Tue, 08 Jan 2019

Package piggyback updated to version 0.0.9 with previous version 0.0.8 dated 2018-10-06

Title: Managing Larger Data on a GitHub Repository
Description: Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Mark Padgham [ctb] (<https://orcid.org/0000-0003-2172-5265>), Jeffrey O Hanson [ctb] (<https://orcid.org/0000-0002-4716-6134>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package rbi updated to version 0.10.1 with previous version 0.10.0 dated 2018-12-11

Title: R Interface to LibBi
Description: Provides a complete R interface to LibBi, a library for Bayesian inference (see <http://libbi.org> and <doi:10.18637/jss.v067.i10> for more information). This includes functions for manipulating LibBi models, for reading and writing LibBi input/output files, for converting LibBi output to provide traces for use with the coda package, and for running LibBi from R.
Author: Pierre E. Jacob [aut], Anthony Lee [ctb], Lawrence M. Murray [ctb], Sebastian Funk [aut, cre], Sam Abbott [ctb]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package ciTools updated to version 0.5.1 with previous version 0.5.0 dated 2018-10-19

Title: Confidence or Prediction Intervals, Quantiles, and Probabilities for Statistical Models
Description: Functions to append confidence intervals, prediction intervals, and other quantities of interest to data frames. All appended quantities are for the response variable, after conditioning on the model and covariates. This package has a data frame first syntax that allows for easy piping. Currently supported models include (log-) linear, (log-) linear mixed, generalized linear models, generalized linear mixed models, and accelerated failure time models.
Author: John Haman [cre, aut], Matthew Avery [aut], Institute for Defense Analyses [cph]
Maintainer: John Haman <jhaman@ida.org>

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Package childsds updated to version 0.7.1 with previous version 0.7.0 dated 2019-01-04

Title: Data and Methods Around Reference Values in Pediatrics
Description: Calculation of standard deviation scores and percentiles adduced from different growth standards (WHO, UK, Germany, Italy, China, etc). Therefore, the calculation of SDS-values for different measures like BMI, weight, height, head circumference, different ratios, etc. are easy to carry out. Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. In the new version, there are also functions combining the lms() function from package 'gamlss' with resampling methods for using with repeated measurements and family dependencies. A searchable list of items can be found here: <https://github.com/mvogel78/childsds/wiki>.
Author: Mandy Vogel [aut, cre]
Maintainer: Mandy Vogel <mandy.vogel@googlemail.com>

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Package RANN updated to version 2.6.1 with previous version 2.6 dated 2018-07-16

Title: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
Description: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
Author: Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package hitandrun updated to version 0.5-5 with previous version 0.5-4 dated 2018-05-21

Title: "Hit and Run" and "Shake and Bake" for Sampling Uniformly from Convex Shapes
Description: The "Hit and Run" Markov Chain Monte Carlo method for sampling uniformly from convex shapes defined by linear constraints, and the "Shake and Bake" method for sampling from the boundary of such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints.
Author: Gert van Valkenhoef, Tommi Tervonen
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package astrochron updated to version 0.9 with previous version 0.8 dated 2018-05-16

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut,cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Vincent Moron [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

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Package vegclust updated to version 1.7.7 with previous version 1.7.4 dated 2018-05-29

Title: Fuzzy Clustering of Vegetation Data
Description: A set of functions to: (1) perform fuzzy clustering of vegetation data [De Caceres et al. (2010) <doi:10.1111/j.1654-1103.2010.01211.x>]; (2) to assess ecological community ressemblance on the basis of structure and composition [De Caceres et al. (2013): <doi:10.1111/2041-210X.12116>]; and (3) to perform community trajectory analysis [De Caceres et al. (2019): <doi:10.1002/ecm.1350>].
Author: Miquel De Cáceres [aut, cre]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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Package statnet.common updated to version 4.2.0 with previous version 4.1.4 dated 2018-06-22

Title: Common R Scripts and Utilities Used by the Statnet Project Software
Description: Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Author: Pavel N. Krivitsky [aut, cre], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

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Package spbabel updated to version 0.5.0 with previous version 0.4.8 dated 2017-08-04

Title: Convert Spatial Data Using Tidy Tables
Description: Tools to convert from specific formats to more general forms of spatial data. Using tables to store the actual entities present in spatial data provides flexibility, and the functions here deliberately minimize the level of interpretation applied, leaving that for specific applications. Includes support for simple features, round-trip for 'Spatial' classes and long-form tables, analogous to 'ggplot2::fortify'. There is also a more 'normal form' representation that decomposes simple features and their kin to tables of objects, parts, and unique coordinates.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package divDyn updated to version 0.7.0 with previous version 0.6.1 dated 2018-10-08

Title: Diversity Dynamics using Fossil Sampling Data
Description: Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2018) <doi:10.1101/423780>.
Author: Adam T. Kocsis, John Alroy, Carl J. Reddin, Wolfgang Kiessling
Maintainer: Adam T. Kocsis <adam.kocsis@outlook.com>

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 53 files changed, 1192 insertions(+), 591 deletions(-)

More information about divDyn at CRAN
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Package copBasic updated to version 2.1.2 with previous version 2.1.1 dated 2018-12-03

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler divergence, Vuong procedure, spectral measure, and Lcomoments for inference, maximum likelihood, and AIC, BIC, and RMSE for goodness-of-fit.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.1.1 dated 2018-12-03 and 2.1.2 dated 2019-01-08

 ChangeLog                        |   84 ++++++++++++-
 DESCRIPTION                      |   35 ++---
 MD5                              |  169 ++++++++++++++-------------
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More information about copBasic at CRAN
Permanent link

New package snotelr with initial version 1.0.1
Package: snotelr
Title: Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Version: 1.0.1
Authors@R: person( family = "Hufkens", given = "Koen", email = "koen.hufkens@gmail.com", role = c("aut", "cre"))
Description: Programmatic interface to the 'SNOTEL' snow data (<https://www.wcc.nrcs.usda.gov/snow/>). Provides easy downloads of snow data into your R work space or a local directory. Additional post-processing routines to extract snow season indexes are provided.
URL: https://github.com/khufkens/snotelr
BugReports: https://github.com/khufkens/snotelr/issues
Depends: R (>= 3.4)
Imports: shiny, xml2, httr, utils, stats, rvest, magrittr, wdman, RSelenium, memoise
Suggests: knitr, rmarkdown, covr, testthat, shinydashboard, leaflet, plotly, DT
VignetteBuilder: knitr
License: AGPL-3
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-03 17:00:00 UTC; khufkens
Author: Koen Hufkens [aut, cre]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-08 18:00:03 UTC

More information about snotelr at CRAN
Permanent link

New package ruimtehol with initial version 0.1.1
Package: ruimtehol
Type: Package
Title: Learn Text 'Embeddings' with 'Starspace'
Version: 0.1.1
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be', comment = "R wrapper"), person('BNOSAC', role = 'cph', comment = "R wrapper"), person('Facebook, Inc.', role = 'cph', comment = "Starspace (BSD licensed)"))
Description: Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace> allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <arXiv:1709.03856>.
License: MPL-2.0
URL: https://github.com/bnosac/ruimtehol
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.5), utils, graphics, stats
Suggests: udpipe, data.table
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
SystemRequirements: C++11, GNU make
NeedsCompilation: yes
Packaged: 2019-01-03 14:27:52 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Facebook, Inc. [cph] (Starspace (BSD licensed))
Repository: CRAN
Date/Publication: 2019-01-08 17:30:03 UTC

More information about ruimtehol at CRAN
Permanent link

Package RStoolbox updated to version 0.2.4 with previous version 0.2.3 dated 2018-06-22

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], Robert J. Hijmans [ctb]
Maintainer: Benjamin Leutner <benjamin.leutner@uni-wuerzburg.de>

Diff between RStoolbox versions 0.2.3 dated 2018-06-22 and 0.2.4 dated 2019-01-08

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More information about RStoolbox at CRAN
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New package RIdeogram with initial version 0.1.0
Package: RIdeogram
Type: Package
Title: Drawing SVG Graphics to Visualize and Map Genome-Wide Data in Idiograms
Version: 0.1.0
Authors@R: c(person("Zhaodong", "Hao", email = "haozd1992@163.com", role = c("aut", "cre")), person("Dekang", "Lv", email = "dekanglv@126.com", role = "aut"), person("Ying", "Ge", email = "geying.tju@gmail.com", role = "aut"), person("Jisen", "Shi", email = "Jshi@njfu.edu.cn", role = "aut"), person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = "aut"), person("Jinhui", "Chen", email = "chenjh@njfu.edu.cn", role = "aut"))
Maintainer: Zhaodong Hao <haozd1992@163.com>
Description: For whole-genome analysis, idiograms are virtually the most intuitive and effective way to map and visualize the genome-wide information. RIdeogram was developed to visualize and map whole-genome data in idiograms with no restriction of species.
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: ggplot2, grDevices, grImport2, rsvg, scales, tools
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-03 13:38:04 UTC; haozhaodong
Author: Zhaodong Hao [aut, cre], Dekang Lv [aut], Ying Ge [aut], Jisen Shi [aut], Guangchuang Yu [aut], Jinhui Chen [aut]
Repository: CRAN
Date/Publication: 2019-01-08 17:30:15 UTC

More information about RIdeogram at CRAN
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New package QHOT with initial version 0.1.0
Package: QHOT
Type: Package
Title: QTL Hotspot Detection
Version: 0.1.0
Author: ManHsia Yang
Maintainer: ManHsia Yang <ymh@tari.gov.tw>
Description: This function produces both the numerical and graphical summaries of the QTL hotspot detection in the genomes that are available on the worldwide web including the flanking markers of QTLs.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-04 06:23:23 UTC; ymh
Repository: CRAN
Date/Publication: 2019-01-08 17:40:05 UTC

More information about QHOT at CRAN
Permanent link

Package polmineR updated to version 0.7.11 with previous version 0.7.10 dated 2018-09-18

Title: Toolkit for Corpus Analysis
Description: Library for corpus analysis using the Corpus Workbench as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create partitions and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document term matrices, term co- occurrence matrices etc.) can be created based on the indexed corpora.
Author: Andreas Blaette [aut, cre] (<https://orcid.org/0000-0001-8970-8010>)
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between polmineR versions 0.7.10 dated 2018-09-18 and 0.7.11 dated 2019-01-08

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 polmineR-0.7.11/polmineR/man/registry.Rd                         |   39 
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 polmineR-0.7.11/polmineR/man/trim-method.Rd                      |    1 
 polmineR-0.7.11/polmineR/man/use.Rd                              |   10 
 polmineR-0.7.11/polmineR/man/view.Rd                             |    4 
 polmineR-0.7.11/polmineR/man/weigh-method.Rd                     |    6 
 polmineR-0.7.11/polmineR/tests/testthat/test_aggregate.R         |   22 
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 polmineR-0.7.11/polmineR/tests/testthat/test_context.R           |   16 
 polmineR-0.7.11/polmineR/tests/testthat/test_cooccurrences.R     |  126 +
 polmineR-0.7.11/polmineR/tests/testthat/test_partition_bundle.R  |only
 polmineR-0.7.11/polmineR/tests/testthat/test_pmi.R               |only
 120 files changed, 3599 insertions(+), 1570 deletions(-)

More information about polmineR at CRAN
Permanent link

New package provViz with initial version 1.0.4
Package: provViz
Title: Provenance Visualizer
Version: 1.0.4
Date: 2018-12-20
Authors@R: c( person( "Emery", "Boose", role = c("ctb"), email = "boose@fas.harvard.edu"), person("Barbara", "Lerner", role = c("aut", "cre"), email = "blerner@mtholyoke.edu"), person("Sofiya", "Taskova", role = "aut", email = "sophiataskova@gmail.com"), person("Miruna", "Oprescu", role = "aut", email = "aoprescu@college.harvard.edu"), person("Nikki", "Hoffler", role = "aut", email = "hoffl22n@mtholyoke.edu"), person("Marios", "Dardas", role = "aut", email = "mzdard16@g.holycross.edu"), person( "Elizabeth", "Fong", role = "ctb", email = "fong22e@mtholyoke.edu"), person( "Thomas", "Pasquier", role = "ctb", email = "thomas.pasquier@bristol.ac.uk"), person( "Matthew", "Lau", role = "ctb", email = "matthewklau@fas.harvard.edu"), person( "Aaron", "Ellison", role = "res", email = "aellison@fas.harvard.edu"), person( "Margo", "Seltzer", role = "res", email = "margo@eecs.harvard.edu") )
Copyright: President and Fellows of Harvard College, Trustees of Mount Holyoke College
Depends: R (>= 3.5.0)
Description: Displays provenance graphically for provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about rdtLite and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
License: GPL-3 | file LICENSE
URL: https://github.com/ProvTools/provViz
BugReports: https://github.com/End-to-end-provenance/provViz/issues
RoxygenNote: 6.1.0
Suggests: rdt, rdtLite
Additional_repositories: https://end-to-end-provenance.github.io/drat/
NeedsCompilation: no
Packaged: 2019-01-03 18:18:19 UTC; blerner
Author: Emery Boose [ctb], Barbara Lerner [aut, cre], Sofiya Taskova [aut], Miruna Oprescu [aut], Nikki Hoffler [aut], Marios Dardas [aut], Elizabeth Fong [ctb], Thomas Pasquier [ctb], Matthew Lau [ctb], Aaron Ellison [res], Margo Seltzer [res]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>
Repository: CRAN
Date/Publication: 2019-01-08 17:30:07 UTC

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Package paleofire updated to version 1.2.3 with previous version 1.2.2 dated 2018-05-02

Title: Analysis of Charcoal Records from the Global Charcoal Database
Description: Tools to extract and analyse charcoal sedimentary data stored in the Global Charcoal Database. Main functionalities includes data extraction and sites selection, transformation and interpolation of the charcoal records as well as compositing.
Author: Global Paleofire Working Group <paleofire@univ-fcomte.fr>
Maintainer: Olivier Blarquez <blarquez@gmail.com>

Diff between paleofire versions 1.2.2 dated 2018-05-02 and 1.2.3 dated 2019-01-08

 paleofire-1.2.2/paleofire/vignettes/paleofire-paper.Rmd      |only
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 paleofire-1.2.3/paleofire/R/pfCircular.R                     |   20 +-
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 paleofire-1.2.3/paleofire/R/pfCompositeLF.R                  |   16 --
 paleofire-1.2.3/paleofire/R/pfDiagnostic.R                   |    4 
 paleofire-1.2.3/paleofire/R/pfExtract.R                      |    4 
 paleofire-1.2.3/paleofire/R/pfGridding.R                     |   12 +
 paleofire-1.2.3/paleofire/R/pfKruskal.R                      |    8 -
 paleofire-1.2.3/paleofire/R/pfResolution.R                   |    4 
 paleofire-1.2.3/paleofire/R/pfTransform.R                    |    4 
 paleofire-1.2.3/paleofire/R/pretreatment.R                   |    4 
 paleofire-1.2.3/paleofire/build/vignette.rds                 |binary
 paleofire-1.2.3/paleofire/inst/doc/paleofire-paper.R         |   62 +++-----
 paleofire-1.2.3/paleofire/inst/doc/paleofire-paper.Rnw       |   21 +-
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 44 files changed, 213 insertions(+), 200 deletions(-)

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New package ISEtools with initial version 3.1.1
Package: ISEtools
Type: Package
Title: Tools for Ion Selective Electrodes
Version: 3.1.1
Date: 2018-12-31
Authors@R: c(person("Peter", "Dillingham", role = c("aut", "cre"), email = "peter.dillingham@otago.ac.nz"), person("Christina", "McGraw", role = "ctb", email = "cmcgraw@chemistry.otago.ac.nz"), person("Aleksandar", "Radu", role = "ctb", email = "a.radu@keele.ac.uk"), person("Basim", "Alsaedi", role = "ctb", email = "balsaedi@myune.edu.au") )
Author: Peter Dillingham [aut, cre], Christina McGraw [ctb], Aleksandar Radu [ctb], Basim Alsaedi [ctb]
Maintainer: Peter Dillingham <peter.dillingham@otago.ac.nz>
Description: Characterisation and calibration of single or multiple Ion Selective Electrodes (ISEs); activity estimation of experimental samples. Implements methods described in: Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510> and Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>.
Depends: Xmisc, coda
Imports: graphics, stats, utils
Suggests: R2WinBUGS, BRugs, boot, rjags, R.rsp
VignetteBuilder: R.rsp
SystemRequirements: OpenBUGS (>=3.0) OR jags (>=4.0.0)
License: GPL-2
URL: http://www.maths.otago.ac.nz/~dillingh/software.html
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2019-01-03 08:26:37 UTC; dillingh
Repository: CRAN
Date/Publication: 2019-01-08 17:40:08 UTC

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New package gethr with initial version 0.1.0
Package: gethr
Type: Package
Title: Access to Ethereum-Based Blockchains Through Geth Nodes
Version: 0.1.0
Authors@R: person("Vicente", "Garcia Diaz", email = "garciavicente@uniovi.es", role = c("aut", "cre"))
Description: Full access to the Geth command line interface for running full Ethereum nodes. With gethr it is possible to carry out different tasks such as mine ether, transfer funds, create contacts, explore block history, etc. The package also provides access to all the available APIs. The officially exposed by Ethereum blockchains (eth, shh, web3, net) and some provided directly by Geth (admin, debug, miner, personal, txpool). For more details on Ethereum, access the project website <https://www.ethereum.org/>. For more details on the Geth client, access the project website <https://github.com/ethereum/go-ethereum/wiki/geth/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/vicegd/gethr
BugReports: https://github.com/vicegd/gethr/issues
Imports: jsonlite, httr
Suggests: testthat
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-03 17:39:45 UTC; Windows
Author: Vicente Garcia Diaz [aut, cre]
Maintainer: Vicente Garcia Diaz <garciavicente@uniovi.es>
Repository: CRAN
Date/Publication: 2019-01-08 18:00:20 UTC

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New package germanpolls with initial version 0.2
Package: germanpolls
Title: German Polling Data
Version: 0.2
Authors@R: person("Katharina", "Brunner", email = "mail@katharina-brunner.de", role = c("aut", "cre"))
Description: Extracts political polling data from <http://wahlrecht.de>.
Depends: R (>= 3.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, purrr, xml2, RCurl
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-04 12:19:51 UTC; kabr
Author: Katharina Brunner [aut, cre]
Maintainer: Katharina Brunner <mail@katharina-brunner.de>
Repository: CRAN
Date/Publication: 2019-01-08 17:40:03 UTC

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New package FastGaSP with initial version 0.5.0
Package: FastGaSP
Type: Package
Title: Fast and Exact Computation of Gaussian Stochastic Process
Version: 0.5.0
Date: 2018-12-10
Authors@R: c(person(given="Mengyang",family="Gu",role=c("aut","cre"),email="mgu6@jhu.edu"))
Maintainer: Mengyang Gu <mgu6@jhu.edu>
Author: Mengyang Gu [aut, cre]
Description: Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It allows for the cases with or without a noise. See the reference: Mengyang Gu and Yanxun Xu (2017) <arXiv:1711.11501>.
License: GPL (>= 2)
Depends: methods
Imports: Rcpp, RobustGaSP
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-01-03 16:10:03 UTC; gumengyang
RoxygenNote: 5.0.1
Date/Publication: 2019-01-08 17:30:19 UTC

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New package ethnobotanyR with initial version 0.1.0
Package: ethnobotanyR
Type: Package
Title: Calculate Quantitative Ethnobotany Indices
Version: 0.1.0
Author: Cory Whitney
Maintainer: Cory Whitney <whitney.cory@gmail.com>
Description: Calculate common quantitative ethnobotany indices to assess the cultural significance of plant species based on informant consensus. The package closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio, J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria (Northern Spain) 1. Economic Botany, 62(1), 24-39. <DOI:10.1007/s12231-007-9004-5>.
Depends: R (>= 2.10)
Imports: plyr, dplyr, reshape, circlize, magrittr
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-03 16:20:57 UTC; macbook
Repository: CRAN
Date/Publication: 2019-01-08 17:30:11 UTC

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Package decoder updated to version 1.1.13 with previous version 1.1.12 dated 2017-02-14

Title: Decode Coded Variables to Plain Text and the Other Way Around
Description: Main function "decode" is used to decode coded key values to plain text. Function "code" can be used to code plain text to code if there is a 1:1 relation between the two. The concept relies on 'keyvalue' objects used for translation. There are several 'keyvalue' objects included in the areas of geographical regional codes, administrative health care unit codes, diagnosis codes and more. It is also easy to extend the use by arbitrary code sets.
Author: Erik Bulow [aut, cre] (<https://orcid.org/0000-0002-9973-456X>)
Maintainer: Erik Bulow <erik.bulow@rccvast.se>

Diff between decoder versions 1.1.12 dated 2017-02-14 and 1.1.13 dated 2019-01-08

 DESCRIPTION                                                    |   22 
 MD5                                                            |  102 
 R/as.keyvalue.R                                                |    2 
 R/as.keyvalue.list.R                                           |    2 
 R/datasets_keyvalue.R                                          |   22 
 R/decode.R                                                     |   12 
 R/keyvalue_methods.R                                           |    4 
 README.md                                                      |   32 
 build/vignette.rds                                             |binary
 inst/doc/RC_units.Rmd                                          |    4 
 inst/doc/RC_units.html                                         |  466 +
 inst/doc/decoder.html                                          |  502 +-
 inst/doc/sjukhus.Rmd                                           |    4 
 inst/doc/sjukhus.html                                          | 2486 +++++++++-
 man/as.keyvalue.list.Rd                                        |    2 
 man/decode.Rd                                                  |   16 
 man/distrikt.Rd                                                |    3 
 man/figo.Rd                                                    |    1 
 man/forsamling.Rd                                              |    5 
 man/hemort.Rd                                                  |    1 
 man/hsn.Rd                                                     |    5 
 man/icd10.Rd                                                   |    1 
 man/icd7.Rd                                                    |    1 
 man/icd7_grov.Rd                                               |    1 
 man/icd9.Rd                                                    |    1 
 man/icdo.Rd                                                    |    1 
 man/icdo3.Rd                                                   |    1 
 man/icdo3_grov.Rd                                              |    1 
 man/keyvalue.Rd                                                |    2 
 man/klinik.Rd                                                  |    1 
 man/kommun.Rd                                                  |    3 
 man/kon.Rd                                                     |    1 
 man/lan.Rd                                                     |    1 
 man/m_rtr.Rd                                                   |    1 
 man/n_rtr.Rd                                                   |    1 
 man/pad.Rd                                                     |    1 
 man/patologiavdelning.Rd                                       |    3 
 man/rc.Rd                                                      |    5 
 man/region.Rd                                                  |    1 
 man/sida.Rd                                                    |    1 
 man/sjukhus.Rd                                                 |    3 
 man/sjukhus_inca.Rd                                            |    3 
 man/sjukhus_par.Rd                                             |    1 
 man/sjukvardsomrade.Rd                                         |    1 
 man/snomed.Rd                                                  |    1 
 man/snomed3.Rd                                                 |    1 
 man/summary.keyvalue.Rd                                        |    4 
 man/t_rtr.Rd                                                   |    1 
 man/tnmgrund.Rd                                                |    1 
 tests/testthat/test-internal_extra_functions_sjukvardsomrade.R |    3 
 vignettes/RC_units.Rmd                                         |    4 
 vignettes/sjukhus.Rmd                                          |    4 
 52 files changed, 3346 insertions(+), 402 deletions(-)

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Package blockmodeling updated to version 0.3.4 with previous version 0.3.1 dated 2018-06-04

Title: Generalized and Classical Blockmodeling of Valued Networks
Description: This is primarily meant as an implementation of generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted: Žiberna (2007)<doi:10.1016/j.socnet.2006.04.002>, Žiberna (2008)<doi:10.1080/00222500701790207>, Žiberna (2014)<doi:10.1016/j.socnet.2014.04.002>.
Author: Aleš Žiberna [aut, cre]
Maintainer: Aleš Žiberna <ales.ziberna@gmail.com>

Diff between blockmodeling versions 0.3.1 dated 2018-06-04 and 0.3.4 dated 2019-01-08

 CHANGES                      |   42 ++++++++++++++++++----
 DESCRIPTION                  |   12 +++---
 MD5                          |   64 +++++++++++++++++-----------------
 NAMESPACE                    |    2 -
 R/Cinterfaces.R              |   37 +++++++++++++------
 R/IM.R                       |   17 +++++++--
 R/fun.by.blocks.default.R    |    3 -
 R/genRandomPar.R             |    1 
 R/gplot.R                    |    4 +-
 R/loadnetwork2.R             |   21 ++++++-----
 R/loadpajek.R                |   20 ++++------
 R/loadvector2.R              |    4 +-
 R/plot.mat.R                 |   80 ++++++++++++++++++++++++++++++++++---------
 R/plot.opt.more.par.R        |    2 -
 inst/CITATION                |   13 ++----
 man/Pajek.Rd                 |    4 +-
 man/REGE.Rd                  |   10 ++---
 man/blockmodeling-package.Rd |   12 +++---
 man/clu.Rd                   |   16 +++++---
 man/critFunC.Rd              |   70 +++++++++++++++++++++++--------------
 man/find.m.Rd                |    4 +-
 man/fun.by.blocks.Rd         |    7 +--
 man/genRandomPar.Rd          |    2 -
 man/gplot1.Rd                |    5 +-
 man/ircNorm.Rd               |    2 -
 man/nkpartitions.Rd          |    4 +-
 man/optRandomParC.Rd         |   54 ++++++++++++++++++++---------
 man/plot.mat.Rd              |   27 +++++++-------
 man/rand.Rd                  |    2 -
 man/recode.Rd                |    4 +-
 man/reorderImage.Rd          |    2 -
 man/sedist.Rd                |   20 +++++-----
 man/two2one.Rd               |    4 +-
 33 files changed, 358 insertions(+), 213 deletions(-)

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Package binneR updated to version 2.0.6 with previous version 2.0.5 dated 2018-12-12

Title: Spectral Processing for High Resolution Flow Infusion Mass Spectrometry
Description: A spectral binning approach for high resolution flow infusion mass spectrometry data.
Author: Jasen Finch [aut, cre]
Maintainer: Jasen Finch <jsf9@aber.ac.uk>

Diff between binneR versions 2.0.5 dated 2018-12-12 and 2.0.6 dated 2019-01-08

 DESCRIPTION          |    6 +++---
 MD5                  |   10 +++++-----
 NAMESPACE            |    1 +
 R/binneRlyse.R       |    2 +-
 build/vignette.rds   |binary
 inst/doc/binneR.html |    8 ++++----
 6 files changed, 14 insertions(+), 13 deletions(-)

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New package vitae with initial version 0.1.0
Package: vitae
Title: Curriculum Vitae for R Markdown
Version: 0.1.0
Authors@R: c( person("Mitchell", "O'Hara-Wild", role=c("aut", "cre"), email = "mail@mitchelloharawild.com", comment=c(ORCID = "0000-0001-6729-7695")), person("Rob", "Hyndman", email="Rob.Hyndman@monash.edu", role=c("aut"), comment = c(ORCID = "0000-0002-2140-5352")))
Description: Provides templates and functions to simplify the production and maintenance of curriculum vitae.
Imports: bookdown, rlang, glue, dplyr, rmarkdown, knitr, RefManageR
Suggests: bibtex, covr, rorcid, testthat, stringr, htmltools
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/ropenscilabs/vitae/issues
URL: https://github.com/ropenscilabs/vitae
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-03 07:20:59 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre] (<https://orcid.org/0000-0001-6729-7695>), Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2019-01-08 16:40:03 UTC

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New package scrobbler with initial version 0.1.0
Package: scrobbler
Type: Package
Title: Download 'Scrobbles' from 'Last.fm'
Version: 0.1.0
Author: Conor Neilson
Maintainer: Conor Neilson <condwanaland@gmail.com>
Description: 'Last.fm'<https://www.last.fm> is a music platform focussed on building a detailed profile of a users listening habits. It does this by 'scrobbling' (recording) every track you listen to on other platforms ('spotify', 'youtube', 'soundcloud' etc) and transferring them to your 'Last.fm' database. This allows 'Last.fm' to act as a complete record of your entire listening history. 'scrobbler' provides helper functions to download and analyse your listening history in R.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/condwanaland/scrobbler
BugReports: https://github.com/condwanaland/scrobbler/issues
Imports: anytime
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-03 10:49:40 UTC; apple
Repository: CRAN
Date/Publication: 2019-01-08 16:40:06 UTC

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New package PPRL with initial version 0.3.5.2
Package: PPRL
Type: Package
Title: Privacy Preserving Record Linkage
Version: 0.3.5.2
Date: 2019-01-08
Authors@R: c(person("Rainer", "Schnell", role = c("aut","cph")), person("Dorothea", "Rukasz", role = c("aut", "cre"), email = "mitarbeiter.schnell@uni-due.de"), person("Christian", "Borgs", role = "ctb"), person("Stefan", "Brumme", role = "ctb", comment="HMAC, SHA256"), person("William B.", "Brogden", role = "ctb", comment="Metaphone"), person("Tim", " O'Brien", role = "ctb", comment="Metaphone"), person("Stephen", "Lacy", role = "ctb", comment="Double Metaphone"), person("Apache Software Foundation", role = "cph"))
Author: Rainer Schnell [aut, cph], Dorothea Rukasz [aut, cre], Christian Borgs [ctb], Stefan Brumme [ctb] (HMAC, SHA256), William B. Brogden [ctb] (Metaphone), Tim O'Brien [ctb] (Metaphone), Stephen Lacy [ctb] (Double Metaphone), Apache Software Foundation [cph]
Maintainer: Dorothea Rukasz <mitarbeiter.schnell@uni-due.de>
Description: A toolbox for deterministic, probabilistic and privacy-preserving record linkage techniques. Combines the functionality of the 'Merge ToolBox' (<http://record-linkage.de>) with current privacy-preserving techniques.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.12.7), settings
LinkingTo: Rcpp
RoxygenNote: 6.1.0
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2019-01-08 15:07:14 UTC; schnell-user
Repository: CRAN
Date/Publication: 2019-01-08 16:30:14 UTC

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New package pmsampsize with initial version 1.0.0
Package: pmsampsize
Version: 1.0.0
Date: 2019-01-02
Title: Calculates the Minimum Sample Size Required for Developing a Multivariable Prediction Model
Authors@R: c(person("Joie", "Ensor", role = c("aut", "cre"), email = "j.ensor@keele.ac.uk"), person("Emma C.", "Martin", role = "aut", email = "emma.martin@leicester.ac.uk"), person("Richard D.", "Riley", role = "aut", email = "r.riley@keele.ac.uk"))
Maintainer: Joie Ensor <j.ensor@keele.ac.uk>
Depends: R (>= 2.10)
Suggests: stats
Description: Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) <doi: 10.1002/sim.7992>. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) <doi: 10.1002/sim.7992> lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
License: GPL (>= 3)
RoxygenNote: 6.1.1
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-01-02 19:42:24 UTC; prc87
Author: Joie Ensor [aut, cre], Emma C. Martin [aut], Richard D. Riley [aut]
Repository: CRAN
Date/Publication: 2019-01-08 16:30:03 UTC

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Package plotlyGeoAssets updated to version 0.0.2 with previous version 0.0.1 dated 2018-06-06

Title: Render 'Plotly' Maps without an Internet Connection
Description: Includes 'JavaScript' files that allow 'plotly' maps to render without an internet connection.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>)
Maintainer: Carson Sievert <cpsievert1@gmail.com>

Diff between plotlyGeoAssets versions 0.0.1 dated 2018-06-06 and 0.0.2 dated 2019-01-08

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New package OptM with initial version 0.1.1
Package: OptM
Title: Estimating the Optimal Number of Migration Edges from 'Treemix'
Version: 0.1.1
Authors@R: person("Robert", "Fitak", email = "rfitak9@gmail.com", role = c("aut", "cre"))
Description: The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2002) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
Maintainer: Robert Fitak <rfitak9@gmail.com>
Author: Robert Fitak [aut, cre]
Depends: R (>= 3.2.2)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: SiZer (>= 0.1-4), stats, splines, boot (>= 1.3-20)
Date: 2019-1-2
Repository: CRAN
RoxygenNote: 6.0.1.9000
Packaged: 2019-01-03 13:34:20 UTC; rfitak
Date/Publication: 2019-01-08 16:40:19 UTC

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Package ontologyIndex updated to version 2.5 with previous version 2.4 dated 2017-02-06

Title: Functions for Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between ontologyIndex versions 2.4 dated 2017-02-06 and 2.5 dated 2019-01-08

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New package frapplot with initial version 0.1.3
Package: frapplot
Type: Package
Title: Automatic Data Processing and Visualization for FRAP
Version: 0.1.3
Author: Guanqiao Ding <gding16@gmail.com>
Maintainer: Guanqiao Ding <gding16@gmail.com>
Description: Automatically process Fluorescence Recovery After Photobleaching (FRAP) data and generate consistent, publishable figures. Note: this package does not replace 'ImageJ' (or its equivalence) in raw image quantification. Some references about the methods: Sprague, Brian L. (2004) <doi:10.1529/biophysj.103.026765>; Day, Charles A. (2012) <doi:10.1002/0471142956.cy0219s62>.
Depends: R (>= 2.10)
Imports: grDevices, graphics, stats, utils
BugReports: https://github.com/GuanqiaoDing/frapplot/issues
URL: https://github.com/GuanqiaoDing/frapplot
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-01-03 06:32:56 UTC; dinggq
Repository: CRAN
Date/Publication: 2019-01-08 16:30:10 UTC

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New package curveDepth with initial version 0.1.0.7
Package: curveDepth
Version: 0.1.0.7
Date: 2019-01-03
Title: Tukey Curve Depth and Distance in the Space of Curves
Authors@R: c(person("Pavlo", "Mozharovskyi", role = c("aut", "cre"), email = "pavlo.mozharovskyi@telecom-paristech.fr"), person("Pierre", "Lafaye De Micheaux", role = "aut", email = "lafaye@unsw.edu.au"), person("Myriam", "Vimond", role = "aut", email = "myriam.vimond@ensai.fr"))
Depends: Rcpp, ddalpha
Description: Data recorded as paths or trajectories may be suitably described by curves, which are independent of their parametrization. For the space of such curves, the package provides functionalities for reading curves, sampling points on curves, calculating distance between curves and for computing Tukey curve depth of a curve w.r.t. to a bundle of curves. For details see Lafaye De Micheaux, Mozharovskyi, and Vimond (2019) <arXiv:1901.00180>.
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
LazyData: TRUE
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2019-01-03 10:14:01 UTC; pavlo.mozharovskyi
Author: Pavlo Mozharovskyi [aut, cre], Pierre Lafaye De Micheaux [aut], Myriam Vimond [aut]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paristech.fr>
Repository: CRAN
Date/Publication: 2019-01-08 16:40:09 UTC

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New package BiProbitPartial with initial version 1.0.2
Package: BiProbitPartial
Type: Package
Title: Bivariate Probit with Partial Observability
Version: 1.0.2
Date: 2019-01-03
Author: Michael Guggisberg and Amrit Romana
Maintainer: Michael Guggisberg <mguggisb@ida.org>
Description: A suite of functions to estimate, summarize and perform predictions with the bivariate probit subject to partial observability. The frequentist and Bayesian probabilistic philosophies are both supported. The frequentist method is estimated with maximum likelihood and the Bayesian method is estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by Rajbanhdari, A (2014) <doi:10.1002/9781118771051.ch13>.
License: GPL-3
Imports: Rcpp(>= 0.12.19), Formula(>= 1.2-3), optimr(>= 2016-8.16), pbivnorm(>= 0.6.0), mvtnorm(>= 1.0-8), RcppTN(>= 0.2-2), coda(>= 0.19-2)
Depends: numDeriv(>= 2016.8-1)
Suggests: sampleSelection
LinkingTo: Rcpp, RcppArmadillo, RcppTN
RoxygenNote: 6.1.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-01-03 14:10:50 UTC; mguggisb
Repository: CRAN
Date/Publication: 2019-01-08 16:50:06 UTC

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Package bamp updated to version 2.0.6 with previous version 2.0.5 dated 2018-12-12

Title: Bayesian Age-Period-Cohort Modeling and Prediction
Description: Bayesian Age-Period-Cohort Modeling and Prediction using efficient Markov Chain Monte Carlo Methods. This is the R version of the previous BAMP software as described in Volker Schmid and Leonhard Held (2007) <DOI:10.18637/jss.v021.i08> Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.
Author: Volker Schmid [aut, cre], Florian Geressen [ctb], Leonhard Held [ctb], Evi Rainer [ctb]
Maintainer: Volker Schmid <volker.schmid@lmu.de>

Diff between bamp versions 2.0.5 dated 2018-12-12 and 2.0.6 dated 2019-01-08

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New package analysisPipelines with initial version 1.0.0
Package: analysisPipelines
Type: Package
Date: 2019-01-03
Title: Compose Interoperable Analysis Pipelines & Put Them in Production
Version: 1.0.0
Authors@R: c( person("Naren","Srinivasan", email = "naren1991@gmail.com", role = c("aut")), person("Zubin Dowlaty","", email = "Zubin.Dowlaty@mu-sigma.com", role = c("aut")), person("Sanjay","", email = "Sanjay@mu-sigma.com", role = c("ctb")), person("Neeratyoy","Mallik", email = "Neeratyoy.Mallik@mu-sigma.com", role = c("ctb")), person("Anoop S","", email = "Anoop.S@mu-sigma.com", role = c("ctb")), person("Mu Sigma, Inc.", email = "ird.experiencelab@mu-sigma.com", role = c("cre")) )
Description: Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python. Credits to Mu Sigma for supporting the development of the package. Note - To enable pipelines involving Spark tasks, the package uses the 'SparkR' package. The SparkR package needs to be installed to use Spark as an engine within a pipeline. SparkR is distributed natively with Apache Spark and is not distributed on CRAN. The SparkR version needs to directly map to the Spark version (hence the native distribution), and care needs to be taken to ensure that this is configured properly. To install SparkR from Github, run the following command if you know the Spark version: 'devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')'. The other option is to install SparkR by running the following terminal commands if Spark has already been installed: '$ export SPARK_HOME=/path/to/spark/directory && cd $SPARK_HOME/R/lib/SparkR/ && R -e "devtools::install('.')"'.
Depends: R (>= 3.4.0), magrittr, pipeR, methods
Imports: ggplot2, dplyr, futile.logger, RCurl, rlang (>= 0.3.0), proto, purrr, devtools
Suggests: plotly, knitr, rmarkdown, parallel, visNetwork, rjson, DT, shiny, R.devices, corrplot, car, foreign
Enhances: SparkR, reticulate
BugReports: https://github.com/Mu-Sigma/analysis-pipelines/issues
URL: https://github.com/Mu-Sigma/analysis-pipelines
Encoding: UTF-8
License: Apache License 2.0
LazyLoad: yes
LazyData: yes
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Collate: 'analysisPipelines_package.R' 'core-functions.R' 'core-functions-batch.R' 'core-functions-meta-pipelines.R' 'core-streaming-functions.R' 'r-batch-eda-utilities.R' 'r-helper-utilites-python.R' 'spark-structured-streaming-utilities.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2019-01-03 07:42:33 UTC; naren
Author: Naren Srinivasan [aut], Zubin Dowlaty [aut], Sanjay [ctb], Neeratyoy Mallik [ctb], Anoop S [ctb], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>
Repository: CRAN
Date/Publication: 2019-01-08 16:40:12 UTC

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Package seqminer updated to version 7.1 with previous version 7.0 dated 2019-01-06

Title: Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R
Description: Integrate sequencing data (Variant call format, e.g. VCF or BCF) or meta-analysis results in R. This package can help you (1) read VCF/BCF/BGEN files by chromosomal ranges (e.g. 1:100-200); (2) read RareMETAL summary statistics files; (3) read tables from a tabix-indexed files; (4) annotate VCF/BCF files; (5) create customized workflow based on Makefile.
Author: Xiaowei Zhan [aut, cre], Dajiang Liu [aut], Attractive Chaos [cph] (We have used the following software and made minimal necessary changes: Tabix, Heng Li <lh3@live.co.uk> (MIT license). We removed standard IO related functions, e.g. printf, fprintf ; also changed its un-safe pointer arithmetics.), Broad Institute / Massachusetts Institute of Technology [cph], Genome Research Ltd (GRL) [cph], Facebook, Inc [cph]
Maintainer: Xiaowei Zhan <zhanxw@gmail.com>

Diff between seqminer versions 7.0 dated 2019-01-06 and 7.1 dated 2019-01-08

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 22 files changed, 802 insertions(+), 449 deletions(-)

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New package rv with initial version 2.3.3
Package: rv
Title: Simulation-Based Random Variable Objects
Version: 2.3.3
Authors@R: c( person("Jouni", "Kerman", role = c("aut"), email = "jouni@kerman.com"), person("Joseph", "Stachelek", role = c("ctb", "cre"), email = "stachel2@msu.edu") )
Maintainer: Joseph Stachelek <stachel2@msu.edu>
URL: https://github.com/jsta/rv
BugReports: https://github.com/jsta/rv/issues
Description: Implements a simulation-based random variable class and a suite of methods for extracting parts of random vectors, calculating extremes of random vectors, and generating random vectors under a variety of distributions following Kerman and Gelman (2007) <doi:10.1007/s11222-007-9020-4>.
Depends: R(>= 2.15.1), stats, utils, grDevices, graphics
License: GPL-2
Encoding: UTF-8
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-08 14:32:06 UTC; jose
Author: Jouni Kerman [aut], Joseph Stachelek [ctb, cre]
Repository: CRAN
Date/Publication: 2019-01-08 15:40:03 UTC

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Package nasapower updated to version 1.0.4 with previous version 1.0.2 dated 2018-10-18

Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy Resource) data are freely available global meteorology and surface solar energy climatology data for download with a resolution of 1/2 by 1/2 arc degree longitude and latitude and are funded through the 'NASA' Earth Science Directorate Applied Science Program. For more on the data themselves, a web-based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>), Hazel Kavili [rev], Alison Boyer [rev]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between nasapower versions 1.0.2 dated 2018-10-18 and 1.0.4 dated 2019-01-08

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 27 files changed, 800 insertions(+), 621 deletions(-)

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Package lemon updated to version 0.4.3 with previous version 0.4.2 dated 2018-10-30

Title: Freshing Up your 'ggplot2' Plots
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Author: Stefan McKinnon Edwards [aut, ctb, cre] (<https://orcid.org/0000-0002-4628-8148>), Baptiste Auguie [ctb] (For g_legend and grid_arrange_shared_legend), Shaun Jackman [ctb] (For grid_arrange_shared_legend), Hadley Wickham [ctb] (ggplot2 functions), Winston Chang [ctb] (ggplot2 functions)
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>

Diff between lemon versions 0.4.2 dated 2018-10-30 and 0.4.3 dated 2019-01-08

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Package codebook updated to version 0.7.6 with previous version 0.7.5 dated 2018-12-04

Title: Automatic Codebooks from Survey Metadata Encoded in Attributes
Description: Easily automate the following tasks to describe data frames: summarise the distributions of scales and items graphically and using descriptive statistics, compute reliabilities (internal consistencies, retest, multilevel) for psychological scales, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.). The metadata and codebooks are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

Diff between codebook versions 0.7.5 dated 2018-12-04 and 0.7.6 dated 2019-01-08

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Package rlang updated to version 0.3.1 with previous version 0.3.0.1 dated 2018-10-25

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.3.0.1 dated 2018-10-25 and 0.3.1 dated 2019-01-08

 DESCRIPTION                                                         |   10 
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 NAMESPACE                                                           |   11 
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 R/attr.R                                                            |    9 
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Package CARBayesST updated to version 3.0.1 with previous version 3.0 dated 2018-09-27

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including Bernardinelli et al. (1995) <doi:10.1002/sim.4780142112>, Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001> and Lee et al. (2016) <doi:10.1214/16-AOAS941>. Full details are given in the vignette accompanying this package. The creation of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grant EP/J017442/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth and Gary Napier
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayesST versions 3.0 dated 2018-09-27 and 3.0.1 dated 2019-01-08

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Package icesTAF updated to version 2.1-0 with previous version 2.0-0 dated 2018-12-07

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package revengc updated to version 1.0.4 with previous version 1.0.3 dated 2018-09-24

Title: Reverse Engineering Summarized Data
Description: Decoupled (e.g. separate averages) and censored (e.g. > 100 species) variables are continually reported by many well-established organizations (e.g. World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), World Bank, and various national censuses). The challenge therefore is to infer what the original data could have been given summarized information. We present an R package that reverse engineers decoupled and/or censored count data with two main functions. The cnbinom.pars function estimates the average and dispersion parameter of a censored univariate frequency table. The rec function reverse engineers summarized data into an uncensored bivariate table of probabilities.
Author: Samantha Duchscherer [aut, cre], UT-Battelle, LLC [cph]
Maintainer: Samantha Duchscherer <sam.duchscherer@gmail.com>

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Package ddsPLS updated to version 1.0.53 with previous version 1.0.51 dated 2019-01-03

Title: Multi-Data-Driven Sparse PLS Robust to Missing Samples
Description: Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
Author: Hadrien Lorenzo [aut, cre], Jerome Saracco [aut], Rodolphe Thiebaut [aut]
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>

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Package riskParityPortfolio updated to version 0.1.1 with previous version 0.1.0 dated 2018-12-25

Title: Design of Risk Parity Portfolios
Description: Fast design of risk parity portfolios for financial investment. The goal of the risk parity portfolio formulation is to equalize or distribute the risk contributions of the different assets, which is missing if we simply consider the overall volatility of the portfolio as in the mean-variance Markowitz portfolio. In addition to the vanilla formulation, where the risk contributions are perfectly equalized subject to no shortselling and budget constraints, many other formulations are considered that allow for box constraints and shortselling, as well as the inclusion of additional objectives like the expected return and overall variance. See vignette for a detailed documentation and comparison, with several illustrative examples. The package is based on the papers: Y. Feng, and D. P. Palomar (2015). SCRIP: Successive Convex Optimization Methods for Risk Parity Portfolio Design. IEEE Trans. on Signal Processing, vol. 63, no. 19, pp. 5285-5300. <doi:10.1109/TSP.2015.2452219>. F. Spinu (2013), An Algorithm for Computing Risk Parity Weights. <doi:10.2139/ssrn.2297383>. T. Griveau-Billion, J. Richard, and T. Roncalli (2013). A fast algorithm for computing High-dimensional risk parity portfolios. <arXiv:1311.4057>.
Author: Ze Vinicius [aut], Daniel P. Palomar [cre, aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

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Package hR updated to version 0.1.6 with previous version 0.1.4 dated 2018-11-26

Title: Toolkit for Data Analytics in Human Resources
Description: Transform employee data in meaningful ways. Two functions, 'hierarchyLong' and 'hierarchyWide', convert standard employee and supervisor relationship data into useful formats for human resources (HR) analytics.
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

Diff between hR versions 0.1.4 dated 2018-11-26 and 0.1.6 dated 2019-01-08

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New package fRLR with initial version 1.1
Package: fRLR
Type: Package
Title: Fit Repeated Linear Regressions
SystemRequirements: GNU Scientific Library (GSL). Note: users should have GSL installed.
Version: 1.1
Date: 2019-01-07
Author: Lijun Wang [aut, cre, cph]
Maintainer: Lijun Wang <szcfweiya@gmail.com>
Description: When fitting a set of linear regressions which have some same variables, we can separate the matrix and reduce the computation cost. This package aims to fit a set of repeated linear regressions faster. More details can be found in this blog Lijun Wang (2017) <https://stats.hohoweiya.xyz/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/>.
License: GPL (>= 2)
URL: https://stats.hohoweiya.xyz/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/
Imports: Rcpp (>= 0.12.12)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-01-08 02:27:08 UTC; weiya
Repository: CRAN
Date/Publication: 2019-01-08 08:20:10 UTC

More information about fRLR at CRAN
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Package FLSSS updated to version 8.3 with previous version 7.7 dated 2018-11-22

Title: Mining Rigs for Specialized Subset Sum, Multi-Subset Sum, Multidimensional Subset Sum, Multidimensional Knapsack, Generalized Assignment Problems
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. These solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value sets with predefined subset sum errors, and (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The latter decomposes the problem in a novel approach, and the multi-threaded framework offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Package updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) an option of mapping real-domain problems to the integer domain with user-controlled precision loss, and those integers are further zipped non-uniformly in 64-bit buffers. Arithmetic on compressed integers is done by bit-manipulation and the design has virtually zero speed lag relative to normal integers arithmetic. The consequent reduction in dimensionality may yield substantial acceleration. Compilation with g++ '-Ofast' is recommended. See package vignette (<arXiv:1612.04484v3>) for details. Functions prefixed with 'aux' (auxiliary) are or will be implementations of existing foundational or cutting-edge algorithms for solving optimization problems of interest.
Author: Charlie Wusuo Liu
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>

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Package ResourceSelection updated to version 0.3-4 with previous version 0.3-2 dated 2017-02-28

Title: Resource Selection (Probability) Functions for Use-Availability Data
Description: Resource Selection (Probability) Functions for use-availability wildlife data based on weighted distributions as described in Lele and Keim (2006) <doi:10.1890/0012-9658(2006)87[3021:WDAEOR]2.0.CO;2>, Lele (2009) <doi:10.2193/2007-535>, and Solymos & Lele (2016) <doi:10.1111/2041-210X.12432>.
Author: Subhash R. Lele [aut], Jonah L. Keim [aut], Peter Solymos [aut, cre] (<https://orcid.org/0000-0001-7337-1740>)
Maintainer: Peter Solymos <solymos@ualberta.ca>

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Package fabMix updated to version 4.5 with previous version 4.4 dated 2018-11-28

Title: Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components
Description: Model-based clustering of multivariate continuous data using Bayesian mixtures of factor analyzers (Papastamoulis (2018) <DOI:10.1016/j.csda.2018.03.007>). The number of clusters is estimated using overfitting mixture models (Rousseau and Mengersen (2011) <DOI:10.1111/j.1467-9868.2011.00781.x>): suitable prior assumptions ensure that asymptotically the extra components will have zero posterior weight, therefore, the inference is based on the ``alive'' components. A Gibbs sampler is implemented in order to (approximately) sample from the posterior distribution of the overfitting mixture. A prior parallel tempering scheme is also available, which allows to run multiple parallel chains with different prior distributions on the mixture weights. These chains run in parallel and can swap states using a Metropolis-Hastings move. Eight different parameterizations give rise to parsimonious representations of the covariance per cluster (following Mc Nicholas and Murphy (2008) <DOI:10.1007/s11222-008-9056-0>). The model parameterization and number of factors is selected according to the Bayesian Information Criterion. Identifiability issues related to label switching are dealt by post-processing the simulated output with the Equivalence Classes Representatives algorithm (Papastamoulis and Iliopoulos (2010) <https://www.jstor.org/stable/25703571>, Papastamoulis (2016) <DOI:10.18637/jss.v069.c01>).
Author: Panagiotis Papastamoulis [aut, cre] (<https://orcid.org/0000-0001-9468-7613>)
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>

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Package elec updated to version 0.1.2.1 with previous version 0.1.2 dated 2011-07-25

Title: Collection of Functions for Statistical Election Audits
Description: This is a bizarre collection of functions written to do various sorts of statistical election audits. There are also functions to generate simulated voting data, and simulated "truth" so as to do simulations to check characteristics of these methods.
Author: Luke Miratrix
Maintainer: Luke Mirarix <luke@vzvz.org>

Diff between elec versions 0.1.2 dated 2011-07-25 and 0.1.2.1 dated 2019-01-08

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Package toxboot (with last version 0.2.0) was removed from CRAN

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

2018-11-25 0.2.0
2016-08-23 0.1.1
2016-08-12 0.1.0

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Package Sequential updated to version 3.0 with previous version 2.3.2 dated 2017-08-02

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Author: Ivair Ramos Silva and Martin Kulldorff
Maintainer: Ivair Ramos Silva <jamesivair@yahoo.com.br>

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Package rangemodelR updated to version 1.0.4 with previous version 1.0.3 dated 2018-08-18

Title: Mid-Domain Effect and Species Richness
Description: Generates expected values of species richness, with continuous or scattered ranges, for data across one or two dimensions.
Author: Aniruddha Marathe <aniruddha.pravin.marathe@gmail.com>
Maintainer: Aniruddha Marathe <aniruddha.pravin.marathe@gmail.com>

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Package pzfx updated to version 0.2.0 with previous version 0.1.0 dated 2018-09-28

Title: Read and Write 'GraphPad Prism' Files
Description: Read and write 'GraphPad Prism' '.pzfx' files in R.
Author: Yue Jiang [aut, cre] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yue Jiang <rivehill@gmail.com>

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Package gets updated to version 0.17 with previous version 0.16 dated 2018-08-28

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package cowplot updated to version 0.9.4 with previous version 0.9.3 dated 2018-07-15

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package.
Author: Claus O. Wilke [aut, cre], RStudio [cph] (Copyright for ggplot2 code copied to cowplot)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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Package clifro updated to version 3.2-1 with previous version 3.2-0 dated 2018-07-25

Title: Easily Download and Visualise Climate Data from CliFlo
Description: CliFlo is a web portal to the New Zealand National Climate Database and provides public access (via subscription) to around 6,500 various climate stations (see <https://cliflo.niwa.co.nz/> for more information). Collating and manipulating data from CliFlo (hence clifro) and importing into R for further analysis, exploration and visualisation is now straightforward and coherent. The user is required to have an internet connection, and a current CliFlo subscription (free) if data from stations, other than the public Reefton electronic weather station, is sought.
Author: Blake Seers [aut, cre] (<https://orcid.org/0000-0001-6841-4312>)
Maintainer: Blake Seers <blake.seers@gmail.com>

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Package badger updated to version 0.0.4 with previous version 0.0.2 dated 2017-03-08

Title: Badge for R Package
Description: Query information and generate badge for using in README and GitHub Pages.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), Gregor de Cillia [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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