Mon, 26 Jun 2017

Package RGraphM updated to version 0.1.6 with previous version 0.1.5 dated 2017-06-12

Title: Graph Matching Library for R
Description: This is a wrapper package for the graph matching library 'graphm'. The original 'graphm' C/C++ library can be found in <http://cbio.mines-paristech.fr/graphm/> . Latest version ( 0.52 ) of this library is slightly modified to fit 'Rcpp' usage and included in the source package. The development version of the package is also available at <https://github.com/adalisan/RGraphM> .
Author: Sancar Adali
Maintainer: Sancar Adali <sancar.adali@gmail.com>

Diff between RGraphM versions 0.1.5 dated 2017-06-12 and 0.1.6 dated 2017-06-26

 DESCRIPTION                   |    6 +--
 MD5                           |   34 ++++++++++-----------
 NAMESPACE                     |    8 +----
 R/RcppExports.R               |    2 -
 cleanup                       |    1 
 configure                     |   13 +++++++-
 src/Makevars.in               |   66 ++++++++----------------------------------
 src/graphm/Makefile.in        |   41 ++++++++++++++------------
 src/graphm/algorithm.h        |   11 ++++++-
 src/graphm/algorithm_ca.cpp   |    8 ++---
 src/graphm/algorithm_path.cpp |   14 ++++----
 src/graphm/algorithm_qcv.cpp  |    6 +--
 src/graphm/experiment.cpp     |    3 -
 src/graphm/graph.cpp          |   15 ++++++---
 src/graphm/graph.h            |    2 -
 src/graphm/rpc.cpp            |    5 ++-
 src/graphm/rpc.h              |    2 +
 src/graphmatch_rcpp.cpp       |   24 +++++----------
 18 files changed, 123 insertions(+), 138 deletions(-)

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New package CRANsearcher with initial version 1.0.0
Package: CRANsearcher
Title: RStudio Addin for Searching Packages in CRAN Database Based on Keywords
Version: 1.0.0
Authors@R: c( person("Becca", "Krouse", email = "rebecca_krouse@rhoworld.com", role = c("aut")), person("Agustin", "Calatroni", email = "agustin_calatroni@rhoworld.com", role = c("cre","aut")) )
Description: One of the strengths of R is its vast package ecosystem. Indeed, R packages extend from visualization to Bayesian inference and from spatial analyses to pharmacokinetics (<https://cran.r-project.org/web/views/>). There is probably not an area of quantitative research that isn't represented by at least one R package. At the time of this writing, there are more than 10,000 active CRAN packages. Because of this massive ecosystem, it is important to have tools to search and learn about packages related to your personal R needs. For this reason, we developed an RStudio addin capable of searching available CRAN packages directly within RStudio.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, curl, shiny, shinyjs, miniUI, stringr, DT, lubridate, utils
RoxygenNote: 6.0.1
URL: https://github.com/RhoInc/CRANsearcher
BugReports: https://github.com/RhoInc/CRANsearcher/issues
NeedsCompilation: no
Packaged: 2017-06-26 21:04:17 UTC; rzabel
Author: Becca Krouse [aut], Agustin Calatroni [cre, aut]
Maintainer: Agustin Calatroni <agustin_calatroni@rhoworld.com>
Repository: CRAN
Date/Publication: 2017-06-26 23:13:21 UTC

More information about CRANsearcher at CRAN
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Package plater updated to version 1.0.1 with previous version 1.0.0 dated 2016-10-06

Title: Read, Tidy, and Display Data from Microtiter Plates
Description: Tools for interacting with data from experiments done in microtiter plates. Easily read in plate-shaped data and convert it to tidy format, combine plate-shaped data with tidy data, and view tidy data in plate shape.
Author: Sean Hughes [aut, cre]
Maintainer: Sean Hughes <smhughes@uw.edu>

Diff between plater versions 1.0.0 dated 2016-10-06 and 1.0.1 dated 2017-06-26

 DESCRIPTION                                       |    8 ++++----
 MD5                                               |   21 ++++++++++++---------
 NEWS.md                                           |    5 +++++
 R/convert_plate_to_column.R                       |   13 ++++++++++---
 R/plate_utilities.R                               |   12 ++++++++++--
 R/read_plate.R                                    |    2 +-
 R/view_plate.R                                    |    3 +++
 build/vignette.rds                                |binary
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 tests/testthat/test-view_plate.R                  |   15 ++++++++++++++-
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 tests/testthat/testData/numbers-and-text.csv      |only
 13 files changed, 75 insertions(+), 21 deletions(-)

More information about plater at CRAN
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Package miRNAss updated to version 1.1 with previous version 1.0 dated 2017-05-06

Title: Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
Description: Machine learning method specifically designed for pre-miRNA prediction. It takes advantage of unlabeled sequences to improve the prediction rates even when there are just a few positive examples, when the negative examples are unreliable or are not good representatives of its class. Furthermore, the method can automatically search for negative examples if the user is unable to provide them. MiRNAss can find a good boundary to divide the pre-miRNAs from other groups of sequences; it automatically optimizes the threshold that defines the classes boundaries, and thus, it is robust to high class imbalance. Each step of the method is scalable and can handle large volumes of data.
Author: Cristian Yones
Maintainer: Cristian Yones <cyones@sinc.unl.edu.ar>

Diff between miRNAss versions 1.0 dated 2017-05-06 and 1.1 dated 2017-06-26

 DESCRIPTION           |    6 +--
 MD5                   |   19 ++++++------
 R/miRNAss.R           |   76 +++++++++++++++++++++++++-------------------------
 README.md             |only
 inst/doc/miRNAss.Rnw  |   27 +++++++++++++----
 inst/doc/miRNAss.pdf  |binary
 man/miRNAss.Rd        |   34 +++++++++++-----------
 src/calcDistance.cpp  |    9 +++--
 src/calcThreshold.cpp |   22 +++++++++-----
 src/edgeListKnn.cpp   |    2 -
 vignettes/miRNAss.Rnw |   27 +++++++++++++----
 11 files changed, 131 insertions(+), 91 deletions(-)

More information about miRNAss at CRAN
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Package fiery updated to version 0.2.3 with previous version 0.2.2 dated 2017-01-07

Title: A Lightweight and Flexible Web Framework
Description: A very flexible framework for building server side logic in R. The framework is unopinionated when it comes to how HTTP requests and WebSocket messages are handled and supports all levels of app complexity; from serving static content to full-blown dynamic web-apps. Fiery does not hold your hand as much as e.g. the shiny package does, but instead sets you free to create your web app the way you want.
Author: Thomas Lin Pedersen [aut, cre]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between fiery versions 0.2.2 dated 2017-01-07 and 0.2.3 dated 2017-06-26

 DESCRIPTION                |   10 +++++-----
 MD5                        |   18 +++++++++---------
 NAMESPACE                  |    2 +-
 NEWS.md                    |    6 +++++-
 R/FutureStack.R            |   11 +++++++----
 README.md                  |    2 +-
 man/Fire.Rd                |    2 +-
 man/fake_request.Rd        |    1 -
 man/fiery-package.Rd       |    3 +++
 tests/testthat/test-Fire.R |    2 +-
 10 files changed, 33 insertions(+), 24 deletions(-)

More information about fiery at CRAN
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Package checkpoint updated to version 0.4.1 with previous version 0.4.0 dated 2017-04-12

Title: Install Packages from Snapshots on the Checkpoint Server for Reproducibility
Description: The goal of checkpoint is to solve the problem of package reproducibility in R. Specifically, checkpoint allows you to install packages as they existed on CRAN on a specific snapshot date as if you had a CRAN time machine. To achieve reproducibility, the checkpoint() function installs the packages required or called by your project and scripts to a local library exactly as they existed at the specified point in time. Only those packages are available to your project, thereby avoiding any package updates that came later and may have altered your results. In this way, anyone using checkpoint's checkpoint() can ensure the reproducibility of your scripts or projects at any time. To create the snapshot archives, once a day (at midnight UTC) Microsoft refreshes the Austria CRAN mirror on the "Microsoft R Archived Network" server (<https://mran.microsoft.com/>). Immediately after completion of the rsync mirror process, the process takes a snapshot, thus creating the archive. Snapshot archives exist starting from 2014-09-17.
Author: Microsoft Corporation
Maintainer: Andrie de Vries <adevries@microsoft.com>

Diff between checkpoint versions 0.4.0 dated 2017-04-12 and 0.4.1 dated 2017-06-26

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 checkpoint-0.4.1/checkpoint/build/vignette.rds                         |binary
 checkpoint-0.4.1/checkpoint/inst/doc/checkpoint.R                      |   29 +-
 checkpoint-0.4.1/checkpoint/inst/doc/checkpoint.Rmd                    |   45 ++-
 checkpoint-0.4.1/checkpoint/inst/doc/checkpoint.html                   |   54 +++-
 checkpoint-0.4.1/checkpoint/inst/doc/managing-checkpoint-archives.R    |   10 
 checkpoint-0.4.1/checkpoint/inst/doc/managing-checkpoint-archives.Rmd  |   42 ++-
 checkpoint-0.4.1/checkpoint/inst/doc/managing-checkpoint-archives.html |   94 ++++---
 checkpoint-0.4.1/checkpoint/inst/doc/using-checkpoint-with-knitr.R     |   35 ++
 checkpoint-0.4.1/checkpoint/inst/doc/using-checkpoint-with-knitr.Rmd   |   62 +++--
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 checkpoint-0.4.1/checkpoint/vignettes/checkpoint.Rmd                   |   45 ++-
 checkpoint-0.4.1/checkpoint/vignettes/managing-checkpoint-archives.Rmd |   42 ++-
 24 files changed, 443 insertions(+), 224 deletions(-)

More information about checkpoint at CRAN
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Package catSurv updated to version 1.0.2 with previous version 1.0.1 dated 2017-06-16

Title: Computerized Adaptive Testing for Survey Research
Description: Provides methods of computerized adaptive testing for survey researchers. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.
Author: Jacob Montgomery [aut], Erin Rossiter [aut, cre]
Maintainer: Erin Rossiter <erinrossiter@wustl.edu>

Diff between catSurv versions 1.0.1 dated 2017-06-16 and 1.0.2 dated 2017-06-26

 DESCRIPTION          |   15 -
 MD5                  |   53 +++---
 NAMESPACE            |    1 
 NEWS.md              |   13 +
 R/Cat-class.R        |    1 
 src/EAPEstimator.cpp |   27 +++
 src/EAPEstimator.h   |    2 
 src/EPVSelector.cpp  |   76 +++++++--
 src/Estimator.cpp    |  416 +++++++++++++++++++++++++++++++++++++++++++++++++--
 src/Estimator.h      |   33 +++-
 src/KLSelector.cpp   |   51 +++---
 src/LKLSelector.cpp  |   47 +++--
 src/MAPEstimator.cpp |   28 +++
 src/MAPEstimator.h   |    2 
 src/MEISelector.cpp  |   75 +++++++--
 src/MFIISelector.cpp |   42 +++--
 src/MFISelector.cpp  |   45 +++--
 src/MLEEstimator.cpp |   73 ++++++++
 src/MLEEstimator.h   |    3 
 src/MLWISelector.cpp |   46 +++--
 src/MPWISelector.cpp |   44 +++--
 src/Makevars         |    2 
 src/Makevars.win     |    6 
 src/PKLSelector.cpp  |   45 +++--
 src/ParallelUtil.h   |only
 src/Prior.cpp        |   15 -
 src/WLEEstimator.cpp |  169 ++++++++++++++++++++
 src/WLEEstimator.h   |    7 
 28 files changed, 1121 insertions(+), 216 deletions(-)

More information about catSurv at CRAN
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Package bigrquery updated to version 0.4.1 with previous version 0.4.0 dated 2017-06-23

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between bigrquery versions 0.4.0 dated 2017-06-23 and 0.4.1 dated 2017-06-26

 DESCRIPTION |    6 +++---
 MD5         |    6 +++---
 NEWS.md     |    4 ++++
 R/dplyr.r   |    9 +++++++--
 4 files changed, 17 insertions(+), 8 deletions(-)

More information about bigrquery at CRAN
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Package visNetwork updated to version 2.0.0 with previous version 1.0.3 dated 2016-12-22

Title: Network Visualization using 'vis.js' Library
Description: Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Author: Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home), Benoit Thieurmel [aut, cre] (R interface), Titouan Robert [aut, ctb]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between visNetwork versions 1.0.3 dated 2016-12-22 and 2.0.0 dated 2017-06-26

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 visNetwork-2.0.0/visNetwork/LICENSE                                                         |    2 
 visNetwork-2.0.0/visNetwork/MD5                                                             |  370 
 visNetwork-2.0.0/visNetwork/NAMESPACE                                                       |  141 
 visNetwork-2.0.0/visNetwork/NEWS                                                            |  285 
 visNetwork-2.0.0/visNetwork/R/dependencies.R                                                |  342 
 visNetwork-2.0.0/visNetwork/R/utils.R                                                       |   80 
 visNetwork-2.0.0/visNetwork/R/visClustering.R                                               |  443 
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 visNetwork-2.0.0/visNetwork/R/visExport.R                                                   |  154 
 visNetwork-2.0.0/visNetwork/R/visFit.R                                                      |   96 
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 visNetwork-2.0.0/visNetwork/R/visSave.R                                                     |   65 
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More information about visNetwork at CRAN
Permanent link

New package twfy with initial version 0.1.0
Package: twfy
Title: Drive the API for TheyWorkForYou
Version: 0.1.0
Authors@R: person("Will", "Lowe", email = "wlowe@princeton.edu", role = c("aut", "cre"))
Description: An R wrapper around the API of TheyWorkForYou, a parliamentary monitoring site that scrapes and repackages Hansard (the UK's parliamentary record) and augments it with information from the Register of Members' Interests, election results, and voting records to provide a unified source of information about UK legislators and their activities. See <http://www.theyworkforyou.com> for details.
URL: https://conjugateprior.github.io/twfy
BugReports: https://github.com/conjugateprior/twfy/issues
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-06-26 14:37:49 UTC; wlowe
Author: Will Lowe [aut, cre]
Maintainer: Will Lowe <wlowe@princeton.edu>
Repository: CRAN
Date/Publication: 2017-06-26 16:37:19 UTC

More information about twfy at CRAN
Permanent link

New package stacomiR with initial version 0.5.3
Package: stacomiR
Version: 0.5.3
Date: 2017-06-24
Title: Fish Migration Monitoring
Authors@R: c(person("Cedric", "Briand", role = c("aut", "cre"), email = "cedric.briand00@gmail.com"), person("Marion", "Legrand", role = "aut", email="tableau-salt-loire@logrami.fr"), person("Timothee", "Besse", role = "aut", email="tableau-ang-loire@logrami.fr"))
Description: Graphical outputs and treatment for a database of fish pass monitoring. It is a part of the 'STACOMI' open source project developed in France by the French Agency for Biodiversity (AFB) institute to centralize data obtained by fish pass monitoring. Version 0.5.3 is available in French and English. See <http://stacomir.r-forge.r-project.org/> for more information on 'STACOMI'.
License: GPL (>= 2)
URL: http://stacomir.r-forge.r-project.org/
Collate: 'create_generic.R' 'data.R' 'fun_table_per_dis.R' 'fun_write_monthly.R' 'fungraph.R' 'fungraph_glasseel.R' 'funstat.R' 'funstat_daily.R' 'funtable.R' 'interface_report_annual.R' 'interface_report_dc.R' 'interface_report_df.R' 'interface_report_env.R' 'interface_report_ge_weight.R' 'interface_report_mig.R' 'interface_report_mig_char.R' 'interface_report_mig_env.R' 'interface_report_mig_interannual.R' 'interface_report_mig_mult.R' 'interface_report_sample_char.R' 'interface_report_sea_age.R' 'interface_report_silver_eel.R' 'interface_report_species.R' 'ref_checkbox.R' 'ref_choice.R' 'ref_coe.R' 'ref_dc.R' 'ref_df.R' 'ref_env.R' 'ref_horodate.R' 'ref_list.R' 'ref_par.R' 'ref_parqual.R' 'ref_parquan.R' 'ref_period.R' 'ref_stage.R' 'ref_taxa.R' 'ref_textbox.R' 'ref_timestep.R' 'ref_timestep_daily.R' 'ref_year.R' 'report_annual.R' 'report_dc.R' 'report_df.R' 'utilities.R' 'report_env.R' 'report_ge_weight.R' 'report_ope.R' 'report_mig.R' 'report_sample_char.R' 'report_mig_char.R' 'report_mig_mult.R' 'report_mig_env.R' 'report_mig_interannual.R' 'report_sea_age.R' 'report_silver_eel.R' 'report_species.R' 'setAs.R' 'stacomi.R'
LazyLoad: yes
LazyData: true
Depends: R (>= 3.0.0), methods, stacomirtools, RODBC
Imports: magrittr, intervals, RColorBrewer, stringr, gWidgets, gWidgetsRGtk2, RPostgreSQL, ggplot2, reshape2, sqldf, graphics, utils, stats, lattice, grDevices, Hmisc, RGtk2, lubridate, dplyr, xtable, mgcv
Suggests: testthat, viridis
Author: Cedric Briand [aut, cre], Marion Legrand [aut], Timothee Besse [aut]
Maintainer: Cedric Briand <cedric.briand00@gmail.com>
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Repository/R-Forge/Project: stacomir
Repository/R-Forge/Revision: 435
Repository/R-Forge/DateTimeStamp: 2017-06-26 14:28:41
Date/Publication: 2017-06-26 16:36:06 UTC
Packaged: 2017-06-26 14:45:23 UTC; rforge

More information about stacomiR at CRAN
Permanent link

Package RPPanalyzer updated to version 1.4.4 with previous version 1.4.3 dated 2016-02-11

Title: Reads, Annotates, and Normalizes Reverse Phase Protein Array Data
Description: Reads in sample description and slide description files and annotates the expression values taken from GenePix results files (text file format used by many microarray scanner and software providers). After normalization data can be visualized as boxplot, heatmap or dotplot.
Author: Heiko Mannsperger with contributions of Stephan Gade
Maintainer: Maren Sitte <maren.sitte@med.uni-goettingen.de>

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Package RLumShiny updated to version 0.2.0 with previous version 0.1.1 dated 2016-07-20

Title: 'Shiny' Applications for the R Package 'Luminescence'
Description: A collection of 'shiny' applications for the R package 'Luminescence'. These mainly, but not exclusively, include applications for plotting chronometric data from e.g. luminescence or radiocarbon dating. It further provides access to bootstraps tooltip and popover functionality and contains the 'jscolor.js' library with a custom 'shiny' output binding.
Author: Christoph Burow [aut, cre], Urs Tilmann Wolpert [aut], Sebastian Kreutzer [aut], R Luminescence Package Team [ctb], Jan Odvarko [cph] (jscolor.js in www/jscolor), AnalytixWare [cph] (ShinySky package), RStudio [cph] (chooser_inputBinding.js in www/ and chooser.R in R/)
Maintainer: Christoph Burow <christoph.burow@uni-koeln.de>

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Permanent link

Package PredPsych updated to version 0.2 with previous version 0.1 dated 2017-02-15

Title: Predictive Approaches in Psychology
Description: Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Author: Atesh Koul
Maintainer: Atesh Koul <atesh.koul@gmail.com>

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More information about PredPsych at CRAN
Permanent link

New package postlightmercury with initial version 1.0
Package: postlightmercury
Type: Package
Title: Parses Web Pages using Postlight Mercury
Version: 1.0
Author: Mikkel Freltoft Krogsholm
Maintainer: Mikkel Freltoft Krogsholm <mikkel@56n.dk>
Description: This is a wrapper for the Mercury Parser API. The Mercury Parser is a single API endpoint that takes a URL and gives you back the content reliably and easily. With just one API request, Mercury takes any web article and returns only the relevant content — headline, author, body text, relevant images and more — free from any clutter. It’s reliable, easy-to-use and free. See the webpage here: <https://mercury.postlight.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: httr, tibble, pbapply
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-06-26 13:05:24 UTC; mikkel
Repository: CRAN
Date/Publication: 2017-06-26 13:57:22 UTC

More information about postlightmercury at CRAN
Permanent link

Package pltesim updated to version 1.0 with previous version 0.1.2 dated 2017-03-15

Title: Simulate Probabilistic Long-Term Effects in Models with Temporal Dependence
Description: Calculates and depicts probabilistic long-term effects in binary models with temporal dependence variables. The package performs two tasks. First, it calculates the change in the probability of the event occurring given a change in a theoretical variable. Second, it calculates the rolling difference in the future probability of the event for two scenarios: one where the event occurred at a given time and one where the event does not occur. The package is consistent with the recent movement to depict meaningful and easy-to-interpret quantities of interest with the requisite measures of uncertainty. It is the first to make it easy for researchers to interpret short- and long-term effects of explanatory variables in binary autoregressive models, which can have important implications for the correct interpretation of these models.
Author: Christopher Gandrud [aut, cre], Laron K. Williams [aut]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between pltesim versions 0.1.2 dated 2017-03-15 and 1.0 dated 2017-06-26

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New package intRvals with initial version 1.0.0
Package: intRvals
Type: Package
Title: Analysis of Time-Ordered Event Data with Missed Observations
Version: 1.0.0
Date: 2017-06-26
Author: Adriaan M. Dokter
Maintainer: Adriaan M. Dokter <a.m.dokter@uva.nl>
Description: Calculates event rates and compares means and variances of groups of interval data corrected for missed arrival observations.
License: GNU General Public License
Imports: plyr,lme4
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-26 12:37:07 UTC; amd427
Repository: CRAN
Date/Publication: 2017-06-26 13:58:35 UTC

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New package greta with initial version 0.2.0
Package: greta
Type: Package
Title: Simple and Scalable Statistical Modelling in R
Version: 0.2.0
Date: 2017-06-26
Authors@R: person("Nick", "Golding", role = c("aut", "cre"), email = "nick.golding.research@gmail.com")
Description: Write statistical models in R and fit them by MCMC on CPUs and GPUs, using Google TensorFlow (see <https://goldingn.github.io/greta> for more information).
License: Apache License 2.0
URL: https://github.com/goldingn/greta
BugReports: https://github.com/goldingn/greta/issues
SystemRequirements: Python (>= 2.7.0) with header files and shared library; TensorFlow (>= 1.0.0; https://www.tensorflow.org/)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0)
Collate: 'package.R' 'overloaded.R' 'node_class.R' 'node_types.R' 'variable.R' 'probability_distributions.R' 'unknowns_class.R' 'greta_array_class.R' 'as_data.R' 'utils.R' 'distribution.R' 'operators.R' 'functions.R' 'transforms.R' 'structures.R' 'extract_replace_combine.R' 'dynamics_module.R' 'dag_class.R' 'greta_model_class.R' 'progress_bar.R' 'inference.R' 'samplers.R' 'install_tensorflow.R'
Imports: R6, tensorflow, reticulate, progress, coda
Suggests: knitr, rmarkdown, DiagrammeR, bayesplot, lattice, testthat, mvtnorm, MCMCpack, rmutil, extraDistr, truncdist
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-26 13:19:19 UTC; nick
Author: Nick Golding [aut, cre]
Maintainer: Nick Golding <nick.golding.research@gmail.com>
Repository: CRAN
Date/Publication: 2017-06-26 13:57:01 UTC

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Package dynamichazard updated to version 0.3.4 with previous version 0.3.3 dated 2017-06-18

Title: Dynamic Hazard Models using State Space Models
Description: Contains functions that lets you fit dynamic hazard models with binary outcomes using state space models. The methods are originally described in Fahrmeir (1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994) <doi:10.1093/biomet/81.2.317>. The functions also provide an extension hereof where the Extended Kalman filter is replaced by an Unscented Kalman filter. Models are fitted with the regular coxph() like formula.
Author: Benjamin Christoffersen [cre, aut], Alan Miller [cph], Anthony Williams [cph], Boost developers [cph], R-core [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

Diff between dynamichazard versions 0.3.3 dated 2017-06-18 and 0.3.4 dated 2017-06-26

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 src/ddhazard_EKF_solver.cpp                                     |   14 
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 tests/testthat/testresiduals.R                                  |   16 
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New package Dforest with initial version 0.4.0
Package: Dforest
Type: Package
Title: Decision Forest
Version: 0.4.0
Date: 2017-06-12
Author: Leihong Wu <leihong.wu@fda.hhs.gov>, Weida Tong (Weida.tong@fda.hhs.gov)
Maintainer: Leihong Wu <leihong.wu@fda.hhs.gov>
Depends: R (>= 3.0)
Imports: rpart, ggplot2, methods, stats
Description: Decision forest: combining the predictions of multiple independent decision tree models.
License: GPL-2
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 5.0.1
Packaged: 2017-06-26 13:46:08 UTC; Leihong.Wu
Repository: CRAN
Date/Publication: 2017-06-26 14:03:32 UTC

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Package DepthProc updated to version 2.0.2 with previous version 2.0.1 dated 2017-06-20

Title: Statistical Depth Functions for Multivariate Analysis
Description: Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.
Author: Zygmunt Zawadzki [aut, cre], Daniel Kosiorowski [aut], Krzysztof Slomczynski [ctb], Mateusz Bocian [ctb], Anna Wegrzynkiewicz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

Diff between DepthProc versions 2.0.1 dated 2017-06-20 and 2.0.2 dated 2017-06-26

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Package curl updated to version 2.7 with previous version 2.6 dated 2017-04-27

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [cre, aut], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between curl versions 2.6 dated 2017-04-27 and 2.7 dated 2017-06-26

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Package covr updated to version 3.0.0 with previous version 2.2.2 dated 2017-01-05

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between covr versions 2.2.2 dated 2017-01-05 and 3.0.0 dated 2017-06-26

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New package BayesTwin with initial version 1.0
Package: BayesTwin
Version: 1.0
Title: Bayesian Analysis of Item-Level Twin Data
Date: 2017-06-23
Author: Inga Schwabe
Maintainer: Inga Schwabe <bayestwin@gmail.com>
Depends: R (>= 3.4.0), foreign, coda, matrixStats, rjags
Description: Bayesian analysis of item-level hierarchical twin data using an integrated item response theory model. Analyses are based on Schwabe & van den Berg (2014) <doi:10.1007/s10519-014-9649-7>, Molenaar & Dolan (2014) <doi:10.1007/s10519-014-9647-9>, Schwabe, Jonker & van den Berg (2016) <doi:10.1007/s10519-015-9768-9> and Schwabe, Boomsma & van den Berg (2016) <doi:10.1016/j.lindif.2017.01.018>.
License: GPL (>= 2)
URL: http://www.ingaschwabe.com
BugReports: https://github.com/ingaschwabe/BayesTwin
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-26 14:12:33 UTC; ischwabe
Repository: CRAN
Date/Publication: 2017-06-26 16:37:46 UTC

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Package rzmq updated to version 0.9.2 with previous version 0.9.1 dated 2017-03-23

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <http://www.zeromq.org/> for more information).
Author: Whit Armstrong [aut], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between rzmq versions 0.9.1 dated 2017-03-23 and 0.9.2 dated 2017-06-26

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Package BatchGetSymbols updated to version 1.2 with previous version 1.1 dated 2016-12-05

Title: Downloads and Organizes Financial Data for Multiple Tickers
Description: Makes it easy to download a large number of trade data from Yahoo or Google Finance.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between BatchGetSymbols versions 1.1 dated 2016-12-05 and 1.2 dated 2017-06-26

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Package sqlscore updated to version 0.1.2 with previous version 0.1.1 dated 2017-01-07

Title: Utilities for Generating SQL Queries from Model Objects
Description: Provides utilities for generating SQL queries (particularly CREATE TABLE statements) from R model objects. The most important use case is generating SQL to score a generalized linear model or related model represented as an R object, in which case the package handles parsing formula operators and including the model's response function.
Author: William Brannon [aut, cre]
Maintainer: William Brannon <wwbrannon@email.wm.edu>

Diff between sqlscore versions 0.1.1 dated 2017-01-07 and 0.1.2 dated 2017-06-26

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New package rattle.data with initial version 1.0.2
Package: rattle.data
Title: Rattle Datasets
Version: 1.0.2
Date: 2017-06-26
Author: Graham Williams
Maintainer: Graham Williams <Graham.Williams@togaware.com>
Description: Contains the datasets used as default examples by the rattle package. The datasets themselves can be used independently of the rattle package to illustrate analytics, data mining, and data science tasks.
Depends: R (>= 2.10)
Suggests: rattle
LazyData: yes
License: GPL-3
NeedsCompilation: no
Repository: CRAN
Packaged: 2017-06-26 04:12:47 UTC; gjw
Date/Publication: 2017-06-26 06:12:10 UTC

More information about rattle.data at CRAN
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New package helixvis with initial version 0.1.0
Package: helixvis
Type: Package
Title: Visualize Alpha-Helical Peptide Sequences
Date: 2017-06-19
Version: 0.1.0
Authors@R: c( person("Raoul", "Wadhwa", email = "raoulwadhwa@gmail.com", role = c("cre", "aut")), person("Regina", "Stevens-Truss", email = "rtruss@kzoo.edu", role = "aut"))
Description: Create pretty visualizations of alpha-helical peptide sequences in R. The amino acid type (polar, hydrophobic, etc.) is denoted by color. This package allows creation of helical wheels, and the newer Wenxiang diagrams. Future versions aim to include increased customizability of the two existing visualizations, as well as a visualization for the helical net diagram.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rJava (>= 0.9)
Depends: R (>= 3.2.5)
SystemRequirements: Java JDK 1.8 or higher
URL: https://github.com/rrrlw/helixvis
BugReports: https://github.com/rrrlw/helixvis/issues
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-06-26 01:10:15 UTC; raoul
Author: Raoul Wadhwa [cre, aut], Regina Stevens-Truss [aut]
Maintainer: Raoul Wadhwa <raoulwadhwa@gmail.com>
Repository: CRAN
Date/Publication: 2017-06-26 06:13:24 UTC

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Package getCRUCLdata updated to version 0.1.7 with previous version 0.1.6 dated 2017-06-13

Title: Use and Explore CRU CL v. 2.0 Climatology Elements in R
Description: Provides functions that automate downloading and importing University of East Anglia Climate Research Unit (CRU) CL v. 2.0 climatology data into R, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a tidy data frame as a tibble or a list of raster stack objects for use in an R session. CRU CL v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arcminutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Author: Adam Sparks [aut, cre] (http://orcid.org/0000-0002-0061-8359)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between getCRUCLdata versions 0.1.6 dated 2017-06-13 and 0.1.7 dated 2017-06-26

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 21 files changed, 85 insertions(+), 86 deletions(-)

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New package easyml with initial version 0.1.0
Package: easyml
Version: 0.1.0
Title: Easily Build and Evaluate Machine Learning Models
Description: Easily build and evaluate machine learning models on a dataset. Machine learning models supported include penalized linear models, penalized linear models with interactions, random forest, support vector machines, neural networks, and deep neural networks.
Authors@R: c( person("Woo-Young", "Ahn", , "ahn.280@osu.edu", c("aut", "cre")), person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", "aut"), person("OSU-CCSL", role = "cph"))
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 3.3.1)
Imports: caret, corrplot, darch, dummies, e1071, futile.logger, ggplot2, glinternet, glmnet, parallel, pbapply, pbmcapply, pROC, nnet, randomForest, scales, scorer
Suggests: covr, lintr, testthat, knitr, rmarkdown
URL: https://github.com/CCS-Lab/easyml
BugReports: https://github.com/CCS-Lab/easyml/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-26 00:34:41 UTC; paulhendricks
Author: Woo-Young Ahn [aut, cre], Paul Hendricks [aut], OSU-CCSL [cph]
Maintainer: Woo-Young Ahn <ahn.280@osu.edu>
Repository: CRAN
Date/Publication: 2017-06-26 06:13:47 UTC

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