Tue, 16 Jan 2018

Package rGroovy updated to version 1.2 with previous version 1.0 dated 2015-10-31

Title: Groovy Language Integration
Description: Integrates the Groovy scripting language with the R Project for Statistical Computing.
Author: Thomas P. Fuller <thomas.fuller@coherentlogic.com>
Maintainer: Thomas P. Fuller <thomas.fuller@coherentlogic.com>

Diff between rGroovy versions 1.0 dated 2015-10-31 and 1.2 dated 2018-01-16

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 rGroovy-1.2/rGroovy/NEWS                          |   18 
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Package jmv updated to version 0.8.1.14 with previous version 0.8.1.11 dated 2017-12-07

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker, Jonathon Love, Damian Dropmann
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 0.8.1.11 dated 2017-12-07 and 0.8.1.14 dated 2018-01-16

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Package optmatch updated to version 0.9-8 with previous version 0.9-7 dated 2016-12-29

Title: Functions for Optimal Matching
Description: Distance based bipartite matching using the RELAX-IV minimum cost flow solver, oriented to matching of treatment and control groups in observational studies. Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Author: Ben B. Hansen <ben.hansen@umich.edu>, Mark Fredrickson <mark.m.fredrickson@gmail.com>, Josh Buckner, Josh Errickson, and Peter Solenberger, with embedded Fortran code due to Dimitri P. Bertsekas <dimitrib@mit.edu> and Paul Tseng
Maintainer: Mark M. Fredrickson <mark.m.fredrickson@gmail.com>

Diff between optmatch versions 0.9-7 dated 2016-12-29 and 0.9-8 dated 2018-01-16

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 optmatch-0.9-8/optmatch/DESCRIPTION                                         |    8 
 optmatch-0.9-8/optmatch/MD5                                                 |  185 ++++---
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 optmatch-0.9-8/optmatch/R/Optmatch-package.R                                |    2 
 optmatch-0.9-8/optmatch/R/Optmatch.R                                        |    8 
 optmatch-0.9-8/optmatch/R/RcppExports.R                                     |    8 
 optmatch-0.9-8/optmatch/R/boxplotMethods.R                                  |   35 +
 optmatch-0.9-8/optmatch/R/exactMatch.R                                      |   13 
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 optmatch-0.9-8/optmatch/tests/testthat/test.makedist.R                      |   17 
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 optmatch-0.9-8/optmatch/tests/testthat/test.rank.mahal.R                    |   72 ++-
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 96 files changed, 1253 insertions(+), 448 deletions(-)

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Package optimus updated to version 0.2.0 with previous version 0.1.0 dated 2017-03-24

Title: Model Based Diagnostics for Multivariate Cluster Analysis
Description: Assessment and diagnostics for comparing competing clustering solutions, using predictive models. The main intended use is for comparing clustering/classification solutions of ecological data (e.g. presence/absence, counts, ordinal scores) to 1) find an optimal partitioning solution, 2) identify characteristic species and 3) refine a classification by merging clusters that increase predictive performance. However, in a more general sense, this package can do the above for any set of clustering solutions for i observations of j variables.
Author: Mitchell Lyons [aut, cre]
Maintainer: Mitchell Lyons <mitchell.lyons@gmail.com>

Diff between optimus versions 0.1.0 dated 2017-03-24 and 0.2.0 dated 2018-01-16

 DESCRIPTION                        |    8 -
 MD5                                |   30 +++---
 NEWS.md                            |    9 +
 R/find_optimal.R                   |   10 +-
 R/get_characteristic.R             |   19 ++-
 R/merge_clusters.R                 |   10 +-
 R/plot.aicsums.R                   |  120 ++++++++++++------------
 README.md                          |   39 ++++---
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 tests/testthat/test-find_optimal.R |  181 +++++++++++++++++++++++--------------
 16 files changed, 279 insertions(+), 212 deletions(-)

More information about optimus at CRAN
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Package textTinyR updated to version 1.0.9 with previous version 1.0.8 dated 2017-10-31

Title: Text Processing for Small or Big Data Files
Description: Processes big text data files in batches efficiently. For this purpose, it offers functions for splitting, parsing, tokenizing and creating a vocabulary. Moreover, it includes functions for building either a document-term matrix or a term-document matrix and extracting information from those (term-associations, most frequent terms). Lastly, it embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between textTinyR versions 1.0.8 dated 2017-10-31 and 1.0.9 dated 2018-01-16

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 textTinyR-1.0.9/textTinyR/DESCRIPTION                                                        |    8 -
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 textTinyR-1.0.9/textTinyR/NEWS.md                                                            |    6 -
 textTinyR-1.0.9/textTinyR/R/RcppExports.R                                                    |    8 +
 textTinyR-1.0.9/textTinyR/R/utils.R                                                          |   59 +++++++++-
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Package dawai updated to version 1.2.3 with previous version 1.2.2 dated 2017-10-12

Title: Discriminant Analysis with Additional Information
Description: In applications it is usual that some additional information is available. This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also computes several estimations of the true error rate.
Author: David Conde, Miguel A. Fernandez, Bonifacio Salvador
Maintainer: David Conde <dconde@eio.uva.es>

Diff between dawai versions 1.2.2 dated 2017-10-12 and 1.2.3 dated 2018-01-16

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 7 files changed, 23 insertions(+), 18 deletions(-)

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Package SSN updated to version 1.1.11 with previous version 1.1.10 dated 2017-04-12

Title: Spatial Modeling on Stream Networks
Description: Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance. Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
Author: Jay Ver Hoef and Erin Peterson
Maintainer: Jay Ver Hoef <ver.hoef@SpatialStreamNetworks.com>

Diff between SSN versions 1.1.10 dated 2017-04-12 and 1.1.11 dated 2018-01-16

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Package sentimentr updated to version 2.2.3 with previous version 2.0.1 dated 2017-11-27

Title: Calculate Text Polarity Sentiment
Description: Calculate text polarity sentiment at the sentence level and optionally aggregate by rows or grouping variable(s).
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between sentimentr versions 2.0.1 dated 2017-11-27 and 2.2.3 dated 2018-01-16

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 sentimentr-2.2.3/sentimentr/DESCRIPTION                                                |   14 
 sentimentr-2.2.3/sentimentr/MD5                                                        |  104 ++-
 sentimentr-2.2.3/sentimentr/NAMESPACE                                                  |   11 
 sentimentr-2.2.3/sentimentr/NEWS                                                       |   53 +
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 sentimentr-2.2.3/sentimentr/R/get_sentences.R                                          |    6 
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 sentimentr-2.2.3/sentimentr/R/textclean_reexports.R                                    |   18 
 sentimentr-2.2.3/sentimentr/R/utils.R                                                  |   21 
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 sentimentr-2.2.3/sentimentr/man/validate_sentiment.Rd                                  |   12 
 sentimentr-2.2.3/sentimentr/tests/testthat/test-extract_sentiment_terms.R              |    2 
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New package prrd with initial version 0.0.1
Package: prrd
Type: Package
Title: Parallel Runs of Reverse Depends
Version: 0.0.1
Date: 2018-01-09
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: Reverse depends for a given package are queued such that multiple workers can run the tests in parallel.
License: GPL (>= 2)
Imports: config, liteq, data.table, crayon, DBI, RSQLite
Suggests: docopt
SystemRequirements: A 'wget' binary in the PATH.
OS_type: unix
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-09 12:03:13.536318 UTC; edd
Repository: CRAN
Date/Publication: 2018-01-16 18:03:22 UTC

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Package OpenImageR updated to version 1.0.8 with previous version 1.0.7 dated 2017-10-30

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform and the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library.
Author: Lampros Mouselimis [aut, cre], Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between OpenImageR versions 1.0.7 dated 2017-10-30 and 1.0.8 dated 2018-01-16

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Package LPM updated to version 2.7 with previous version 2.6 dated 2015-11-05

Title: Linear Parametric Models Applied to Hydrological Series
Description: Apply Univariate Long Memory Models, Apply Multivariate Short Memory Models To Hydrological Dataset, Estimate Intensity Duration Frequency curve to rainfall series.
Author: Corrado Tallerini [aut, cre], Salvatore Grimaldi [aut]
Maintainer: Corrado Tallerini <corrado.tallerini@vodafone.it>

Diff between LPM versions 2.6 dated 2015-11-05 and 2.7 dated 2018-01-16

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Package ks updated to version 1.11.0 with previous version 1.10.7 dated 2017-07-02

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, classification (discriminant analysis), significant modal regions and two-sample hypothesis testing.
Author: Tarn Duong <tarn.duong@gmail.com>
Maintainer: Tarn Duong <tarn.duong@gmail.com>

Diff between ks versions 1.10.7 dated 2017-07-02 and 1.11.0 dated 2018-01-16

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Package KernelKnn updated to version 1.0.8 with previous version 1.0.7 dated 2017-11-30

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between KernelKnn versions 1.0.7 dated 2017-11-30 and 1.0.8 dated 2018-01-16

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Package httptest updated to version 3.0.0 with previous version 2.3.4 dated 2017-11-13

Title: A Test Environment for HTTP Requests
Description: Testing and documenting code that communicates with remote servers can be painful. Dealing with authentication, server state, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three contexts that mock the network connection in different ways, as well as testing functions to assert that HTTP requests were---or were not---made. It also allows one to safely record real API responses to use as test fixture. The ability to save responses and load them offline also enables one to write vignettes and other dynamic documents that can be distributed without access to a live server.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

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Package adespatial updated to version 0.1-1 with previous version 0.1-0 dated 2017-12-18

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Author: Stéphane Dray, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>

Diff between adespatial versions 0.1-0 dated 2017-12-18 and 0.1-1 dated 2018-01-16

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Package StatCharrms updated to version 0.90.7 with previous version 0.90.6 dated 2017-11-08

Title: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies
Description: A front end for the statistical analyses involved in the tier II endocrine disruptor screening program. The analyses available to this package are: Rao-Scott adjusted Cochran-Armitage test for trend By Slices (RSCABS), a Standard Cochran-Armitage test for trend By Slices (SCABS), mixed effects Cox proportional model, Jonckheere-Terpstra step down trend test Dunn test, one way ANOVA, weighted ANOVA, mixed effects ANOVA, repeated measures ANOVA, and Dunnett test.
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb], Jon Haselman [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>

Diff between StatCharrms versions 0.90.6 dated 2017-11-08 and 0.90.7 dated 2018-01-16

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Package mma updated to version 6.0-0 with previous version 5.0-1 dated 2017-09-22

Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis. The analysis method is described in Yu et al. (2014) <doi:10.4172/2155-6180.1000189> "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival", published on Journal of Biometrics & Biostatistics, 5(2):189; and Yu et al.(2017) <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

Diff between mma versions 5.0-1 dated 2017-09-22 and 6.0-0 dated 2018-01-16

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Package REddyProc (with last version 1.1) was removed from CRAN

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

2018-01-09 1.1

Permanent link
Package ROI.plugin.lpsolve updated to version 0.3-1 with previous version 0.3-0 dated 2017-10-22

Title: 'lp_solve' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the 'lp_solve' solver.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.lpsolve versions 0.3-0 dated 2017-10-22 and 0.3-1 dated 2018-01-16

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New package upwaver with initial version 1.0.0
Package: upwaver
Type: Package
Title: Access 'Upwave' API
Version: 1.0.0
Date: 2018-01-11
Author: Adrian Staempfli, Christoph Strauss, Fabian Leuthold, Michael Schmid
Maintainer: Adrian Staempfli <adrian.staempfli@fhsg.ch>
Description: 'Upwave' <https://www.upwave.io/> is a task management app organising tasks on boards and cards. 'upwaver' is a wrapper around the 'Upwave' API <https://upwavehq.github.io/api/> that allows listing and updating those boards and cards.
Imports: assertthat, httr, rjson, XLConnect
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-16 12:36:41 UTC; SCN
Repository: CRAN
Date/Publication: 2018-01-16 15:41:16 UTC

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Package tatoo updated to version 1.0.9 with previous version 1.0.8 dated 2017-10-10

Title: Combine and Export Data Frames
Description: Functions to combine data.frames in ways that require additional effort in base R, and to add metadata (id, title, ...) that can be used for printing and xlsx export. The 'Tatoo_report' class is provided as a convenient helper to write several such tables to a workbook, one table per worksheet.
Author: Stefan Fleck [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

Diff between tatoo versions 1.0.8 dated 2017-10-10 and 1.0.9 dated 2018-01-16

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New package palmtree with initial version 0.9-0
Package: palmtree
Title: Partially Additive (Generalized) Linear Model Trees
Date: 2018-01-15
Version: 0.9-0
Authors@R: c(person(given = "Heidi", family = "Seibold", role = c("aut", "cre"), email = "heidi@seibold.co", comment = c(ORCID = "0000-0002-8960-9642")), person(given = "Torsten", family = "Hothorn", role = "aut", email = "Torsten.Hothorn@R-project.org", comment = c(ORCID = "0000-0001-8301-0471")), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")))
Description: This is an implementation of model-based trees with global model parameters (PALM trees). The PALM tree algorithm is an extension to the MOB algorithm (implemented in the 'partykit' package), where some parameters are fixed across all groups. Details about the method can be found in Seibold, Hothorn, Zeileis (2016) <arXiv:1612.07498>. The package offers coef(), logLik(), plot(), and predict() functions for PALM trees.
Depends: R (>= 3.1.0), partykit
Imports: Formula (>= 1.2-1)
Suggests: mvtnorm, psychotools
License: GPL-2 | GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-16 09:58:44 UTC; heidi
Author: Heidi Seibold [aut, cre] (0000-0002-8960-9642), Torsten Hothorn [aut] (0000-0001-8301-0471), Achim Zeileis [aut] (0000-0003-0918-3766)
Maintainer: Heidi Seibold <heidi@seibold.co>
Repository: CRAN
Date/Publication: 2018-01-16 15:15:40 UTC

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Package npsf updated to version 0.3.0 with previous version 0.2.0 dated 2017-01-19

Title: Nonparametric and Stochastic Efficiency and Productivity Analysis
Description: Provides a variety of tools for nonparametric and parametric efficiency measurement.
Author: Oleg Badunenko [aut, cre], Yaryna Kolomiytseva [aut], Pavlo Mozharovskyi [aut]
Maintainer: Oleg Badunenko <oleg.badunenko@port.ac.uk>

Diff between npsf versions 0.2.0 dated 2017-01-19 and 0.3.0 dated 2018-01-16

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New package model4you with initial version 0.9-0
Package: model4you
Title: Stratified and Personalised Models Based on Model-Based Trees and Forests
Date: 2018-01-15
Version: 0.9-0
Authors@R: c(person(given = "Heidi", family = "Seibold", role = c("aut", "cre"), email = "heidi@seibold.co"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"), person(given = "Torsten", family = "Hothorn", role = "aut", email = "Torsten.Hothorn@R-project.org"))
Description: Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Depends: R (>= 3.1.0), partykit (>= 1.2-0), grid
Imports: sandwich, stats, ggplot2, Formula, gridExtra, survival
Suggests: mvtnorm, TH.data, psychotools, strucchange, plyr, knitr, ggbeeswarm, MASS
License: GPL-2 | GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-16 10:27:31 UTC; heidi
Author: Heidi Seibold [aut, cre], Achim Zeileis [aut], Torsten Hothorn [aut]
Maintainer: Heidi Seibold <heidi@seibold.co>
Repository: CRAN
Date/Publication: 2018-01-16 15:24:17 UTC

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Package ioncopy updated to version 2.0.1 with previous version 2.0 dated 2017-12-05

Title: Calling Copy Number Alterations in Amplicon Sequencing Data
Description: Method for the calculation of copy numbers and calling of copy number alterations. The algorithm uses coverage data from amplicon sequencing of a sample cohort as input. The method includes significance assessment, correction for multiple testing and does not depend on normal DNA controls. Budczies (2016 Mar 15) <doi:10.18632/oncotarget.7451>.
Author: Jan Budczies, Eva Romanovsky
Maintainer: Jan Budczies <jan.budczies@charite.de>

Diff between ioncopy versions 2.0 dated 2017-12-05 and 2.0.1 dated 2018-01-16

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Package GENEAclassify updated to version 1.4.8 with previous version 1.4.7 dated 2018-01-08

Title: Segmentation and Classification of Accelerometer Data
Description: Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://www.activinsights.com/products/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.
Author: Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut, cre], Activinsights Ltd [cph]
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>

Diff between GENEAclassify versions 1.4.7 dated 2018-01-08 and 1.4.8 dated 2018-01-16

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Package defrostR updated to version 1.1.0 with previous version 1.0.0 dated 2017-08-09

Title: An Amphibian Systematics Tool
Description: Provides a workflow for combining amphibian taxonomic data sets from different sources that use different taxonomic nomenclature, by suggesting the most current nomenclature used by the Amphibian Species of the World: an Online Reference, Frost (2017) <http://research.amnh.org/herpetology/amphibia/index.html> for a given input query of species names. It can also be used to extract specific systematic information (e.g. species downstream of a given taxonomic level).
Author: H. Christoph Liedtke
Maintainer: H. Christoph Liedtke <christoph.liedtke@ebd.csic.es>

Diff between defrostR versions 1.0.0 dated 2017-08-09 and 1.1.0 dated 2018-01-16

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New package nngeo with initial version 0.1.0
Package: nngeo
Type: Package
Title: k-Nearest Neighbor Join for Spatial Data
Version: 0.1.0
Authors@R: person("Michael", "Dorman", email = "dorman@post.bgu.ac.il", role = c("aut", "cre"))
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) function nn2() from package 'RANN' for projected point data, or (2) function st_distance() from package 'sf' for other types of spatial data.
Imports: geosphere, RANN, units, lwgeom
Depends: R (>= 3.2.3), sf (>= 0.6-0)
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
BugReports: https://github.com/michaeldorman/nngeo/issues
NeedsCompilation: no
Packaged: 2018-01-16 09:15:39 UTC; michael
Author: Michael Dorman [aut, cre]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>
Repository: CRAN
Date/Publication: 2018-01-16 14:43:24 UTC

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Package svars updated to version 1.1.0 with previous version 1.0.1 dated 2017-12-13

Title: Data-Driven Identification of SVAR Models
Description: Implements data-driven identification methods for structural vector autoregressive (SVAR) models. Based on an existing VAR model object (provided by e.g. VAR() from the 'vars' package), the structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon, R. (2003) <doi:10.1162/003465303772815727>), least dependent innovations (Herwartz, H., Ploedt, M., (2016) <doi:10.1016/j.jimonfin.2015.11.001>) or non-Gaussian maximum likelihood (Lanne, M., Meitz, M., Saikkonen, P. (2017) <doi:10.1016/j.jeconom.2016.06.002>).
Author: Alexander Lange [aut, cre], Bernhard Dalheimer [aut], Helmut Herwartz [aut], Simone Maxand [aut], Hannes Riebl [ctb]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

Diff between svars versions 1.0.1 dated 2017-12-13 and 1.1.0 dated 2018-01-16

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Package SPCAvRP updated to version 0.2 with previous version 0.1 dated 2017-12-20

Title: Sparse Principal Component Analysis via Random Projections (SPCAvRP)
Description: Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2017) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.
Author: Milana Gataric, Tengyao Wang and Richard J. Samworth
Maintainer: Milana Gataric <m.gataric@statslab.cam.ac.uk>

Diff between SPCAvRP versions 0.1 dated 2017-12-20 and 0.2 dated 2018-01-16

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New package simmer.bricks with initial version 0.1.0
Package: simmer.bricks
Type: Package
Title: Helper Methods for 'simmer' Trajectories
Version: 0.1.0
Authors@R: c( person("Iñaki", "Ucar", email="i.ucar86@gmail.com", role=c("aut", "cph", "cre"), comment=c(ORCID="0000-0001-6403-5550")))
Description: Provides wrappers for common activity patterns in 'simmer' trajectories.
License: MIT + file LICENSE
Encoding: UTF-8
URL: http://r-simmer.org, https://github.com/r-simmer/simmer.bricks
BugReports: https://github.com/r-simmer/simmer.bricks/issues
Depends: R (>= 3.1.2), simmer (>= 3.6.5)
Suggests: testthat, knitr, rmarkdown
ByteCompile: yes
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-15 16:19:14 UTC; inaki
Author: Iñaki Ucar [aut, cph, cre] (0000-0001-6403-5550)
Maintainer: Iñaki Ucar <i.ucar86@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-16 11:15:58 UTC

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New package searcher with initial version 0.0.2
Package: searcher
Title: Query Search Interfaces
Version: 0.0.2
Authors@R: c(person("James", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre")))
Description: Provides a search interface to look up terms on 'Google', 'Bing', 'DuckDuckGo', 'StackOverflow', 'GitHub', and 'BitBucket'. Upon searching, a browser window will open with the aforementioned search results.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2018-01-15 19:34:14 UTC; jjb
Author: James Balamuta [aut, cre]
Maintainer: James Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2018-01-16 11:12:08 UTC

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Package opencage updated to version 0.1.4 with previous version 0.1.2 dated 2017-05-12

Title: Interface to the OpenCage API
Description: Tool for accessing the OpenCage API, which provides forward geocoding (from placename to longitude and latitude) and reverse geocoding (from longitude and latitude to placename).
Author: Maëlle Salmon [aut, cre], Noam Ross [ctb], Julia Silge [rev] (Julia Silge reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/36.), Jake Russ [ctb], Daniel Possenriede [ctb]
Maintainer: Maëlle Salmon <maelle.salmon@yahoo.se>

Diff between opencage versions 0.1.2 dated 2017-05-12 and 0.1.4 dated 2018-01-16

 DESCRIPTION                                |   19 
 MD5                                        |   32 
 NEWS.md                                    |    8 
 R/forward_geocoding.R                      |   11 
 R/globalVariables.R                        |    2 
 R/reverse_geocoding.R                      |   17 
 R/utils.R                                  |  450 ++--
 build/vignette.rds                         |binary
 data/code_message.RData                    |binary
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 man/opencage_forward.Rd                    |    6 
 man/opencage_reverse.Rd                    |    6 
 tests/testthat/test-opencage_query_check.R |  292 +-
 vignettes/opencage.Rmd                     |  270 +-
 17 files changed, 2409 insertions(+), 1856 deletions(-)

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Package Jdmbs updated to version 1.1 with previous version 1.0 dated 2017-02-15

Title: Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
Description: Black-Scholes model [Black (1973) <doi:10.1086/260062>] is important to calculate option premiums in the stock market, and variety of improved models are studied. In this package, I propose methods in order to calculate both Black-Scholes model and Jump diffusion model [Kou (2002) <doi:10.1287/mnsc.48.8.1086.166>] by Monte Carlo methods. This package can be used for computational finance.
Author: Masashi Okada [aut, cre]
Maintainer: Masashi Okada <okadaalgorithm@gmail.com>

Diff between Jdmbs versions 1.0 dated 2017-02-15 and 1.1 dated 2018-01-16

 DESCRIPTION                  |   24 +++----
 MD5                          |   27 ++++----
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 15 files changed, 169 insertions(+), 228 deletions(-)

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New package toolmaRk with initial version 0.0.1
Package: toolmaRk
Type: Package
Title: Tests for Same-Source of Toolmarks
Version: 0.0.1
Date: 2018-01-10
Authors@R: c(person("Jeremy", "Hadler", role = c("aut", "cre"), email = "hadler13@yahoo.com"), person("Max", "Morris", role = "ths"), person("Heike", "Hofmann", role = "ctb"))
Author: Jeremy Hadler [aut, cre], Max Morris [ths], Heike Hofmann [ctb]
Maintainer: Jeremy Hadler <hadler13@yahoo.com>
Description: Implements two tests for same-source of toolmarks. The chumbley_non_random() test follows the paper "An Improved Version of a Tool Mark Comparison Algorithm" by Hadler and Morris (2017) <doi:10.1111/1556-4029.13640>. This is an extension of the Chumbley score as previously described in "Validation of Tool Mark Comparisons Obtained Using a Quantitative, Comparative, Statistical Algorithm" by Chumbley et al (2010) <doi:10.1111/j.1556-4029.2010.01424.x>. fixed_width_no_modeling() is based on correlation measures in a diamond shaped area of the toolmark as described in Hadler (2017).
Depends: R (>= 3.3), plyr (>= 1.8.4), dplyr (>= 0.7.2), reshape2 (>= 1.4.2)
Imports: ggplot2 (>= 2.2.1)
License: GPL-3
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-16 00:28:00 UTC; Jeremy
Repository: CRAN
Date/Publication: 2018-01-16 10:37:45 UTC

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New package TE with initial version 0.1-1
Package: TE
Type: Package
Version: 0.1-1
Title: Insertion/Deletion Dynamics for Transposable Elements
License: MIT + file LICENSE
Description: Provides functions to estimate the insertion and deletion rates of transposable element (TE) families. The estimation of insertion rate consists of an improved estimate of the age distribution that takes into account random mutations, and an adjustment by the deletion rate. A hypothesis test for a uniform insertion rate is also implemented. This package implements the methods proposed in Dai et al (2018).
Authors@R: c(person("Xiongtao", "Dai", email="dai@ucdavis.edu", role=c("aut", "cre", "cph")), person("Hao", "Wang", role="aut"), person("Jan", "Dvorak", role="ctb"), person("Jeffrey", "Bennetzen", role="ctb"), person("Hans-Georg", "Mueller", role="ctb"))
LazyData: true
Depends: R (>= 2.10)
Imports: MASS, rainbow
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-13 19:33:17 UTC; xiongtao
Author: Xiongtao Dai [aut, cre, cph], Hao Wang [aut], Jan Dvorak [ctb], Jeffrey Bennetzen [ctb], Hans-Georg Mueller [ctb]
Maintainer: Xiongtao Dai <dai@ucdavis.edu>
Repository: CRAN
Date/Publication: 2018-01-16 10:44:11 UTC

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Package sparseinv updated to version 0.1.1 with previous version 0.1 dated 2018-01-15

Title: Computation of the Sparse Inverse Subset
Description: Creates a wrapper for the 'SuiteSparse' routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> and Zammit-Mangion and Rougier (2017) <arXiv:1707.00892> for the application of these equations to statistics.
Author: Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between sparseinv versions 0.1 dated 2018-01-15 and 0.1.1 dated 2018-01-16

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 MD5                     |    4 ++--
 src/amd_order_wrapper.c |    2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package natural with initial version 0.9.0
Package: natural
Type: Package
Title: Estimating the Error Variance in a High-Dimensional Linear Model
Version: 0.9.0
Authors@R: person("Guo", "Yu", email = "gy63@cornell.edu", role = c("aut", "cre"))
Maintainer: Guo Yu <gy63@cornell.edu>
Description: Implementation of the two error variance estimation methods in high-dimensional linear models of Yu, Bien (2017) <arXiv:1712.02412>.
URL: https://arxiv.org/abs/1712.02412
BugReports: https://github.com/hugogogo/natural/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: Matrix, glmnet
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-16 01:32:01 UTC; hugo
Author: Guo Yu [aut, cre]
Repository: CRAN
Date/Publication: 2018-01-16 10:35:43 UTC

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Package GCalignR updated to version 1.0.1 with previous version 1.0.0 dated 2017-09-14

Title: Simple Peak Alignment for Gas-Chromatography Data
Description: Aligns peak based on peak retention times and matches homologous peaks across samples. The underlying alignment procedure comprises three sequential steps. (1) Full alignment of samples by linear transformation of retention times to maximise similarity among homologous peaks (2) Partial alignment of peaks within a user-defined retention time window to cluster homologous peaks (3) Merging rows that are likely representing homologous substances (i.e. no sample shows peaks in both rows and the rows have similar retention time means). The algorithm is described in detail in Ottensmann et al. submitted <doi:10.1101/110494>.
Author: Meinolf Ottensmann [aut, cre], Martin Stoffel [aut], Hazel J. Nichols [aut], Joseph I. Hoffman [aut]
Maintainer: Meinolf Ottensmann <meinolf.ottensmann@web.de>

Diff between GCalignR versions 1.0.0 dated 2017-09-14 and 1.0.1 dated 2018-01-16

 DESCRIPTION                                         |    8 ++---
 MD5                                                 |   24 ++++++++--------
 R/align_chromatograms.R                             |   18 ++++--------
 R/align_peaks.R                                     |    6 ++--
 R/choose_optimal_reference.R                        |    2 -
 R/formatting_filtering_gc_data.R                    |   27 ++++++++++++++++--
 R/linear_transformation.R                           |    2 -
 R/remove_blanks.R                                   |   20 ++++++++-----
 README.md                                           |   19 ++----------
 build/vignette.rds                                  |binary
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 inst/doc/GCalignR_step_by_step.html                 |   30 ++++++++++----------
 tests/testthat/test-norm_peaks.R                    |    2 -
 13 files changed, 99 insertions(+), 85 deletions(-)

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New package clespr with initial version 1.0.1
Package: clespr
Type: Package
Title: Composite Likelihood Estimation for Spatial Data
Version: 1.0.1
Authors@R: c( person("Ting Fung (Ralph)", "Ma", email = "tingfung.ma@wisc.edu", role = c("cre", "aut")), person("Wenbo", "Wu", email = "wenbowu@umich.edu", role = "aut"), person("Jun", "Zhu", email = "jzhu@stat.wisc.edu", role = "aut"), person("Xiaoping", "Feng", role = "aut"), person("Daniel", "Walsh", role= "ctb"), person("Robin", "Russell", role= "ctb"))
Maintainer: Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>
Description: Composite likelihood approach is implemented to estimating statistical models for spatial ordinal and proportional data based on Feng et al. (2014) <doi:10.1002/env.2306>. Parameter estimates are identified by maximizing composite log-likelihood functions using the limited memory BFGS optimization algorithm with bounding constraints, while standard errors are obtained by estimating the Godambe information matrix.
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.2.0)
Imports: AER (>= 1.2-5), pbivnorm (>= 0.6.0), MASS (>= 7.3-45), magic (>= 1.5-6), survival (>= 2.37-5), doParallel (>= 1.0.11), foreach (>= 1.2.0), utils, stats
NeedsCompilation: no
Packaged: 2018-01-16 00:25:24 UTC; Ralph
Author: Ting Fung (Ralph) Ma [cre, aut], Wenbo Wu [aut], Jun Zhu [aut], Xiaoping Feng [aut], Daniel Walsh [ctb], Robin Russell [ctb]
Repository: CRAN
Date/Publication: 2018-01-16 10:33:10 UTC

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New package bnpsd with initial version 1.0.1
Package: bnpsd
Title: Simulate Genotypes from the BN-PSD Admixture Model
Version: 1.0.1
Authors@R: c( person("Alejandro", "Ochoa", email = "ochoa@princeton.edu", role = c("aut", "cre")), person("John D.", "Storey", email = "jstorey@princeton.edu", role = c("aut")) )
Description: The Pritchard-Stephens-Donnelly (PSD) admixture model has k intermediate subpopulations from which n individuals draw their alleles dictated by their individual-specific admixture proportions. The BN-PSD model additionally imposes the Balding-Nichols (BN) allele frequency model to the intermediate populations, which therefore evolved independently from a common ancestral population T with subpopulation-specific FST (Wright's fixation index) parameters. The BN-PSD model can be used to yield complex population structures. Method described in Ochoa and Storey (2016) <doi:10.1101/083923>.
Depends:
Imports: stats
Suggests: popkin, testthat, knitr, rmarkdown, RColorBrewer
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
URL: https://github.com/StoreyLab/bnpsd/
BugReports: https://github.com/StoreyLab/bnpsd/issues
NeedsCompilation: no
Packaged: 2018-01-15 20:34:58 UTC; viiia
Author: Alejandro Ochoa [aut, cre], John D. Storey [aut]
Maintainer: Alejandro Ochoa <ochoa@princeton.edu>
Repository: CRAN
Date/Publication: 2018-01-16 10:07:50 UTC

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Package RcppMsgPack updated to version 0.2.1 with previous version 0.2.0 dated 2017-09-07

Title: 'MsgPack' C++ Header Files and Interface Functions for R
Description: 'MsgPack' header files are provided for use by R packages, along with the ability to access, create and alter 'MsgPack' objects directly from R. 'MsgPack' is an efficient binary serialization format. It lets you exchange data among multiple languages like 'JSON' but it is faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. This package provides headers from the 'msgpack-c' implementation for C and C++(11) for use by R, particularly 'Rcpp'. The included 'msgpack-c' headers are licensed under the Boost Software License (Version 1.0); the code added by this package as well the R integration are licensed under the GPL (>= 2). See the files 'COPYRIGHTS' and 'AUTHORS' for a full list of copyright holders and contributors to 'msgpack-c'.
Author: Travers Ching and Dirk Eddelbuettel; the authors and contributors of MsgPack
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppMsgPack versions 0.2.0 dated 2017-09-07 and 0.2.1 dated 2018-01-16

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 RcppMsgPack-0.2.1/RcppMsgPack/MD5                                                      |   56 +++---
 RcppMsgPack-0.2.1/RcppMsgPack/NAMESPACE                                                |    1 
 RcppMsgPack-0.2.1/RcppMsgPack/R/RcppExports.R                                          |   24 +-
 RcppMsgPack-0.2.1/RcppMsgPack/R/functions.r                                            |   59 ++++++-
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New package mazeinda with initial version 0.0.1
Package: mazeinda
Title: Monotonic Association on Zero-Inflated Data
Version: 0.0.1
Authors@R: person("Alice", "Albasi", email = "albasialice@gmail.com", role = c("aut", "cre"))
Author: Alice Albasi [aut, cre]
Maintainer: Alice Albasi <albasialice@gmail.com>
Description: Methods for calculating and testing the significance of pairwise monotonic association from and based on the work of Pimentel (2009) <doi:10.4135/9781412985291.n2>. Computation of association of vectors from one or multiple sets can be performed in parallel thanks to the packages 'foreach' and 'doMC'.
Depends: R (>= 3.3.0)
Imports: foreach
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: doMC, gamlss.dist, knitr, testthat, R.rsp, rmarkdown
VignetteBuilder: R.rsp, knitr
NeedsCompilation: no
Packaged: 2018-01-15 19:39:32 UTC; alicealbasi
Repository: CRAN
Date/Publication: 2018-01-16 09:42:00 UTC

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Package sysfonts updated to version 0.7.2 with previous version 0.7.1 dated 2017-09-09

Title: Loading Fonts into R
Description: Loading system fonts and Google Fonts <https://fonts.google.com/> into R, in order to support other packages such as 'R2SWF' and 'showtext'.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between sysfonts versions 0.7.1 dated 2017-09-09 and 0.7.2 dated 2018-01-16

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 src/Makevars.win            |    2 
 11 files changed, 471 insertions(+), 458 deletions(-)

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Package showtext updated to version 0.5-1 with previous version 0.5 dated 2017-09-22

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu and authors/contributors of the included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between showtext versions 0.5 dated 2017-09-22 and 0.5-1 dated 2018-01-16

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 9 files changed, 671 insertions(+), 664 deletions(-)

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Package rlas updated to version 1.1.8 with previous version 1.1.5 dated 2017-09-22

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://www.asprs.org/committee-general/laser-las-file-format-exchange-activities.html>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3 <https://www.laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Florian De Boissieu [ctb] (Enable support of .lax file and extra byte attributes)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.1.5 dated 2017-09-22 and 1.1.8 dated 2018-01-16

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 NEWS.md                          |   11 
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 22 files changed, 641 insertions(+), 696 deletions(-)

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Package prettydoc updated to version 0.2.1 with previous version 0.2.0 dated 2016-09-01

Title: Creating Pretty Documents from R Markdown
Description: Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
Author: Yixuan Qiu [aut, cre], Jason Long [ctb] (the Cayman, Tactile and Architect themes), Renyuan Zou [ctb] (the Leonids theme), Michael Rose [ctb] (the HPSTR theme), JJ Allaire [ctb] (pandoc template for rmarkdown), Hadley Wickham [ctb] (the html_vignette() function), Yihui Xie [ctb] (the html_vignette() function), Steve Matteson [ctb] (the Open Sans fonts)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between prettydoc versions 0.2.0 dated 2016-09-01 and 0.2.1 dated 2018-01-16

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Package JuniperKernel updated to version 1.2.2.0 with previous version 1.2.1.0 dated 2018-01-05

Title: Kernel for 'Jupyter'
Description: Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
Author: Spencer Aiello [aut, cre, cph], Wei-Chen Chen [ctb], Stephan Brumme [cph], Jake Luciani [cph], Tony Plate [cph], Matthieu Decorde [cph], RStudio (Hadley Wickham) [cph], Sylvain Corlay [cph], Johan Mabille [cph], Niels Lohmann [cph]
Maintainer: Spencer Aiello <spnrpa@gmail.com>

Diff between JuniperKernel versions 1.2.1.0 dated 2018-01-05 and 1.2.2.0 dated 2018-01-16

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 MD5                        |   30 +++++++++++++++---------------
 NEWS.md                    |   13 ++++++++++---
 R/comm_close.R             |   15 +++++----------
 R/comm_info_request.R      |    2 +-
 R/comm_msg.R               |   15 +++++----------
 R/comm_open.R              |   15 +++++----------
 R/history_request.R        |    2 +-
 R/is_complete_request.R    |    2 +-
 configure                  |   23 ++++++++++++++++++-----
 man/comm_close.Rd          |   15 ++++-----------
 man/comm_info_request.Rd   |    2 +-
 man/comm_msg.Rd            |   15 ++++-----------
 man/comm_open.Rd           |   15 ++++-----------
 man/history_request.Rd     |    2 +-
 man/is_complete_request.Rd |    2 +-
 16 files changed, 81 insertions(+), 97 deletions(-)

More information about JuniperKernel at CRAN
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Package filenamer updated to version 0.2.2 with previous version 0.2.1 dated 2016-04-04

Title: Easy Management of File Names
Description: Create descriptive file names with ease. New file names are automatically (but optionally) time stamped and placed in date stamped directories. Streamline your analysis pipeline with input and output file names that have informative tags and proper file extensions.
Author: David J. H. Shih
Maintainer: David J. H. Shih <djh.shih@gmail.com>

Diff between filenamer versions 0.2.1 dated 2016-04-04 and 0.2.2 dated 2018-01-16

 DESCRIPTION                  |   10 +++++-----
 MD5                          |   30 +++++++++++++++---------------
 R/filename.R                 |   17 +++++++++++------
 R/set.R                      |   16 +++++++++++-----
 man/as.character.filename.Rd |    1 -
 man/as.filename.Rd           |    3 +--
 man/filename.Rd              |    2 +-
 man/insert.Rd                |    3 +--
 man/is.filename.Rd           |    1 -
 man/make_path.Rd             |    3 +--
 man/set_fdate.Rd             |    1 -
 man/set_fext.Rd              |    5 +++--
 man/set_fpath.Rd             |    1 -
 man/set_ftime.Rd             |    1 -
 man/tag.Rd                   |    1 -
 man/trim_ext.Rd              |    1 -
 16 files changed, 49 insertions(+), 47 deletions(-)

More information about filenamer at CRAN
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