some suitable assumptions. It is possible to recover both the low-rank and the sparse components exactly by solving a very convenient convex program called Principal Component Pursuit; among all feasible decompositions, simply minimize a weighted combination of the nuclear norm and of the L1 norm. This package implements this decomposition algorithm resulting with Robust PCA approach.
License: GPL-2 | GPL-3
Imports: compiler
NeedsCompilation: no
Packaged: 2015-07-30 22:24:20 UTC; macieksk
Repository: CRAN
Date/Publication: 2015-07-31 01:15:38

More information about rpca at CRAN
Permanent link

Package rdrop2 updated to version 0.7.0 with previous version 0.6 dated 2015-04-15

Title: Programmatic Interface to the 'Dropbox' API
Description: Provides full programmatic access to the Dropbox file hosting platform (dropbox.com), including support for all standard file operations.
Author: Karthik Ram [aut, cre]
Maintainer: Karthik Ram <karthik.ram@gmail.com>

Diff between rdrop2 versions 0.6 dated 2015-04-15 and 0.7.0 dated 2015-07-30

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Package phonTools updated to version 0.2-2.1 with previous version 0.2-2.0 dated 2014-08-04

Title: Tools for Phonetic and Acoustic Analyses
Description: Contains tools for the organization, display, and analysis of the sorts of data frequently encountered in phonetics research and experimentation, including the easy creation of IPA vowel plots, and the creation and manipulation of WAVE audio files.
Author: Santiago Barreda
Maintainer: Santiago Barreda <sbarreda@ucdavis.edu>

Diff between phonTools versions 0.2-2.0 dated 2014-08-04 and 0.2-2.1 dated 2015-07-30

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More information about phonTools at CRAN
Permanent link

Package optmatch updated to version 0.9-5 with previous version 0.9-3 dated 2014-08-12

Title: Functions for Optimal Matching
Description: Provides routines for distance based bipartite matching to reduce covariate imbalance between treatment and control groups in observational studies. Routines are provided to generate distances from GLM models (propensity score matching) and formulas (Euclidean and Mahalanobis matching), stratified matching (exact matching), and calipers. Results of the fullmatch routine are guaranteed to provide minimum average within matched set distance.
Author: Ben B. Hansen <ben.hansen@umich.edu>, Mark Fredrickson <mark.m.fredrickson@gmail.com>, Josh Buckner, Josh Errickson, and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <dimitrib@mit.edu> and Paul Tseng
Maintainer: Mark M. Fredrickson <mark.m.fredrickson@gmail.com>

Diff between optmatch versions 0.9-3 dated 2014-08-12 and 0.9-5 dated 2015-07-30

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Package myTAI updated to version 0.3.0 with previous version 0.2.1 dated 2015-07-23

Title: Performing Phylotranscriptomics with R
Description: A statistical framework allowing users interested in the evolution of biological processes to capture evolutionary signals in transcriptomes.
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hajk-georg.drost@informatik.uni-halle.de>

Diff between myTAI versions 0.2.1 dated 2015-07-23 and 0.3.0 dated 2015-07-30

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More information about myTAI at CRAN
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New package MRQoL with initial version 1.0
Package: MRQoL
Type: Package
Title: Minimal Clinically Important Difference and Response Shift Effect for Health-Related Quality of Life
Version: 1.0
Date: 2015-07-30
Author: Ahmad Ousmen
Maintainer: Ahmad Ousmen <ousmen.ahmad@hotmail.com>
Description: We can calculate directly used this package the Minimal Clinically Important Difference by applying the Anchor-based method and the Response shift effect by applying the Then-Test method.
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2015-07-30 16:16:40 UTC; hyper
Repository: CRAN
Date/Publication: 2015-07-31 01:00:10

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Package Harvest.Tree updated to version 1.1 with previous version 1.0 dated 2015-07-10

Title: Harvest the Classification Tree
Description: Aimed at applying the Harvest classification tree algorithm, modified algorithm of classic classification tree.The harvested tree has advantage of deleting redundant rules in trees, leading to a simplify and more efficient tree model.It was firstly used in drug discovery field, but it also performs well in other kinds of data, especially when the region of a class is disconnected. This package also improves the basic harvest classification tree algorithm by extending the field of data of algorithm to both continuous and categorical variables. To learn more about the harvest classification tree algorithm, you can go to http://www.stat.ubc.ca/Research/TechReports/techreports/220.pdf for more information.
Author: Bingyuan Liu/Yan Yuan/Qian Shi
Maintainer: Bingyuan Liu <adler1016@gmail.com>

Diff between Harvest.Tree versions 1.0 dated 2015-07-10 and 1.1 dated 2015-07-30

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More information about Harvest.Tree at CRAN
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Package dendextend updated to version 1.1.0 with previous version 1.0.1 dated 2015-06-28

Title: Extending R's Dendrogram Functionality
Description: Offers a set of functions for extending dendrogram objects in R, letting you visualize and compare trees of hierarchical clusterings. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different dendrograms to one another.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com), Gavin Simpson [ctb], Gregory Jefferis [ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.0.1 dated 2015-06-28 and 1.1.0 dated 2015-07-30

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More information about dendextend at CRAN
Permanent link

Package climwin updated to version 0.1.1 with previous version 0.1.0 dated 2015-07-19

Title: Climate Window Analysis
Description: Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response.
Author: Liam D. Bailey and Martijn van de Pol
Maintainer: Liam D. Bailey <liam.bailey@anu.edu.au>

Diff between climwin versions 0.1.0 dated 2015-07-19 and 0.1.1 dated 2015-07-30

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More information about climwin at CRAN
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Package plotmo updated to version 3.1.4 with previous version 3.1.3 dated 2015-06-24

Title: Plot a Model's Response and Residuals
Description: Plot a model's response when varying one or two predictors while holding the other predictors constant. A poor man's partial dependence plot. Also plot model residuals.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

Diff between plotmo versions 3.1.3 dated 2015-06-24 and 3.1.4 dated 2015-07-30

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New package lulcc with initial version 1.0.0
Package: lulcc
Title: Land Use Change Modelling in R
Version: 1.0.0
Author: Simon Moulds <simon.moulds10@imperial.ac.uk>
Maintainer: Simon Moulds <simon.moulds10@imperial.ac.uk>
Description: Classes and methods for spatially explicit land use change modelling in R.
Depends: methods, raster, R (>= 3.1.0)
License: GPL (>= 2)
LazyData: true
Imports: ROCR, lattice, rasterVis
Suggests: caret, rpart, randomForest, gsubfn, Hmisc, plyr, RColorBrewer,
Collate: 'class-CategoryLabel.R' 'class-PredictiveModelList.R' 'class-ObsLulcRasterStack.R' 'class-NeighbRasterStack.R' 'class-ExpVarRasterList.R' 'class-Model.R' 'class-ThreeMapComparison.R' 'AgreementBudget.R' 'ExpVarRasterList.R' 'FigureOfMerit.R' 'Model.R' 'NeighbRasterStack.R' 'ObsLulcRasterStack.R' 'class-PerformanceList.R' 'PerformanceList.R' 'class-PredictionList.R' 'PredictionList.R' 'ThreeMapComparison.R' 'allocate.R' 'allow.R' 'allowNeighb.R' 'approxExtrapDemand.R' 'as.data.frame.R' 'c.PredictiveModelList.R' 'index.R' 'coerce.R' 'compareAUC.R' 'crossTabulate.R' 'data.R' 'getPredictiveModelInputData.R' 'length.R' 'lulcc-package.R' 'models.R' 'names.R' 'partition.R' 'performance.rocr.R' 'plot.AgreementBudget.R' 'plot.FigureOfMerit.R' 'plot.Performance.R' 'plot.R' 'predict.R' 'resample.R' 'show.R' 'subset.R' 'summary.R' 'total.R'
Packaged: 2015-07-30 09:29:23 UTC; simon
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-30 13:13:50

More information about lulcc at CRAN
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Package cmsaf updated to version 1.5 with previous version 1.4 dated 2015-06-26

Title: Tools for CM SAF Netcdf Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable observing of the climate system by providing Essential Climate Variables related to the energy and water cycle of the atmosphere (www.cmsaf.eu). It is a joint cooperation of seven National Meteorological and Hydrological Services, including the Deutscher Wetterdienst (DWD). The cmsaf R-package provides a small collection of R-functions, which are inspired by the Climate Data Operators (cdo). This gives the opportunity to analyse and manipulate CM SAF data without the need of installing cdo. The cmsaf R-package is tested for CM SAF netcdf data, which are structured in three-dimensional arrays (longitude, latitude, time) on a rectangular grid. Layered CM SAF data have to be converted with the provided `levbox_mergetime` function. The cmsaf R-package functions have only minor checks for deviations from the recommended data structure, and give only few specific error messages. Thus, there is no warranty of accurate results. A Windows binary file and scripts for an easy application of the functions are provided at the CM SAF homepage (http://www.cmsaf.eu/EN/Products/Tools/Tools_node.html).
Author: Steffen Kothe <Steffen.Kothe@dwd.de>
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

Diff between cmsaf versions 1.4 dated 2015-06-26 and 1.5 dated 2015-07-30

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More information about cmsaf at CRAN
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Package randtoolbox updated to version 1.17 with previous version 1.16 dated 2014-12-05

Title: Toolbox for Pseudo and Quasi Random Number Generation and RNG Tests
Description: Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some RNG tests - the gap test, the serial test, the poker test. The package depends on rngWELL package but it can be provided without this dependency on demand to the maintainer. For true random number generation, use the 'random' package, for Latin Hypercube Sampling (a hybrid QMC method), use the 'lhs' package. A number of RNGs and tests for RNGs are also provided by 'RDieHarder', all available on CRAN. There is also a small stand-alone package 'rngwell19937' for the WELL19937a RNG.
Author: R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between randtoolbox versions 1.16 dated 2014-12-05 and 1.17 dated 2015-07-30

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Package CDVine updated to version 1.3 with previous version 1.2 dated 2014-03-27

Title: Statistical Inference of C- And D-Vine Copulas
Description: Functions for statistical inference of canonical vine (C-vine) and D-vine copulas. Tools for bivariate exploratory data analysis and for bivariate as well as vine copula selection are provided. Models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are also included. Data is assumed to lie in the unit hypercube (so-called copula data).
Author: Ulf Schepsmeier, Eike Christian Brechmann
Maintainer: Tobias Erhardt <tobias.erhardt@tum.de>

Diff between CDVine versions 1.2 dated 2014-03-27 and 1.3 dated 2015-07-30

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New package bnclassify with initial version 0.3.0
Package: bnclassify
Title: Learning Bayesian Network Classifiers from Data
Description: Implementation of different algorithms for learning discrete Bayesian network classifiers from data, including wrapper algorithms and those based on Chow-Liu's algorithm.
Version: 0.3.0
Authors@R: c(person("Mihaljevic","Bojan",email="bmihaljevic@fi.upm.es",role=c("aut","cre")), person("Bielza","Concha",email="mcbielza@fi.upm.es",role="aut"), person("Larranaga","Pedro",email="pedro.larranaga@fi.upm.es",role="aut"))
URL: http://github.com/bmihaljevic/bnclassify
BugReports: http://github.com/bmihaljevic/bnclassify/issues
Depends: R (>= 3.2.0)
Imports: assertthat (>= 0.1), entropy(>= 1.2.0), crossval(>= 1.0.2), graph(>= 1.42.0), matrixStats(>= 0.14.0), RBGL(>= 1.40.1), rpart(>= 4.1-8)
Suggests: gRain(>= 1.2-3), gRbase(>= 1.7-0.1), mlr(>= 2.2), testthat(>= 0.8.1), knitr(>= 1.10.5), microbenchmark(>= 1.4-2), ParamHelpers(>= 1.5), Rgraphviz(>= 2.8.1), rmarkdown(>= 0.7)
License: GPL (>= 2)
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut]
Maintainer: Mihaljevic Bojan <bmihaljevic@fi.upm.es>
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-07-30 08:14:36 UTC; Bojan
Repository: CRAN
Date/Publication: 2015-07-30 11:27:47

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Package YuGene updated to version 1.1.4 with previous version 1.1.2 dated 2014-07-13

Title: A Simple Approach to Scale Gene Expression Data Derived from Different Platforms for Integrated Analyses
Description: Simple method for comparison of gene expression generated across different experiments, and on different platforms; that does not require global renormalization, and is not restricted to comparison of identical probes. YuGene works on a range of microarray dataset distributions, such as between manufacturers. The resulting output allows direct comparisons of gene expression between experiments and experimental platforms.
Author: Kim-Anh Le Cao, Florian Rohart, Leo McHugh, Othmar Korn, Christine A. Wells
Maintainer: Florian Rohart <f.rohart@uq.edu.au>

Diff between YuGene versions 1.1.2 dated 2014-07-13 and 1.1.4 dated 2015-07-30

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More information about YuGene at CRAN
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Package mixOmics updated to version 5.1.1 with previous version 5.0-4 dated 2015-04-28

Title: Omics Data Integration Project
Description: We provide statistical integrative techniques and variants to analyse highly dimensional data sets: regularized Canonical Correlation Analysis ('rCCA') and sparse Partial Least Squares variants ('sPLS') to unravel relationships between two heterogeneous data sets of size (n times p) and (n times q) where the p and q variables are measured on the same samples or individuals n. These data may come from high throughput technologies, such as 'omics' data (e.g. transcriptomics, metabolomics or proteomics data) that require an integrative or joint analysis. However, 'mixOmics' can also be applied to any other large data sets where p + q >> n. 'rCCA' is a regularized version of Canonical Correlation Analysis to deal with the large number of variables. 'sPLS' allows variable selection in a one step procedure and two frameworks are proposed: regression and canonical analysis. Numerous graphical outputs are provided to help interpreting the results. Recent methodological developments include: sparse PLS-Discriminant Analysis ('sPLS-DA'), Independent Principal Component Analysis ('IPCA'), multilevel analysis using variance decomposition of the data and integration of multiple data sets with regularized Generalised Canonical Correlation Analysis ('rGCCA') and variants (sparse 'GCCA'). More details can be found on our website.
Author: Kim-Anh Le Cao, Ignacio Gonzalez, Sebastien Dejean with key contributors Florian Rohart, Benoit Gautier and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <k.lecao@uq.edu.au>

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New package bnstruct with initial version 1.0
Package: bnstruct
Description: Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Hill-climbing heuristic search, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Type: Package
Title: Bayesian Network Structure Learning from Data with Missing Values
Version: 1.0
Date: 2012-02-13
Depends: R (>= 2.10), bitops, Matrix, methods
Imports: igraph
Suggests: graph, Rgraphviz, knitr, testthat
Authors@R: c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@dei.unipd.it"), person("Alberto", "Franzin", role=c("aut"), email="afranzin@ulb.ac.be"))
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
Packaged: 2015-07-30 07:21:22 UTC; sambofra
Author: Francesco Sambo [aut, cre], Alberto Franzin [aut]
Maintainer: Francesco Sambo <francesco.sambo@dei.unipd.it>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-30 09:59:26

More information about bnstruct at CRAN
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Package wq updated to version 0.4.4 with previous version 0.4.3 dated 2015-04-03

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the plankton. Intended for programs that sample approximately monthly at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan D. Jassby and James E. Cloern
Maintainer: Alan Jassby <wq@fastmail.net>

Diff between wq versions 0.4.3 dated 2015-04-03 and 0.4.4 dated 2015-07-30

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Package robustreg updated to version 0.1-8 with previous version 0.1-7 dated 2014-10-28

Title: Robust Regression Functions
Description: Linear regression functions using Huber and bisquare psi functions. Optimal weights are calculated using IRLS algorithm.
Author: Ian M. Johnson <ian@alpha-analysis.com>
Maintainer: Ian M. Johnson <ian@alpha-analysis.com>

Diff between robustreg versions 0.1-7 dated 2014-10-28 and 0.1-8 dated 2015-07-30

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Package RJafroc updated to version 0.1.0 with previous version 0.0.1 dated 2015-04-24

Title: Analysis of Data Acquired Using the Receiver Operating Characteristic Paradigm and Its Extensions
Description: A common task in medical imaging is assessing whether a new imaging system or device is an improvement over an existing one. Observer performance methodology, such as receiver operating characteristic analysis, is widely used for this purpose. Receiver operating characteristic studies are often required for regulatory approval of new devices. The purpose of this work is to software for the analysis of data acquired using the receiver operating characteristic paradigm and its location specific extensions. It is an enhanced implementation of existing Windows software (http://www.devchakraborty.com). In this paradigm the radiologist rates each image for confidence in presence of disease. The images are typically split equally between actually non-diseased and diseased. A common figure of merit is the area under the receiver operating characteristic curve, which has the physical interpretation as the probability that a diseased image is rated higher than a non-diseased one. In receiver operating characteristic studies a number of radiologists (readers) rate images in two or more treatments, and the object of the analysis is to determine the significance of the inter-treatment difference between reader-averaged figures of merit. In the free-response paradigm the reader marks the locations of suspicious regions and rates each region for confidence in presence of disease, and credit for detection is only given if a true lesion is correctly localized. In the region of interest paradigm each image is divided into a number of regions and the reader rates each region. Each paradigm requires definition of a valid figure of merit that rewards correct decisions and penalizes incorrect ones and specialized significance testing procedures are applied. The package reads data in all currently used data formats including Excel. Significance testing uses two models in widespread use, a jackknife pseudo-value based model and an analysis of variance model with correlated errors. Included are tools for (1) calculating a variety of free-response figures of merit; (2) sample size estimation for planning a future study based on pilot data; (3) viewing empirical operating characteristics in receiver operating characteristic and free-response paradigms; (4) producing formatted report files; and (5) saving a data file in appropriate format for analysis with alternate software.
Author: Xuetong Zhai [aut, cre], Dev Chakraborty [aut, ths]
Maintainer: Xuetong Zhai <xuetong.zhai@gmail.com>

Diff between RJafroc versions 0.0.1 dated 2015-04-24 and 0.1.0 dated 2015-07-30

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Package RESS updated to version 1.2 with previous version 1.1 dated 2015-06-09

Title: Integrates R and Essentia
Description: Contains two functions that query AuriQ Systems' Essentia Database and return the results in R. 'essQuery' takes a single Essentia command and captures the output in R, where you can save the output to a dataframe or stream it directly into additional analysis. 'read.udb' takes a file containing any number of Essentia commands and captures the output of the specified statements into R dataframes. Essentia can be downloaded for free at http://www.auriq.com/documentation/source/install/index.html.
Author: Ben Waxer
Maintainer: Ben Waxer <bwaxer@auriq.com>

Diff between RESS versions 1.1 dated 2015-06-09 and 1.2 dated 2015-07-30

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Package ivmodel updated to version 1.1 with previous version 1.0 dated 2015-05-03

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, and Dylan Small
Maintainer: Hyunseung Kang <hskang@stanford.edu>

Diff between ivmodel versions 1.0 dated 2015-05-03 and 1.1 dated 2015-07-30

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Package Cairo updated to version 1.5-8 with previous version 1.5-7 dated 2015-07-28

Title: R graphics device using cairo graphics library for creating high-quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11 and Win32) output
Description: Cairo graphics device that can be use to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported.
Author: Simon Urbanek <Simon.Urbanek@r-project.org>, Jeffrey Horner <jeff.horner@vanderbilt.edu>
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Cairo versions 1.5-7 dated 2015-07-28 and 1.5-8 dated 2015-07-30

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 5 files changed, 15 insertions(+), 10 deletions(-)

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Package bayesDccGarch updated to version 1.2 with previous version 1.1 dated 2015-06-03

Title: The Bayesian Dynamic Conditional Correlation GARCH Model
Description: Bayesian estimation of dynamic conditional correlation GARCH model for multivariate time series volatility (Fioruci, J.A., Ehlers, R.S. and Andrade-Filho, M.G., (2014), DOI:10.1080/02664763.2013.839635).
Author: Jose A Fioruci <jafioruci@gmail.com>, Ricardo S Ehlers <ehlers@icmc.usp.br>, Francisco Louzada <louzada@icmc.usp.br>
Maintainer: Jose A Fioruci <jafioruci@gmail.com>

Diff between bayesDccGarch versions 1.1 dated 2015-06-03 and 1.2 dated 2015-07-30

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