Thu, 05 Apr 2018

Package RWildbook updated to version 0.9.3 with previous version 0.9.2 dated 2017-02-08

Title: Interface for the 'Wildbook' Wildlife Data Management Framework
Description: Provides an interface with the 'Wildbook' mark-recapture ecological database framework. It helps users to pull data from the 'Wildbook' framework and format data for further analysis with mark-recapture applications like 'Program MARK' (which can be accessed via the 'RMark' package in 'R'). Further information on the 'Wildbook' framework is available at: <http://www.wildbook.org/doku.php>.
Author: Simon Bonner [aut, cre], Xinxin Huang [aut]
Maintainer: Simon Bonner <sbonner6@uwo.ca>

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Package flam updated to version 3.2 with previous version 3.1 dated 2016-11-08

Title: Fits Piecewise Constant Models with Data-Adaptive Knots
Description: Implements the fused lasso additive model as proposed in Petersen, A., Witten, D., and Simon, N. (2016). Fused Lasso Additive Model. Journal of Computational and Graphical Statistics, 25(4): 1005-1025.
Author: Ashley Petersen
Maintainer: Ashley Petersen <ashleyjpete@gmail.com>

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Package accelmissing updated to version 1.4 with previous version 1.2 dated 2018-03-26

Title: Missing Value Imputation for Accelerometer Data
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
Author: Jung Ae Lee <julee@uark.edu>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>

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Package RcmdrPlugin.EZR updated to version 1.37 with previous version 1.36 dated 2017-08-30

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 1,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

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New package MHTcop with initial version 0.1.0
Package: MHTcop
Type: Package
Title: Tests Controlling the FDR / FWER under Certain Copula Models
Version: 0.1.0
Authors@R: c( person("Jonathan", "von Schroeder", email = "jvs@uni-bremen.de", role = c("aut","cre")), person("Taras", "Bodnar", email = "bodnar@math.hu-berlin.de", role = "aut"), person("Jens","Stange", email= "Jens.Stange@wias-berlin.de", role = "aut"))
Description: Implements tests controlling the false discovery rate (FDR) / family-wise error rate (FWER) for some copula models.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: stats, copula, matrixStats, mvtnorm, stabledist, MCMCpack
Suggests: knitr, rmarkdown, pbapply
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-05 10:32:17 UTC; s_ca92ba
Author: Jonathan von Schroeder [aut, cre], Taras Bodnar [aut], Jens Stange [aut]
Maintainer: Jonathan von Schroeder <jvs@uni-bremen.de>
Repository: CRAN
Date/Publication: 2018-04-06 00:43:51

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Package kableExtra updated to version 0.8.0 with previous version 0.7.0 dated 2018-01-15

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] (<https://orcid.org/0000-0002-3386-6076>), Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stéphane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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Package DTRlearn updated to version 1.3 with previous version 1.2 dated 2015-12-27

Title: Learning Algorithms for Dynamic Treatment Regimes
Description: Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each stage by time-varying subject-specific features and intermediate outcomes observed in previous stages. This package implements three methods: O-learning (Zhao et. al. 2012,2014), Q-learning (Murphy et. al. 2007; Zhao et.al. 2009) and P-learning (Liu et. al. 2014, 2015) to estimate the optimal DTRs.
Author: Ying Liu, Yuanjia Wang, Donglin Zeng
Maintainer: Ying Liu <summeryingl@gmail.com>

Diff between DTRlearn versions 1.2 dated 2015-12-27 and 1.3 dated 2018-04-05

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Package qtlnet updated to version 1.4.4 with previous version 1.3.6 dated 2014-03-13

Title: Causal Inference of QTL Networks
Description: Functions to Simultaneously Infer Causal Graphs and Genetic Architecture. Includes acyclic and cyclic graphs for data from an experimental cross with a modest number (<10) of phenotypes driven by a few genetic loci (QTL). Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Annals of Applied Statistics 4: 320-339. <doi:10.1214/09-AOAS288>.
Author: Elias Chaibub Neto <echaibub@hotmail.com> and Brian S. yandell <brian.yandell@wisc.edu>
Maintainer: Brian S. Yandell <brian.yandell@wisc.edu>

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Package qtlhot updated to version 1.0.4 with previous version 0.9.0 dated 2013-09-19

Title: Inference for QTL Hotspots
Description: Functions to infer co-mapping trait hotspots and causal models. Chaibub Neto E, Keller MP, Broman AF, Attie AD, Jansen RC, Broman KW, Yandell BS (2012) Quantile-based permutation thresholds for QTL hotspots. Genetics 191 : 1355-1365. <doi:10.1534/genetics.112.139451>. Chaibub Neto E, Broman AT, Keller MP, Attie AD, Zhang B, Zhu J, Yandell BS (2013) Modeling causality for pairs of phenotypes in system genetics. Genetics 193 : 1003-1013. <doi:10.1534/genetics.112.147124>.
Author: Elias Chaibub Neto <echaibub@hotmail.com> and Brian S Yandell <brian.yandell@wisc.edu>
Maintainer: Brian S. Yandell <brian.yandell@wisc.edu>

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Package kernplus updated to version 0.1.1 with previous version 0.1.0 dated 2017-06-07

Title: A Kernel Regression-Based Multidimensional Wind Turbine Power Curve
Description: Provides wind energy practitioners with an effective machine learning-based tool that estimates a multivariate power curve and predicts the wind power output for a specific environmental condition.
Author: Yu Ding [aut], Hoon Hwangbo [aut, cre]
Maintainer: Hoon Hwangbo <hhwangbo17@gmail.com>

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Package jsr223 updated to version 0.3.1 with previous version 0.3.0 dated 2018-03-13

Title: A 'Java' Platform Integration for 'R' with Programming Languages 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'
Description: Provides a high-level integration for the 'Java' platform that makes 'Java' objects easy to use from within 'R'; provides a unified interface to integrate 'R' with several programming languages; and features extensive data exchange between 'R' and 'Java'. The 'jsr223'-supported programming languages include 'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'), and 'Kotlin'. Any of these languages can use and extend 'Java' classes in natural syntax. Furthermore, solutions developed in any of the 'jsr223'-supported languages are also accessible to 'R' developers. The 'jsr223' package also features callbacks, script compiling, and string interpolation. In all, 'jsr223' significantly extends the computing capabilities of the 'R' software environment.
Author: Floid R. Gilbert [aut, cre], David B. Dahl [aut]
Maintainer: Floid R. Gilbert <floid.r.gilbert@gmail.com>

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Package IsoriX updated to version 0.7.1 with previous version 0.7 dated 2017-08-14

Title: Isoscape Computation and Inference of Spatial Origins using Mixed Models
Description: Building isoscapes using mixed models and inferring the geographic origin of organisms based on their isotopic ratios. This package is essentially a simplified interface to several other packages. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps using lattice.
Author: Alexandre Courtiol [aut, cre], François Rousset [aut], Marie-Sophie Rohwaeder [aut], Stephanie Kramer-Schadt [aut, cre]
Maintainer: Alexandre Courtiol <alexandre.courtiol@gmail.com>

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Package irtDemo updated to version 0.1.4 with previous version 0.1.3 dated 2018-02-05

Title: Item Response Theory Demo Collection
Description: Includes a collection of shiny applications to demonstrate or to explore fundamental item response theory (IRT) concepts such as estimation, scoring, and multidimensional IRT models.
Author: Metin Bulus [aut,cre] Wes Bonifay [aut,cre]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package derivmkts updated to version 0.2.2.1 with previous version 0.2.2 dated 2016-09-04

Title: Functions and R Code to Accompany Derivatives Markets
Description: A set of pricing and expository functions that should be useful in teaching a course on financial derivatives.
Author: Robert McDonald [aut, cre, cph]
Maintainer: Robert McDonald <rmcd1024@gmail.com>

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Package rquery updated to version 0.4.2 with previous version 0.4.1 dated 2018-03-18

Title: Relational Query Generator for Data Manipulation at Scale
Description: A 'SQL' query generator based on Edgar F. Codd's relational algebra and experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as `Spark` and databases. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible modeling step, and convenience methods for applying query trees to in-memory 'data.frame's.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between rquery versions 0.4.1 dated 2018-03-18 and 0.4.2 dated 2018-04-05

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More information about rquery at CRAN
Permanent link

Package bsplus updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-26

Title: Adds Functionality to the R Markdown + Shiny Bootstrap Framework
Description: The Bootstrap framework lets you add some JavaScript functionality to your web site by adding attributes to your HTML tags - Bootstrap takes care of the JavaScript <https://getbootstrap.com/javascript>. If you are using R Markdown or Shiny, you can use these functions to create collapsible sections, accordion panels, modals, tooltips, popovers, and an accordion sidebar framework (not described at Bootstrap site).
Author: Ian Lyttle [aut, cre, cph] (<https://orcid.org/0000-0001-9962-4849>), Schneider Electric [cph], Alex Shum [ctb], Emily Berry [ctb]
Maintainer: Ian Lyttle <ian.lyttle@schneider-electric.com>

Diff between bsplus versions 0.1.0 dated 2017-01-26 and 0.1.1 dated 2018-04-05

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 NEWS.md                               |   10 ++++
 R/accordion.R                         |    2 
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More information about bsplus at CRAN
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Package XLConnect updated to version 0.2-15 with previous version 0.2-14 dated 2018-01-23

Title: Excel Connector for R
Description: Provides comprehensive functionality to read, write and format Excel data.
Author: Mirai Solutions GmbH [aut], Martin Studer [cre], The Apache Software Foundation [ctb, cph] (Apache POI), Graph Builder [ctb, cph] (Curvesapi Java library)
Maintainer: Martin Studer <martin.studer@mirai-solutions.com>

Diff between XLConnect versions 0.2-14 dated 2018-01-23 and 0.2-15 dated 2018-04-05

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 MD5                             |   20 ++++++++++----------
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 README.md                       |    2 +-
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 11 files changed, 27 insertions(+), 40 deletions(-)

More information about XLConnect at CRAN
Permanent link

Package spaMM updated to version 2.4.0 with previous version 2.3.0 dated 2018-01-18

Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta-Binomial). Variation in residual variance (heteroscedasticity) can itself be represented by a generalized linear mixed model. Various approximations of likelihood or restricted likelihood are implemented, in particular h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) and Laplace approximation.
Author: François Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

Diff between spaMM versions 2.3.0 dated 2018-01-18 and 2.4.0 dated 2018-04-05

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 87 files changed, 2381 insertions(+), 2148 deletions(-)

More information about spaMM at CRAN
Permanent link

Package pbdSLAP updated to version 0.2-4 with previous version 0.2-3 dated 2018-01-05

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: Utilizing scalable linear algebra packages mainly including 'BLACS', 'PBLAS', and 'ScaLAPACK' in double precision via 'pbdMPI' based on 'ScaLAPACK' version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Brian Ripley [ctb] (Solaris & Mac)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdSLAP versions 0.2-3 dated 2018-01-05 and 0.2-4 dated 2018-04-05

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More information about pbdSLAP at CRAN
Permanent link

Package nonmem2R updated to version 0.1.9 with previous version 0.1.8 dated 2018-02-09

Title: Loading NONMEM Output Files and Simulate with Parameter Uncertainty
Description: Loading NONMEM (NONlinear Mixed-Effect Modeling, <http://www.iconplc.com/innovation/solutions/nonmem/> ) output files and simulate with parameter uncertainty.
Author: Magnus Astrand
Maintainer: Magnus Astrand <magnus.astrand@astrazeneca.com>

Diff between nonmem2R versions 0.1.8 dated 2018-02-09 and 0.1.9 dated 2018-04-05

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More information about nonmem2R at CRAN
Permanent link

Package KarsTS updated to version 2.1 with previous version 2.0 dated 2018-01-31

Title: An Interface for Microclimate Time Series
Description: An R graphical user interface for microclimate time series, with an emphasis on underground environments. 'KarsTS' provides linear and nonlinear methods, including recurrence analysis (Marwan et al. (2007) <10.1016/j.physrep.2006.11.001>) and filling methods (Moffat et al. (2007) <doi:10.1016/j.agrformet.2007.08.011>), as well as tools to manipulate easily time series and gap sets.
Author: Marina Saez [aut, cre], David Benavente [ths], Soledad Cuezva [ths], Concepcion Pla [ctb]
Maintainer: Marina Saez <marinasaez_andreu@hotmail.com>

Diff between KarsTS versions 2.0 dated 2018-01-31 and 2.1 dated 2018-04-05

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 R/fnnKTS.R                       |  200 ++--
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 R/getCRP.R                       |   70 -
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 R/getCoordsKTS.R                 |  276 ++---
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 R/getScreenSize.R                |   82 -
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 R/loadAllTypes.R                 | 1370 ++++++++++++++---------------
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 R/loessKTS.R                     |  282 +++---
 R/mainScreen.R                   |  354 +++----
 R/meanValue.R                    |  492 +++++-----
 R/mergeTsOrGap.R                 |  290 +++---
 R/missForestKTS.R                |  878 +++++++++---------
 R/modeKTS.R                      |   12 
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 R/mutualKTS.R                    |  226 ++--
 R/myApplyVector.R                |   42 
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 R/myScale.R                      |   64 -
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 R/packagesToImport.R             |   78 -
 R/pcaKTS.R                       |  224 ++--
 R/plotTimeSeries.R               | 1810 +++++++++++++++++++--------------------
 R/readMultEntryvalues.R          |   44 
 R/refreshDataSetsList.R          |  228 ++--
 R/removeAllTypes.R               |  118 +-
 R/removeIfExists.R               |   18 
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 R/windRoseKTS.R                  |  280 +++---
 R/writeMethodSummary.R           |   56 -
 R/writeMethodTitle.R             |   12 
 build/partial.rdb                |binary
 inst/extdata/KarsTS-manual.pdf   |binary
 inst/extdata/KarsTSUserGuide.pdf |binary
 inst/extdata/aboutKTS.txt        |    6 
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 166 files changed, 15502 insertions(+), 15459 deletions(-)

More information about KarsTS at CRAN
Permanent link

New package GAMens with initial version 1.2.1
Package: GAMens
Title: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
Version: 1.2.1
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <kdebock@audencia.com>
Depends: R (>= 2.4.0), splines, gam, mlbench, caTools
Description: Implements the GAMbag, GAMrsm and GAMens ensemble classifiers for binary classification (De Bock et al., 2010) <doi:10.1016/j.csda.2009.12.013>. The ensembles implement Bagging (Breiman, 1996) <doi:10.1023/A:1010933404324>, the Random Subspace Method (Ho, 1998) <doi:10.1109/34.709601> , or both, and use Hastie and Tibshirani's (1990, ISBN:978-0412343902) generalized additive models (GAMs) as base classifiers. Once an ensemble classifier has been trained, it can be used for predictions on new data. A function for cross validation is also included.
License: GPL (>= 2)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-05 14:33:36 UTC; kdebock
Repository: CRAN
Date/Publication: 2018-04-05 17:12:34 UTC

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Package XLConnectJars updated to version 0.2-15 with previous version 0.2-14 dated 2018-01-23

Title: JAR Dependencies for the XLConnect Package
Description: Provides external JAR dependencies for the XLConnect package.
Author: Mirai Solutions GmbH [aut], Martin Studer [cre], The Apache Software Foundation [ctb, cph] (Apache POI, Apache XMLBeans, Apache Commons Codec, Apache Commons Collections), Stephen Colebourne [ctb, cph] (Joda-Time Java library)
Maintainer: Martin Studer <martin.studer@mirai-solutions.com>

Diff between XLConnectJars versions 0.2-14 dated 2018-01-23 and 0.2-15 dated 2018-04-05

 DESCRIPTION                  |    8 ++--
 MD5                          |    8 ++--
 NEWS                         |    3 +
 R/onLoad.R                   |    4 +-
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Package RStoolbox updated to version 0.2.0 with previous version 0.1.10 dated 2017-11-10

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], Jakob Schwalb-Willmann [aut]
Maintainer: Benjamin Leutner <benjamin.leutner@uni-wuerzburg.de>

Diff between RStoolbox versions 0.1.10 dated 2017-11-10 and 0.2.0 dated 2018-04-05

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 NAMESPACE                   |    2 
 NEWS                        |   10 
 R/RStoolbox.R               |    4 
 R/RcppExports.R             |    4 
 R/classifyQA.R              |   94 +++---
 R/cloudMask.R               |    2 
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 R/encodeQA.R                |    2 
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 R/getMeta.R                 |   32 +-
 R/getValidation.R           |    2 
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 R/histMatch.R               |   12 
 R/internalFunctions.R       |   10 
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 R/panSharpen.R              |   10 
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 R/rasterPCA.R               |   74 ++--
 R/readEE.R                  |   40 +-
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 R/readSLI.R                 |    2 
 R/rescaleImage.R            |    4 
 R/sam.R                     |    2 
 R/saveRSTBX.R               |    2 
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 R/tasseledCap.R             |    4 
 R/topCor.R                  |    6 
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 R/validateMap.R             |    6 
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 man/validateMap.Rd          |    4 
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 src/init.c                  |    4 
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 tests/testthat/test-mesma.R |only
 52 files changed, 1263 insertions(+), 1218 deletions(-)

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New package mlrCPO with initial version 0.3.2
Package: mlrCPO
Title: Composable Preprocessing Operators and Pipelines for Machine Learning
Description: Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
Authors@R: c( person("Martin", "Binder", email = "ma.binder@campus.lmu.de", role = c("aut", "cre")), person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = "ctb"), person("Michel", "Lang", email = "michellang@gmail.com", role = "ctb"), person("Lars", "Kotthoff", email = "larsko@cs.ubc.ca", role = "ctb"))
URL: https://github.com/mlr-org/mlrCPO
BugReports: https://github.com/mlr-org/mlrCPO/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.2), ParamHelpers (>= 1.10), mlr (>= 2.12)
Imports: BBmisc (>= 1.11), stringi, checkmate (>= 1.8.3), methods, stats, utils, backports (>= 1.1.0)
Suggests: party, rpart, mlbench, knitr, rmarkdown, testthat, mRMRe, care, randomForestSRC, randomForest, ranger (>= 0.8.0), Rfast, FSelector, e1071, DiscriMiner, digest, lintr, Hmisc, fastICA
LazyData: yes
ByteCompile: yes
Version: 0.3.2
Collate: 'CPOHelp.R' 'fauxCPOConstructor.R' 'auxiliary.R' 'ParamSetSugar.R' 'callInterface.R' 'FormatCheck.R' 'callCPO.R' 'properties.R' 'parameters.R' 'listCPO.R' 'makeCPO.R' 'CPO_applyFun.R' 'CPO_asNumeric.R' 'operators.R' 'NULLCPO.R' 'CPO_meta.R' 'CPO_cbind.R' 'CPO_collapseFact.R' 'CPO_dropConstants.R' 'CPO_encode.R' 'CPO_filterFeatures.R' 'CPO_fixFactors.R' 'CPO_ica.R' 'CPO_impute.R' 'CPO_makeCols.R' 'CPO_missingIndicators.R' 'CPO_modelMatrix.R' 'CPO_pca.R' 'CPO_quantileBinNumerics.R' 'CPO_regrResiduals.R' 'CPO_responseFromSE.R' 'CPO_scale.R' 'CPO_scaleMaxAbs.R' 'CPO_scaleRange.R' 'CPO_select.R' 'CPO_smote.R' 'CPO_spatialSign.R' 'CPO_subsample.R' 'CPO_wrap.R' 'RetrafoState.R' 'attributes.R' 'auxhelp.R' 'composeProperties.R' 'doublecaret.R' 'inverter.R' 'learner.R' 'makeCPOHelp.R' 'print.R' 'zzz.R'
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-04 17:18:26 UTC; user
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <ma.binder@campus.lmu.de>
Repository: CRAN
Date/Publication: 2018-04-05 16:24:28 UTC

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Package MCMCvis updated to version 0.10.0 with previous version 0.9.4 dated 2018-01-27

Title: Tools to Visualize, Manipulate, and Summarize MCMC Output
Description: Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with JAGS, Stan, or other MCMC samplers.
Author: Casey Youngflesh [aut, cre] (<https://orcid.org/0000-0001-6343-3311>)
Maintainer: Casey Youngflesh <caseyyoungflesh@gmail.com>

Diff between MCMCvis versions 0.9.4 dated 2018-01-27 and 0.10.0 dated 2018-04-05

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 MCMCvis-0.10.0/MCMCvis/R/MCMCplot.R          |   23 +-
 MCMCvis-0.10.0/MCMCvis/R/MCMCpstr.R          |    5 
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 MCMCvis-0.10.0/MCMCvis/R/MCMCtrace.R         |   48 ++++
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 MCMCvis-0.10.0/MCMCvis/inst/doc/MCMCvis.R    |   89 ++++++++-
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 MCMCvis-0.9.4/MCMCvis/data/datalist          |only
 19 files changed, 595 insertions(+), 232 deletions(-)

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New package hhi with initial version 1.0.0
Package: hhi
Type: Package
Title: Calculate and Visualize the Herfindahl-Hirschman Index
Version: 1.0.0
Author: Philip D. Waggoner <philip.waggoner@gmail.com>
Maintainer: Philip D. Waggoner <philip.waggoner@gmail.com>
Description: Based on the aggregated shares retained by individual firms or actors within a market or space, the Herfindahl-Hirschman Index (HHI) measures the level of concentration in the market or space. It is often used as a measure of competition, where 0 equals perfect competition amongst firms or actors and 10,000 equals perfect monopoly. This package allows for intuitive and straightforward computation of the HHI, requiring placement of objects directly into the function, including the data frame first, followed by the name of the vector (or variable) corresponding with the market shares in quotation marks. The package also includes a plot function for quick visual display of HHI time series across any measure of time (year, quarter, month, etc.) Suggested citation of the HHI: Rhoades, Stephen A. (1993, "The herfindahl-hirschman index." Federal Reserve Bulletin 79: 188).
License: MIT + file LICENSE
Imports: ggplot2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-05 15:00:58 UTC; bpwaggo
Repository: CRAN
Date/Publication: 2018-04-05 16:35:26 UTC

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New package svrpath with initial version 0.1.1
Package: svrpath
Type: Package
Title: The SVR Path Algorithm
Version: 0.1.1
Authors@R: c(person("Dohyun", "Kim", email = "09dohkim@gmail.com", role = c("aut","cre")),person("Seung Jun", "Shin", email = "sjshin@korea.ac.kr", role = c("aut")))
Description: Computes the entire solution paths for Support Vector Regression with low cost. See Wang, G. et al (2008) <doi:10.1109/TNN.2008.2002077> for details regarding the method.
Imports: quadprog, svmpath
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-04 02:20:21 UTC; KimDoHyun
Author: Dohyun Kim [aut, cre], Seung Jun Shin [aut]
Maintainer: Dohyun Kim <09dohkim@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-05 15:26:50 UTC

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New package mosum with initial version 1.1
Package: mosum
Title: Moving Sum Based Procedures for Changes in the Mean
Version: 1.1
Date: 2018-04-04
Authors@R: c( person("Alexander", "Meier", email = "alexander.meier@ovgu.de", role=c("aut", "cre")), person("Haeran", "Cho", email = "haeran.cho@bristol.ac.uk", role="aut"), person("Claudia", "Kirch", email = "claudia.kirch@ovgu.de", role="aut"))
Description: Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) <doi:10.3150/16-BEJ887> and the multiscale algorithmic extensions from Cho and Kirch (2018+).
Depends: R (>= 3.1.2)
License: GPL (>= 3)
LazyData: true
Imports: zoo, plot3D, Rcpp (>= 0.12.5)
LinkingTo: Rcpp
Maintainer: Alexander Meier <alexander.meier@ovgu.de>
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-04 08:02:30 UTC; alexander
Author: Alexander Meier [aut, cre], Haeran Cho [aut], Claudia Kirch [aut]
Repository: CRAN
Date/Publication: 2018-04-05 15:14:17 UTC

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New package ERSA with initial version 0.1.0
Package: ERSA
Type: Package
Title: Exploratory Regression 'Shiny' App
Version: 0.1.0
Author: Catherine B. Hurley
Maintainer: Catherine B. Hurley <catherine.hurley@mu.ie>
Description: Constructs a 'shiny' app function with interactive displays for summary and analysis of variance regression tables, and parallel coordinate plots of data and residuals.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Imports: shiny, RColorBrewer, ggplot2, car, leaps, broom, dplyr, modelr, tidyr, purrr, combinat,stats, methods
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-03 15:13:30 UTC; catherine
Repository: CRAN
Date/Publication: 2018-04-05 15:28:57 UTC

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New package dcurver with initial version 0.9.0
Package: dcurver
Version: 0.9.0
Date: 2018-03-29
Title: Utility Functions for Davidian Curves
Author: Oğuzhan Öğreden
Maintainer: Oğuzhan Öğreden <oguzhan@oguzhanogreden.com>
Description: A Davidian curve defines a seminonparametric density, whose flexibility can be tuned by a parameter. Since a special case of a Davidian curve is the standard normal density, Davidian curves can be used for relaxing normality assumption in statistical applications (Zhang & Davidian, 2001) <doi:10.1111/j.0006-341X.2001.00795.x>. This package provides the density function, the gradient of the loglikelihood and a random generator for Davidian curves.
License: GPL-3
URL: https://github.com/oguzhanogreden/dcurver
BugReports: https://github.com/oguzhanogreden/dcurver/issues
Imports: Rcpp (>= 0.12.14)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: yes
Packaged: 2018-04-04 09:52:26 UTC; Oğuzhan
Repository: CRAN
Date/Publication: 2018-04-05 15:17:36 UTC

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New package corrDNA with initial version 1.0.1
Package: corrDNA
Type: Package
Title: Finding Associations in Position-Wise Aligned DNA Sequence Dataset
Version: 1.0.1
Date: 2018-03-08
Author: Prabina Kumar Meher & A. R. Rao
Maintainer: Prabina Kumar Meher <meherprabin@yahoo.com>
Depends: R(>= 3.3.0)
Imports: mvtnorm
LazyData: TRUE
Description: Can be useful for finding associations among different positions in a position-wise aligned sequence dataset. The approach adopted for finding associations among positions is based on the latent multivariate normal distribution.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-03-31 10:25:23 UTC; USER
Repository: CRAN
Date/Publication: 2018-04-05 15:31:17 UTC

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New package CISE with initial version 0.1.0
Package: CISE
Type: Package
Title: Common and Individual Structure Explained for Multiple Graphs
Version: 0.1.0
Authors@R: person("Lu", "Wang", email = "wangronglu22@gmail.com", role = c("aut","cre"))
Description: Specific dimension reduction methods for replicated graphs (multiple undirected graphs repeatedly measured on a common set of nodes). The package contains efficient procedures for estimating a shared baseline propensity matrix and graph-specific low rank matrices. The algorithm uses block coordinate descent algorithm to solve the model, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions, as described in the paper Wang et al. (2017) <arXiv:1707.06360>.
Depends: R (>= 3.3.0)
Imports: far, gdata, glmnet (>= 2.0-13), MASS, Matrix (>= 1.2-12), rARPACK (>= 0.11-0)
URL: https://arxiv.org/abs/1707.06360
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-04 10:45:33 UTC; luwang
Author: Lu Wang [aut, cre]
Maintainer: Lu Wang <wangronglu22@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-05 15:19:31 UTC

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New package autoFRK with initial version 1.0.0
Package: autoFRK
Type: Package
Title: Automatic Fixed Rank Kriging
Description: Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) <doi:10.1080/00401706.2017.1345701>. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.
License: GPL (>= 2)
Version: 1.0.0
Date: 2018-04-04
Depends: R (>= 3.0.2), spam
Imports: fields (>= 6.9.1), filehashSQLite, filehash, MASS, LatticeKrig (>= 5.4), FNN, filematrix, Rcpp
LinkingTo: Rcpp, RSpectra, RcppEigen, RcppParallel
Author: ShengLi Tzeng [aut, cre], Hsin-Cheng Huang [aut], Wen-Ting Wang [ctb], Douglas Nychka [ctb], Colin Gillespie [ctb]
Maintainer: ShengLi Tzeng <slt.cmu@gmail.com>
NeedsCompilation: yes
Date/Publication: 2018-04-05 15:16:00 UTC
Packaged: 2018-04-04 08:01:43 UTC; h0h1
Repository: CRAN

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New package ANOVA.TFNs with initial version 1.0
Package: ANOVA.TFNs
Type: Package
Title: One-Way Analysis of Variance Based on Triangular Fuzzy Numbers
Version: 1.0
Date: 2018-04-04
Author: Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran)
Maintainer: Abbas Parchami <parchami@uk.ac.ir>
Description: Long formulas and complex computations are two disadvantage of the extended ANOVA approach where the observed data are fuzzy rather that crisp; for more details see Parchami et al. (2017) <doi:10.1007/s40747-017-0046-8>. Package 'ANOVA.TFNs' can help to the applied users to overcome these two challenges. The most important functions in package 'ANOVA.TFNs' is FANOVA() which easily draw all membership functions of fuzzy numbers, report observed statistics in fuzzy ANOVA table, calculate the p-value and final result for Fuzzy ANOVA test at the certain significance level.
License: LGPL (>= 3)
Imports: FuzzyNumbers
NeedsCompilation: no
Packaged: 2018-04-04 02:59:00 UTC; Parchami
Repository: CRAN
Date/Publication: 2018-04-05 15:04:14 UTC

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Package GAMens (with last version 1.2) was removed from CRAN

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

2016-03-01 1.2

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Package CIDnetworks (with last version 0.8.1) was removed from CRAN

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

2015-04-08 0.8.1
2015-03-11 0.8.0
2014-06-18 0.6.0
2014-03-04 0.2.5
2014-02-11 0.2.2
2014-02-10 0.2

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Package hyperSMURF (with last version 1.1.4) was removed from CRAN

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

2018-03-04 1.1.4
2018-02-04 1.1.3
2016-08-18 1.1.2
2016-08-11 1.0

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Package ppiPre (with last version 1.9) was removed from CRAN

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

2015-07-28 1.9
2015-07-01 1.8
2015-03-02 1.7
2015-01-29 1.6

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Package spMaps (with last version 0.2) was removed from CRAN

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

2017-12-15 0.2
2017-11-17 0.1

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Package LogConcDEAD (with last version 1.5-9) was removed from CRAN

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

2014-07-02 1.5-9
2013-11-27 1.5-8
2013-07-24 1.5-7
2013-07-15 1.5-6
2012-06-12 1.5-5
2011-06-04 1.5-4
2011-05-24 1.5-3
2011-04-05 1.5-2
2011-02-11 1.5-1
2011-01-04 1.5-0
2010-12-09 1.4-3
2010-08-08 1.4-2
2010-01-12 1.4-1
2009-10-09 1.4-0
2009-01-30 1.3-3
2009-01-18 1.3-2
2008-12-19 1.3-1
2008-12-13 1.3-0
2008-07-07 1.2-0
2008-06-19 1.1-2
2008-04-08 1.1-1
2007-12-05 1.0-11
2007-11-21 1.0-10
2007-11-20 1.0-8
2007-08-25 1.0-6
2007-08-07 1.0-5
2007-07-29 1.0-3
2007-05-31 1.0-1

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Package cablecuttr (with last version 0.1.1) was removed from CRAN

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

2017-01-13 0.1.1
2016-10-25 0.1.0

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Package subplex updated to version 1.5-4 with previous version 1.5-2 dated 2018-02-11

Title: Unconstrained Optimization using the Subplex Algorithm
Description: The subplex algorithm for unconstrained optimization, developed by Tom Rowan <http://www.netlib.org/opt/subplex.tgz>.
Author: Aaron A. King [aut, trl, cre], Tom Rowan [aut]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between subplex versions 1.5-2 dated 2018-02-11 and 1.5-4 dated 2018-04-05

 DESCRIPTION        |    8 +-
 MD5                |    6 +-
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 4 files changed, 79 insertions(+), 79 deletions(-)

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Package StatCharrms updated to version 0.90.9 with previous version 0.90.8 dated 2018-03-29

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 0.90.8 dated 2018-03-29 and 0.90.9 dated 2018-04-05

 DESCRIPTION               |    8 ++++----
 MD5                       |   12 ++++++------
 R/Run.StatCharrms.R       |    2 +-
 R/ShowChangeLog.R         |    5 ++++-
 inst/doc/StatCharrms.Rnw  |    8 ++++----
 inst/doc/StatCharrms.pdf  |binary
 vignettes/StatCharrms.Rnw |    8 ++++----
 7 files changed, 23 insertions(+), 20 deletions(-)

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New package SnakesAndLaddersAnalysis with initial version 2.1.0
Package: SnakesAndLaddersAnalysis
Type: Package
Title: Play and Analyse the Game of Snakes and Ladders
Version: 2.1.0
Author: Hector haffenden <haffendenh@cardiff.ac.uk>
Maintainer: Hector Haffenden <haffendenh@cardiff.ac.uk>
Description: Plays the game of Snakes and Ladders and has tools for analyses. The tools included allow you to find the average moves to win, frequency of each square, importance of the snakes and the ladders, the most common square and the plotting of the game played.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-04-03 19:04:50 UTC; hh
Repository: CRAN
Date/Publication: 2018-04-05 14:27:15 UTC

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New package BayesESS with initial version 0.1.12
Package: BayesESS
Type: Package
Title: Determining Effective Sample Size
Version: 0.1.12
Author: Jaejoon Song, Satoshi Morita, J. Jack Lee
Maintainer: Jaejoon Song <jjsong2@mdanderson.org>
Description: Determines effective sample size of a parametric prior distribution in Bayesian models. To learn more about Bayesian effective sample size, see: Morita, S., Thall, P. F., & Muller, P. (2008) <https://www.jstor.org/stable/25502095>.
Depends: MCMCpack, stats, LaplacesDemon
Imports: Rcpp, dfcrm, MatrixModels, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2018-04-03 18:45:54 UTC; JS
Repository: CRAN
Date/Publication: 2018-04-05 14:24:53 UTC

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Package ade4 updated to version 1.7-11 with previous version 1.7-10 dated 2017-12-15

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4 versions 1.7-10 dated 2017-12-15 and 1.7-11 dated 2018-04-05

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 MD5                |   18 ++++++++--------
 NAMESPACE          |    1 
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 R/dudi.coa.R       |    3 ++
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 R/randtest.pcaiv.R |    2 -
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 10 files changed, 97 insertions(+), 19 deletions(-)

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Package relsurv updated to version 2.1-2 with previous version 2.1-1 dated 2017-10-05

Title: Relative Survival
Description: Various functions for relative survival analysis: regression and non-parametric estimators. See Pohar Perme et al (2016), <doi: 10.1186/s12885-016-2967-9> and Pohar et al (2006), <doi: 10.1016/j.cmpb.2006.01.004>.
Author: Maja Pohar Perme [aut, cre], Klemen Pavlic [ctb]
Maintainer: Maja Pohar Perme <maja.pohar@mf.uni-lj.si>

Diff between relsurv versions 2.1-1 dated 2017-10-05 and 2.1-2 dated 2018-04-05

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 man/rsdiff.Rd          |    2 +-
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New package prepplot with initial version 0.7
Package: prepplot
Version: 0.7
Date: 2018-04-03
Title: Prepare Figure Region for Base Graphics
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>
Imports: graphics, grDevices, plotrix, shape
Suggests: bookdown, knitr, ggplot2, gridBase
VignetteBuilder: knitr
Description: A figure region is prepared, creating a plot region with suitable background color, grid lines or shadings, and providing axes and labeling if not suppressed. Subsequently, information carrying graphics elements can be added (points, lines, barplot with add=TRUE and so forth).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-04-03 10:49:55 UTC; Gr<c3><b6>mping
Repository: CRAN
Date/Publication: 2018-04-05 13:14:24 UTC

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New package pcadapt with initial version 4.0.0
Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.0.0
Date: 2018-04-04
Authors@R: c(person("Keurcien", "Luu", role = c("aut"), email = "keurcien.luu@univ-grenoble-alpes.fr"), person("Michael", "Blum", role = c("aut", "cre"), email = "michael.blum@univ-grenoble-alpes.fr"), person("Florian", "Privé", role = c("aut"), email = "florian.prive.21@gmail.com"), person("Eric", "Bazin", role = c("ctb"), email = "eric.bazin@univ-grenoble-alpes.fr"), person("Nicolas", "Duforet-Frebourg", role = c("ctb")))
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <DOI:10.1111/1755-0998.12592>.
License: GPL (>= 2)
Imports: data.table, ggplot2, magrittr, mmapcharr, plotly, Rcpp (>= 0.12.8), robust, RSpectra, vcfR
LinkingTo: Rcpp, BH, mmapcharr
LazyData: TRUE
Suggests: knitr, rmarkdown, testthat, shiny
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2018-04-04 16:27:45 UTC; keurcien
Author: Keurcien Luu [aut], Michael Blum [aut, cre], Florian Privé [aut], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Michael Blum <michael.blum@univ-grenoble-alpes.fr>
Repository: CRAN
Date/Publication: 2018-04-05 15:57:36

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Package DALEX updated to version 0.2.0 with previous version 0.1.1 dated 2018-02-28

Title: Descriptive mAchine Learning EXplanations
Description: Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance, but such black-box models usually lack of interpretability. 'DALEX' package contains various explainers that help to understand the link between input variables and model output. The single_variable() explainer extracts conditional response of a model as a function of a single selected variable. It is a wrapper over packages 'pdp' and 'ALEPlot'. The single_prediction() explainer attributes arts of model prediction to articular variables used in the model. It is a wrapper over 'breakDown' package. The variable_dropout() explainer assess variable importance based on consecutive permutations. All these explainers can be plotted with generic plot() function and compared across different models.
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between DALEX versions 0.1.1 dated 2018-02-28 and 0.2.0 dated 2018-04-05

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 DALEX-0.2.0/DALEX/DESCRIPTION                                |    8 -
 DALEX-0.2.0/DALEX/MD5                                        |   45 ++++--
 DALEX-0.2.0/DALEX/NAMESPACE                                  |   20 ++-
 DALEX-0.2.0/DALEX/NEWS.md                                    |   13 +
 DALEX-0.2.0/DALEX/R/apartments.R                             |only
 DALEX-0.2.0/DALEX/R/explain.R                                |   19 ++
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 DALEX-0.2.0/DALEX/R/plot_single_prediction.R                 |   14 +-
 DALEX-0.2.0/DALEX/R/plot_single_variable.R                   |   72 +++++++++--
 DALEX-0.2.0/DALEX/R/plot_variable_dropout.R                  |   19 +-
 DALEX-0.2.0/DALEX/R/single_prediction.R                      |   25 ++-
 DALEX-0.2.0/DALEX/R/single_variable.R                        |   63 +++++++--
 DALEX-0.2.0/DALEX/R/variable_dropout.R                       |   39 +++--
 DALEX-0.2.0/DALEX/R/zzz.R                                    |    5 
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 33 files changed, 248 insertions(+), 106 deletions(-)

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Package adegraphics updated to version 1.0-10 with previous version 1.0-9 dated 2017-12-15

Title: An S4 Lattice-Based Package for the Representation of Multivariate Data
Description: Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr> and Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>, with contributions from Jean Thioulouse. Based on earlier work by Alice Julien-Laferrière.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between adegraphics versions 1.0-9 dated 2017-12-15 and 1.0-10 dated 2018-04-05

 DESCRIPTION                |   11 
 MD5                        |   36 +-
 NAMESPACE                  |    4 
 R/ADEg.S1.R                |    2 
 R/ADEg.S2.R                |    6 
 R/C1.hist.R                |   33 +-
 R/ade4-plot.R              |  130 ++++++--
 R/ade4-score.R             |   96 ++++--
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 man/plot.inertia.Rd        |    4 
 tests/s1d.hist.R           |only
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 vignettes/adegraphics.bib  |   41 +-
 20 files changed, 655 insertions(+), 474 deletions(-)

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New package SurfaceTortoise with initial version 0.1.0
Package: SurfaceTortoise
Type: Package
Title: Find Optimal Sampling Locations Based on Spatial Covariate(s)
Version: 0.1.0
Author: Kristin Piikki & Mats Soderstrom
Maintainer: Kristin Piikki <kristin.piikki@slu.se>
Description: Create sampling designs using the surface reconstruction algorithm. Original method by: Olsson, D. 2002. A method to optimize soil sampling from ancillary data. Poster presenterad at: NJF seminar no. 336, Implementation of Precision Farming in Practical Agriculture, 10-12 June 2002, Skara, Sweden.
Depends: R (>= 3.4.0)
Imports: raster, gstat, rgeos, sp, gtools, rgdal, utils, grDevices
Suggests: roxygen2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-02 06:41:52 UTC; piikki
Repository: CRAN
Date/Publication: 2018-04-05 12:51:47 UTC

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Package spatstat updated to version 1.55-1 with previous version 1.55-0 dated 2018-01-29

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ottmar Cronie; Yongtao Guan; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Greg McSwiggan; Tuomas Rajala; Suman Rakshit; Dominic Schuhmacher; Rasmus Waagepetersen; and Hangsheng Wang. Additional contributions by M. Adepeju; C. Anderson; Q.W. Ang; J. Astrom; M. Austenfeld; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; K. Colyvas; R. Constantine; R. Corria Ainslie; R. Cotton; M. de la Cruz; P. Dalgaard; M. D'Antuono; S. Das; T. Davies; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; J. Geldmann; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; P. Hewson; K. Hingee; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; C. Icos; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; L. Kozmian-Ledward; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; A. Li; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; F. Mestre; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; I. Moncada; M. Moradi; V. Morera Pujol; E. Mudrak; G.M. Nair; N. Najari; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud; N. Read; M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; P. Shi; H.-J. Ship; T.L. Silva; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; L. Torres; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; S. Wagner; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat versions 1.55-0 dated 2018-01-29 and 1.55-1 dated 2018-04-05

 DESCRIPTION               |   17 +-
 MD5                       |  257 +++++++++++++++----------------
 NAMESPACE                 |   16 +
 NEWS                      |  148 +++++++++++++++++
 R/Gcom.R                  |    4 
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 R/evalcovar.R             |   12 -
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 tests/testsAtoF.R         |   95 ++++++++++-
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 tests/testsLtoM.R         |    9 -
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 131 files changed, 2857 insertions(+), 1013 deletions(-)

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Permanent link

New package x3ptools with initial version 0.0.1
Package: x3ptools
Type: Package
Title: Tools for Working with 3D Surface Measurements
Version: 0.0.1
Date: 2018-03-21
Authors@R: c(person("Heike", "Hofmann", role = c("aut", "cre"), email = "hofmann@iastate.edu"), person("Ganesh", "Krishnan", role = c("aut"), email = "ganeshk@iastate.edu"), person("Eric", "Hare", email = "eric@oaiti.org", role = "aut") )
Maintainer: Heike Hofmann <hofmann@iastate.edu>
Description: The x3p file format is specified in ISO standard 5436:2000 to describe 3d surface measurements. 'x3ptools' allows reading, writing and basic modifications to the 3D surface measurements.
Depends: R (>= 3.3), digest (>= 0.6.15), xml2 (>= 1.2.0), rgl (>= 0.99.9), zoo (>= 1.8.1)
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/heike/x3ptools
BugReports: https://github.com/heike/x3ptools/issues
NeedsCompilation: no
Packaged: 2018-03-30 20:04:01 UTC; heike
Author: Heike Hofmann [aut, cre], Ganesh Krishnan [aut], Eric Hare [aut]
Repository: CRAN
Date/Publication: 2018-04-05 11:22:21 UTC

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New package numbersBR with initial version 0.0.2
Package: numbersBR
Title: Validate, Compare and Format Identification Numbers from Brazil
Version: 0.0.2
Authors@R: person("Wilson", "Freitas", email = "wilson.freitas@gmail.com", role = c("aut", "cre"))
Description: Validate, format and compare identification numbers used in Brazil. These numbers are used to identify individuals (CPF), vehicles (RENAVAN), companies (CNPJ) and etc. Functions to format, validate and compare these numbers have been implemented in a vectorized way in order to speed up validations and comparisons in big datasets.
Depends: R (>= 3.2.2)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 6.0.1
Imports: stringr
Suggests: testthat
Collate: 'util.R' 'CNPJ.R' 'CPF.R' 'RENAVAN.R' 'numbersBR.R'
NeedsCompilation: no
Packaged: 2018-03-31 14:58:26 UTC; wilson
Author: Wilson Freitas [aut, cre]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-05 11:32:17 UTC

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New package DTDA.ni with initial version 1.0
Package: DTDA.ni
Title: Doubly Truncated Data Analysis, Non Iterative
Version: 1.0
Authors@R: c( person("Jacobo", "de Uña Álvarez", email = "jacobo@uvigo.es", role = "aut"), person("José Carlos", "Soage González", email = "jsoage@uvigo.es", role = "cre"))
Maintainer: José Carlos Soage González <jsoage@uvigo.es>
Description: Non-iterative estimator for the cumulative distribution of a doubly truncated variable. de Uña-Álvarez J. (2018) <doi:10.1007/978-3-319-73848-2_37>.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/sidoruvigo/DTDA.ni
NeedsCompilation: no
Packaged: 2018-03-30 17:32:44 UTC; JoseCarlos
Author: Jacobo de Uña Álvarez [aut], José Carlos Soage González [cre]
Repository: CRAN
Date/Publication: 2018-04-05 10:50:05 UTC

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Package TVsMiss updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-13

Title: Variable Selection for Missing Data
Description: Use a regularization likelihood method to achieve variable selection purpose. Likelihood can be worked with penalty lasso, smoothly clipped absolute deviations (SCAD), and minimax concave penalty (MCP). Tuning parameter selection techniques include cross validation (CV), Bayesian information criterion (BIC) (low and high), stability of variable selection (sVS), stability of BIC (sBIC), and stability of estimation (sEST). More details see Jiwei Zhao, Yang Yang, and Yang Ning (2018) <arXiv:1703.06379> "Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data." Statistica Sinica.
Author: Jiwei Zhao, Yang Yang, and Ning Yang
Maintainer: Yang Yang <yyang39@buffalo.edu>

Diff between TVsMiss versions 0.1.0 dated 2018-03-13 and 0.1.1 dated 2018-04-05

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Package rasterVis updated to version 0.44 with previous version 0.43 dated 2018-01-10

Title: Visualization Methods for Raster Data
Description: Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.
Author: Oscar Perpinan Lamigueiro [cre, aut] (<https://orcid.org/0000-0002-4134-7196>), Robert Hijmans [aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>

Diff between rasterVis versions 0.43 dated 2018-01-10 and 0.44 dated 2018-04-05

 DESCRIPTION           |   11 ++++++-----
 MD5                   |    6 +++---
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Package pbdMPI updated to version 0.3-5 with previous version 0.3-4 dated 2018-01-04

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdMPI versions 0.3-4 dated 2018-01-04 and 0.3-5 dated 2018-04-05

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Package ggridges updated to version 0.5.0 with previous version 0.4.1 dated 2017-09-15

Title: Ridgeline Plots in 'ggplot2'
Description: Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
Author: Claus O. Wilke [cre, aut], RStudio [cph] (Copyright for ggplot2 code copied to ggridges)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between ggridges versions 0.4.1 dated 2017-09-15 and 0.5.0 dated 2018-04-05

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