Mon, 06 Mar 2017

Package stm updated to version 1.2.1 with previous version 1.1.3 dated 2016-01-14

Title: Estimation of the Structural Topic Model
Description: The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions.
Author: Margaret Roberts [aut, cre], Brandon Stewart [aut, cre], Dustin Tingley [aut, cre], Kenneth Benoit [ctb]
Maintainer: Brandon Stewart <bms4@princeton.edu>

Diff between stm versions 1.1.3 dated 2016-01-14 and 1.2.1 dated 2017-03-06

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 stm-1.2.1/stm/DESCRIPTION                    |   22 -
 stm-1.2.1/stm/LICENSE                        |    2 
 stm-1.2.1/stm/MD5                            |  227 ++++++-----
 stm-1.2.1/stm/NAMESPACE                      |  150 +++++--
 stm-1.2.1/stm/R/RcppExports.R                |    2 
 stm-1.2.1/stm/R/STMfunctions.R               |  175 +++++++-
 stm-1.2.1/stm/R/STMinit.R                    |   33 +
 stm-1.2.1/stm/R/STMlncpp.R                   |  115 +++++
 stm-1.2.1/stm/R/STMmnreg.R                   |    2 
 stm-1.2.1/stm/R/STMmu.R                      |   19 
 stm-1.2.1/stm/R/checkBeta.R                  |   32 +
 stm-1.2.1/stm/R/cloud.R                      |   39 +
 stm-1.2.1/stm/R/convertCorpus.R              |   50 ++
 stm-1.2.1/stm/R/estimateEffect.R             |  184 +++++++++
 stm-1.2.1/stm/R/exclusivity.R                |   42 +-
 stm-1.2.1/stm/R/findThoughts.R               |  170 +++++++-
 stm-1.2.1/stm/R/findTopic.R                  |   21 +
 stm-1.2.1/stm/R/fitNewDocuments.R            |only
 stm-1.2.1/stm/R/heldout.R                    |   49 ++
 stm-1.2.1/stm/R/labelTopics.R                |   57 ++
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 stm-1.2.1/stm/R/manyTopics.R                 |  100 ++++-
 stm-1.2.1/stm/R/multiSTM.R                   |  311 +++++++++++++++
 stm-1.2.1/stm/R/permute.R                    |  117 +++++
 stm-1.2.1/stm/R/plot.STM.R                   |   89 ++++
 stm-1.2.1/stm/R/plot.estimateEffect.R        |  134 ++++++
 stm-1.2.1/stm/R/plot.searchK.R               |   36 +
 stm-1.2.1/stm/R/plotModels.R                 |   35 +
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 stm-1.2.1/stm/R/plotRemoved.R                |   28 +
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 stm-1.2.1/stm/R/readCorpus.R                 |   66 +++
 stm-1.2.1/stm/R/residuals.R                  |   56 ++
 stm-1.2.1/stm/R/s.R                          |   54 ++
 stm-1.2.1/stm/R/sageLabels.R                 |   32 +
 stm-1.2.1/stm/R/searchK.R                    |   66 +++
 stm-1.2.1/stm/R/selectModel.R                |   96 ++++
 stm-1.2.1/stm/R/semanticCoherence.R          |   69 ++-
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 stm-1.2.1/stm/R/textProcessor.R              |  145 ++++++-
 stm-1.2.1/stm/R/thetaPosterior.R             |   73 +++
 stm-1.2.1/stm/R/toLDAvis.R                   |   49 ++
 stm-1.2.1/stm/R/topicCorr.R                  |  112 +++++
 stm-1.2.1/stm/R/topicLasso.R                 |   82 +++-
 stm-1.2.1/stm/R/topicQuality.R               |   36 +
 stm-1.2.1/stm/R/writeLdac.R                  |   38 +
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 stm-1.2.1/stm/man/plot.STMpermute.Rd         |   75 +--
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 stm-1.2.1/stm/man/plot.searchK.Rd            |   28 -
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 125 files changed, 6667 insertions(+), 2640 deletions(-)

More information about stm at CRAN
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Package rmumps updated to version 5.0.1.12 with previous version 5.0.1.11-1 dated 2016-12-22

Title: Wrapper for MUMPS Library
Description: Some basic features of MUMPS (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU factorization and system solving.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.0.1.11-1 dated 2016-12-22 and 5.0.1.12 dated 2017-03-06

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 rmumps-5.0.1.12/rmumps/NEWS                                 |   12 
 rmumps-5.0.1.12/rmumps/R/RcppExports.R                      |    4 
 rmumps-5.0.1.12/rmumps/R/methods.R                          |   17 
 rmumps-5.0.1.12/rmumps/R/zzz.R                              |    1 
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More information about rmumps at CRAN
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Package quadrupen updated to version 0.2-5 with previous version 0.2-4 dated 2014-01-16

Title: Sparsity by Worst-Case Quadratic Penalties
Description: Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection).
Author: Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inra.fr>

Diff between quadrupen versions 0.2-4 dated 2014-01-16 and 0.2-5 dated 2017-03-06

 DESCRIPTION         |   17 ++++++++++-------
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 NAMESPACE           |    8 +++-----
 NEWS                |    4 ++++
 R/crossval-class.R  |   19 +++++++++++--------
 R/quadrupen-class.R |    4 ++--
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 R/stability-class.R |    4 ++--
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 9 files changed, 42 insertions(+), 33 deletions(-)

More information about quadrupen at CRAN
Permanent link

Package fslr updated to version 2.12 with previous version 2.0 dated 2016-09-28

Title: Wrapper Functions for FSL ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')
Description: Wrapper functions that interface with 'FSL' <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'FSL' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'FSL' command and returns an R object of class 'nifti' if desired.
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between fslr versions 2.0 dated 2016-09-28 and 2.12 dated 2017-03-06

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New package biolink with initial version 0.1.2
Package: biolink
Type: Package
Title: Create Hyperlinks to Biological Databases and Resources
Description: Generate urls and hyperlinks to commonly used biological databases and resources based on standard identifiers. This is primarily useful when writing dynamic reports that reference things like gene symbols in text or tables, allowing you to, for example, convert gene identifiers to hyperlinks pointing to their entry in the NCBI Gene database. Currently supports NCBI Gene, PubMed, Gene Ontology, CRAN and Bioconductor.
Version: 0.1.2
Authors@R: person("Aaron", "Wolen", , "aaron@wolen.com", role = c("aut", "cre"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: utils, rentrez, xml2, memoise
Suggests: testthat, lintr, httr, covr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-06 15:26:25 UTC; aaron
Author: Aaron Wolen [aut, cre]
Maintainer: Aaron Wolen <aaron@wolen.com>
Repository: CRAN
Date/Publication: 2017-03-07 01:21:03

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Package woeBinning updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-21

Title: Supervised Weight of Evidence Binning of Numeric Variables and Factors
Description: Implements an automated binning of numeric variables and factors with respect to a dichotomous target variable. Two approaches are provided: An implementation of fine and coarse classing that merges granular classes and levels step by step. And a tree-like approach that iteratively segments the initial bins via binary splits. Both procedures merge, respectively split, bins based on similar weight of evidence (WOE) values and stop via an information value (IV) based criteria. The package can be used with single variables or an entire data frame. It provides flexible tools for exploring different binning solutions and for deploying them to (new) data.
Author: Thilo Eichenberg
Maintainer: Thilo Eichenberg <te.r@gmx.net>

Diff between woeBinning versions 0.1.1 dated 2017-02-21 and 0.1.2 dated 2017-03-06

 DESCRIPTION               |   30 ++++++++++++++----------------
 MD5                       |   26 ++++++++++++++------------
 NAMESPACE                 |    1 +
 R/woe.binning.R           |   43 ++++++++++++++++++++++++++++---------------
 R/woe.binning.deploy.R    |   28 +++++++++++++---------------
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 15 files changed, 129 insertions(+), 133 deletions(-)

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Package StructFDR updated to version 1.1 with previous version 1.0 dated 2016-11-01

Title: False Discovery Control Procedure Integrating the Prior Structure Information
Description: Perform more powerful false discovery control (FDR) for microbiome data, taking into account the prior phylogenetic relationship among bacteria species. As a general methodology, it is applicable to any type of (genomic) data with prior structure information.
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2@mayo.edu>

Diff between StructFDR versions 1.0 dated 2016-11-01 and 1.1 dated 2017-03-06

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Package spm12r updated to version 2.3.1 with previous version 2.0 dated 2016-09-28

Title: Wrapper Functions for 'SPM' (Statistical Parametric Mapping) Version 12 from the 'Wellcome' Trust Centre for 'Neuroimaging'
Description: Installs 'SPM12' to the R library directory and has associated functions for 'fMRI' and general imaging utilities, called through 'MATLAB'.
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between spm12r versions 2.0 dated 2016-09-28 and 2.3.1 dated 2017-03-06

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Package SpecsVerification updated to version 0.5-2 with previous version 0.5-1 dated 2017-02-28

Title: Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
Description: A collection of forecast verification routines developed for the SPECS FP7 project. The emphasis is on comparative verification of ensemble forecasts of weather and climate.
Author: Stefan Siegert [aut, cre], Jonas Bhend [ctb], Igor Kroener [ctb], Matteo De Felice [ctb]
Maintainer: Stefan Siegert <s.siegert@exeter.ac.uk>

Diff between SpecsVerification versions 0.5-1 dated 2017-02-28 and 0.5-2 dated 2017-03-06

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Package sjmisc updated to version 2.3.1 with previous version 2.3.0 dated 2017-02-07

Title: Data Transformation and Labelled Data Utility Functions
Description: Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/ or who are new to R), supporting following common tasks when working with data : 1) Reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this includes easy ways to get and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjmisc versions 2.3.0 dated 2017-02-07 and 2.3.1 dated 2017-03-06

 DESCRIPTION                     |   16 
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 NAMESPACE                       |    3 
 NEWS                            |   17 
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Package RProtoBuf updated to version 0.4.9 with previous version 0.4.8 dated 2017-01-17

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our paper in the Journal of Statistical Software (2016, v71i02). Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package lmomco updated to version 2.2.6 with previous version 2.2.5 dated 2016-09-10

Title: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description: Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

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Package gnumeric updated to version 0.7-7 with previous version 0.7-6 dated 2016-10-25

Title: Read Data from Files Readable by 'gnumeric'
Description: Read data files readable by 'gnumeric' into 'R'. Can read whole sheet or a range, from several file formats, including the native format of 'gnumeric'. Reading is done by using 'ssconvert' (a file converter utility included in the 'gnumeric' distribution <http://projects.gnome.org/gnumeric/>) to convert the requested part to CSV. From 'gnumeric' files (but not other formats) can list sheet names and sheet sizes or read all sheets.
Author: Karoly Antal <antalk2@gmail.com>.
Maintainer: Karoly Antal <antalk2@gmail.com>

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Package GetoptLong updated to version 0.1.6 with previous version 0.1.5 dated 2016-09-26

Title: Parsing Command-Line Arguments and Variable Interpolation
Description: This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package drake updated to version 2.0.0 with previous version 1.0.1 dated 2017-02-27

Title: Data Frames in R for Make
Description: Reproducible build system for any project. Understands the dependency structure of your workflow, builds out-of-date targets, skips up-to-date targets, and offers two forms of parallel computing.
Author: William Michael Landau [aut, cre], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@lilly.com>

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Package diveMove updated to version 1.4.3 with previous version 1.4.2 dated 2017-02-23

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

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Package complexity updated to version 1.1.0 with previous version 1.0.0 dated 2017-01-21

Title: Calculate the Proportion of Permutations in Line with an Informative Hypothesis
Description: Allows for the easy computation of complexity: the proportion of the parameter space in line with the hypothesis by chance. The package comes with a Shiny application in which the calculations can be conducted as well.
Author: M. A. J. Zondervan-Zwijnenburg
Maintainer: M. A. J. Zondervan-Zwijnenburg <m.a.j.zwijnenburg@uu.nl>

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Package ALSM updated to version 0.2.0 with previous version 0.1.9 dated 2017-02-03

Title: Companion to Applied Linear Statistical Models
Description: Functions and Data set presented in Applied Linear Statistical Models Fifth Edition (Chapters 1-9 and 16-25), Michael H. Kutner; Christopher J. Nachtsheim; John Neter; William Li, 2005. (ISBN-10: 0071122214, ISBN-13: 978-0071122214) that do not exist in R, are gathered in this package. The whole book will be covered in the next versions.
Author: Ali Ghanbari <a.ghanbari541@gmail.com>
Maintainer: Ali Ghanbari <a.ghanbari541@gmail.com>

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Package pec updated to version 2.5.3 with previous version 2.4.9 dated 2016-05-14

Title: Prediction Error Curves for Risk Prediction Models in Survival Analysis
Description: Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation.
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package infoDecompuTE updated to version 0.6.0 with previous version 0.5.1 dated 2013-02-04

Title: Information Decomposition of Two-Phase Experiments
Description: The main purpose of this package is to generate the structure of the analysis of variance (ANOVA) table of the two-phase experiments. The user only need to input the design and the relationships of the random and fixed factors using the Wilkinson-Rogers' syntax, this package can then quickly generate the structure of the ANOVA table with the coefficients of the variance components for the expected mean squares. Thus, the balanced incomplete block design and provides the efficiency factors of the fixed effects can also be studied and compared much easily.
Author: Kevin Chang [aut, cre]
Maintainer: Kevin Chang <k.chang@auckland.ac.nz>

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Package GlobalOptions updated to version 0.0.11 with previous version 0.0.10 dated 2016-04-17

Title: Generate Functions to Get or Set Global Options
Description: It provides more controls on the option values such as validation and filtering on the values, making options invisible or private.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GlobalOptions versions 0.0.10 dated 2016-04-17 and 0.0.11 dated 2017-03-06

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Package elementR updated to version 1.3.0 with previous version 1.2 dated 2016-12-14

Title: A Set of R6 Classes & a Shiny Application for Reducing Elemental LA-ICPMS Data from Solid Structures
Description: Aims to facilitate the reduction of elemental microchemistry data from solid-phase LA-ICPMS analysis (laser ablation inductive coupled plasma mass spectrometry). The elementR package provides a reactive and user friendly interface for conducting all steps needed for an optimal data reduction while leaving maximum control for user.
Author: Charlotte Sirot, Francois Guilhaumon
Maintainer: Charlotte Sirot <charlott.sirot@gmail.com>

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 elementR-1.3.0/elementR/NAMESPACE                                                                          |    6 
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 elementR-1.3.0/elementR/man/elementR_project.Rd                                                            |    9 
 elementR-1.3.0/elementR/man/elementR_rep.Rd                                                                |    4 
 elementR-1.3.0/elementR/man/elementR_repSample.Rd                                                          |   10 
 elementR-1.3.0/elementR/man/elementR_sample.Rd                                                             |    7 
 elementR-1.3.0/elementR/man/elementR_standard.Rd                                                           |    4 
 elementR-1.3.0/elementR/man/readData.Rd                                                                    |    2 
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New package twilio with initial version 0.1.0
Package: twilio
Type: Package
Title: An Interface to the Twilio API for R
Version: 0.1.0
Authors@R: person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre"))
Description: The Twilio web service provides an API for computer programs to interact with telephony. The included functions wrap the SMS and MMS portions of Twilio's API, allowing users to send and receive text messages from R. See <https://www.twilio.com/docs/> for more information.
Depends: R (>= 3.1.0)
Imports: purrr, httr, jsonlite, magrittr, lubridate
License: MIT + file LICENSE
URL: http://github.com/seankross/twilio
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-03-06 13:09:49 UTC; sean
Author: Sean Kross [aut, cre]
Maintainer: Sean Kross <sean@seankross.com>
Repository: CRAN
Date/Publication: 2017-03-06 14:15:56

More information about twilio at CRAN
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New package MTA with initial version 0.1.0
Package: MTA
Title: Multiscalar Territorial Analysis
Version: 0.1.0
Date: 2017-02-28
Authors@R: c(person("Ronan", "Ysebaert", email = "ronan.ysebaert@cnrs.fr", role = c("aut")), person("Nicolas", "Lambert", email = "nicolas.lambert@cnrs.fr", role = c("aut")), person("Timothée", "Giraud", email = "timothee.giraud@cnrs.fr", role = c("aut", "cre")))
Description: Build multiscalar territorial analysis based on various contexts.
License: GPL-3
URL: https://github.com/riatelab/MTA/
BugReports: https://github.com/riatelab/MTA/issues/
LazyData: true
Depends: R (>= 3.0)
Imports: stats, sp, rgeos, igraph
Suggests: cartography, knitr, rmarkdown, ineq, png, reshape2
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-06 09:29:14 UTC; tg
Author: Ronan Ysebaert [aut], Nicolas Lambert [aut], Timothée Giraud [aut, cre]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>
Repository: CRAN
Date/Publication: 2017-03-06 14:06:36

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New package Rcssplot with initial version 0.2.0.0
Package: Rcssplot
Title: Styling of Graphics using Cascading Style Sheets
Version: 0.2.0.0
Authors@R: person("Tomasz", "Konopka", , "tokonopka@gmail.com", role = c("aut", "cre"))
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka@gmail.com>
Description: Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.
Depends: R (>= 3.1.2)
Imports: graphics, stats, utils
Suggests: knitr, rmarkdown
License: GPL-2
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-06 10:51:49 UTC; tomasz
Repository: CRAN
Date/Publication: 2017-03-06 13:53:03

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Package prodlim updated to version 1.6.1 with previous version 1.5.9 dated 2017-01-14

Title: Product-Limit Estimation for Censored Event History Analysis
Description: Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

Diff between prodlim versions 1.5.9 dated 2017-01-14 and 1.6.1 dated 2017-03-06

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Package mombf updated to version 1.9.2 with previous version 1.8.3 dated 2016-11-18

Title: Moment and Inverse Moment Bayes Factors
Description: Model selection and parameter estimation based on non-local and Zellner priors. Bayes factors, marginal densities and variable selection in regression setups. Routines to sample, evaluate prior densities, distribution functions and quantiles are included.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Maintainer: David Rossell <rosselldavid@gmail.com>

Diff between mombf versions 1.8.3 dated 2016-11-18 and 1.9.2 dated 2017-03-06

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Package mc2d updated to version 0.1-18 with previous version 0.1-17 dated 2016-10-12

Title: Tools for Two-Dimensional Monte-Carlo Simulations
Description: A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).
Author: Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb]
Maintainer: Regis Pouillot <rpouillot@yahoo.fr>

Diff between mc2d versions 0.1-17 dated 2016-10-12 and 0.1-18 dated 2017-03-06

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Package ptw updated to version 1.9-12 with previous version 1.9-11 dated 2015-08-21

Title: Parametric Time Warping
Description: Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported.
Author: Jan Gerretzen <j.gerretzen@science.ru.nl>, Paul Eilers <p.eilers@erasmusmc.nl>, Hans Wouters, Tom Bloemberg <t.bloemberg@science.ru.nl>, Ron Wehrens <ron.wehrens@gmail.com>
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between ptw versions 1.9-11 dated 2015-08-21 and 1.9-12 dated 2017-03-06

 DESCRIPTION            |    6 +++---
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Permanent link

New package funchir with initial version 0.1.4
Package: funchir
Version: 0.1.4
Title: Convenience Functions by Michael Chirico
Author: Michael Chirico
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>
Depends: R (>= 3.2.2)
Description: A set of functions, some subset of which I use in every .R file I write. Examples are table2(), which adds useful functionalities to base table (sorting, built-in proportion argument, etc.); lyx.xtable(), which converts xtable() output to a format more easily copy-pasted into LyX; pdf2(), which writes a plot to file while also displaying it in the RStudio plot window; and abbr_to_colClass(), which is a much more concise way of feeding many types to a colClass argument in a data reader.
Imports: data.table
License: GPL (>= 2)
URL: https://github.com/MichaelChirico/funchir
NeedsCompilation: no
Packaged: 2017-03-05 12:51:05 UTC; michael
Repository: CRAN
Date/Publication: 2017-03-06 11:13:06

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New package FSelectorRcpp with initial version 0.1.0
Package: FSelectorRcpp
Type: Package
Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
Version: 0.1.0
Date: 2017-03-03
Authors@R: c( person("Zygmunt", "Zawadzki", role = c("aut", "cre"), email = "zygmunt@zstat.pl"), person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@gmail.com"), person("Krzysztof", "Slomczynski", role = c("ctb"), email = "krzysztofslomczynski@gmail.com") )
Description: 'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms with a sparse matrix support. It is also equipped with a parallel backend.
Depends: R (>= 3.3.2)
License: GPL-2
LazyData: TRUE
SystemRequirements: C++11
Imports: Rcpp (>= 0.12.0), foreach, iterators
LinkingTo: Rcpp, BH, RcppArmadillo, testthat
Suggests: testthat, Matrix, RcppArmadillo, dplyr, RWeka, entropy, FSelector, randomForest, doSNOW, doParallel, rpart, MASS, covr, parallel, htmltools, magrittr, knitr, RTCGA.rnaseq, ggplot2, microbenchmark, pbapply, tibble, rmarkdown
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-06 07:55:17 UTC; zygmunt
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>
Repository: CRAN
Date/Publication: 2017-03-06 11:28:51

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New package BMAmevt with initial version 1.0.1
Package: BMAmevt
Type: Package
Title: Multivariate Extremes: Bayesian Estimation of the Spectral Measure
Version: 1.0.1
Date: 2017-02-22
Author: Anne Sabourin
Maintainer: Leo Belzile <leo.belzile@epfl.ch>
Depends: stats, utils, coda
Description: Toolkit for Bayesian estimation of the dependence structure in Multivariate Extreme Value parametric models.
License: GPL (>= 2)
LazyData: no
NeedsCompilation: yes
Repository: CRAN
Collate: 'BMAmevt-package.R' 'Laplace.evt.r' 'MCpriorIntFun.nl.r' 'MCpriorIntFun.pb.r' 'MCpriorIntFun.r' 'add.frame.r' 'transf.to.equi.r' 'cons.angular.dat.r' 'ddirimix.grid.r' 'ddirimix.grid1D.r' 'ddirimix.r' 'dgridplot.R' 'diagnose.r' 'discretize.R' 'dnestlog.grid.r' 'dnestlog.r' 'dpairbeta.grid.r' 'dpairbeta.r' 'emp_density.r' 'excessProb.condit.dm.r' 'excessProb.nl.r' 'excessProb.pb.r' 'lAccept.ratio.r' 'marginal.lkl.nl.r' 'marginal.lkl.pb.r' 'marginal.lkl.r' 'maxLikelihood.r' 'posterior.predictive.nl.r' 'posterior.predictive.pb.r' 'posterior.predictive3D.r' 'posteriorDistr.bma.r' 'posteriorMCMC.nl.r' 'posteriorMCMC.pb.r' 'posteriorMCMC.r' 'posteriorMean.r' 'posteriorWeights.r' 'prior.nl.r' 'prior.pb.r' 'proposal.nl.r' 'proposal.pb.r' 'rdirimix.r' 'rect.integrate.r' 'rnestlog.r' 'rpairbeta.r' 'rstable.posit.R' 'scores3D.r' 'transf.to.rect.r' 'wrapper.R' 'zzz.r'
RoxygenNote: 6.0.1
Packaged: 2017-03-05 20:44:06 UTC; leo
Date/Publication: 2017-03-06 11:13:03

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Package syuzhet updated to version 1.0.1 with previous version 1.0.0 dated 2016-04-27

Title: Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
Description: Extracts sentiment and sentiment-derived plot arcs from text using three sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include "syuzhet" (default) developed in the Nebraska Literary Lab "afinn" developed by Finn {\AA}rup Nielsen, "bing" developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D. Applicable references are available in README.md and in the documentation for the "get_sentiment" function. The package also provides a hack for implementing Stanford's coreNLP sentiment parser. The package provides several methods for plot arc normalization.
Author: Matthew Jockers [aut, cre]
Maintainer: Matthew Jockers <mjockers@gmail.com>

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Package sjstats updated to version 0.9.0 with previous version 0.8.0 dated 2017-02-03

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package RVowpalWabbit updated to version 0.0.9 with previous version 0.0.8 dated 2016-10-17

Title: R Interface to the Vowpal Wabbit
Description: The 'Vowpal Wabbit' project is a fast out-of-core learning system sponsored by Microsoft Research (having started at Yahoo! Research) and written by John Langford along with a number of contributors. This R package does not include the distributed computing implementation of the cluster/ directory of the upstream sources. Use of the software as a network service is also not directly supported as the aim is a simpler direct call from R for validation and comparison.
Author: Dirk Eddelbuettel <edd@debian.org>
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RVowpalWabbit versions 0.0.8 dated 2016-10-17 and 0.0.9 dated 2017-03-06

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New package gt4ireval with initial version 2.0
Package: gt4ireval
Title: Generalizability Theory for Information Retrieval Evaluation
Version: 2.0
Authors@R: person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre"))
Description: Provides tools to measure the reliability of an Information Retrieval test collection. It allows users to estimate reliability using Generalizability Theory and map those estimates onto well-known indicators such as Kendall tau correlation or sensitivity.
Depends: R (>= 3.2)
License: MIT + file LICENSE
BugReports: https://github.com/julian-urbano/gt4ireval/issues
URL: https://github.com/julian-urbano/gt4ireval/
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-06 01:20:03 UTC; caerolus
Author: Julián Urbano [aut, cre]
Maintainer: Julián Urbano <urbano.julian@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-06 08:29:02

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Permanent link

Package gitlabr updated to version 0.7 with previous version 0.6.4 dated 2016-02-09

Title: Access to the Gitlab API
Description: Provides R functions to access the API of the project and repository management web application gitlab. For many common tasks (repository file access, issue assignment and status, commenting) convenience wrappers are provided, and in addition the full API can be used by specifying request locations. Gitlab is open-source software and can be self-hosted or used on gitlab.com.
Author: Jirka Lewandowski [aut, cre]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

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Package ForestTools updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-21

Title: Analysing Remotely Sensed Forest Data
Description: Forest Tools provides functions for analyzing remotely sensed forest data.
Author: Andrew Plowright
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 0.1.0 dated 2017-01-21 and 0.1.1 dated 2017-03-06

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Permanent link

Package emojifont updated to version 0.4.1 with previous version 0.4.0 dated 2017-02-15

Title: Emoji and Font Awesome in Graphics
Description: An implementation of using emoji and fontawesome for using in both base and 'ggplot2' graphics.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between emojifont versions 0.4.0 dated 2017-02-15 and 0.4.1 dated 2017-03-06

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Package edarf updated to version 1.1.1 with previous version 1.1.0 dated 2016-11-30

Title: Exploratory Data Analysis using Random Forests
Description: Functions useful for exploratory data analysis using random forests which can be used to compute multivariate partial dependence, observation, class, and variable-wise marginal and joint permutation importance as well as observation-specific measures of distance (supervised or unsupervised). All of the aforementioned functions are accompanied by 'ggplot2' plotting functions.
Author: Zachary M. Jones <zmj@zmjones.com> and Fridolin Linder <fridolin.linder@gmail.com>
Maintainer: Zachary M. Jones <zmj@zmjones.com>

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Package DySeq updated to version 0.22 with previous version 0.13 dated 2016-04-18

Title: Functions for Dyadic Sequence Analyses
Description: Functions for dyadic binary/dichotomous sequence analyses are implemented in this contribution. The focus is on estimating actor-partner-interaction models using various approaches, for instances the approach of Bakeman & Gottman's (1997) <DOI:10.1017/cbo9780511527685>, generalized multi-level models, and basic Markov models. Moreover, coefficients of one model can be translated into those of the other models. Finally, simulation-based power analyses are provided.
Author: Peter Fuchs
Maintainer: Peter Fuchs <Pete.Fuchs@gmail.com>

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Package Delaporte updated to version 5.0.1 with previous version 5.0.0 dated 2017-03-05

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between Delaporte versions 5.0.0 dated 2017-03-05 and 5.0.1 dated 2017-03-06

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