Fri, 22 Mar 2019

Package toxEval updated to version 1.0.4 with previous version 1.0.3 dated 2019-03-06

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell et al. (2017) <doi:10.1021/acs.est.7b01613>.
Author: Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Steven Corsi [aut] (<https://orcid.org/0000-0003-0583-5536>), Daniel Villeneuve [aut] (<https://orcid.org/0000-0003-2801-0203>), Brett Blackwell [aut], Gerald Ankley [aut] (<https://orcid.org/0000-0002-9937-615X>), Alison Appling [rev] (Reviewed for USGS), Dalma Martinovic [rev] (Reviewed for USGS)
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between toxEval versions 1.0.3 dated 2019-03-06 and 1.0.4 dated 2019-03-22

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More information about toxEval at CRAN
Permanent link

Package mwaved updated to version 1.1.6 with previous version 1.1.5 dated 2017-07-13

Title: Multichannel Wavelet Deconvolution with Additive Long Memory Noise
Description: Computes the Wavelet deconvolution estimate of a common signal present in multiple channels that have possible different levels of blur and long memory additive error.
Author: Justin Rory Wishart
Maintainer: Justin Rory Wishart <justin.wishart@mq.edu.au>

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Package Matrix updated to version 1.2-17 with previous version 1.2-16 dated 2019-03-08

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Author: Douglas Bates [aut], Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD; collaborators listed in dir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc', 'SuiteSparse', package='Matrix'))), Jens Oehlschlägel [ctb] (initial nearPD()), Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright: Regents of the University of California), R Core Team [ctb] (base R matrix implementation)
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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Package stplanr updated to version 0.2.8 with previous version 0.2.7 dated 2019-01-07

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <http://cyclestreets.net/>; calculation of route segment attributes such as bearing and aggregate flow; and 'travel watershed' analysis. See Lovelace and Ellison (2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Malcolm Morgan [ctb] (Co-author of angle_diff), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlin [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package ncf updated to version 1.2-8 with previous version 1.2-6 dated 2018-10-11

Title: Spatial Covariance Functions
Description: R functions for analyzing spatial (cross-)covariance: the nonparametric (cross-)covariance function, the spline correlogram, the nonparametric phase coherence function, local indicators of spatial association (LISA), (Mantel) correlogram, (Partial) Mantel test.
Author: Ottar N. Bjornstad [aut, cre], Jun Cai [ctb]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

Diff between ncf versions 1.2-6 dated 2018-10-11 and 1.2-8 dated 2019-03-22

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Package AzureAuth updated to version 1.0.1 with previous version 1.0.0 dated 2019-02-22

Title: Authentication Services for Azure Active Directory
Description: Provides Azure Active Directory (AAD) authentication functionality for R users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/>. Use this package to obtain 'OAuth' 2.0 tokens for services including Azure Resource Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as well as multiple authentication methods, including device code and resource owner grant. Tokens are cached in a user-specific directory obtained using the 'rappdirs' package. The interface is based on the 'OAuth' framework in the 'httr' package, but customised and streamlined for Azure.
Author: Hong Ooi [aut, cre], httr development team [ctb] (Original OAuth listener code), Scott Holden [ctb] (Advice on AAD authentication), Chris Stone [ctb] (Advice on AAD authentication), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureAuth versions 1.0.0 dated 2019-02-22 and 1.0.1 dated 2019-03-22

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Package getopt updated to version 1.20.3 with previous version 1.20.2 dated 2018-02-16

Title: C-Like 'getopt' Behavior
Description: Package designed to be used with Rscript to write ``#!'' shebang scripts that accept short and long flags/options. Many users will prefer using instead the packages optparse or argparse which add extra features like automatically generated help option and usage, support for default values, positional argument support, etc.
Author: Trevor L Davis [aut, cre], Allen Day [aut] (Original package author), Roman Zenka [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between getopt versions 1.20.2 dated 2018-02-16 and 1.20.3 dated 2019-03-22

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Package parsnip updated to version 0.0.2 with previous version 0.0.1 dated 2018-11-12

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between parsnip versions 0.0.1 dated 2018-11-12 and 0.0.2 dated 2019-03-22

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Package TraMineR updated to version 2.0-11.1 with previous version 2.0-11 dated 2019-03-18

Title: Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph] (<https://orcid.org/0000-0002-6269-1412>), Nicolas Müller [aut], Reto Bürgin [aut], Pierre-Alexandre Fonta [aut], Gilbert Ritschard [aut, cre, cph] (<https://orcid.org/0000-0001-7776-0903>)
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

Diff between TraMineR versions 2.0-11 dated 2019-03-18 and 2.0-11.1 dated 2019-03-22

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Package pmhtutorial updated to version 1.5 with previous version 1.4 dated 2019-01-11

Title: Minimal Working Examples for Particle Metropolis-Hastings
Description: Routines for state estimate in a linear Gaussian state space model and a simple stochastic volatility model using particle filtering. Parameter inference is also carried out in these models using the particle Metropolis-Hastings algorithm that includes the particle filter to provided an unbiased estimator of the likelihood. This package is a collection of minimal working examples of these algorithms and is only meant for educational use and as a start for learning to them on your own.
Author: Johan Dahlin
Maintainer: Johan Dahlin <uni@johandahlin.com>

Diff between pmhtutorial versions 1.4 dated 2019-01-11 and 1.5 dated 2019-03-22

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Package ledger updated to version 2.0.1 with previous version 2.0.0 dated 2019-01-15

Title: Utilities for Importing Data from Plain Text Accounting Files
Description: Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.
Author: Trevor L Davis [aut, cre], Jenya Sovetkin [ctb]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between ledger versions 2.0.0 dated 2019-01-15 and 2.0.1 dated 2019-03-22

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Package comorbidity updated to version 0.3.0 with previous version 0.2.0 dated 2018-10-08

Title: Computing Comorbidity Scores
Description: Computing comorbidity scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Hojjat Salmasian [ctb] (ICD-9-CM scores)
Maintainer: Alessandro Gasparini <ag475@leicester.ac.uk>

Diff between comorbidity versions 0.2.0 dated 2018-10-08 and 0.3.0 dated 2019-03-22

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Package CGPfunctions updated to version 0.5.2 with previous version 0.5.0 dated 2019-03-21

Title: Powell Miscellaneous Functions for Teaching and Learning Statistics
Description: Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not “new” methods but rather wrappers around either base R or other packages.
Author: Chuck Powell [aut, cre]
Maintainer: Chuck Powell <ibecav@gmail.com>

Diff between CGPfunctions versions 0.5.0 dated 2019-03-21 and 0.5.2 dated 2019-03-22

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New package sinx with initial version 0.0.5
Package: sinx
Version: 0.0.5
Date: 2019-03-14
Title: Sino Xmen Said
Authors@R: c( person("Peng", "Zhao", role = c("aut", "cre"), email = "pzhao@pzhao.net") )
Maintainer: Peng Zhao <pzhao@pzhao.net>
Imports: utils, cowsay, jsonlite, xaringan, pagedown, bookdownplus
License: GPL-3
Depends: R (>= 3.1.0)
Suggests: knitr, rmarkdown
Description: Displays a pseudorandom message from a database of quotations. It works as an advanced version of the package 'fortunes', while 'sinx' supports multi-byte languages such as Chinese. The databases of 'sinx' can be given in markdown format, which is easier and more friendly than spread sheets for users.
URL: https://github.com/pzhaonet/sinx
BugReports: https://github.com/pzhaonet/sinx/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
LazyData: true
Packaged: 2019-03-19 10:31:44 UTC; Peng.Zhao
Author: Peng Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-22 17:20:14 UTC

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New package shinyhttr with initial version 1.0.0
Package: shinyhttr
Type: Package
Title: Progress Bars for Downloads in 'shiny' Apps
Version: 1.0.0
Authors@R: c(person(given = "Athos", family = "Damiani", role = c("aut", "cre"), email = "athos.damiani@curso-r.com"), person(given = "Hadley", family = "Wickham", role = c("aut"), email = "hadley@rstudio.com"), person(given = "RStudio", role = "cph"))
Description: Modifies the progress() function from 'httr' package to let it send output to progressBar() function from 'shinyWidgets' package. It is just a tweak at the original functions from 'httr' package to make it smooth for 'shiny' developers.
License: MIT + file LICENSE
BugReports: https://github.com/curso-r/shinyhttr/issues
URL: https://github.com/curso-r/shinyhttr
Encoding: UTF-8
LazyData: true
Imports: shinyWidgets, utils
RoxygenNote: 6.1.1
Enhances: shiny, httr
NeedsCompilation: no
Packaged: 2019-03-19 03:44:52 UTC; ap_da
Author: Athos Damiani [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Athos Damiani <athos.damiani@curso-r.com>
Repository: CRAN
Date/Publication: 2019-03-22 17:10:42 UTC

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New package Rfast2 with initial version 0.0.1
Package: Rfast2
Type: Package
Title: A Collection of Efficient and Extremely Fast R Functions II
Version: 0.0.1
Date: 2019-03-19
Author: Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>
Depends: R (>= 3.5.0), Rcpp (>= 0.12.3)
LinkingTo: Rcpp (>= 0.12.3), RcppArmadillo
Imports: Rfast
SystemRequirements: C++11
Description: A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions.
License: GPL (>= 2.0)
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2019-03-19 15:28:49 UTC; MANOS
Repository: CRAN
Date/Publication: 2019-03-22 17:33:32 UTC

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New package kayadata with initial version 0.4.0
Package: kayadata
Type: Package
Title: Kaya Identity Data for Nations and Regions
Version: 0.4.0
Date: 2019-03-18
Authors@R: c( person("Jonathan", "Gilligan", email = "jonathan.gilligan@vanderbilt.edu", comment = c(ORCID = "0000-0003-1375-6686"), role = c("cre", "aut")))
Description: Provides data for Kaya identity variables (population, gross domestic product, primary energy consumption, and energy-related CO2 emissions) for the world and for individual nations, and utility functions for looking up data, plotting trends of Kaya variables, and plotting the fuel mix for a given country or region. The Kaya identity (Yoichi Kaya and Keiichi Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability" (United Nations University Press, 1998) and <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or region's greenhouse gas emissions in terms of its population, per-capita Gross Domestic Product, the energy intensity of its economy, and the carbon-intensity of its energy supply.
URL: https://github.com/jonathan-g/kayadata
BugReports: https://github.com/jonathan-g/kayadata/issues
License: MIT + file LICENSE
Depends: ggplot2 (>= 3.0), R (>= 3.5)
Imports: magrittr (>= 1.5), forcats (>= 0.3), dplyr (>= 0.8), tidyr (>= 0.8), stringr (>= 1.3.1), scales (>= 1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.0), purrr (>= 0.3), broom (>= 0.5), knitr (>= 1.22), rmarkdown (>= 1.12)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-19 22:40:28 UTC; Jonathan
Author: Jonathan Gilligan [cre, aut] (<https://orcid.org/0000-0003-1375-6686>)
Maintainer: Jonathan Gilligan <jonathan.gilligan@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2019-03-22 17:40:03 UTC

More information about kayadata at CRAN
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New package jcp with initial version 1.0
Package: jcp
Type: Package
Title: Joint Change Point Detection
Version: 1.0
Date: 2019-03-18
Author: Michael Messer
Maintainer: Michael Messer <messer@math.uni-frankfurt.de>
Description: Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. References - Bivariate change point detection (2019+), Michael Messer.
License: GPL-3
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-18 20:05:09 UTC; messer
Repository: CRAN
Date/Publication: 2019-03-22 17:00:03 UTC

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New package ideq with initial version 0.1.1
Package: ideq
Title: Bayesian Dynamic Spatio-Temporal Models, Including the Integrodifference Equation Model
Version: 0.1.1
Authors@R: c(person("Easton", "Huch", email = "easton.huch@gmail.com", role = c("aut", "cre")), person("Robert", "Richardson", email = "richardson@stat.byu.edu", rol = ("ths")))
Description: In contrast to other methods of modeling spatio-temporal data, dynamic spatio-temporal models (DSTMs) directly model the dynamic data-generating process. 'ideq' supports two main classes of DSTMs: (1) empirical orthogonal function (EOF) models and (2) integrodifference equation (IDE) models. EOF models do not directly use any spatial information; instead, they make use of observed relationships in the data (the principal components) to model the underlying process. In contrast, IDE models are based on diffusion dynamics and the process evolution is governed by a (typically Gaussian) redistribution kernel. Both types have a variety of options for specifying the model components, including the process matrix, process error, and observation error. The classic reference for DSTMs is Noel Cressie and Christopher K. Wikle (2011, ISBN:978-0471692744). For IDE models specifically, see Christopher K. Wikle and Noel Cressie (1999, <https://www.jstor.org/stable/2673587>) and Christopher K. Wikle (2002, <doi:10.1191/1471082x02st036oa>).
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo, rgen
Imports: Rcpp, matrixcalc, pdist, mvtnorm
BugReports: https://github.com/eastonhuch/ideq/issues
NeedsCompilation: yes
Packaged: 2019-03-19 16:17:42 UTC; easton
Author: Easton Huch [aut, cre], Robert Richardson [ths]
Maintainer: Easton Huch <easton.huch@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-22 17:40:06 UTC

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New package gtfsrouter with initial version 0.0.1
Package: gtfsrouter
Title: Routing with GTFS (General Transit Feed Specification) Data
Version: 0.0.1
Authors@R: c( person("Mark", "Padgham", email="mark.padgham@email.com", role=c("aut", "cre")))
Description: Use GTFS (General Transit Feed Specification) data for routing from nominated start and end stations, and for extracting isochrones from nominated start station.
License: GPL-3
Depends: R (>= 2.10)
Imports: data.table, methods, Rcpp (>= 0.12.6)
Suggests: alphahull, geodist, here, hms, lubridate, lwgeom, knitr, mapview, rmarkdown, sf, testthat
LinkingTo: Rcpp
SystemRequirements: C++11
NeedsCompilation: yes
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/ATFutures/gtfs-router
BugReports: https://github.com/ATFutures/gtfs-router/issues
RoxygenNote: 6.1.1
Packaged: 2019-03-19 09:05:11 UTC; markus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2019-03-22 17:20:20 UTC

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New package vtable with initial version 0.3.0
Package: vtable
Type: Package
Title: Variable Table
Version: 0.3.0
Date: 2019-03-18
Authors@R: c(person(given = "Nick", family = "Huntington-Klein", role = c("aut","cre"), email = "nhuntington-klein@fullerton.edu"))
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Imports: utils, sjlabelled
Suggests: rstudioapi, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-18 18:22:17 UTC; nhuntington-klein
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@fullerton.edu>
Repository: CRAN
Date/Publication: 2019-03-22 16:50:03 UTC

More information about vtable at CRAN
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New package reactlog with initial version 1.0.0
Package: reactlog
Title: Reactivity Visualizer for 'shiny'
Version: 1.0.0
Authors@R: c( person( "Barret", "Schloerke", email = "barret@rstudio.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9986-114X") ), person("Joe", "Cheng", email = "joe@rstudio.com", role = c("ctb")), person("RStudio", role = c("cph", "fnd")) )
Description: Building interactive web applications with R is incredibly easy with 'shiny'. Behind the scenes, 'shiny' builds a reactive graph that can quickly become intertwined and difficult to debug. 'reactlog' (Schloerke 2019) <doi:10.5281/zenodo.2591517> provides a visual insight into that black box of 'shiny' reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording.
Depends: R (>= 3.0.2)
Imports: jsonlite (>= 0.9.16)
Suggests: shiny, knitr, rmarkdown, htmltools
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://rstudio.github.io/reactlog/, https://github.com/rstudio/reactlog, https://community.rstudio.com/tags/reactlog
BugReports: https://github.com/rstudio/reactlog/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-03-18 15:18:46 UTC; barret
Author: Barret Schloerke [aut, cre] (<https://orcid.org/0000-0001-9986-114X>), Joe Cheng [ctb], RStudio [cph, fnd]
Maintainer: Barret Schloerke <barret@rstudio.com>
Repository: CRAN
Date/Publication: 2019-03-22 16:40:03 UTC

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New package ActiveDriverWGS with initial version 1.0.1
Package: ActiveDriverWGS
Title: A Driver Discovery Tool for Cancer Whole Genomes
Version: 1.0.1
Authors@R: c(person("Helen", "Zhu", email = "helen.zhu@oicr.on.ca", role = c("aut", "cre")), person("Juri", "Reimand", email = "juri.reimand@oicr.on.ca", role = "aut"))
Description: A method for finding an enrichment of cancer simple somatic mutations (SNVs and Indels) in functional elements across the human genome. 'ActiveDriverWGS' detects coding and noncoding driver elements using whole genome sequencing data.
Depends: R (>= 3.0.2)
Imports: BSgenome, BSgenome.Hsapiens.UCSC.hg19, Biostrings, GenomeInfoDb, GenomicRanges, IRanges, S4Vectors, plyr
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-18 18:49:56 UTC; hzhu
Author: Helen Zhu [aut, cre], Juri Reimand [aut]
Maintainer: Helen Zhu <helen.zhu@oicr.on.ca>
Repository: CRAN
Date/Publication: 2019-03-22 16:56:30 UTC

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Package treeclim updated to version 2.0.3 with previous version 2.0.0 dated 2016-09-02

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@wzw.tum.de>

Diff between treeclim versions 2.0.0 dated 2016-09-02 and 2.0.3 dated 2019-03-22

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Package rMEA updated to version 1.1.0 with previous version 1.0.0 dated 2018-03-16

Title: Synchrony in Motion Energy Analysis (MEA) Time-Series
Description: A suite of tools useful to read, visualize and export bivariate motion energy time-series. Lagged synchrony between subjects can be analyzed through windowed cross-correlation. Surrogate data generation allows an estimation of pseudosynchrony that helps to estimate the effect size of the observed synchronization. Ramseyer & Tschacher (2011) <doi:10.1037/a0023419>.
Author: Johann R. Kleinbub, Fabian Ramseyer
Maintainer: Johann R. Kleinbub <johann.kleinbub@gmail.com>

Diff between rMEA versions 1.0.0 dated 2018-03-16 and 1.1.0 dated 2019-03-22

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Package parlitools updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-07

Title: Tools for Analysing UK Politics
Description: Provides various tools for analysing UK political data, including creating political cartograms and retrieving data.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between parlitools versions 0.3.0 dated 2019-01-07 and 0.3.1 dated 2019-03-22

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Package markophylo updated to version 1.0.7 with previous version 1.0.6 dated 2018-01-30

Title: Markov Chain Models for Phylogenetic Trees
Description: Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user- specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc. See Dang and Golding (2016) <doi:10.1093/bioinformatics/btv541> for more details.
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <udang@binghamton.edu>

Diff between markophylo versions 1.0.6 dated 2018-01-30 and 1.0.7 dated 2019-03-22

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Package YPInterimTesting updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-15

Title: Interim Monitoring Using Adaptively Weighted Log-Rank Test in Clinical Trials
Description: For any spending function specified by the user, this package provides corresponding boundaries for interim testing using the adaptively weighted log-rank test developed by Yang and Prentice (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). The package uses a re-sampling method to obtain stopping boundaries at the interim looks.The output consists of stopping boundaries and observed values of the test statistics at the interim looks, along with nominal p-values defined as the probability of the test exceeding the specific observed test statistic value or critical value, regardless of the test behavior at other looks. The asymptotic validity of the stopping boundaries is established in Yang (2018 <doi:10.1002/sim.7958>).
Author: Daewoo Pak and Song Yang
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>

Diff between YPInterimTesting versions 1.0.1 dated 2019-03-15 and 1.0.2 dated 2019-03-22

 DESCRIPTION           |    6 +++---
 MD5                   |    6 +++---
 NEWS.md               |    3 +++
 R/ypinterim.default.R |    3 ++-
 4 files changed, 11 insertions(+), 7 deletions(-)

More information about YPInterimTesting at CRAN
Permanent link

Package strvalidator updated to version 2.2.0 with previous version 2.1.0 dated 2018-08-25

Title: Process Control and Internal Validation of Forensic STR Kits
Description: An open source platform for validation and process control. Tools to analyze data from internal validation of forensic short tandem repeat (STR) kits are provided. The tools are developed to provide the necessary data to conform with guidelines for internal validation issued by the European Network of Forensic Science Institutes (ENFSI) DNA Working Group, and the Scientific Working Group on DNA Analysis Methods (SWGDAM). A front-end graphical user interface is provided. More information about each function can be found in the respective help documentation.
Author: Oskar Hansson
Maintainer: Oskar Hansson <oskhan@ous-hf.no>

Diff between strvalidator versions 2.1.0 dated 2018-08-25 and 2.2.0 dated 2019-03-22

 strvalidator-2.1.0/strvalidator/R/calculateAllele.r                        |only
 strvalidator-2.1.0/strvalidator/R/calculateSpike.r                         |only
 strvalidator-2.1.0/strvalidator/R/calculateSpike_gui.r                     |only
 strvalidator-2.2.0/strvalidator/DESCRIPTION                                |   15 
 strvalidator-2.2.0/strvalidator/MD5                                        |  402 
 strvalidator-2.2.0/strvalidator/NAMESPACE                                  |    3 
 strvalidator-2.2.0/strvalidator/NEWS                                       |   68 
 strvalidator-2.2.0/strvalidator/R/addColor.r                               |  266 
 strvalidator-2.2.0/strvalidator/R/addData.r                                |  215 
 strvalidator-2.2.0/strvalidator/R/addData_gui.r                            |  615 -
 strvalidator-2.2.0/strvalidator/R/addDye_gui.r                             |  467 -
 strvalidator-2.2.0/strvalidator/R/addMarker.r                              |  105 
 strvalidator-2.2.0/strvalidator/R/addMarker_gui.r                          |  377 
 strvalidator-2.2.0/strvalidator/R/addOrder.r                               |   80 
 strvalidator-2.2.0/strvalidator/R/addSize.r                                |  166 
 strvalidator-2.2.0/strvalidator/R/addSize_gui.r                            |  388 
 strvalidator-2.2.0/strvalidator/R/auditTrail.R                             |  130 
 strvalidator-2.2.0/strvalidator/R/calculateAT.r                            |  438 -
 strvalidator-2.2.0/strvalidator/R/calculateAT6.r                           |  229 
 strvalidator-2.2.0/strvalidator/R/calculateAT6_gui.r                       |  621 -
 strvalidator-2.2.0/strvalidator/R/calculateAT_gui.r                        | 1208 +-
 strvalidator-2.2.0/strvalidator/R/calculateAllT.r                          |  319 
 strvalidator-2.2.0/strvalidator/R/calculateAllT_gui.r                      |  372 
 strvalidator-2.2.0/strvalidator/R/calculateAllele.R                        |only
 strvalidator-2.2.0/strvalidator/R/calculateAllele_gui.r                    |  299 
 strvalidator-2.2.0/strvalidator/R/calculateCapillary.r                     |  298 
 strvalidator-2.2.0/strvalidator/R/calculateCapillary_gui.r                 |  441 -
 strvalidator-2.2.0/strvalidator/R/calculateConcordance.r                   |  282 
 strvalidator-2.2.0/strvalidator/R/calculateConcordance_gui.r               |  591 -
 strvalidator-2.2.0/strvalidator/R/calculateCopies.r                        |  119 
 strvalidator-2.2.0/strvalidator/R/calculateCopies_gui.r                    |  369 
 strvalidator-2.2.0/strvalidator/R/calculateDropout.r                       |  681 -
 strvalidator-2.2.0/strvalidator/R/calculateDropout_gui.r                   |  712 -
 strvalidator-2.2.0/strvalidator/R/calculateHb.r                            |  238 
 strvalidator-2.2.0/strvalidator/R/calculateHb_gui.r                        |  627 -
 strvalidator-2.2.0/strvalidator/R/calculateHeight.r                        |  349 
 strvalidator-2.2.0/strvalidator/R/calculateHeight_gui.r                    |  667 -
 strvalidator-2.2.0/strvalidator/R/calculateLb.r                            |  379 
 strvalidator-2.2.0/strvalidator/R/calculateLb_gui.r                        |  822 +
 strvalidator-2.2.0/strvalidator/R/calculateMixture.r                       |  414 
 strvalidator-2.2.0/strvalidator/R/calculateMixture_gui.r                   |  629 -
 strvalidator-2.2.0/strvalidator/R/calculateOL.r                            |  188 
 strvalidator-2.2.0/strvalidator/R/calculateOL_gui.r                        |  412 
 strvalidator-2.2.0/strvalidator/R/calculateOverlap.r                       |  332 
 strvalidator-2.2.0/strvalidator/R/calculateOverlap_gui.r                   |  606 -
 strvalidator-2.2.0/strvalidator/R/calculatePeaks.r                         |  147 
 strvalidator-2.2.0/strvalidator/R/calculatePeaks_gui.r                     |  442 -
 strvalidator-2.2.0/strvalidator/R/calculatePullup.r                        |  334 
 strvalidator-2.2.0/strvalidator/R/calculatePullup_gui.r                    |  692 -
 strvalidator-2.2.0/strvalidator/R/calculateRatio.r                         |  258 
 strvalidator-2.2.0/strvalidator/R/calculateRatio_gui.r                     |  719 -
 strvalidator-2.2.0/strvalidator/R/calculateResultType.r                    |  389 
 strvalidator-2.2.0/strvalidator/R/calculateResultType_gui.r                |  514 -
 strvalidator-2.2.0/strvalidator/R/calculateSlope.r                         |  215 
 strvalidator-2.2.0/strvalidator/R/calculateSlope_gui.r                     |  586 -
 strvalidator-2.2.0/strvalidator/R/calculateSpike.R                         |only
 strvalidator-2.2.0/strvalidator/R/calculateSpike_gui.R                     |only
 strvalidator-2.2.0/strvalidator/R/calculateStutter.r                       |  422 
 strvalidator-2.2.0/strvalidator/R/calculateStutter_gui.r                   |  673 -
 strvalidator-2.2.0/strvalidator/R/calculateT.r                             |  148 
 strvalidator-2.2.0/strvalidator/R/checkDataset.r                           |  119 
 strvalidator-2.2.0/strvalidator/R/checkSubset.r                            |   96 
 strvalidator-2.2.0/strvalidator/R/checkSubset_gui.r                        |  446 -
 strvalidator-2.2.0/strvalidator/R/colConvert.r                             |   33 
 strvalidator-2.2.0/strvalidator/R/colNames.r                               |   94 
 strvalidator-2.2.0/strvalidator/R/columns.r                                |  131 
 strvalidator-2.2.0/strvalidator/R/columns_gui.r                            |  518 -
 strvalidator-2.2.0/strvalidator/R/combineBinsAndPanels.r                   |   86 
 strvalidator-2.2.0/strvalidator/R/combine_gui.r                            |  323 
 strvalidator-2.2.0/strvalidator/R/cropData_gui.r                           |  885 +-
 strvalidator-2.2.0/strvalidator/R/detectKit.r                              |  483 -
 strvalidator-2.2.0/strvalidator/R/editData_gui.r                           |  710 -
 strvalidator-2.2.0/strvalidator/R/export.r                                 |  333 
 strvalidator-2.2.0/strvalidator/R/export_gui.r                             |  573 -
 strvalidator-2.2.0/strvalidator/R/filterProfile.r                          |  644 -
 strvalidator-2.2.0/strvalidator/R/filterProfile_gui.r                      |  747 -
 strvalidator-2.2.0/strvalidator/R/generateEPG.r                            |  442 -
 strvalidator-2.2.0/strvalidator/R/generateEPG_gui.r                        |  720 -
 strvalidator-2.2.0/strvalidator/R/getDb.r                                  |   90 
 strvalidator-2.2.0/strvalidator/R/getKit.r                                 |  389 
 strvalidator-2.2.0/strvalidator/R/ggsave_gui.r                             |  828 +
 strvalidator-2.2.0/strvalidator/R/globals.R                                |   44 
 strvalidator-2.2.0/strvalidator/R/guessProfile.r                           |  147 
 strvalidator-2.2.0/strvalidator/R/guessProfile_gui.r                       |  420 
 strvalidator-2.2.0/strvalidator/R/heightToPeak.r                           |   95 
 strvalidator-2.2.0/strvalidator/R/hooks.r                                  |    6 
 strvalidator-2.2.0/strvalidator/R/import.r                                 |  192 
 strvalidator-2.2.0/strvalidator/R/import_gui.r                             |  758 -
 strvalidator-2.2.0/strvalidator/R/listObjects.r                            |   48 
 strvalidator-2.2.0/strvalidator/R/makeKit_gui.r                            |  879 +-
 strvalidator-2.2.0/strvalidator/R/maskAT.r                                 |  382 
 strvalidator-2.2.0/strvalidator/R/modelDropout_gui.r                       | 1715 ++--
 strvalidator-2.2.0/strvalidator/R/plotAT_gui.r                             |  827 +
 strvalidator-2.2.0/strvalidator/R/plotBalance_gui.r                        | 1585 +--
 strvalidator-2.2.0/strvalidator/R/plotCapillary_gui.r                      |  945 +-
 strvalidator-2.2.0/strvalidator/R/plotContamination_gui.r                  |  614 -
 strvalidator-2.2.0/strvalidator/R/plotDistribution_gui.r                   | 1226 +-
 strvalidator-2.2.0/strvalidator/R/plotDropout_gui.r                        | 1404 +--
 strvalidator-2.2.0/strvalidator/R/plotGroups_gui.r                         |  743 -
 strvalidator-2.2.0/strvalidator/R/plotKit_gui.r                            |  614 -
 strvalidator-2.2.0/strvalidator/R/plotPeaks_gui.r                          |  608 -
 strvalidator-2.2.0/strvalidator/R/plotPrecision_gui.r                      | 1435 +--
 strvalidator-2.2.0/strvalidator/R/plotPullup_gui.r                         | 1278 +-
 strvalidator-2.2.0/strvalidator/R/plotRatio_gui.r                          |  687 -
 strvalidator-2.2.0/strvalidator/R/plotResultType_gui.r                     |  637 -
 strvalidator-2.2.0/strvalidator/R/plotSlope_gui.r                          |  655 -
 strvalidator-2.2.0/strvalidator/R/plotStutter_gui.r                        | 1158 +-
 strvalidator-2.2.0/strvalidator/R/readBinsFile.r                           |  134 
 strvalidator-2.2.0/strvalidator/R/readPanelsFile.r                         |  118 
 strvalidator-2.2.0/strvalidator/R/removeArtefact.r                         |  144 
 strvalidator-2.2.0/strvalidator/R/removeArtefact_gui.r                     |  319 
 strvalidator-2.2.0/strvalidator/R/removeSpike.r                            |  167 
 strvalidator-2.2.0/strvalidator/R/removeSpike_gui.r                        |  300 
 strvalidator-2.2.0/strvalidator/R/saveObject.r                             |  166 
 strvalidator-2.2.0/strvalidator/R/scrambleAlleles.r                        |  107 
 strvalidator-2.2.0/strvalidator/R/slim.r                                   |  199 
 strvalidator-2.2.0/strvalidator/R/slim_gui.r                               |  693 -
 strvalidator-2.2.0/strvalidator/R/sortMarker.r                             |  199 
 strvalidator-2.2.0/strvalidator/R/strvalidator-package.r                   |   95 
 strvalidator-2.2.0/strvalidator/R/strvalidator.r                           | 4277 +++++-----
 strvalidator-2.2.0/strvalidator/R/tableBalance.r                           |  130 
 strvalidator-2.2.0/strvalidator/R/tableBalance_gui.r                       |  396 
 strvalidator-2.2.0/strvalidator/R/tableCapillary.r                         |  342 
 strvalidator-2.2.0/strvalidator/R/tableCapillary_gui.r                     |  392 
 strvalidator-2.2.0/strvalidator/R/tablePrecision.r                         |  160 
 strvalidator-2.2.0/strvalidator/R/tablePrecision_gui.r                     |  912 +-
 strvalidator-2.2.0/strvalidator/R/tableStutter.r                           |  130 
 strvalidator-2.2.0/strvalidator/R/tableStutter_gui.r                       |  402 
 strvalidator-2.2.0/strvalidator/R/trim.r                                   |  290 
 strvalidator-2.2.0/strvalidator/R/trim_gui.r                               |  861 +-
 strvalidator-2.2.0/strvalidator/README.md                                  |   50 
 strvalidator-2.2.0/strvalidator/man/addColor.Rd                            |   10 
 strvalidator-2.2.0/strvalidator/man/addData.Rd                             |    6 
 strvalidator-2.2.0/strvalidator/man/addData_gui.Rd                         |    2 
 strvalidator-2.2.0/strvalidator/man/addMarker_gui.Rd                       |    2 
 strvalidator-2.2.0/strvalidator/man/auditTrail.Rd                          |    6 
 strvalidator-2.2.0/strvalidator/man/calculateAT.Rd                         |    4 
 strvalidator-2.2.0/strvalidator/man/calculateAllT.Rd                       |   10 
 strvalidator-2.2.0/strvalidator/man/calculateAllele.Rd                     |    4 
 strvalidator-2.2.0/strvalidator/man/calculateCapillary_gui.Rd              |    2 
 strvalidator-2.2.0/strvalidator/man/calculateConcordance.Rd                |    4 
 strvalidator-2.2.0/strvalidator/man/calculateDropout.Rd                    |    2 
 strvalidator-2.2.0/strvalidator/man/calculateHb.Rd                         |    4 
 strvalidator-2.2.0/strvalidator/man/calculateHeight_gui.Rd                 |    2 
 strvalidator-2.2.0/strvalidator/man/calculateLb.Rd                         |    5 
 strvalidator-2.2.0/strvalidator/man/calculateMixture.Rd                    |    8 
 strvalidator-2.2.0/strvalidator/man/calculateOverlap.Rd                    |    4 
 strvalidator-2.2.0/strvalidator/man/calculateOverlap_gui.Rd                |    2 
 strvalidator-2.2.0/strvalidator/man/calculatePeaks.Rd                      |    2 
 strvalidator-2.2.0/strvalidator/man/calculatePullup.Rd                     |    2 
 strvalidator-2.2.0/strvalidator/man/calculateRatio.Rd                      |   12 
 strvalidator-2.2.0/strvalidator/man/calculateResultType_gui.Rd             |    2 
 strvalidator-2.2.0/strvalidator/man/calculateSpike.Rd                      |    2 
 strvalidator-2.2.0/strvalidator/man/calculateSpike_gui.Rd                  |    2 
 strvalidator-2.2.0/strvalidator/man/calculateStutter.Rd                    |    2 
 strvalidator-2.2.0/strvalidator/man/calculateStutter_gui.Rd                |    2 
 strvalidator-2.2.0/strvalidator/man/calculateT.Rd                          |    2 
 strvalidator-2.2.0/strvalidator/man/checkSubset.Rd                         |    2 
 strvalidator-2.2.0/strvalidator/man/columns.Rd                             |    8 
 strvalidator-2.2.0/strvalidator/man/combineBinsAndPanels.Rd                |    4 
 strvalidator-2.2.0/strvalidator/man/export.Rd                              |    2 
 strvalidator-2.2.0/strvalidator/man/export_gui.Rd                          |    2 
 strvalidator-2.2.0/strvalidator/man/filterProfile.Rd                       |    2 
 strvalidator-2.2.0/strvalidator/man/generateEPG_gui.Rd                     |    2 
 strvalidator-2.2.0/strvalidator/man/getKit.Rd                              |    4 
 strvalidator-2.2.0/strvalidator/man/guessProfile.Rd                        |    2 
 strvalidator-2.2.0/strvalidator/man/import_gui.Rd                          |    2 
 strvalidator-2.2.0/strvalidator/man/listObjects.Rd                         |    5 
 strvalidator-2.2.0/strvalidator/man/makeKit_gui.Rd                         |    2 
 strvalidator-2.2.0/strvalidator/man/maskAT.Rd                              |    2 
 strvalidator-2.2.0/strvalidator/man/modelDropout_gui.Rd                    |    2 
 strvalidator-2.2.0/strvalidator/man/plotContamination_gui.Rd               |    2 
 strvalidator-2.2.0/strvalidator/man/plotDropout_gui.Rd                     |    2 
 strvalidator-2.2.0/strvalidator/man/plotGroups_gui.Rd                      |    2 
 strvalidator-2.2.0/strvalidator/man/plotPeaks_gui.Rd                       |    4 
 strvalidator-2.2.0/strvalidator/man/plotRatio_gui.Rd                       |    2 
 strvalidator-2.2.0/strvalidator/man/plotResultType_gui.Rd                  |    4 
 strvalidator-2.2.0/strvalidator/man/plotStutter_gui.Rd                     |    2 
 strvalidator-2.2.0/strvalidator/man/saveObject.Rd                          |    2 
 strvalidator-2.2.0/strvalidator/man/slim_gui.Rd                            |    2 
 strvalidator-2.2.0/strvalidator/man/sortMarker.Rd                          |    2 
 strvalidator-2.2.0/strvalidator/man/strvalidator-package.Rd                |    4 
 strvalidator-2.2.0/strvalidator/man/strvalidator.Rd                        |    3 
 strvalidator-2.2.0/strvalidator/man/tableBalance_gui.Rd                    |    2 
 strvalidator-2.2.0/strvalidator/man/tableCapillary.Rd                      |    2 
 strvalidator-2.2.0/strvalidator/man/tableCapillary_gui.Rd                  |    2 
 strvalidator-2.2.0/strvalidator/man/tablePrecision_gui.Rd                  |    2 
 strvalidator-2.2.0/strvalidator/man/tableStutter_gui.Rd                    |    2 
 strvalidator-2.2.0/strvalidator/man/trim.Rd                                |    2 
 strvalidator-2.2.0/strvalidator/man/trim_gui.Rd                            |    2 
 strvalidator-2.2.0/strvalidator/tests/testthat.R                           |    4 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-addSize.r              |  152 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateAllT.r        |  451 -
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateConcordance.r |  779 -
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateDropout.r     |  392 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateHb.r          |  662 -
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateHeight.r      |  536 -
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateLb.r          | 1011 +-
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateMixture.r     | 1027 +-
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateOL.r          |  235 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-calculateStutter.r     |  559 -
 strvalidator-2.2.0/strvalidator/tests/testthat/test-filterProfile.r        |  965 +-
 strvalidator-2.2.0/strvalidator/tests/testthat/test-heightToPeak.r         |  122 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-tableBalance.r         |  170 
 strvalidator-2.2.0/strvalidator/tests/testthat/test-trim.r                 |  336 
 205 files changed, 35364 insertions(+), 32481 deletions(-)

More information about strvalidator at CRAN
Permanent link

New package simTool with initial version 1.1.3
Package: simTool
Type: Package
Title: Conduct Simulation Studies with a Minimal Amount of Source Code
Version: 1.1.3
Date: 2019-03-01
Authors@R: person("Marsel", "Scheer", role = c("aut", "cre"), email = "scheer@freescience.de")
Maintainer: Marsel Scheer <scheer@freescience.de>
Description: Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
Depends: R (>= 2.14.0)
Imports: plyr (>= 1.8.1), reshape (>= 0.8.5), dplyr (>= 0.7.2), purrr (>= 0.2.3), tidyr (>= 0.6.2), tibble (>= 2.0.0), parallel, methods
Suggests: ggplot2, knitr, boot, broom, testthat, rmarkdown
License: GPL-3
VignetteBuilder: knitr
RoxygenNote: 6.0.1
URL: https://github.com/MarselScheer/simTool
BugReports: https://github.com/MarselScheer/simTool/issues
NeedsCompilation: no
Packaged: 2019-03-06 18:42:16 UTC; m
Author: Marsel Scheer [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-22 14:00:02 UTC

More information about simTool at CRAN
Permanent link

Package openssl updated to version 1.3 with previous version 1.2.2 dated 2019-03-01

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 1.2.2 dated 2019-03-01 and 1.3 dated 2019-03-22

 openssl-1.2.2/openssl/tests/keys/id_rsa.sshpem1         |only
 openssl-1.3/openssl/DESCRIPTION                         |    8 
 openssl-1.3/openssl/LICENSE                             |    2 
 openssl-1.3/openssl/MD5                                 |   66 +++--
 openssl-1.3/openssl/NAMESPACE                           |    3 
 openssl-1.3/openssl/NEWS                                |    4 
 openssl-1.3/openssl/R/bcrypt.R                          |only
 openssl-1.3/openssl/R/build.R                           |   29 +-
 openssl-1.3/openssl/R/read.R                            |    4 
 openssl-1.3/openssl/R/ssh2.R                            |  200 ++++++++++++++--
 openssl-1.3/openssl/build/vignette.rds                  |binary
 openssl-1.3/openssl/configure                           |    2 
 openssl-1.3/openssl/inst/doc/bignum.html                |   41 +--
 openssl-1.3/openssl/inst/doc/crypto_hashing.html        |   21 +
 openssl-1.3/openssl/inst/doc/keys.html                  |   55 ++--
 openssl-1.3/openssl/inst/doc/secure_rng.html            |   31 +-
 openssl-1.3/openssl/man/pbkdf.Rd                        |only
 openssl-1.3/openssl/src/Makevars.in                     |   13 -
 openssl-1.3/openssl/src/Makevars.win                    |   26 +-
 openssl-1.3/openssl/src/bcrypt                          |only
 openssl-1.3/openssl/src/openssh.c                       |   16 +
 openssl-1.3/openssl/src/pbkdf.c                         |only
 openssl-1.3/openssl/tests/keys/id_dsa.openssh           |only
 openssl-1.3/openssl/tests/keys/id_dsa.openssh.pw        |only
 openssl-1.3/openssl/tests/keys/id_dsa.sshpub            |only
 openssl-1.3/openssl/tests/keys/id_ecdsa.openssh         |only
 openssl-1.3/openssl/tests/keys/id_ecdsa.openssh.pw      |only
 openssl-1.3/openssl/tests/keys/id_ecdsa.sshpub          |only
 openssl-1.3/openssl/tests/keys/id_ecdsa384.openssh      |only
 openssl-1.3/openssl/tests/keys/id_ecdsa384.openssh.pw   |only
 openssl-1.3/openssl/tests/keys/id_ecdsa384.sshpub       |only
 openssl-1.3/openssl/tests/keys/id_ecdsa521.openssh      |only
 openssl-1.3/openssl/tests/keys/id_ecdsa521.openssh.pw   |only
 openssl-1.3/openssl/tests/keys/id_ecdsa521.sshpub       |only
 openssl-1.3/openssl/tests/keys/id_ed25519.openssh       |only
 openssl-1.3/openssl/tests/keys/id_ed25519.sshpub        |only
 openssl-1.3/openssl/tests/keys/id_rsa.openssh           |only
 openssl-1.3/openssl/tests/keys/id_rsa.openssh.pw        |only
 openssl-1.3/openssl/tests/keys/id_rsa.sshpub            |only
 openssl-1.3/openssl/tests/testthat/test_keys_dsa.R      |    9 
 openssl-1.3/openssl/tests/testthat/test_keys_ecdsa.R    |    9 
 openssl-1.3/openssl/tests/testthat/test_keys_ecdsa384.R |    8 
 openssl-1.3/openssl/tests/testthat/test_keys_ecdsa521.R |    8 
 openssl-1.3/openssl/tests/testthat/test_keys_rsa.R      |    6 
 44 files changed, 420 insertions(+), 141 deletions(-)

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Package medfate updated to version 0.7.4 with previous version 0.7.3 dated 2019-03-19

Title: Mediterranean Forest Simulation
Description: Functions to simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>].
Author: Miquel De Cáceres [aut, cre], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between medfate versions 0.7.3 dated 2019-03-19 and 0.7.4 dated 2019-03-22

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Package indelmiss updated to version 1.0.9 with previous version 1.0.8 dated 2018-01-30

Title: Insertion Deletion Analysis While Accounting for Possible Missing Data
Description: Genome-wide gene insertion and deletion rates can be modelled in a maximum likelihood framework with the additional flexibility of modelling potential missing data using the models included within. These models simultaneously estimate insertion and deletion (indel) rates of gene families and proportions of "missing" data for (multiple) taxa of interest. The likelihood framework is utilized for parameter estimation. A phylogenetic tree of the taxa and gene presence/absence patterns (with data ordered by the tips of the tree) are required. See Dang et al. (2016) <doi:10.1534/genetics.116.191973> for more details.
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <udang@binghamton.edu>

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Package ggdmc updated to version 0.2.5.6 with previous version 0.2.5.2 dated 2018-09-01

Title: Cognitive Models
Description: Hierarchical Bayesian models. The package provides tools to fit two popular response time models, using population-based Markov Chain Monte Carlo (pMCMC). The paper by Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2018, <doi:10.3758/s13428-018-1067-y>) describes the prototype of the package.
Author: Yi-Shin Lin [aut, cre], Andrew Heathcote [aut]
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>

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Package geodist updated to version 0.0.2 with previous version 0.0.1 dated 2018-07-13

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph] (Original author of included code for geodesic distances)
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package spatstat updated to version 1.59-0 with previous version 1.58-2 dated 2019-01-10

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

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More information about spatstat at CRAN
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Package psda updated to version 1.3.1 with previous version 1.3.0 dated 2019-03-19

Title: Polygonal Symbolic Data Analysis
Description: An implementation of symbolic polygonal data analysis. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on polygonal histogram and a regression model with its main measures are presented.
Author: Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]
Maintainer: Wagner Silva <wjfs@cin.ufpe.br>

Diff between psda versions 1.3.0 dated 2019-03-19 and 1.3.1 dated 2019-03-22

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Package osc updated to version 1.0.4 with previous version 1.0.0 dated 2016-05-10

Title: Orthodromic Spatial Clustering
Description: Allows distance based spatial clustering of georeferenced data by implementing the City Clustering Algorithm - CCA. Multiple versions allow clustering for matrix, raster and single coordinates on a plain (euclidean distance) or on a sphere (great-circle or orthodromic distance).
Author: Steffen Kriewald, Till Fluschnik, Dominik Reusser, Diego Rybski
Maintainer: Steffen Kriewald <kriewald@pik-potsdam.de>

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Package bigKRLS updated to version 3.0.5 with previous version 3.0.2 dated 2019-02-24

Title: Optimized Kernel Regularized Least Squares
Description: Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools. For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>. bigKRLS, as well its dependencies, require current versions of R and its compilers (and RStudio if used). For details, see <https://github.com/rdrr1990/bigKRLS/blob/master/INSTALL.md>.
Author: Pete Mohanty [aut, cre] (<https://orcid.org/0000-0001-8531-3345>), Robert Shaffer [aut] (<https://orcid.org/0000-0002-2081-2407>)
Maintainer: Pete Mohanty <pete.mohanty@gmail.com>

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New package apparent with initial version 1.1
Package: apparent
Version: 1.1
Date: 2019-03-18
Title: Accurate Parentage Analysis in the Absence of Guiding Information
Author: Arthur Melo, Iago Hale
Maintainer: Arthur Melo <arthurmelobio@gmail.com>
Description: Performs parentage analysis based on a test of genetic identity between expected progeny (EPij), built using Single Nucleotide Polymorphism (SNP) homozygous loci from all pairs of possible parents (i and j), and all potential offspring (POk). Using the Gower Dissimilarity metric (GD), genetic identity between EPij and POk is taken as evidence that individuals i and j are the true parents of offspring k. Evaluation of triad (two parents + offspring) significance is based on the distribution of all GD (EPij|k) values. Specifically, a Dixon test is used to identify a gap-based threshold that separates true triads and from spurious associations. For any offspring not successfully assigned to a pair of parents, perhaps due to the absence of one parent from the test population, a non-mandatory Dyad analysis can be employed to identify a likely single parent for a given offspring. In this analysis, a two-stage test is applied to discriminate an offspring's true parent from its other close relatives (e.g. siblings) that may also be present in the population. In the first stage, 'apparent' calculates the mean GD (GDM) between a POk and all expected progeny arising from the j possible triads involving potential parent i. In the second stage, it calculates a coefficient of variation (GDCV) among the pairwise GD's between POk and each expected progeny arising from the j triads involving potential parent i. An individual that is simultaneously a low outlier in the first test and a high outlier in the second is identified as a likely parent of POk. In an effort to facilitate interpretation, results of both the triad and optional dyad analyses are presented in tabular and graphical form.
Depends: R (>= 3.0.2), outliers
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 6.0.1
Packaged: 2019-03-18 16:27:37 UTC; arthurtavares
Date/Publication: 2019-03-22 13:33:30 UTC

More information about apparent at CRAN
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Package textmineR updated to version 3.0.3 with previous version 3.0.2 dated 2019-01-09

Title: Functions for Text Mining and Topic Modeling
Description: An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
Author: Tommy Jones [aut, cre], William Doane [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

Diff between textmineR versions 3.0.2 dated 2019-01-09 and 3.0.3 dated 2019-03-22

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More information about textmineR at CRAN
Permanent link

Package RcppArmadillo updated to version 0.9.300.2.0 with previous version 0.9.200.7.1 dated 2019-03-08

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.200.7.1 dated 2019-03-08 and 0.9.300.2.0 dated 2019-03-22

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Permanent link

Package xxIRT updated to version 2.1.2 with previous version 2.1.1 dated 2018-10-02

Title: Item Response Theory and Computer-Based Testing in R
Description: A suite of psychometric analysis tools for research and operation, including: (1) computation of probability, information, and likelihood for the 3PL, GPCM, and GRM; (2) parameter estimation using joint or marginal likelihood estimation method; (3) simulation of computerized adaptive testing using built-in or customized algorithms; (4) assembly and simulation of multistage testing. The full documentation and tutorials are at <https://github.com/xluo11/xxIRT>.
Author: Xiao Luo [aut, cre]
Maintainer: Xiao Luo <xluo1986@gmail.com>

Diff between xxIRT versions 2.1.1 dated 2018-10-02 and 2.1.2 dated 2019-03-22

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Package StratigrapheR updated to version 0.0.3 with previous version 0.0.2 dated 2019-03-11

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

Diff between StratigrapheR versions 0.0.2 dated 2019-03-11 and 0.0.3 dated 2019-03-22

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New package plainview with initial version 0.1.0
Package: plainview
Type: Package
Title: Plot Raster Images Interactively on a Plain HTML Canvas
Version: 0.1.0
Date: 2019-03-18
Authors@R: c(person(given = "Tim", family = "Appelhans", role = c("cre", "aut"), email = "tim.appelhans@gmail.com"), person(given = "Stefan", family = "Woellauer", role = "aut", email = "stephan.woellauer@geo.uni-marburg.de"))
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Description: Provides methods for plotting potentially large (raster) images interactively on a plain HTML canvas. In contrast to package 'mapview' data are plotted without background map, but data can be projected to any spatial coordinate reference system. Supports plotting of classes 'RasterLayer', 'RasterStack', 'RasterBrick' (from package 'raster') as well as 'png' files located on disk. Interactivity includes zooming, panning, and mouse location information. In case of multi-layer 'RasterStacks' or 'RasterBricks', RGB image plots are created (similar to 'raster::plotRGB' - but interactive).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10), methods
Imports: gdalUtils, htmltools, htmlwidgets, lattice, png, raster, viridisLite
Suggests: shiny
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-18 20:21:04 UTC; timpanse
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut]
Repository: CRAN
Date/Publication: 2019-03-22 10:50:03 UTC

More information about plainview at CRAN
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Package kmcudaR updated to version 1.1.0 with previous version 1.0.0 dated 2017-05-03

Title: 'Yingyang' K-Means and K-NN using NVIDIA CUDA
Description: K-means implementation is base on "Yingyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup". While it introduces some overhead and many conditional clauses which are bad for CUDA, it still shows 1.6-2x speedup against the Lloyd algorithm. K-nearest neighbors employ the same triangle inequality idea and require precalculated centroids and cluster assignments, similar to the flattened ball tree.
Author: Vadim Markovtsev, Charles Determan
Maintainer: Charles Determan <cdetermanjr@gmail.com>

Diff between kmcudaR versions 1.0.0 dated 2017-05-03 and 1.1.0 dated 2019-03-22

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Package edgar updated to version 2.0.1 with previous version 2.0.0 dated 2019-03-18

Title: Platform for EDGAR Filing Management and Textual Analysis
Description: In the USA, companies file different forms with the U.S. Securities and Exchange Commission (SEC) through EDGAR (Electronic Data Gathering, Analysis, and Retrieval system). The EDGAR database automated system collects all the different necessary filings and makes it publicly available. Investors, regulators, and researchers often require these forms for various purposes. This package helps in bulk data gathering and textual analysis of EDGAR filings. It downloads filings from SEC server in bulk with a single query. Additionally, it provides various useful functions: extracts 8-K triggering events, extract "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)" sections of annual statements, search filings for desired words, provides sentiment measures, parse filing header information, and provides HTML view of SEC filings.
Author: Gunratan Lonare <lonare.gunratan@gmail.com>, Bharat Patil <bharatspatil@gmail.com>
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

Diff between edgar versions 2.0.0 dated 2019-03-18 and 2.0.1 dated 2019-03-22

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Package dclone updated to version 2.3-0 with previous version 2.2-0 dated 2018-02-26

Title: Data Cloning and MCMC Tools for Maximum Likelihood Methods
Description: Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 (R Journal 2(2):29--37). Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

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Package shiftR updated to version 1.5 with previous version 1.4 dated 2018-03-03

Title: Fast Enrichment Analysis via Circular Permutations
Description: Fast enrichment analysis for locally correlated statistics via circular permutations. The analysis can be performed at multiple significance thresholds for both primary and auxiliary data sets with efficient correction for multiple testing.
Author: Andrey A Shabalin [aut, cre] (<https://orcid.org/0000-0003-0309-6821>), Edwin J C G van den Oord [aut]
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

Diff between shiftR versions 1.4 dated 2018-03-03 and 1.5 dated 2019-03-22

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Package seacarb updated to version 3.2.12 with previous version 3.2.11 dated 2019-01-19

Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph], Jean-Marie Epitalon [aut], Heloise Lavigne [aut], James Orr [aut], Bernard Gentili [ctb], Mathilde Hagens [ctb], Andreas Hofmann [ctb], Jens-Daniel Mueller [ctb], Aurélien Proye [ctb], James Rae [ctb], Karline Soetaert [ctb]
Maintainer: Jean-Pierre Gattuso <gattuso@obs-vlfr.fr>

Diff between seacarb versions 3.2.11 dated 2019-01-19 and 3.2.12 dated 2019-03-22

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Package polynom updated to version 1.4-0 with previous version 1.3-9 dated 2016-12-08

Title: A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations
Description: A collection of functions to implement a class for univariate polynomial manipulations.
Author: Bill Venables [aut, cre] (S original), Kurt Hornik [aut] (R port), Martin Maechler [aut] (R port)
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between polynom versions 1.3-9 dated 2016-12-08 and 1.4-0 dated 2019-03-22

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New package MM2S with initial version 1.0.6
Package: MM2S
Type: Package
Version: 1.0.6
Date: 2019-03-12
Title: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
Description: A single-sample classifier that generates Medulloblastoma (MB) subtype predictions for single-samples of human Medulloblastoma (MB) patients and model systems, including cell lines and mouse-models. The MM2S algorithm uses a systems-based methodology that facilitates application of the algorithm on samples irrespective of their platform or source of origin. MM2S demonstrates > 96% accuracy for patients of well-characterized normal cerebellum, Wingless (WNT), or Sonic hedgehog (SHH) subtypes, and the less-characterized Group4 (86%) and Group3 (78.2%). MM2S also enables classification of MB cell lines and mouse models into their human counterparts.This package contains function for implementing the classifier onto human data and mouse data, as well as graphical rendering of the results as PCA (Principal Component Analysis) plots and heatmaps. Deena Gendoo and Benjamin Haibe-Kains (2016) <doi:10.1186/s13029-016-0053-y>.
Author: Deena M.A. Gendoo <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Depends: GSVA (>= 1.13.1), kknn (>= 1.2-5), parallel, lattice, pheatmap, R (>= 2.10)
Suggests: knitr, MM2Sdata
Imports: datasets, grDevices, graphics, stats, utils
VignetteBuilder: knitr
License: GPL-3
biocViews: MM2Sdata, Cancer, Classification, Microarray, Software, Visualization
URL: https://scfbm.biomedcentral.com/articles/10.1186/s13029-016-0053-y, http://www.sciencedirect.com/science/article/pii/S0888754315000774, http://www.pmgenomics.ca/bhklab/software/mm2s
LazyData: yes
NeedsCompilation: no
Packaged: 2019-03-21 20:41:26 UTC; gangesh
Repository: CRAN
Date/Publication: 2019-03-22 09:53:44 UTC

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Package EMCluster updated to version 0.2-12 with previous version 0.2-11 dated 2019-03-07

Title: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Description: EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb] (some functions are modified from the R source code)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package cleanr updated to version 1.2.0 with previous version 1.1.3 dated 2017-01-17

Title: Helps You to Code Cleaner
Description: Check your R code for some of the most common layout flaws. Many tried to teach us how to write code less dreadful, be it implicitly as B. W. Kernighan and D. M. Ritchie (1988) <ISBN:0-13-110362-8> in 'The C Programming Language' did, be it explicitly as R.C. Martin (2008) <ISBN:0-13-235088-2> in 'Clean Code: A Handbook of Agile Software Craftsmanship' did. So we should check our code for files too long or wide, functions with too many lines, too wide lines, too many arguments or too many levels of nesting. Note: This is not a static code analyzer like pylint or the like. Checkout <https://cran.r-project.org/package=lintr> instead.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package CBPS updated to version 0.20 with previous version 0.19 dated 2018-06-17

Title: Covariate Balancing Propensity Score
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements optimal CBPS from Fan et al. (2016) <https://imai.fas.harvard.edu/research/CBPStheory.html>, several extensions of the CBPS beyond the cross-sectional, binary treatment setting. They include the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four-valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2018) <DOI:10.1214/17-AOAS1101>, propensity score estimation with a large number of covariates from Ning, Peng, and Imai (2018) <arXiv:1812.08683>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates.
Author: Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]
Maintainer: Christian Fong <christianfong@stanford.edu>

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Package glcm (with last version 1.6.1) was removed from CRAN

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

2016-03-08 1.6.1
2015-11-21 1.4
2015-01-03 1.2
2014-09-26 1.0
2014-07-30 0.3.2
2014-04-24 0.3.1
2014-02-17 0.2
2014-02-12 0.1

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Package atlantistools (with last version 0.4.3) was removed from CRAN

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

2017-08-16 0.4.3
2017-05-18 0.4.2
2017-05-09 0.4.1

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Package SDEFSR (with last version 0.7.1.0) was removed from CRAN

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

2016-07-13 0.7.1.0

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Package lgr updated to version 0.2.0 with previous version 0.1.1 dated 2019-02-22

Title: A Fully Featured Logging Framework
Description: A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', memory buffers, and databases, as well as email and push notifications. For a full list of features with examples please refer to the package vignette.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package RZooRoH updated to version 0.2.3 with previous version 0.2.2 dated 2018-11-19

Title: Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes
Description: Functions to identify Homozygous-by-Descent (HBD) segments associated with runs of homozygosity (ROH) and to estimate individual autozygosity (or inbreeding coefficient). HBD segments and autozygosity are assigned to multiple HBD classes with a model-based approach relying on a mixture of exponential distributions. The rate of the exponential distribution is distinct for each HBD class and defines the expected length of the HBD segments. These HBD classes are therefore related to the age of the segments (longer segments and smaller rates for recent autozygosity / recent common ancestor). The functions allow to estimate the parameters of the model (rates of the exponential distributions, mixing proportions), to estimate global and local autozygosity probabilities and to identify HBD segments with the Viterbi decoding. The method is fully described in Druet and Gautier (2017) <doi:10.1111/mec.14324>.
Author: Tom Druet, Naveen Kumar Kadri, Amandine Bertrand and Mathieu Gautier
Maintainer: Tom Druet <tom.druet@uliege.be>

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Package heatmap3 updated to version 1.1.6 with previous version 1.1.1 dated 2015-04-08

Title: An Improved Heatmap Package
Description: An improved heatmap package. Completely compatible with the original R function 'heatmap', and provides more powerful and convenient features.
Author: Shilin Zhao, Linlin Yin, Yan Guo, Quanhu Sheng, Yu Shyr
Maintainer: Shilin Zhao <shilin.zhao@vanderbilt.edu>

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Package support.BWS2 updated to version 0.2-2 with previous version 0.2-1 dated 2019-01-06

Title: Basic Functions for Supporting an Implementation of Case 2 Best-Worst Scaling
Description: Provides three basic functions that support an implementation of Case 2 (profile case) best-worst scaling. The first is to convert an orthogonal main-effect design into questions, the second is to create a dataset suitable for analysis, and the third is to calculate count-based scores.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package sentimentr updated to version 2.7.1 with previous version 2.6.1 dated 2018-10-20

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

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Package JuliaCall updated to version 0.16.5 with previous version 0.16.4 dated 2019-02-18

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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