Fri, 10 Nov 2017

Package xtensor updated to version 0.3.0-0 with previous version 0.2.0-0 dated 2017-10-23

Title: Headers for the 'xtensor' Library
Description: The 'xtensor' C++ library for numerical analysis with multi-dimensional array expressions is provided as a header-only C++14 library. It offers an extensible expression system enabling lazy broadcasting; an API following the idioms of the C++ standard library; and tools to manipulate array expressions and build upon 'xtensor'.
Author: Johan Mabille, Sylvain Corlay and Wolf Vollprecht
Maintainer: Sylvain Corlay <sylvain.corlay@gmail.com>

Diff between xtensor versions 0.2.0-0 dated 2017-10-23 and 0.3.0-0 dated 2017-11-10

 DESCRIPTION                                           |    6 
 MD5                                                   |  133 +--
 inst/include/xtensor-r/rarray.hpp                     |   15 
 inst/include/xtensor-r/rcontainer.hpp                 |   34 
 inst/include/xtensor-r/rtensor.hpp                    |   17 
 inst/include/xtensor-r/xtensor_r_config.hpp           |    2 
 inst/include/xtensor/xadapt.hpp                       |  105 +-
 inst/include/xtensor/xarray.hpp                       |  226 +++--
 inst/include/xtensor/xassign.hpp                      |   82 +-
 inst/include/xtensor/xaxis_iterator.hpp               |    4 
 inst/include/xtensor/xbroadcast.hpp                   |    6 
 inst/include/xtensor/xbuffer_adaptor.hpp              |  392 ++++-----
 inst/include/xtensor/xbuilder.hpp                     |   27 
 inst/include/xtensor/xcomplex.hpp                     |   18 
 inst/include/xtensor/xconcepts.hpp                    |   16 
 inst/include/xtensor/xcontainer.hpp                   |   68 +
 inst/include/xtensor/xcsv.hpp                         |    4 
 inst/include/xtensor/xeval.hpp                        |    4 
 inst/include/xtensor/xexception.hpp                   |    8 
 inst/include/xtensor/xexpression.hpp                  |   27 
 inst/include/xtensor/xfunction.hpp                    |   26 
 inst/include/xtensor/xfunctorview.hpp                 |   14 
 inst/include/xtensor/xgenerator.hpp                   |    4 
 inst/include/xtensor/xindexview.hpp                   |    4 
 inst/include/xtensor/xinfo.hpp                        |   15 
 inst/include/xtensor/xio.hpp                          |   51 -
 inst/include/xtensor/xiterable.hpp                    |    6 
 inst/include/xtensor/xiterator.hpp                    |    4 
 inst/include/xtensor/xlayout.hpp                      |    4 
 inst/include/xtensor/xmath.hpp                        |   46 -
 inst/include/xtensor/xnoalias.hpp                     |    4 
 inst/include/xtensor/xnorm.hpp                        |only
 inst/include/xtensor/xnpy.hpp                         |only
 inst/include/xtensor/xoffsetview.hpp                  |    8 
 inst/include/xtensor/xoperation.hpp                   |  162 ++++
 inst/include/xtensor/xoptional.hpp                    |  706 ++++++++++++++++--
 inst/include/xtensor/xoptional_assembly.hpp           |only
 inst/include/xtensor/xoptional_assembly_base.hpp      |only
 inst/include/xtensor/xrandom.hpp                      |    4 
 inst/include/xtensor/xreducer.hpp                     |   52 -
 inst/include/xtensor/xscalar.hpp                      |   12 
 inst/include/xtensor/xsemantic.hpp                    |  194 ++--
 inst/include/xtensor/xslice.hpp                       |   80 +-
 inst/include/xtensor/xstorage.hpp                     |    4 
 inst/include/xtensor/xstridedview.hpp                 |  118 ++-
 inst/include/xtensor/xstrides.hpp                     |    4 
 inst/include/xtensor/xtensor.hpp                      |  193 ++--
 inst/include/xtensor/xtensor_config.hpp               |    4 
 inst/include/xtensor/xtensor_forward.hpp              |   66 +
 inst/include/xtensor/xtensor_simd.hpp                 |   20 
 inst/include/xtensor/xutils.hpp                       |  324 ++------
 inst/include/xtensor/xvectorize.hpp                   |    4 
 inst/include/xtensor/xview.hpp                        |   26 
 inst/include/xtensor/xview_utils.hpp                  |    4 
 inst/include/xtl/xany.hpp                             |    4 
 inst/include/xtl/xbase64.hpp                          |only
 inst/include/xtl/xbasic_fixed_string.hpp              |   33 
 inst/include/xtl/xclosure.hpp                         |   36 
 inst/include/xtl/xdynamic_bitset.hpp                  |only
 inst/include/xtl/xhash.hpp                            |   78 +
 inst/include/xtl/xiterator_base.hpp                   |    7 
 inst/include/xtl/xmeta_utils.hpp                      |only
 inst/include/xtl/xoptional.hpp                        |  395 ++++++----
 inst/include/xtl/xoptional_sequence.hpp               |  419 ++++++----
 inst/include/xtl/xtl_config.hpp                       |    4 
 inst/include/xtl/xtype_traits.hpp                     |   57 +
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 inst/lib/cmake/xtensor-r/xtensor-rConfigVersion.cmake |    2 
 inst/lib/cmake/xtensor/xtensorConfigVersion.cmake     |    2 
 inst/lib/cmake/xtl/xtlConfigVersion.cmake             |    2 
 inst/lib/pkgconfig/xtensor.pc                         |    2 
 72 files changed, 2740 insertions(+), 1658 deletions(-)

More information about xtensor at CRAN
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Package sugrrants updated to version 0.1.1 with previous version 0.1.0 dated 2017-07-28

Title: Supporting Graphs for Analysing Time Series
Description: Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.
Author: Earo Wang [aut, cre], Di Cook [aut, ths], Rob Hyndman [aut, ths]
Maintainer: Earo Wang <earo.wang@gmail.com>

Diff between sugrrants versions 0.1.0 dated 2017-07-28 and 0.1.1 dated 2017-11-10

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 sugrrants-0.1.1/sugrrants/NEWS.md                        |   11 ++++
 sugrrants-0.1.1/sugrrants/R/calendar-fun.R               |    6 +-
 sugrrants-0.1.1/sugrrants/R/frame-calendar.R             |   38 ++++++++-------
 sugrrants-0.1.1/sugrrants/R/holiday.R                    |   12 ++--
 sugrrants-0.1.1/sugrrants/R/imports.R                    |    2 
 sugrrants-0.1.1/sugrrants/R/reexports.R                  |    2 
 sugrrants-0.1.1/sugrrants/README.md                      |   18 +++++--
 sugrrants-0.1.1/sugrrants/build/vignette.rds             |binary
 sugrrants-0.1.1/sugrrants/man/au_holiday.Rd              |   12 ++--
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 sugrrants-0.1.1/sugrrants/man/frame-calendar.Rd          |   17 +++---
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 17 files changed, 94 insertions(+), 71 deletions(-)

More information about sugrrants at CRAN
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Package Crossover updated to version 0.1-17 with previous version 0.1-16 dated 2016-09-23

Title: Analysis and Search of Crossover Designs
Description: Package Crossover provides different crossover designs from combinatorial or search algorithms as well as from literature and a GUI to access them.
Author: Kornelius Rohmeyer
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

Diff between Crossover versions 0.1-16 dated 2016-09-23 and 0.1-17 dated 2017-11-10

 DESCRIPTION                       |    6 +++---
 MD5                               |   17 +++++++++--------
 NAMESPACE                         |    2 +-
 NEWS                              |    5 +++++
 R/functionsTestsAndExploring.R    |    2 +-
 build/vignette.rds                |binary
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 java/org/mutoss/gui/RControl.java |    7 +++----
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 tests/testthat/test-r-vs-c.R      |   10 +++++-----
 10 files changed, 27 insertions(+), 22 deletions(-)

More information about Crossover at CRAN
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Package rGoodData updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-22

Title: GoodData API Client Package
Description: Export raw reports from 'GoodData' business intelligence platform (see <http://www.gooddata.com> for more information).
Author: Bulat Yapparov [aut, cre]
Maintainer: Bulat Yapparov <byapparov@gmail.com>

Diff between rGoodData versions 0.1.0 dated 2017-03-22 and 0.1.1 dated 2017-11-10

 rGoodData-0.1.0/rGoodData/tests/testthat/test.com/gdc/app/projects/dummy/execute/raw-POST.json        |only
 rGoodData-0.1.1/rGoodData/DESCRIPTION                                                                 |    6 ++--
 rGoodData-0.1.1/rGoodData/MD5                                                                         |   15 +++++-----
 rGoodData-0.1.1/rGoodData/R/login.R                                                                   |    2 +
 rGoodData-0.1.1/rGoodData/R/report.R                                                                  |    4 ++
 rGoodData-0.1.1/rGoodData/R/request.R                                                                 |    7 ++++
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 rGoodData-0.1.1/rGoodData/tests/testthat/test.login.R                                                 |    4 +-
 rGoodData-0.1.1/rGoodData/tests/testthat/test.report.export.R                                         |    6 ++--
 10 files changed, 29 insertions(+), 15 deletions(-)

More information about rGoodData at CRAN
Permanent link

Package ragt2ridges updated to version 0.3.0 with previous version 0.2.4 dated 2017-04-04

Title: Ridge Estimation of Vector Auto-Regressive (VAR) Processes
Description: The ragt2ridges-package provides ridge maximum likelihood estimation of vector auto-regressive processes: the VAR(1), VAR(2) and VARX(1) model (more to be added). Prior knowledge may be incorporated in the estimation through a) specification of the edges believed to be absent in the time series chain graph, and b) a shrinkage target towards which the parameter estimate is shrunken for large penalty parameter values. Estimation functionality is accompanied by methodology for penalty parameter selection. In addition, the package offers supporting functionality for the exploitation of estimated models. Among others, i) a procedure to infer the support of the non-sparse ridge estimate (and thereby of the time series chain graph) is implemented, ii) a table of node-wise network summary statistics, iii) mutual information analysis, and iv) impulse response analysis. Cf. Miok et al. (2017) <DOI:10.1002/bimj.201500269> and follow-up work for details on the implemented methods.
Author: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

Diff between ragt2ridges versions 0.2.4 dated 2017-04-04 and 0.3.0 dated 2017-11-10

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 ragt2ridges-0.3.0/ragt2ridges/R/createA.R                        |  285 +++--
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More information about ragt2ridges at CRAN
Permanent link

Package NanoStringNorm updated to version 1.2.0 with previous version 1.1.21 dated 2015-11-18

Title: Normalize NanoString miRNA and mRNA Data
Description: A set of tools for normalizing, diagnostics and visualization of NanoString nCounter data.
Author: Daryl M. Waggott
Maintainer: Paul Boutros <Paul.Boutros@oicr.on.ca>

Diff between NanoStringNorm versions 1.1.21 dated 2015-11-18 and 1.2.0 dated 2017-11-10

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 NanoStringNorm-1.2.0/NanoStringNorm/DESCRIPTION                                                                           |   11 -
 NanoStringNorm-1.2.0/NanoStringNorm/MD5                                                                                   |   90 +++++-----
 NanoStringNorm-1.2.0/NanoStringNorm/NAMESPACE                                                                             |    5 
 NanoStringNorm-1.2.0/NanoStringNorm/NEWS                                                                                  |   13 +
 NanoStringNorm-1.2.0/NanoStringNorm/R/NanoStringNorm.R                                                                    |    8 
 NanoStringNorm-1.2.0/NanoStringNorm/R/code.count.normalization.R                                                          |   18 +-
 NanoStringNorm-1.2.0/NanoStringNorm/R/read.markup.RCC.R                                                                   |   65 +++++--
 NanoStringNorm-1.2.0/NanoStringNorm/R/read.xls.RCC.R                                                                      |    2 
 NanoStringNorm-1.2.0/NanoStringNorm/R/sample.content.normalization.R                                                      |   20 +-
 NanoStringNorm-1.2.0/NanoStringNorm/build/vignette.rds                                                                    |binary
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Package ISOpureR updated to version 1.1.0 with previous version 1.0.21 dated 2016-08-22

Title: Deconvolution of Tumour Profiles
Description: Deconvolution of mixed tumour profiles into normal and cancer for each patient, using the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires mixed tumour profiles and a set of unmatched "basis" normal profiles.
Author: Gerald Quon [aut], Catalina V Anghel [aut, trl], Syed Haider [aut], Francis Nguyen [aut], Amit G Deshwar [aut], Quaid D Morris [aut], Paul C Boutros [aut, cre]
Maintainer: Paul C Boutros <Paul.Boutros@oicr.on.ca>

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Package mvord updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-17

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods.
Author: Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb] (Fortran Code)
Maintainer: Rainer Hirk <rhirk@wu.ac.at>

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Package sspse updated to version 0.5-3 with previous version 0.5-2 dated 2017-09-16

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923> and Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>.
Author: Mark S. Handcock [aut, cre, cph], Krista J. Gile [aut, cph]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between sspse versions 0.5-2 dated 2017-09-16 and 0.5-3 dated 2017-11-10

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New package PSM with initial version 0.8-11
Package: PSM
Type: Package
Title: Non-Linear Mixed-Effects Modelling using Stochastic Differential Equations
Version: 0.8-11
Date: 2017-11-03
Encoding: latin1
Author: Stig Bousgaard Mortensen <stigbm@gmail.com>, Søren Klim <soren@klimens.dk>
Maintainer: Robert Miller <robert.miller@tu-dresden.de>
Imports: deSolve, graphics, MASS, numDeriv, stats, ucminf
Suggests: datasets
Description: Functions for fitting linear and non-linear mixed-effects models using stochastic differential equations (SDEs). The provided pipeline relies on the coupling of the FOCE algorithm and Kalman filtering as outlined by Klim et al (2009) <doi:10.1016/j.cmpb.2009.02.001> and has been validated against the proprietary software NONMEM (Tornøe et al, 2005, <doi:10.1007/s11095-005-5269-5>). Further functions are provided for finding smoothed estimates of model states and for simulation. The package allows for any multivariate non-linear time-variant model to be specified, and it also handles multidimensional input, covariates, missing observations, and specification of dosage regimen.
License: GPL (>= 2)
URL: http://www.imm.dtu.dk/psm
NeedsCompilation: yes
Packaged: 2017-11-03 15:05:42 UTC; bob
Repository: CRAN
Date/Publication: 2017-11-03 16:08:29

More information about PSM at CRAN
Permanent link

Package PdPDB updated to version 2.0.1 with previous version 1.0 dated 2016-11-18

Title: Pattern Discovery in PDB Structures of Metalloproteins
Description: Looks for amino acid and/or nucleotide patterns and/or small ligands coordinated to a given prosthetic centre. Files have to be in the local file system and contain proper extension.
Author: Luca Belmonte <luca.belmonte@unimore.it>, Sheref S. Mansy <sheref.mansy@unitn.it>
Maintainer: Luca Belmonte <luca.belmonte@unimore.it>

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Package openssl updated to version 0.9.9 with previous version 0.9.8 dated 2017-11-03

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [cre, aut], Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 0.9.8 dated 2017-11-03 and 0.9.9 dated 2017-11-10

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Package memuse updated to version 4.0-0 with previous version 3.0-1 dated 2016-09-19

Title: Memory Estimation Utilities
Description: How much ram do you need to store a 100,000 by 100,000 matrix? How much ram is your current R session using? How much ram do you even have? Learn the scintillating answer to these and many more such questions with the 'memuse' package.
Author: Drew Schmidt [aut, cre], Christian Heckendorf [ctb] (FreeBSD improvements to meminfo), Wei-Chen Chen [ctb] (Windows build fixes), Dan Burgess [ctb] (donation of a Mac for development and testing)
Maintainer: Drew Schmidt <wrathematics@gmail.com>

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Package geojsonio updated to version 0.5.0 with previous version 0.4.2 dated 2017-09-01

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojsonio versions 0.4.2 dated 2017-09-01 and 0.5.0 dated 2017-11-10

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Package fastrtext updated to version 0.2.3 with previous version 0.2.2 dated 2017-11-06

Title: 'fastText' Wrapper for Text Classification and Word Representation
Description: Learning text representations and text classifiers may rely on the same simple and efficient approach. 'fastText' is an open-source, free, lightweight library that allows users to perform both tasks. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.
Author: Michaël Benesty [aut, cre, cph], Facebook, Inc [cph]
Maintainer: Michaël Benesty <michael@benesty.fr>

Diff between fastrtext versions 0.2.2 dated 2017-11-06 and 0.2.3 dated 2017-11-10

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New package TempleMetrics with initial version 1.0.0
Package: TempleMetrics
Title: Estimating Conditional Distributions
Version: 1.0.0
Authors@R: c( person("Brantly", "Callaway", email = "brantly.callaway@temple.edu", role = c("aut","cre")), person("Weige", "Huang", email = "weige.huang@temple.edu", role=c("aut")))
Description: Estimates conditional distributions and conditional quantiles. The versions of the methods in this package are primarily for use in multiple step procedures where the first step is to estimate a conditional distribution. In particular, there are functions for implementing distribution regression. Distribution regression provides a way to flexibly model the distribution of some outcome Y conditional on covariates X without imposing parametric assumptions on the conditional distribution but providing more structure than fully nonparametric estimation (See Foresi and Peracchi (1995) <doi:10.2307/2291056> and Chernozhukov, Fernandez-Val, and Melly (2013) <doi:10.3982/ECTA10582>).
Depends: R (>= 2.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-10 15:11:37 UTC; tug82594
Author: Brantly Callaway [aut, cre], Weige Huang [aut]
Maintainer: Brantly Callaway <brantly.callaway@temple.edu>
Repository: CRAN
Date/Publication: 2017-11-10 18:24:41 UTC

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Package spacyr updated to version 0.9.3 with previous version 0.9.0 dated 2017-05-20

Title: R Wrapper to the spaCy NLP Library
Description: An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <http://spacy.io>.
Author: Kenneth Benoit [aut, cre, cph], Akitaka Matsuo [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between spacyr versions 0.9.0 dated 2017-05-20 and 0.9.3 dated 2017-11-10

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Package RStoolbox updated to version 0.1.10 with previous version 0.1.9 dated 2017-08-28

Title: Tools for Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indices, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [cre, aut], Ned Horning [aut]
Maintainer: Benjamin Leutner <benjamin.leutner@uni-wuerzburg.de>

Diff between RStoolbox versions 0.1.9 dated 2017-08-28 and 0.1.10 dated 2017-11-10

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Package mockery updated to version 0.4.1 with previous version 0.4.0 dated 2017-11-07

Title: Mocking Library for R
Description: The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the testthat package.
Author: Noam Finkelstein [aut, cre], Lukasz Bartnik [aut]
Maintainer: Noam Finkelstein <noam.finkelstein@jhu.edu>

Diff between mockery versions 0.4.0 dated 2017-11-07 and 0.4.1 dated 2017-11-10

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New package inlabru with initial version 2.1.1
Package: inlabru
Type: Package
Title: Spatial Inference using Integrated Nested Laplace Approximation
Version: 2.1.1
Date: 2017-11-08
Author: Fabian E. Bachl <bachlfab@gmail.com> (main code), Finn Lindgren <Finn.Lindgren@ed.ac.uk> (SPDE posterior plotting), David L. Borchers <dlb@st-andrews.ac.uk> (Gorilla data import and sampling, multiplot tool), Daniel Simpson <dp.simpson@gmail.com> (basic LGCP sampling method), Lindesay Scott-Hayward <lass@@st-andrews.ac.uk> (MRSea data import)
Maintainer: Fabian E. Bachl <bachlfab@gmail.com>
URL: http://www.inlabru.org,
Description: Facilitates spatial modeling using integrated nested Laplace approximation via the INLA package (<http://www.r-inla.org>). Additionally, implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. See Yuan Yuan, Fabian E. Bachl, Finn Lindgren, David L. Borchers, Janine B. Illian, Stephen T. Buckland, Havard Rue, Tim Gerrodette (2017), <arXiv:1604.06013>.
License: GPL (>= 2)
Imports: rgdal, rgeos, utils
Suggests: testthat, ggmap, rgl, sphereplot, raster, Matrix, dplyr, maptools, mgcv, shiny, spatstat, spatstat.data, RColorBrewer, graphics
Depends: R (>= 3.3), INLA, sp, stats, methods, ggplot2,
Additional_repositories: https://www.math.ntnu.no/inla/R/testing
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-10 11:49:14 UTC; fbachl
Repository: CRAN
Date/Publication: 2017-11-10 18:16:14 UTC

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Package rLDCP updated to version 1.0.2 with previous version 1.0.1 dated 2017-02-09

Title: Text Generation from Data
Description: Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.
Author: Patricia Conde-Clemente [aut, cre], Jose M. Alonso [aut], Gracian Trivino [aut]
Maintainer: Patricia Conde-Clemente <patricia.condeclemente@gmail.com>

Diff between rLDCP versions 1.0.1 dated 2017-02-09 and 1.0.2 dated 2017-11-10

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Package IsoplotR updated to version 1.0 with previous version 0.18 dated 2017-09-29

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotR versions 0.18 dated 2017-09-29 and 1.0 dated 2017-11-10

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More information about IsoplotR at CRAN
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Package sound updated to version 1.4.5 with previous version 1.4.4 dated 2016-05-12

Title: A Sound Interface for R
Description: Basic functions for dealing with wav files and sound samples.
Author: Matthias Heymann <mail@MatthiasHeymann.de>
Maintainer: Stefan Langenberg <langenberg@uni-bonn.de>

Diff between sound versions 1.4.4 dated 2016-05-12 and 1.4.5 dated 2017-11-10

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Package climwin updated to version 1.2.0 with previous version 1.1.0 dated 2016-12-20

Title: Climate Window Analysis
Description: Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response.
Author: Liam D. Bailey and Martijn van de Pol
Maintainer: Liam D. Bailey <liam.bailey@anu.edu.au>

Diff between climwin versions 1.1.0 dated 2016-12-20 and 1.2.0 dated 2017-11-10

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Package AID updated to version 2.3 with previous version 2.2 dated 2017-07-18

Title: Box-Cox Power Transformation
Description: Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.
Author: Osman Dag [aut, cre], Ozgur Asar [aut], Ozlem Ilk [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between AID versions 2.2 dated 2017-07-18 and 2.3 dated 2017-11-10

 DESCRIPTION     |    8 ++++----
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Package StAMPP updated to version 1.5.1 with previous version 1.4 dated 2015-07-06

Title: Statistical Analysis of Mixed Ploidy Populations
Description: Allows users to calculate pairwise Nei's Genetic Distances (Nei 1972), pairwise Fixation Indexes (Fst) (Weir & Cockerham 1984) and also Genomic Relationship matrixes following Yang et al. (2010) in mixed and single ploidy populations. Bootstrapping across loci is implemented during Fst calculation to generate confidence intervals and p-values around pairwise Fst values. StAMPP utilises SNP genotype data of any ploidy level (with the ability to handle missing data) and is coded to utilise multithreading where available to allow efficient analysis of large datasets. StAMPP is able to handle genotype data from genlight objects allowing integration with other packages such adegenet. Please refer to LW Pembleton, NOI Cogan & JW Forster, 2013, Molecular Ecology Resources, 13(5), 946-952. <doi:10.1111/1755-0998.12129> for the appropriate citation and user manual. Thank you in advance.
Author: LW Pembleton
Maintainer: LW Pembleton <luke.pembleton@ecodev.vic.gov.au>

Diff between StAMPP versions 1.4 dated 2015-07-06 and 1.5.1 dated 2017-11-10

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Package rmarkdown updated to version 1.7 with previous version 1.6 dated 2017-06-15

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (0000-0003-0645-5666), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Jeff Allen [ctb], Roy Storey [ctb], Rob Hyndman [ctb], Ruben Arslan [ctb], RStudio, Inc. [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 1.6 dated 2017-06-15 and 1.7 dated 2017-11-10

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 rmarkdown-1.7/rmarkdown/R/pandoc.R                                                   |   26 +-
 rmarkdown-1.7/rmarkdown/R/params.R                                                   |   18 +
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Package furniture updated to version 1.7.2 with previous version 1.6.0 dated 2017-09-16

Title: Furniture for Quantitative Scientists
Description: Contains three main functions (i.e., three pieces of furniture): table1() which produces a well-formatted table of descriptives common as Table 1 in research articles, tableC() which produces a well-formatted table of correlations, and washer() which is helpful in cleaning up the data. In addition, long() and wide(), built on the stats::reshape(), can help reformat the data. These furniture functions are designed to simplify common tasks in quantitative analysis. Other data summary and cleaning tools are also available.
Author: Tyson S. Barrett [aut, cre] (0000-0002-2137-1391), Emily Brignone [aut], Daniel J. Laxman [aut]
Maintainer: Tyson S. Barrett <t.barrett@aggiemail.usu.edu>

Diff between furniture versions 1.6.0 dated 2017-09-16 and 1.7.2 dated 2017-11-10

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Package FactoMineR updated to version 1.39 with previous version 1.38 dated 2017-10-07

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017) <DOI:10.1201/b10345-2>.
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>

Diff between FactoMineR versions 1.38 dated 2017-10-07 and 1.39 dated 2017-11-10

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New package CoordinateCleaner with initial version 1.0-2
Package: CoordinateCleaner
Type: Package
Title: Automated Cleaning of Occurrence Records from Biological Collections
Version: 1.0-2
Date: 2017-11-10
Authors@R: c(person(given = "Alexander", family = "Zizka", email = "alexander.zizka@bioenv.gu.se", role = c("aut", "cre")), person(given = "Daniele", family = "Silvestro", role = c("ctb")))
Description: Automated cleaning of geographic species occurrence records by automated flagging of problems common to biodiversity data from biological collections. Includes automated tests to easily flag (and exclude) records assigned to country or province centroid, the open ocean, the headquarters of the Global Biodiversity Information Facility, urban areas or the location of biodiversity institutions (museums, zoos, botanical gardens, universities). Furthermore identifies per species outlier coordinates, zero coordinates, identical latitude/longitude and invalid coordinates. Also implements an algorithm to identify data sets with a significant proportion of rounded coordinates. Especially suited for large data sets. See <https://github.com/azizka/CoordinateCleaner/wiki> for more details and tutorials.
License: GPL-3
Depends: R (>= 3.0.0), sp
Imports: geosphere, ggplot2, methods, raster, rgeos, rnaturalearth, stats
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-10 10:12:55 UTC; alexander.zizka
Author: Alexander Zizka [aut, cre], Daniele Silvestro [ctb]
Maintainer: Alexander Zizka <alexander.zizka@bioenv.gu.se>
Repository: CRAN
Date/Publication: 2017-11-10 11:47:13 UTC

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Package berryFunctions updated to version 1.16.3 with previous version 1.16.0 dated 2017-11-03

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between berryFunctions versions 1.16.0 dated 2017-11-03 and 1.16.3 dated 2017-11-10

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New package quokar with initial version 0.1.0
Package: quokar
Title: Quantile Regression Outlier Diagnostics with K Left Out Analysis
Version: 0.1.0
Author: Wenjing Wang <wenjingwangr@gmail.com>, Di Cook <visnut@gmail.com>, Earo Wang <earo.wang@gmail.com>
Maintainer: Wenjing Wang <wenjingwangr@gmail.com>
Description: Diagnostics methods for quantile regression models for detecting influential observations: robust distance methods for general quantile regression models; generalized Cook's distance and Q-function distance method for quantile regression models using aymmetric Laplace distribution. Reference of this method can be found in Luis E. Benites, Víctor H. Lachos, Filidor E. Vilca (2015) <arXiv:1509.05099v1>; mean posterior probability and Kullback–Leibler divergence methods for Bayes quantile regression model. Reference of this method is Bruno Santos, Heleno Bolfarine (2016) <arXiv:1601.07344v1>.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, quantreg, purrr, magrittr, ALDqr, bayesQR, MCMCpack, ggplot2, knitr, gridExtra, GIGrvg, dplyr, tidyr, robustbase, ald
Type: Package
NeedsCompilation: yes
LazyLoad: false
VignetteBuilder: knitr
RoxygenNote: 6.0.1
URL: https://github.com/wenjingwang/quokar
BugReports: https://github.com/wenjingwang/quokar/issues
LazyData: true
Suggests: testthat, rmarkdown
Packaged: 2017-11-10 04:38:30 UTC; Thinkpad
Repository: CRAN
Date/Publication: 2017-11-10 10:21:36 UTC

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Package airGR updated to version 1.0.9.64 with previous version 1.0.5.12 dated 2017-01-23

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at Irstea-Antony (HBAN Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description.
Author: Laurent Coron [aut, trl], Charles Perrin [aut, ths], Olivier Delaigue [aut, cre], Guillaume Thirel [aut], Claude Michel [aut, ths], Vazken Andréassian [ctb, ths], François Bourgin [ctb] ('Parameter estimation' vignettes), Pierre Brigode [ctb], Nicolas Le Moine [ctb], Thibaut Mathevet [ctb], Safouane Mouelhi [ctb], Ludovic Oudin [ctb], Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@irstea.fr>

Diff between airGR versions 1.0.5.12 dated 2017-01-23 and 1.0.9.64 dated 2017-11-10

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 99 files changed, 2992 insertions(+), 1386 deletions(-)

More information about airGR at CRAN
Permanent link

New package railtrails with initial version 0.0.1
Package: railtrails
Title: Rail Trail Data for Trails in the United States from the Rails-to-Trails
Version: 0.0.1
Authors@R: person("Joshua", "Rosenberg", email = "jmichaelrosenberg@gmail.com", role = c("aut", "cre"))
Description: Rail trail data from the excellent 'TrailLink' website, sponsored by the Rails-to-Trails Conservancy <https://www.traillink.com/>. Includes information (such as name, length, surface, and reviews) about more than 11,000 trails in every state in the United States. Data can be used to better recreational trail use in the United States.
Depends: R (>= 3.4.1)
License: CC0
Encoding: UTF-8
LazyData: true
Imports: tibble
Suggests: tidyr, knitr, rmarkdown
URL: https://github.com/jrosen48/railtrail
BugReports: https://github.com/jrosen48/railtrail/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-09 19:17:10 UTC; joshuarosenberg
Author: Joshua Rosenberg [aut, cre]
Maintainer: Joshua Rosenberg <jmichaelrosenberg@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-10 09:21:52 UTC

More information about railtrails at CRAN
Permanent link

New package parSim with initial version 0.1
Package: parSim
Type: Package
Title: Parallel Simulation Studies
Version: 0.1
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>
Description: Perform flexible simulation studies using one or multiple computer cores. The package is set up to be usable on high-performance clusters in addition to being run locally, see examples on <https://github.com/SachaEpskamp/parSim>.
Imports: dplyr, parallel, methods
Suggests: ggplot2, tidyr
License: GPL-2
NeedsCompilation: no
Packaged: 2017-11-09 22:50:11 UTC; sachaepskamp
Repository: CRAN
Date/Publication: 2017-11-10 09:35:37 UTC

More information about parSim at CRAN
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Package Infusion updated to version 1.1.8 with previous version 1.1.0 dated 2017-03-24

Title: Inference Using Simulation
Description: Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated (Rousset et al. 2017 <doi:10.1111/1755-0998.12627>).
Author: François Rousset [aut, cre, cph]
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

Diff between Infusion versions 1.1.0 dated 2017-03-24 and 1.1.8 dated 2017-11-10

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More information about Infusion at CRAN
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New package GWASinlps with initial version 1.0
Package: GWASinlps
Type: Package
Title: Nonlocal Prior Based SNP Selection Tool for Genome-Wide Association Studies
Version: 1.0
Date: 2017-11-09
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nisanyal@ucsd.edu"))
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nisanyal@ucsd.edu>
Depends: mombf
Suggests: glmnet
Description: Performs variable selection and prediction with data from Genome-wide association studies (GWAS) using non-local prior based Bayesian general linear model as described in Sanyal et al. (2017) [submitted to Bioinformatics].
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2017-11-09 19:02:05 UTC; nilotpalsanyal
Repository: CRAN
Date/Publication: 2017-11-10 09:19:47 UTC

More information about GWASinlps at CRAN
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Package dataMaid updated to version 1.0.0 with previous version 0.9.2 dated 2017-01-02

Title: A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process
Description: Data screening is an important first step of any statistical analysis. dataMaid autogenerates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset.
Author: Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>

Diff between dataMaid versions 0.9.2 dated 2017-01-02 and 1.0.0 dated 2017-11-10

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Permanent link

New package ctmle with initial version 0.1.1
Package: ctmle
Type: Package
Title: Collaborative Targeted Maximum Likelihood Estimation
Version: 0.1.1
Date: 2017-11-01
Authors@R: c(person("Cheng", "Ju", email = "jucheng1992@gmail.com", role = c("aut", "cre")),person("Susan", "Gruber", role = c("aut")),person("Richard", "Wyss", role = c("ctb")),person("Jenny","Haggstrom", role = c("ctb")),person("Mark", "van der Laan", role = c("aut", "ths")))
Maintainer: Cheng Ju <jucheng1992@gmail.com>
Description: Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <arXiv:1706.10029>).
License: GPL-2
Depends: R (>= 2.14.0), SuperLearner, tmle, glmnet, stats
Imports:
Suggests: testthat, knitr, rmarkdown, dplyr
LazyLoad: yes
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-10 00:56:46 UTC; jucheng
Author: Cheng Ju [aut, cre], Susan Gruber [aut], Richard Wyss [ctb], Jenny Haggstrom [ctb], Mark van der Laan [aut, ths]
Repository: CRAN
Date/Publication: 2017-11-10 09:59:50 UTC

More information about ctmle at CRAN
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