Tue, 02 Oct 2018

Package shinyAce updated to version 0.3.2 with previous version 0.3.1 dated 2018-05-15

Title: Ace Editor Bindings for Shiny
Description: Ace editor bindings to enable a rich text editing environment within Shiny.
Author: Vincent Nijs [aut, cre], Forest Fang [aut], Trestle Technology, LLC [aut], Jeff Allen [aut], Institut de Radioprotection et de Surete Nucleaire [cph], Ajax.org B.V. [ctb, cph] (Ace)
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package vegdata updated to version 0.9.3 with previous version 0.9.1 dated 2017-08-21

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources ( Turboveg <http://www.synbiosys.alterra.nl/turboveg/>; the German national repository <http://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <http://germansl.infinitenature.org>).
Author: Florian Jansen <florian.jansen@uni-rostock.de>
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

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Package rstudioapi updated to version 0.8 with previous version 0.7 dated 2017-09-07

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: JJ Allaire [aut, cre], Hadley Wickham [aut], Kevin Ushey [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package mlrCPO updated to version 0.3.4-1 with previous version 0.3.4 dated 2018-07-02

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.
Author: Martin Binder [aut, cre], Bernd Bischl [ctb], Michel Lang [ctb], Lars Kotthoff [ctb]
Maintainer: Martin Binder <developer.mb706@doublecaret.com>

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Package conflicted updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-15

Title: An Alternative Conflict Resolution Strategy
Description: R's default conflict management system gives the most recently loaded package precedence. This can make it hard to detect conflicts, particularly when they arise because a package update creates ambiguity that did not previously exist. 'conflicted' takes a different approach, making every conflict an error and forcing you to choose which function to use.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between conflicted versions 1.0.0 dated 2018-09-15 and 1.0.1 dated 2018-10-02

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Package vimp updated to version 1.1.3 with previous version 1.1.2 dated 2018-09-20

Title: Nonparametric Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (2017) <https://biostats.bepress.com/uwbiostat/paper422/>.
Author: Brian D. Williamson [aut, cre], Noah Simon [aut], Marco Carone [aut]
Maintainer: Brian D. Williamson <brianw26@uw.edu>

Diff between vimp versions 1.1.2 dated 2018-09-20 and 1.1.3 dated 2018-10-02

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Package BASiNET updated to version 0.0.4 with previous version 0.0.3 dated 2018-04-18

Title: Classification of RNA Sequences using Complex Network Theory
Description: It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of threshold for the purpose of making a classification between the classes of the sequences. There are four data present in the 'BASiNET' package, "sequences", "sequences2", "sequences-predict" and "sequences2-predict" with 11, 10, 11 and 11 sequences respectively. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples. The BASiNET was published on Nucleic Acids Research, (ITO, Eric; KATAHIRA, Isaque; VICENTE, Fábio; PEREIRA, Felipe; LOPES, Fabrício, 2018) <doi:10.1093/nar/gky462>.
Author: Eric Augusto Ito
Maintainer: Eric Augusto Ito <ericaugustoito@hotmail.com>

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Package xxIRT updated to version 2.1.1 with previous version 2.1.0 dated 2018-07-05

Title: Item Response Theory and Computer-Based Testing in R
Description: A suite of practical psychometric analysis and research tools of item response theory, including the 3-parameter-logistic model and the generalized partial credit model as well as functions to perform: (1) parameter estimation, (2) automated test assembly, (3) simulation of computerized adaptive testing (CAT), and (4) assembly and simulation of multistage testing. More documentation at <https://github.com/xluo11/xxIRT>.
Author: Xiao Luo [aut, cre]
Maintainer: Xiao Luo <xluo1986@gmail.com>

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New package tensorBF with initial version 1.0.2
Package: tensorBF
Type: Package
Title: Bayesian Tensor Factorization
Version: 1.0.2
Date: 2018-10-01
Authors@R: c(person("Suleiman A", "Khan", role = c("aut","cre"), email = "khan.suleiman@gmail.com"), person("Muhammad", "Ammad-ud-din", role = "aut", email = "muhammad.ammad-ud-din@aalto.fi"))
Author: Suleiman A Khan [aut, cre], Muhammad Ammad-ud-din [aut]
Maintainer: Suleiman A Khan <khan.suleiman@gmail.com>
Description: Bayesian Tensor Factorization for decomposition of tensor data sets using the trilinear CANDECOMP/PARAFAC (CP) factorization, with automatic component selection. The complete data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The method performs factorization for three-way tensor datasets and the inference is implemented with Gibbs sampling.
License: MIT + file LICENSE
Imports: tensor, methods
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-02 07:20:14 UTC; skhan
Repository: CRAN
Date/Publication: 2018-10-02 18:10:03 UTC

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Package SwissAir updated to version 1.1.5 with previous version 1.1.4 dated 2012-11-01

Title: Air Quality Data of Switzerland for One Year in 30 Min Resolution
Description: Ozone, NOx (= Sum of nitrogen monoxide and nitrogen dioxide), nitrogen monoxide, ambient temperature, dew point, wind speed and wind direction at 3 sites around lake of Lucerne in Central Switzerland in 30 min time resolution for year 2004.
Author: Rene Locher
Maintainer: Rene Locher <rene.locher@zhaw.ch>

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Package Rpolyhedra updated to version 0.2.7 with previous version 0.2.6 dated 2018-07-10

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

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Package rexpokit updated to version 0.26.6 with previous version 0.26.3 dated 2018-05-06

Title: R Wrappers for EXPOKIT; Other Matrix Functions
Description: Wraps some of the matrix exponentiation utilities from EXPOKIT (<http://www.maths.uq.edu.au/expokit/>), a FORTRAN library that is widely recommended for matrix exponentiation (Sidje RB, 1998. "Expokit: A Software Package for Computing Matrix Exponentials." ACM Trans. Math. Softw. 24(1): 130-156). EXPOKIT includes functions for exponentiating both small, dense matrices, and large, sparse matrices (in sparse matrices, most of the cells have value 0). Rapid matrix exponentiation is useful in phylogenetics when we have a large number of states (as we do when we are inferring the history of transitions between the possible geographic ranges of a species), but is probably useful in other ways as well.
Author: Nicholas J. Matzke [aut, cre, cph], Roger B. Sidje [aut, cph], Drew Schmidt [aut]
Maintainer: ORPHANED

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Package NLMR updated to version 0.3.2 with previous version 0.3.1 dated 2018-09-28

Title: Simulating Neutral Landscape Models
Description: Provides neutral landscape models (<doi:10.1007/BF02275262>, <http://sci-hub.tw/10.1007/bf02275262>). Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'nlmr' combines a large number of algorithms from other published software for simulating neutral landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
Author: Marco Sciaini [aut, cre] (<https://orcid.org/0000-0002-3042-5435>), Matthias Fritsch [aut], Craig Simpkins [aut] (<https://orcid.org/0000-0003-3212-1379>), Cédric Scherer [aut] (<https://orcid.org/0000-0003-0465-2543>), Laura Graham [rev] (Laura reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188), Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/188)
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>

Diff between NLMR versions 0.3.1 dated 2018-09-28 and 0.3.2 dated 2018-10-02

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Package equateIRT updated to version 2.1.0 with previous version 2.0-5 dated 2018-06-08

Title: IRT Equating Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items (Battauz (2013) <doi:10.1007/s11336-012-9316-y>, Battauz (2015) <doi:10.18637/jss.v068.i07>). Test scoring can be performed by true score equating and observed score equating methods. DIF detection can be performed using a Wald-type test (Battauz (2018) <doi:10.1007/s10260-018-00442-w>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package crfsuite updated to version 0.1.1 with previous version 0.1 dated 2018-09-28

Title: Conditional Random Fields for Labelling Sequential Data in Natural Language Processing
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users to fit a Conditional Random Field model and to apply it on existing data. The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application is included in the package to allow you to easily construct training data.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed), libLBFGS library (MIT licensed), Constant Quark Database software (BSD licensed)), Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)), Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)), Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between crfsuite versions 0.1 dated 2018-09-28 and 0.1.1 dated 2018-10-02

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Package whitechapelR updated to version 0.3.0 with previous version 0.2.1 dated 2018-07-31

Title: Advanced Policing Techniques for the Board Game "Letters from Whitechapel"
Description: Provides a set of functions to make tracking the hidden movements of the 'Jack' player easier. By tracking every possible path Jack might have traveled from the point of the initial murder including special movement such as through alleyways and via carriages, the police can more accurately narrow the field of their search. Additionally, by tracking all possible hideouts from round to round, rounds 3 and 4 should have a vastly reduced field of search.
Author: Mark Ewing [aut, cre]
Maintainer: Mark Ewing <b.mark@ewingsonline.com>

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New package synoptReg with initial version 0.1.0
Package: synoptReg
Type: Package
Title: Synoptic Climate Classification and Spatial Regionalization of Environmental Data
Version: 0.1.0
Depends: R (>= 2.10)
Author: Marc Lemus-Canovas
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>
Description: Computes a synoptic climate classification through daily reanalysis data and creates a climate or environmental regionalization.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ncdf4, zoo, fields, raster, maps
NeedsCompilation: no
RoxygenNote: 6.1.0
Packaged: 2018-09-28 12:01:52 UTC; Marc
Repository: CRAN
Date/Publication: 2018-10-02 18:00:02 UTC

More information about synoptReg at CRAN
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Package stability updated to version 0.5.0 with previous version 0.4.0 dated 2018-09-10

Title: Stability Analysis of Genotype by Environment Interaction (GEI)
Description: Functionalities to perform Stability Analysis of Genotype by Environment Interaction (GEI) to identify superior and stable genotypes under diverse environments. It performs Eberhart & Russel's ANOVA (1966) (<doi:10.2135/cropsci1966.0011183X000600010011x>), Finlay and Wilkinson (1963) Joint Linear Regression (<doi:10.1071/AR9630742>), Wricke (1962, 1964) Ecovalence, Shukla's stability variance parameter (1972) (<doi:10.1038/hdy.1972.87>) and Kang's (1991) (<doi:10.2134/agronj1991.00021962008300010037x>) simultaneous selection for high yielding and stable parameter.
Author: Muhammad Yaseen [aut, cre], Kent M. Eskridge [aut, ctb], Ghulam Murtaza [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between stability versions 0.4.0 dated 2018-09-10 and 0.5.0 dated 2018-10-02

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Package samplingVarEst updated to version 1.3 with previous version 1.2 dated 2018-09-22

Title: Sampling Variance Estimation
Description: Functions to calculate some point estimators and estimating their variance under unequal probability sampling without replacement. Single and two stage sampling designs are considered. Some approximations for the second order inclusion probabilities are also available (sample and population based). A variety of Jackknife variance estimators are implemented. Almost every function is written in C (compiled) code for faster results. The functions incorporate some performance improvements for faster results with large datasets.
Author: Emilio Lopez Escobar [aut, cre, cph] <emilio@numerika.mx>, Ernesto Barrios Zamudio [ctb] <ebarrios@itam.mx>, Juan Francisco Munoz Rosas [ctb] <jfmunoz@go.ugr.es>
Maintainer: Emilio Lopez Escobar <emilio@numerika.mx>

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Package funData updated to version 1.3-1 with previous version 1.3 dated 2018-08-09

Title: An S4 Class for Functional Data
Description: S4 classes for univariate and multivariate functional data with utility functions.
Author: Clara Happ [aut, cre]
Maintainer: Clara Happ <clara.happ@stat.uni-muenchen.de>

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Package capm updated to version 0.13.5 with previous version 0.11.0 dated 2017-05-05

Title: Companion Animal Population Management
Description: Quantitative analysis to support companion animal population management. Some functions assist survey sampling tasks (calculate sample size for simple and complex designs, select sampling units and estimate population parameters) while others assist the modelling of population dynamics. For demographic characterizations and population management evaluations see: "Baquero, et al." (2018), <doi:10.1016/j.prevetmed.2018.07.006>. For modelling of population dynamics see: "Baquero et al." (2016), <doi:10.1016/j.prevetmed.2015.11.009>. For sampling methods see: "Levy PS & Lemeshow S" (2013), "ISBN-10: 0470040076"; "Lumley" (2010), "ISBN: 978-0-470-28430-8".
Author: Oswaldo Santos Baquero [aut, cre], Marcos Amaku [ctb], Fernando Ferreira [ctb]
Maintainer: Oswaldo Santos Baquero <baquero@usp.br>

Diff between capm versions 0.11.0 dated 2017-05-05 and 0.13.5 dated 2018-10-02

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Package sjstats updated to version 0.17.1 with previous version 0.17.0 dated 2018-08-20

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' and other model objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models, mixed effects models and Bayesian models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package paleotree updated to version 3.1.3 with previous version 3.1.0 dated 2018-07-03

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Provides tools for transforming, a posteriori time-scaling, and modifying phylogenies containing extinct (i.e. fossil) lineages. In particular, most users are interested in the functions timePaleoPhy(), bin_timePaleoPhy(), cal3TimePaleoPhy() and bin_cal3TimePaleoPhy(), which date cladograms of fossil taxa using stratigraphic data. This package also contains a large number of likelihood functions for estimating sampling and diversification rates from different types of data available from the fossil record (e.g. range data, occurrence data, etc). paleotree users can also simulate diversification and sampling in the fossil record using the function simFossilRecord(), which is a detailed simulator for branching birth-death-sampling processes composed of discrete taxonomic units arranged in ancestor-descendant relationships. Users can use simFossilRecord() to simulate diversification in incompletely sampled fossil records, under various models of morphological differentiation (i.e. the various patterns by which morphotaxa originate from one another), and with time-dependent, longevity-dependent and/or diversity-dependent rates of diversification, extinction and sampling. Additional functions allow users to translate simulated ancestor-descendant data from simFossilRecord() into standard time-scaled phylogenies or unscaled cladograms that reflect the relationships among taxon units.
Author: David W. Bapst, Peter J. Wagner
Maintainer: David W. Bapst <dwbapst@gmail.com>

Diff between paleotree versions 3.1.0 dated 2018-07-03 and 3.1.3 dated 2018-10-02

 CHANGELOG                           |    8 
 DESCRIPTION                         |   10 
 MD5                                 |  299 ++++++-------
 NAMESPACE                           |    4 
 R/DiversityCurves.R                 |  260 +++++------
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 R/binTimeData.R                     |   88 ++--
 R/branchClasses.R                   |   56 +-
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More information about paleotree at CRAN
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Package texPreview updated to version 1.2.2 with previous version 1.1.5 dated 2018-08-15

Title: Compile and Preview Snippets of 'LaTeX' in 'RStudio'
Description: Compile and preview snippets of 'LaTeX'. Can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents. Must have 'pdflatex' or 'xelatex' or 'lualatex' in 'PATH'.
Author: Jonathan Sidi [aut, cre], Daniel Polhamus [aut]
Maintainer: Jonathan Sidi <yonis@metrumrg.com>

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Package CalibrateSSB updated to version 1.1 with previous version 1.0 dated 2016-04-28

Title: Weighting and Estimation for Panel Data with Non-Response
Description: Functions to calculate weights, estimates of changes and corresponding variance estimates for panel data with non-response.
Author: Øyvind Langsrud
Maintainer: Oyvind Langsrud <oyl@ssb.no>

Diff between CalibrateSSB versions 1.0 dated 2016-04-28 and 1.1 dated 2018-10-02

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Permanent link

Package IDPmisc updated to version 1.1.18 with previous version 1.1.17 dated 2012-11-02

Title: 'Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)'
Description: Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra.
Author: Rene Locher [aut, cre], Andreas Ruckstuhl [ctb]
Maintainer: Rene Locher <rene.locher@zhaw.ch>

Diff between IDPmisc versions 1.1.17 dated 2012-11-02 and 1.1.18 dated 2018-10-02

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 NAMESPACE              |   24 ++++-
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 R/rfbaseline.R         |  224 +++++++++++++++++++++++--------------------------
 data/MS.rda            |binary
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More information about IDPmisc at CRAN
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Package VICmodel (with last version 0.1.0) was removed from CRAN

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

2018-09-17 0.1.0

Permanent link
Package rcss (with last version 1.6) was removed from CRAN

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

2018-08-19 1.6

Permanent link
Package SensusR updated to version 2.3.0 with previous version 2.2.0 dated 2017-07-11

Title: Sensus Analytics
Description: Provides access and analytic functions for Sensus data.
Author: Matthew S. Gerber
Maintainer: Matthew S. Gerber <gerber.matthew@gmail.com>

Diff between SensusR versions 2.2.0 dated 2017-07-11 and 2.3.0 dated 2018-10-02

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More information about SensusR at CRAN
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