Fri, 19 Aug 2016

Package spsurvey updated to version 3.3 with previous version 3.2 dated 2016-08-16

Title: Spatial Survey Design and Analysis
Description: This group of functions implements algorithms for design and analysis of probability surveys. The functions are tailored for Generalized Random Tessellation Stratified survey designs.
Author: Tom Kincaid [aut, cre], Tony Olsen [aut], Don Stevens [ctb], Christian Platt [ctb], Denis White [ctb], Richard Remington [ctb]
Maintainer: Tom Kincaid <Kincaid.Tom@epa.gov>

Diff between spsurvey versions 3.2 dated 2016-08-16 and 3.3 dated 2016-08-19

 spsurvey-3.2/spsurvey/src/order.h                     |only
 spsurvey-3.3/spsurvey/DESCRIPTION                     |   10 +
 spsurvey-3.3/spsurvey/MD5                             |  103 ++++++++----------
 spsurvey-3.3/spsurvey/R/AAA.R                         |    2 
 spsurvey-3.3/spsurvey/R/grts.R                        |    7 +
 spsurvey-3.3/spsurvey/R/grtsarea.R                    |    7 +
 spsurvey-3.3/spsurvey/R/grtslin.R                     |    7 +
 spsurvey-3.3/spsurvey/R/grtspts.R                     |    7 +
 spsurvey-3.3/spsurvey/R/irs.R                         |    7 +
 spsurvey-3.3/spsurvey/R/irsarea.R                     |    7 +
 spsurvey-3.3/spsurvey/R/irslin.R                      |    7 +
 spsurvey-3.3/spsurvey/R/read.dbf.R                    |    7 +
 spsurvey-3.3/spsurvey/R/read.shape.R                  |    7 +
 spsurvey-3.3/spsurvey/R/sbcframe.R                    |    7 +
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 spsurvey-3.3/spsurvey/vignettes/Change_Analysis.Rnw   |    2 
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 53 files changed, 335 insertions(+), 184 deletions(-)

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New package sparsebn with initial version 0.0.1
Package: sparsebn
Title: Learning Sparse Bayesian Networks from High-Dimensional Data
Version: 0.0.1
Date: 2016-08-12
Authors@R: person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre"))
Maintainer: Bryon Aragam <sparsebn@gmail.com>
Description: Fast methods for learning sparse Bayesian networks from high-dimensional data using sparse regularization. Designed to incorporate mixed experimental and observational data with thousands of variables with either continuous or discrete observations.
Depends: R (>= 3.2.3), sparsebnUtils, ccdrAlgorithm, discretecdAlgorithm
Suggests: knitr, rmarkdown, mvtnorm, igraph, graph, testthat
URL: https://github.com/itsrainingdata/sparsebn
BugReports: https://github.com/itsrainingdata/sparsebn/issues
License: GPL (>= 2)
RoxygenNote: 5.0.1
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2016-08-19 15:30:13 UTC; Zigmund-2
Author: Bryon Aragam [aut, cre]
Repository: CRAN
Date/Publication: 2016-08-19 21:42:53

More information about sparsebn at CRAN
Permanent link

Package sbtools updated to version 1.1.3 with previous version 1.0.2 dated 2016-06-23

Title: USGS ScienceBase Tools
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Author: Luke Winslow [aut, cre], Scott Chamberlain [aut], Alison Appling [aut], Jordan Read [aut]
Maintainer: Luke Winslow <lwinslow@usgs.gov>

Diff between sbtools versions 1.0.2 dated 2016-06-23 and 1.1.3 dated 2016-08-19

 DESCRIPTION               |   10 +++++-----
 MD5                       |   20 ++++++++++----------
 NAMESPACE                 |    2 ++
 NEWS.md                   |   17 +++++++++++++++++
 R/REST_helpers.R          |   23 ++++++++++++++++++-----
 R/item_list_children.R    |   24 ++++--------------------
 R/item_rm.R               |    2 +-
 R/item_rm_recursive.R     |   10 ++++------
 R/items_create.R          |    4 ++--
 README.md                 |    1 -
 man/item_list_children.Rd |   10 +++-------
 11 files changed, 66 insertions(+), 57 deletions(-)

More information about sbtools at CRAN
Permanent link

Package RQuantLib updated to version 0.4.3 with previous version 0.4.2 dated 2015-12-03

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen (during 2009-2010), Terry Leitch (2016)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.2 dated 2015-12-03 and 0.4.3 dated 2016-08-19

 ChangeLog                                    |  119 +++++++++++
 DESCRIPTION                                  |   22 +-
 MD5                                          |   65 +++---
 NAMESPACE                                    |   13 +
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 src/utils.cpp                                |   12 +
 38 files changed, 1042 insertions(+), 357 deletions(-)

More information about RQuantLib at CRAN
Permanent link

Package neotoma updated to version 1.6.1 with previous version 1.6.0 dated 2016-07-27

Title: Access to the Neotoma Paleoecological Database Through R
Description: Access paleoecological datasets from the Neotoma Paleoecological Database using the published API (http://api.neotomadb.org/). The functions in this package access various pre-built API functions and attempt to return the results from Neotoma in a usable format for researchers and the public.
Author: Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb], Karthik Ram [aut], Luke Sosalla [ctb]
Maintainer: Simon J. Goring <goring@wisc.edu>

Diff between neotoma versions 1.6.0 dated 2016-07-27 and 1.6.1 dated 2016-08-19

 DESCRIPTION                          |   10 ++--
 MD5                                  |   26 +++++++----
 NAMESPACE                            |   11 ++++
 NEWS                                 |    7 +++
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 tests/testthat/test_neotoma.R        |   10 ++++
 19 files changed, 129 insertions(+), 37 deletions(-)

More information about neotoma at CRAN
Permanent link

New package apa with initial version 0.1.0
Package: apa
Type: Package
Title: Format Outputs of Statistical Tests According to APA Guidelines
Version: 0.1.0
Authors@R: person("Daniel", "Gromer", email = "dgromer@mailbox.org", role = c("aut", "cre"))
Description: Formatter functions in the 'apa' package take the return value of a statistical test function, e.g. a call to chisq.test() and return a string formatted according to the guidelines of the APA (American Psychological Association).
URL: https://github.com/dgromer/apa
BugReports: https://github.com/dgromer/apa/issues
License: GPL (>= 3)
Depends: R (>= 3.1.0)
Imports: dplyr (>= 0.4), magrittr, purrr, rmarkdown, stringr
Suggests: afex (>= 0.14), ez, testthat, knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-08-19 18:05:34 UTC; daniel
Author: Daniel Gromer [aut, cre]
Maintainer: Daniel Gromer <dgromer@mailbox.org>
Repository: CRAN
Date/Publication: 2016-08-19 21:46:19

More information about apa at CRAN
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Package SwarmSVM updated to version 0.1-2 with previous version 0.1 dated 2015-07-15

Title: Ensemble Learning Algorithms Based on Support Vector Machines
Description: Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.
Author: Tong He <hetong007@gmail.com>, Aydin Demircioglu <aydin.demircioglu@ini.ruhr-uni-bochum.de>
Maintainer: Tong He <hetong007@gmail.com>

Diff between SwarmSVM versions 0.1 dated 2015-07-15 and 0.1-2 dated 2016-08-19

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 SwarmSVM-0.1-2/SwarmSVM/R/alphasvm.R                          | 1936 +++++-----
 SwarmSVM-0.1-2/SwarmSVM/R/clusterSVM.R                        |  656 +--
 SwarmSVM-0.1-2/SwarmSVM/R/compute.r                           |   66 
 SwarmSVM-0.1-2/SwarmSVM/R/dcSVM.R                             |  813 ++--
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 SwarmSVM-0.1-2/SwarmSVM/R/gaterSVM.R                          |  514 +-
 SwarmSVM-0.1-2/SwarmSVM/R/neuralnet.r                         | 1876 ++++-----
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Package stringr updated to version 1.1.0 with previous version 1.0.0 dated 2015-04-30

Title: Simple, Consistent Wrappers for Common String Operations
Description: A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
Author: Hadley Wickham [aut, cre, cph], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between stringr versions 1.0.0 dated 2015-04-30 and 1.1.0 dated 2016-08-19

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More information about stringr at CRAN
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Package R6 updated to version 2.1.3 with previous version 2.1.2 dated 2016-01-25

Title: Classes with Reference Semantics
Description: The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Author: Winston Chang [aut, cre]
Maintainer: Winston Chang <winston@stdout.org>

Diff between R6 versions 2.1.2 dated 2016-01-25 and 2.1.3 dated 2016-08-19

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Package PSF updated to version 0.3 with previous version 0.2.1 dated 2016-06-18

Title: Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
Description: Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
Author: Neeraj Bokde, Gualberto Asencio-Cortes and Francisco Martinez-Alvarez
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>

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Package CDF.PSIdekick updated to version 1.2 with previous version 1.1 dated 2016-08-18

Title: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions
Description: Designed by and for the community of differential privacy algorithm developers. It can be used to empirically evaluate and visualize Cumulative Distribution Functions incorporating noise that satisfies differential privacy, with numerous options made to streamline collection of utility measurements across variations of key parameters, such as epsilon, domain size, sample size, data shape, etc. Developed by researchers at Harvard PSI.
Author: Daniel Muise [aut,cre], Kobbi Nissim [aut], Georgios Kellaris [aut]
Maintainer: Daniel Muise <dmuise@stanford.edu>

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Package BGLR updated to version 1.0.5 with previous version 1.0.4 dated 2015-04-07

Title: Bayesian Generalized Linear Regression
Description: Bayesian Generalized Linear Regression.
Author: Gustavo de los Campos, Paulino Perez Rodriguez,
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package sdcMicro updated to version 4.6.1 with previous version 4.6.0 dated 2015-10-01

Title: Statistical Disclosure Control Methods for Anonymization of Microdata and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. Note that the package 'sdcMicroGUI' includes a graphical user interface for various methods in this package.
Author: Matthias Templ, Alexander Kowarik, Bernhard Meindl
Maintainer: Matthias Templ <matthias.templ@gmail.com>

Diff between sdcMicro versions 4.6.0 dated 2015-10-01 and 4.6.1 dated 2016-08-19

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Permanent link

Package protolite updated to version 1.4 with previous version 1.3 dated 2016-07-06

Title: Fast and Simple Object Serialization to Protocol Buffers
Description: Optimized C++ implementations for reading and writing protocol-buffers. Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between protolite versions 1.3 dated 2016-07-06 and 1.4 dated 2016-08-19

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Permanent link

New package okcupiddata with initial version 0.1.0
Package: okcupiddata
Title: OkCupid Profile Data for Introductory Statistics and Data Science Courses
Version: 0.1.0
Authors@R: c( person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = c("aut", "cre")), person("Adriana", "Escobedo-Land", email = "land.escbd@gmail.com", role = "aut") )
Description: Cleaned profile data from "OkCupid Profile Data for Introductory Statistics and Data Science Courses" (Journal of Statistics Education 2015 <http://www.amstat.org/publications/jse/v23n2/kim.pdf>).
Depends: R (>= 2.10)
License: CC0
Encoding: UTF-8
LazyData: TRUE
URL: http://github.com/rudeboybert/okcupiddata
BugReports: https://github.com/rudeboybert/okcupiddata/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-19 13:41:04 UTC; aykim
Author: Albert Y. Kim [aut, cre], Adriana Escobedo-Land [aut]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>
Repository: CRAN
Date/Publication: 2016-08-19 17:05:06

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Package magick updated to version 0.2.2 with previous version 0.2.1 dated 2016-08-10

Title: Advanced Image-Processing in R
Description: Bindings to ImageMagick: the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between magick versions 0.2.1 dated 2016-08-10 and 0.2.2 dated 2016-08-19

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New package iprior with initial version 0.6.1
Package: iprior
Type: Package
Title: Linear Regression using I-Priors
Version: 0.6.1
Date: 2016-08-19
Author: Haziq Jamil
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>
Description: In a linear regression setting, priors can be assigned to the regression function using a vector space framework, and the posterior estimate of the regression function obtained. I-priors are a class of such priors based on the principle of maximum entropy. While the main interest of I-prior modelling is prediction, inference is also possible, e.g. via log-likelihood ratio tests. This package supports both formula and non-formula based input. Estimation is mainly done via an EM algorithm, but there is flexibility in using any R optimiser to maximise the log-likelihood computed by the kernel loader function.
Imports: methods, RColorBrewer, Rcpp (>= 0.12.6)
LinkingTo: Rcpp, RcppEigen
License: GPL (>= 3.0)
Suggests: knitr, MASS, rmarkdown, testthat
RoxygenNote: 5.0.1
VignetteBuilder: knitr
URL: http://github.com/haziqjamil/iprior
BugReports: http://github.com/haziqjamil/iprior/issues
NeedsCompilation: yes
Packaged: 2016-08-19 12:06:26 UTC; haziqjamil
Repository: CRAN
Date/Publication: 2016-08-19 17:05:03

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Package iLaplace updated to version 1.1.0 with previous version 1.0.0 dated 2015-09-28

Title: Improved Laplace Approximation for Integrals of Unimodal Functions
Description: Improved Laplace approximation for integrals of unimodal functions. The method requires user-supplied R functions for: the integrand, its gradient and its Hessian matrix. The computations are run in parallel.
Author: Erlis Ruli [aut, cre], Nicola Sartori [aut], Laura Ventura [aut]
Maintainer: Erlis Ruli <erlisr@yahoo.it>

Diff between iLaplace versions 1.0.0 dated 2015-09-28 and 1.1.0 dated 2016-08-19

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Package glamlasso updated to version 2.0.1 with previous version 2.0 dated 2016-08-03

Title: Penalization in Large Scale Generalized Linear Array Models
Description: Efficient design matrix free procedure for penalized estimation in large scale 2 and 3-dimensional generalized linear array models. Currently either Lasso or SCAD penalized estimation is possible for the followings models: The Gaussian model with identity link, the Binomial model with logit link, the Poisson model with log link and the Gamma model with log link.
Author: Adam Lund
Maintainer: Adam Lund <adam.lund@math.ku.dk>

Diff between glamlasso versions 2.0 dated 2016-08-03 and 2.0.1 dated 2016-08-19

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Package SPIAssay updated to version 1.1.0 with previous version 1.0.0 dated 2011-08-04

Title: A Genetic-Based Assay for the Identification of Cell Lines
Description: The SNP Panel Identification Assay (SPIA) is a package that enables an accurate determination of cell line identity from the genotype of single nucleotide polymorphisms (SNPs). The SPIA test allows to discern when two cell lines are close enough to be called similar and when they are not. Details about the method are available at "Demichelis et al. (2008) SNP panel identification assay (SPIA): a genetic-based assay for the identification of cell lines. Nucleic Acids Res., 3, 2446-2456".
Author: Francesca Demichelis <francesca.demichelis@unitn.it>, Davide Prandi <davide.prandi@unitn.it>
Maintainer: Davide Prandi <davide.prandi@unitn.it>

Diff between SPIAssay versions 1.0.0 dated 2011-08-04 and 1.1.0 dated 2016-08-19

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New package sentimentr with initial version 0.2.3
Package: sentimentr
Title: Calculate Text Polarity Sentiment
Version: 0.2.3
Authors@R: c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>
Description: Calculate text polarity sentiment at the sentence level and optionally aggregate by rows or grouping variable(s).
Depends: R (>= 3.1.0)
Suggests: testthat
Imports: data.table, ggplot2, graphics, grid, methods, stats, stringi, syuzhet, utils
Date: 2016-08-19
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-19 04:26:35 UTC; Tyler
Author: Tyler Rinker [aut, cre]
Repository: CRAN
Date/Publication: 2016-08-19 14:02:38

More information about sentimentr at CRAN
Permanent link

Package rportfolios updated to version 1.0-1 with previous version 1.0 dated 2012-01-06

Title: Random Portfolio Generation
Description: A collection of tools used to generate various types of random portfolios. The weights of these portfolios are random variables derived from truncated continuous random variables.
Author: Frederick Novomestky <fn334@nyu.edu>
Maintainer: Frederick Novomestky <fn334@nyu.edu>

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Package RepeatABEL updated to version 1.1 with previous version 1.0 dated 2015-11-24

Title: GWAS for Multiple Observations on Related Individuals
Description: Performs genome-wide association studies on individuals that are both related and have repeated measurements.
Author: Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>

Diff between RepeatABEL versions 1.0 dated 2015-11-24 and 1.1 dated 2016-08-19

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New package NMI with initial version 1.0
Package: NMI
Title: Normalized Mutual Information of Community Structure in Network
Version: 1.0
Authors@R: person("Tianhao", "Wu", email = "tianhao.wu@yale.edu", role = c("aut", "cre"))
Description: Calculates the normalized mutual information (NMI) of two community structures in network analysis.
Depends: R (>= 3.2.2)
License: GNU General Public License version 2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-19 05:35:05 UTC; tianhaowu
Author: Tianhao Wu [aut, cre]
Maintainer: Tianhao Wu <tianhao.wu@yale.edu>
Repository: CRAN
Date/Publication: 2016-08-19 14:04:49

More information about NMI at CRAN
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Package downscale updated to version 1.2-2 with previous version 1.2-1 dated 2016-03-10

Title: Downscaling Species Occupancy
Description: A set of functions that downscales species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes.
Author: Charles Marsh [aut, cre]
Maintainer: Charles Marsh <charliem2003@gmail.com>

Diff between downscale versions 1.2-1 dated 2016-03-10 and 1.2-2 dated 2016-08-19

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Package clusrank updated to version 0.4-1 with previous version 0.2-3 dated 2016-07-18

Title: Wilcoxon Rank Sum Test for Clustered Data
Description: Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data.
Author: Yujing Jiang [aut, cre], Mei-Ling Ting Lee [ctb], Jun Yan [ctb]
Maintainer: Yujing Jiang <yujing.jiang@uconn.edu>

Diff between clusrank versions 0.2-3 dated 2016-07-18 and 0.4-1 dated 2016-08-19

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More information about clusrank at CRAN
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