Sun, 07 Aug 2016

New package blkbox with initial version 1.0
Package: blkbox
Type: Package
Title: Data Exploration with Multiple Machine Learning Algorithms
Version: 1.0
Date: 2016-08-05
Author: Zachary Davies, Boris Guennewig
Maintainer: Boris Guennewig <b.guennewig@garvan.org.au>
Description: Allows data to be processed by multiple machine learning algorithms at the same time, enables feature selection of data by single a algorithm or combinations of multiple. Easy to use tool for k-fold cross validation and nested cross validation.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.0.0), methods
Imports: dplyr, plyr, tidyr, magrittr, caret, ggplot2, glmnet, bartMachine, reshape2, randomForest, kknn, pamr, nnet, party, rJava, e1071, pROC, stringr, xgboost, parallel, knitr, rmarkdown, shiny, shinyjs, reshape, gtools, tibble
Suggests: bigrf
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-07 23:44:48 UTC; boris
VignetteBuilder: knitr
Additional_repositories: http://zacdav.github.io/drat/
Repository: CRAN
Date/Publication: 2016-08-08 02:37:07

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Package stream updated to version 1.2-3 with previous version 1.2-2 dated 2015-10-28

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.2-2 dated 2015-10-28 and 1.2-3 dated 2016-08-07

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New package Rtauchen with initial version 1.0
Package: Rtauchen
Type: Package
Title: Discretization of AR(1) Processes
Version: 1.0
Date: 2016-08-01
Author: David Zarruk Valencia & Rodrigo Azuero Melo
URL: https://github.com/davidzarruk/Rtauchen
Maintainer: David Zarruk Valencia <davidzarruk@gmail.com>
Description: Discretize AR(1) process following Tauchen (1986) <http://www.sciencedirect.com/science/article/pii/0165176586901680>. A discrete Markov chain that approximates in the sense of weak convergence a continuous-valued univariate Autoregressive process of first order is generated. It is a popular method used in economics and in finance.
License: GPL (>= 2)
Imports: stats
Packaged: 2016-08-07 19:50:26 UTC; rodrigoazuero
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-08-07 22:02:19

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Package Fgmutils updated to version 0.8 with previous version 0.7 dated 2016-08-01

Title: Forest Growth Model Utilities
Description: Growth models and forest production require existing data manipulation and the creation of new data, structured from basic forest inventory data. The purpose of this package is provide functions to support these activities.
Author: Clayton Vieira Fraga Filho, Ana Paula Simiqueli, Gilson Fernandes da Silva, Miqueias Fernandes, Wagner Amorim da Silva Altoe
Maintainer: Clayton Vieira Fraga Filho <forestgrowthsoftware@gmail.com>

Diff between Fgmutils versions 0.7 dated 2016-08-01 and 0.8 dated 2016-08-07

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New package googleCloudStorageR with initial version 0.1.0
Package: googleCloudStorageR
Type: Package
Version: 0.1.0
Title: R Interface with Google Cloud Storage
Description: Interact with Google Cloud Storage API in R. Part of the 'cloudyr' project.
Authors@R: c(person("Mark", "Edmondson",email = "r@sunholo.com", role = c("aut", "cre")))
URL: http://code.markedmondson.me/googleCloudStorageR/
BugReports: https://github.com/cloudyr/googleCloudStorageR/issues
Depends: R (>= 3.2.0)
Imports: googleAuthR (>= 0.3.1), testthat(>= 1.0.2), httr (>= 1.2.1), jsonlite (>= 1.0)
Suggests: knitr, covr, rmarkdown
License: MIT + file LICENSE
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-07 18:21:21 UTC; mark
Author: Mark Edmondson [aut, cre]
Maintainer: Mark Edmondson <r@sunholo.com>
Repository: CRAN
Date/Publication: 2016-08-07 21:13:55

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New package ggghost with initial version 0.1.0
Package: ggghost
Title: Capture the Spirit of Your 'ggplot2' Calls
Version: 0.1.0
Authors@R: person("Jonathan", "Carroll", email = "rpkg@jcarroll.com.au", role = c("aut", "cre"))
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>
Description: Creates a reproducible 'ggplot2' object by storing the data and calls.
Depends: R (>= 3.2.0), ggplot2, animation
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/jonocarroll/ggghost/issues
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-08-07 14:25:04 UTC; jono
Author: Jonathan Carroll [aut, cre]
Repository: CRAN
Date/Publication: 2016-08-07 17:50:52

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Package drat updated to version 0.1.1 with previous version 0.1.0 dated 2015-08-08

Title: Drat R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel with contributions by Carl Boettiger, Sebastian Gibb, Colin Gillespie, Jan Górecki, Matt Jones, Thomas Leeper, Steven Pav and Jan Schulz.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package biomartr updated to version 0.1.0 with previous version 0.0.3 dated 2016-03-02

Title: Functional Annotation and Biological Data Retrieval with R
Description: Perform biological data retrieval and functional annotation with R. This tool provides API functions to the BioMart database and genome retrieval functions for bulk retrieval of genomes.
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

Diff between biomartr versions 0.0.3 dated 2016-03-02 and 0.1.0 dated 2016-08-07

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Package VARSEDIG updated to version 1.2 with previous version 1.1 dated 2016-01-08

Title: An Algorithm for Morphometric Characters Selection and Statistical Validation in Morphological Taxonomy
Description: An algorithm which identifies the morphometric features that significantly discriminate two taxa and validates the morphological distinctness between them via a Monte-Carlo test, polar coordinates and overlap of the area under the density curve.
Author: Cástor Guisande González
Maintainer: Cástor Guisande González <castor@uvigo.es>

Diff between VARSEDIG versions 1.1 dated 2016-01-08 and 1.2 dated 2016-08-07

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Package spbabel updated to version 0.4.0 with previous version 0.3.2 dated 2016-06-22

Title: Convert Spatial Data Using Tidy Tables
Description: Tools to convert from specific formats to more general forms of spatial data. Using tables to store the actual entities present in spatial data provides far greater flexibility, and the functions here deliberately minimize the level of interpretation applied, leaving that for specific applications. Includes round-trip for 'Spatial' classes and long-form tables, analogous to 'ggplot2::fortify'.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between spbabel versions 0.3.2 dated 2016-06-22 and 0.4.0 dated 2016-08-07

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Package seriation updated to version 1.2-1 with previous version 1.2-0 dated 2016-02-22

Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for seriation with an implementation of several seriation/sequencing techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package GERGM updated to version 0.10.0 with previous version 0.7.4 dated 2016-01-18

Title: Estimation and Fit Diagnostics for Generalized Exponential Random Graph Models
Description: Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models via Gibbs sampling or Metropolis Hastings with exponential down weighting.
Author: Matthew J. Denny <mdenny@psu.edu>, James D. Wilson <jdwilson1212@gmail.com>, Skyler Cranmer <cranmer.12@osu.edu >, Bruce A. Desmarais <bdesmarais@psu.edu>, Shankar Bhamidi <bhamidi@email.unc.edu>
Maintainer: Matthew J. Denny <mdenny@psu.edu>

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Package geigen updated to version 1.9.1 with previous version 1.9 dated 2016-01-07

Title: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description: Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.
Author: Berend Hasselman [cre, aut], Lapack authors [aut, cph]
Maintainer: Berend Hasselman <bhh@xs4all.nl>

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New package Fuzzy.p.value with initial version 1.0
Package: Fuzzy.p.value
Type: Package
Title: Computing Fuzzy p-Value
Version: 1.0
Date: 2016-08-05
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami@uk.ac.ir>
Description: The main goal of this package is drawing the membership function of the fuzzy p-value which is defined as a fuzzy set on the unit interval for three following problems: (1) testing crisp hypotheses based on fuzzy data, (2) testing fuzzy hypotheses based on crisp data, and (3) testing fuzzy hypotheses based on fuzzy data. In all cases, the fuzziness of data or/and the fuzziness of the boundary of null fuzzy hypothesis transported via the p-value function and causes to produce the fuzzy p-value. If the p-value is fuzzy, it is more appropriate to consider a fuzzy significance level for the problem. Therefore, the comparison of the fuzzy p-value and the fuzzy significance level is evaluated by a fuzzy ranking method in this package.
License: LGPL (>= 3)
Imports: MASS, FuzzyNumbers
NeedsCompilation: no
Packaged: 2016-08-07 03:32:19 UTC; Admin
Repository: CRAN
Date/Publication: 2016-08-07 16:06:36

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Package vaersvax updated to version 1.0.3 with previous version 1.0.2 dated 2016-08-06

Title: US Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present
Description: US VAERS vaccine data for 01/01/2016 - 06/14/2016. If you want to explore the full VAERS data for 1990 - Present (data, symptoms, and vaccines), then check out the 'vaers' package from the URL below. The URL and BugReports below correspond to the 'vaers' package, of which 'vaersvax' is a small subset (2016 only). 'vaers' is not hosted on CRAN due to the large size of the data set. "VAERS is a national vaccine safety surveillance program co-sponsored by the US Centers for Disease Control and Prevention (CDC) and the US Food and Drug Administration (FDA). VAERS is a post-marketing safety surveillance program, collecting information about adverse events (possible side effects) that occur after the administration of vaccines licensed for use in the United States." For more information about the data, visit <https://vaers.hhs.gov/index>. For information about vaccination/immunization hazards, visit <http://www.questionuniverse.com/rethink.html/#vaccine>.
Author: Irucka Embry [aut, cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package vaersNDvax updated to version 1.0.3 with previous version 1.0.2 dated 2016-08-06

Title: Non-Domestic Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present
Description: Non-Domestic VAERS vaccine data for 01/01/2016 - 06/14/2016. If you want to explore the full VAERS data for 1990 - Present (data, symptoms, and vaccines), then check out the 'vaersND' package from the URL below. The URL and BugReports below correspond to the 'vaersND' package, of which 'vaersNDvax' is a small subset (2016 only). 'vaersND' is not hosted on CRAN due to the large size of the data set. "VAERS is a national vaccine safety surveillance program co-sponsored by the US Centers for Disease Control and Prevention (CDC) and the US Food and Drug Administration (FDA). VAERS is a post-marketing safety surveillance program, collecting information about adverse events (possible side effects) that occur after the administration of vaccines licensed for use in the United States." For more information about the data, visit <https://vaers.hhs.gov/index>. For information about vaccination/immunization hazards, visit <http://www.questionuniverse.com/rethink.html/#vaccine>.
Author: Irucka Embry [aut, cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package rtweet updated to version 0.1.4 with previous version 0.1.0 dated 2016-08-01

Title: Collecting Twitter Data
Description: An implementation of calls designed to extract and organize Twitter data via Twitter's REST and stream APIs. Functions formulate GET and POST requests and convert response objects to more user friendly structures, e.g., data frames or lists. Specific consideration is given to functions designed to return tweets, friends, and followers.
Author: Michael W. Kearney
Maintainer: Michael W. Kearney <mkearney@ku.edu>

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Package laGP updated to version 1.3 with previous version 1.2-1 dated 2015-09-18

Title: Local Approximate Gaussian Process Regression
Description: Performs approximate GP regression for large computer experiments and spatial datasets. The approximation is based on finding small local designs for prediction (independently) at particular inputs. OpenMP and SNOW parallelization are supported for prediction over a vast out-of-sample testing set; GPU acceleration is also supported for an important subroutine. OpenMP and GPU features may require special compilation. An interface to lower-level (full) GP inference and prediction is also provided, as are associated wrapper routines for blackbox optimization under mixed equality and inequality constraints via an augmented Lagrangian scheme, and for large scale computer model calibration.
Author: Robert B. Gramacy <rbg@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package littler updated to version 0.3.1 with previous version 0.3.0 dated 2015-10-29

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel and Jeff Horner
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between littler versions 0.3.0 dated 2015-10-29 and 0.3.1 dated 2016-08-07

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