Fri, 27 Nov 2015

Package scatterD3 updated to version 0.5 with previous version 0.4 dated 2015-11-23

Title: D3 JavaScript Scatterplot from R
Description: Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

Diff between scatterD3 versions 0.4 dated 2015-11-23 and 0.5 dated 2015-11-27

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Package pracma updated to version 1.8.8 with previous version 1.8.6 dated 2015-07-14

Title: Practical Numerical Math Functions
Description: Functions from numerical analysis and linear algebra, numerical optimization, differential equations, plus some special functions. Uses Matlab function names where appropriate to simplify porting.
Author: Hans Werner Borchers
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

Diff between pracma versions 1.8.6 dated 2015-07-14 and 1.8.8 dated 2015-11-27

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New package pch with initial version 1.0
Package: pch
Type: Package
Title: Piecewise Constant Hazards Models for Censored and Truncated Data
Version: 1.0
Date: 2015-11-26
Author: Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@ki.se>
Description: Using piecewise constant hazards models is a very flexible approach for the analysis of survival data. The time line is divided into sub-intervals; for each interval, a different hazard is estimated using Poisson regression.
Depends: survival
Imports: stats
License: GPL-2
RoxygenNote: 5.0.0
Packaged: 2015-11-27 11:21:27 UTC; paofru
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-27 14:59:46

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Package DVHmetrics updated to version 0.3.4 with previous version 0.3.3 dated 2015-10-13

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

Diff between DVHmetrics versions 0.3.3 dated 2015-10-13 and 0.3.4 dated 2015-11-27

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Package bnlearn updated to version 3.9 with previous version 3.8.1 dated 2015-05-17

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available from www.bnlearn.com.
Author: Marco Scutari
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between bnlearn versions 3.8.1 dated 2015-05-17 and 3.9 dated 2015-11-27

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Package archivist updated to version 1.8 with previous version 1.7 dated 2015-09-25

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 1.7 dated 2015-09-25 and 1.8 dated 2015-11-27

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Package quanteda updated to version 0.9.0-1 with previous version 0.8.6-0 dated 2015-10-15

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre], Paul Nulty [aut], Pablo Barberá [ctb], Kohei Watanabe [ctb], Benjamin Lauderdale [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 0.8.6-0 dated 2015-10-15 and 0.9.0-1 dated 2015-11-27

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Package protr updated to version 1.0-1 with previous version 0.5-1 dated 2014-12-23

Title: Generating Various Numerical Representation Schemes of Protein Sequence
Description: Comprehensive toolkit for generating various numerical representation schemes of protein sequence. The descriptors and similarity scores included are extensively used in bioinformatics and chemogenomics. For full functionality, the software 'ncbi-blast+' is needed, see <http://blast.ncbi.nlm.nih.gov/Blast.cgi?CMD=Web&PAGE_TYPE=BlastDocs&DOC_TYPE=Download> for more information.
Author: Nan Xiao <road2stat@gmail.com>, Qingsong Xu <dasongxu@gmail.com>, Dongsheng Cao <oriental-cds@163.com>
Maintainer: Nan Xiao <road2stat@gmail.com>

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Package blockcluster updated to version 4.0.2 with previous version 3.0.2 dated 2015-01-23

Title: Coclustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Description: Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The blockcluster package provides a bridge between the C++ core library and the R statistical computing environment. This package allows to co-cluster binary, contingency, continuous and categorical data-sets. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining,Information retrieval, Biology, computer vision and many more. More information about the project and comprehensive tutorial can be found on the link mentioned in URL.
Author: Serge Iovleff [aut, cre], Parmeet Singh Bhatia [aut], Vincent Kubicki [ctb], Gerard Goavert [ctb], Vincent Brault [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>

Diff between blockcluster versions 3.0.2 dated 2015-01-23 and 4.0.2 dated 2015-11-27

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More information about blockcluster at CRAN
Permanent link

Package stochvol updated to version 1.2.1 with previous version 1.2.0 dated 2015-07-15

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods.
Author: Gregor Kastner [aut, cre]
Maintainer: Gregor Kastner <gregor.kastner@wu.ac.at>

Diff between stochvol versions 1.2.0 dated 2015-07-15 and 1.2.1 dated 2015-11-27

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More information about stochvol at CRAN
Permanent link

Package rstan updated to version 2.8.2 with previous version 2.8.1 dated 2015-11-19

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

Diff between rstan versions 2.8.1 dated 2015-11-19 and 2.8.2 dated 2015-11-27

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More information about rstan at CRAN
Permanent link

Package pinnacle.API updated to version 1.90 with previous version 1.89 dated 2015-09-18

Title: A Wrapper for the Pinnacle Sports API
Description: An R interface to the Pinnaclesports.com API.
Author: Marco Blume, Nicholas Jhirad, Amine Gassem
Maintainer: Marco Blume <marco.blume@pinnaclesports.com>

Diff between pinnacle.API versions 1.89 dated 2015-09-18 and 1.90 dated 2015-11-27

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Package Peptides updated to version 1.1.1 with previous version 1.1.0 dated 2015-06-03

Title: Calculate Indices and Theoretical Properties of Protein Sequences
Description: Calculate physicochemical properties and indices from amino-acid sequences of peptides and proteins. Include also the option to read and plot output files from the 'GROMACS' molecular dynamics package.
Author: Daniel Osorio, Paola Rondon-Villarreal and Rodrigo Torres.
Maintainer: Daniel Osorio <daniel.osorio@correo.uis.edu.co>

Diff between Peptides versions 1.1.0 dated 2015-06-03 and 1.1.1 dated 2015-11-27

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Package mapmisc updated to version 1.4.6 with previous version 1.4.0 dated 2015-08-26

Title: Utilities for Producing Maps
Description: A minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections.
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between mapmisc versions 1.4.0 dated 2015-08-26 and 1.4.6 dated 2015-11-27

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Package enpls updated to version 1.1 with previous version 1.0 dated 2014-10-03

Title: Ensemble Partial Least Squares Regression
Description: Ensemble partial least squares regression, a unified framework for feature selection, outlier detection, and ensemble learning.
Author: Nan Xiao <road2stat@gmail.com>, Dong-Sheng Cao <oriental-cds@163.com>, Qing-Song Xu <dasongxu@gmail.com>
Maintainer: Nan Xiao <road2stat@gmail.com>

Diff between enpls versions 1.0 dated 2014-10-03 and 1.1 dated 2015-11-27

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Package ECOSolveR updated to version 0.2 with previous version 0.1-1 dated 2015-11-25

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

Diff between ECOSolveR versions 0.1-1 dated 2015-11-25 and 0.2 dated 2015-11-27

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Package Biocomb updated to version 0.2 with previous version 0.1 dated 2015-10-28

Title: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis
Description: Contains functions for the data analysis with the emphasis on biological data, including several algorithms for feature ranking, feature selection, classification algorithms with the embedded validation procedures. The functions can deal with numerical as well as with nominal features. Includes also the functions for calculation of feature AUC (Area Under the ROC Curve) and HUM (hypervolume under manifold) values and construction 2D- and 3D- ROC curves. Biocomb provides the calculation of Area Above the RCC (AAC) values and construction of Relative Cost Curves (RCC) to estimate the classifier performance under unequal misclassification costs problem. Biocomb has the special function to deal with missing values, including different imputing schemes.
Author: Natalia Novoselova,Junxi Wang,Frank Pessler,Frank Klawonn
Maintainer: Natalia Novoselova <novos65@mail.ru>

Diff between Biocomb versions 0.1 dated 2015-10-28 and 0.2 dated 2015-11-27

 DESCRIPTION                   |   16 -
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 NAMESPACE                     |    2 
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 29 files changed, 252 insertions(+), 399 deletions(-)

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