Sun, 16 Aug 2015

Package mixedMem updated to version 1.1.0 with previous version 1.0.2 dated 2015-04-30

Title: Tools for Discrete Multivariate Mixed Membership Models
Description: Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva et al (2004). This package uses a Variational EM approach by approximating the posterior distribution of latent memberships and selecting hyperparameters through a pseudo-MLE procedure. Currently supported data types are Bernoulli, multinomial and rank (Plackett-Luce). The extended GoM model with fixed stayers from Erosheva et al (2007) is now also supported. See Airoldi et al (2014) for other examples of mixed membership models.
Author: Y. Samuel Wang [aut, cre], Elena A. Erosheva [aut]
Maintainer: Y. Samuel Wang <ysamwang@uw.edu>

Diff between mixedMem versions 1.0.2 dated 2015-04-30 and 1.1.0 dated 2015-08-16

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Package hypergeo updated to version 1.2-11 with previous version 1.2-9 dated 2014-11-06

Title: The Gauss Hypergeometric Function
Description: The Gaussian hypergeometric function for complex numbers.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between hypergeo versions 1.2-9 dated 2014-11-06 and 1.2-11 dated 2015-08-16

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Package rrules (with last version 0.1-0) was removed from CRAN

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

2010-05-22 0.1-0

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Package mp updated to version 0.3 with previous version 0.2.0 dated 2014-11-14

Title: Multidimensional Projection Techniques
Description: Multidimensional projection techniques are used to create two-dimensional representations of multidimensional data sets.
Author: Francisco M. Fatore, Samuel G. Fadel
Maintainer: Francisco M. Fatore <fmfatore@gmail.com>

Diff between mp versions 0.2.0 dated 2014-11-14 and 0.3 dated 2015-08-16

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Package ipdw updated to version 0.2-3 with previous version 0.2-2 dated 2015-03-11

Title: Spatial Interpolation by Inverse Path Distance Weighting
Description: Functions are provided to interpolate georeferenced point data via Inverse Path Distance Weighting. Useful for coastal marine applications where barriers in the landscape preclude interpolation with Euclidean distances.
Author: Joseph Stachelek <jstachel@sfwmd.gov>
Maintainer: Joseph Stachelek <jstachel@sfwmd.gov>

Diff between ipdw versions 0.2-2 dated 2015-03-11 and 0.2-3 dated 2015-08-16

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New package GeneralOaxaca with initial version 1.0
Package: GeneralOaxaca
Type: Package
Title: Blinder-Oaxaca Decomposition for Generalized Linear Model
Version: 1.0
Date: 2015-08-12
Author: Aurelien Nicosia and Simon Baillargeon-Ladouceur
Maintainer: Aurelien Nicosia <nicosia.aurelien@gmail.com>
Description: Perform the Blinder-Oaxaca decomposition for generalized linear model with bootstrapped standard errors. The twofold and threefold decomposition are given, even the generalized linear model output in each group.
License: GPL (>= 2)
Imports: boot, stats
Suggests: MASS
Collate: 'statBO.R' 'GeneralOaxaca.R'
NeedsCompilation: no
Packaged: 2015-08-16 22:11:14 UTC; aureliennicosia
Repository: CRAN
Date/Publication: 2015-08-17 00:33:44

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Package regexr updated to version 1.1.0 with previous version 1.0.2 dated 2015-01-11

Title: Readable Regular Expressions
Description: An R framework for constructing and managing human readable regular expressions. It aims to provide tools that enable the user to write regular expressions in a way that is similar to the ways R code is written. The tools allow the user to (1) write in smaller, modular, named, sub-expressions, (2) write top to bottom, rather than a single string (3) comment individual chunks, (4) indent expressions to clearly present regular expression groups, (5) add vertical line spaces and R comments (i.e., #), and (6) test the validity of the concatenated expression and the modular sub-expressions.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package quantreg updated to version 5.18 with previous version 5.11 dated 2015-01-11

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package qdapRegex updated to version 0.5.0 with previous version 0.4.0 dated 2015-07-18

Title: Regular Expression Removal, Extraction, and Replacement Tools
Description: A collection of regular expression tools associated with the 'qdap' package that may be useful outside of the context of discourse analysis. Tools include removal/extraction/replacement of abbreviations, dates, dollar amounts, email addresses, hash tags, numbers, percentages, citations, person tags, phone numbers, times, and zip codes.
Author: Jason Gray [ctb], Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between qdapRegex versions 0.4.0 dated 2015-07-18 and 0.5.0 dated 2015-08-16

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New package mlsjunkgen with initial version 0.1.0
Package: mlsjunkgen
Title: Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
Version: 0.1.0
Authors@R: person("Steve", "Myles", email = "steve@mylesandmyles.info", role = c("aut", "cre"))
Description: Generate a stream of pseudo-random numbers generated using the MLS Junk Generator algorithm. Functions exist to generate single pseudo-random numbers as well as a vector, data frame, or matrix of pseudo-random numbers.
URL: http://steve.mylesandmyles.info/projects/mls-junk-generator/, https://github.com/scumdogsteev/mlsjunkgen
BugReports: https://github.com/scumdogsteev/mlsjunkgen/issues
Depends: R (>= 3.2.1)
License: MIT + file LICENSE
LazyData: true
Suggests: knitr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-08-16 17:52:09 UTC; John Henry
Author: Steve Myles [aut, cre]
Maintainer: Steve Myles <steve@mylesandmyles.info>
Repository: CRAN
Date/Publication: 2015-08-16 23:05:54

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Package A3 updated to version 1.0.0 with previous version 0.9.2 dated 2013-07-15

Title: Accurate, Adaptable, and Accessible Error Metrics for Predictive Models
Description: Supplies tools for tabulating and analyzing the results of predictive models. The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.
Author: Scott Fortmann-Roe
Maintainer: Scott Fortmann-Roe <scottfr@berkeley.edu>

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Package rugarch updated to version 1.3-6 with previous version 1.3-4 dated 2014-11-08

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Ghalanos <alexios@4dscape.com>
Maintainer: Alexios Ghalanos <alexios@4dscape.com>

Diff between rugarch versions 1.3-4 dated 2014-11-08 and 1.3-6 dated 2015-08-16

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Package party updated to version 1.0-23 with previous version 1.0-22 dated 2015-07-28

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Carolin Strobl [aut], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between party versions 1.0-22 dated 2015-07-28 and 1.0-23 dated 2015-08-16

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More information about party at CRAN
Permanent link

Package filehash updated to version 2.3 with previous version 2.2-2 dated 2014-02-10

Title: Simple Key-Value Database
Description: Implements a simple key-value style database where character string keys are associated with data values that are stored on the disk. A simple interface is provided for inserting, retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be treated much like environments and lists are already used in R. These utilities are provided to encourage interactive and exploratory analysis on large datasets. Three different file formats for representing the database are currently available and new formats can easily be incorporated by third parties for use in the 'filehash' framework.
Author: Roger D. Peng <rdpeng@jhu.edu>
Maintainer: Roger D. Peng <rdpeng@jhu.edu>

Diff between filehash versions 2.2-2 dated 2014-02-10 and 2.3 dated 2015-08-16

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More information about filehash at CRAN
Permanent link

Package coin updated to version 1.1-0 with previous version 1.0-24 dated 2014-09-17

Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Mark A. van de Wiel [aut], Henric Winell [aut], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between coin versions 1.0-24 dated 2014-09-17 and 1.1-0 dated 2015-08-16

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More information about coin at CRAN
Permanent link

Package animation updated to version 2.4 with previous version 2.3 dated 2014-07-25

Title: A Gallery of Animations in Statistics and Utilities to Create Animations
Description: Provides functions for animations in statistics, covering topics in probability theory, mathematical statistics, multivariate statistics, nonparametric statistics, sampling survey, linear models, time series, computational statistics, data mining and machine learning. These functions may be helpful in teaching statistics and data analysis. Also provided in this package are a series of functions to save animations to various formats, e.g. Flash, GIF, HTML pages, PDF and videos (saveSWF(), saveGIF(), saveHTML(), saveLatex(), and saveVideo() respectively). PDF animations can be inserted into Sweave/knitr easily.
Author: Yihui Xie [cre, aut], Christian Mueller [ctb], Lijia Yu [ctb], Weicheng Zhu [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between animation versions 2.3 dated 2014-07-25 and 2.4 dated 2015-08-16

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More information about animation at CRAN
Permanent link


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