Mon, 04 May 2020

New package rviewgraph with initial version 1.3.0
Package: rviewgraph
Type: Package
Title: Animated Graph Layout Viewer
Version: 1.3.0
Date: 2020-04-16
Author: Alun Thomas
Maintainer: Alun Thomas <Alun.Thomas@utah.edu>
Description: This is an 'R' interface to Alun Thomas's 'ViewGraph' 'Java' graph viewing program. It takes a graph specified as an incidence matrix, list of edges, or in 'igraph' format and runs a graphical user interface that shows an animation of a force directed algorithm positioning the vertices in two dimensions. It works well for graphs of various structure of up to a few thousand vertices. It's not fazed by graphs that comprise several components. The coordinates can be read as an 'igraph' style layout matrix at any time. The user can mess with the layout using a mouse, preferably one with 3 buttons, and some keyed commands.
Suggests:
Enhances: igraph, Matrix
Depends: rJava
SystemRequirements: 'Java' version >= 8
License: GPL-2
LazyLoad: yes
Packaged: 2020-05-04 18:46:52 UTC; alun
Collate: 'onLoad.R' 'rViewGraph.R'
RoxygenNote: 6.1.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2020-05-04 22:00:02 UTC

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Package npreg updated to version 1.0-2 with previous version 1.0-1 dated 2019-12-10

Title: Nonparametric Regression
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package gets updated to version 0.23 with previous version 0.22 dated 2020-04-01

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 DChaos updated to version 0.1-4 with previous version 0.1-3 dated 2019-10-16

Title: Chaotic Time Series Analysis
Description: Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.
Author: Julio E. Sandubete [aut, cre], Lorenzo Escot [aut]
Maintainer: Julio E. Sandubete <jsandube@ucm.es>

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Package calcUnique updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-01

Title: Simple Wrapper for Computationally Expensive Functions
Description: This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.
Author: Stephen Froehlich
Maintainer: Stephen Froehlich <stephen.froehlich@gmail.com>

Diff between calcUnique versions 0.1.1 dated 2020-05-01 and 0.1.2 dated 2020-05-04

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Package Rtrack updated to version 1.0.0 with previous version 0.9.6 dated 2020-01-27

Title: Spatial Navigation Strategy Analysis
Description: A toolkit for the analysis of paths from spatial tracking experiments (such as the Morris water maze) and calculation of goal-finding strategies. This package is centered on an approach using machine learning for path classification.
Author: Rupert Overall [aut, cre] (<https://orcid.org/0000-0002-3882-6073>)
Maintainer: Rupert Overall <rtrack@rupertoverall.net>

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Package RWiener updated to version 1.3-3 with previous version 1.3-2 dated 2020-02-28

Title: Wiener Process Distribution Functions
Description: Provides Wiener process distribution functions, namely the Wiener first passage time density, CDF, quantile and random functions. Additionally supplies a modelling function (wdm) and further methods for the resulting object.
Author: Dominik Wabersich [aut, cre]
Maintainer: Dominik Wabersich <dominik.wabersich@gmail.com>

Diff between RWiener versions 1.3-2 dated 2020-02-28 and 1.3-3 dated 2020-05-04

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Package pagedown updated to version 0.10 with previous version 0.9 dated 2020-03-18

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), RStudio, PBC [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

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Package downloadthis updated to version 0.2.0 with previous version 0.1.3 dated 2020-04-14

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] (<https://orcid.org/0000-0002-4221-6104>)
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

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Package meta updated to version 4.12-0 with previous version 4.11-0 dated 2020-02-20

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package AQLSchemes updated to version 1.7-1 with previous version 1.6-9 dated 2020-04-17

Title: Retrieving Acceptance Sampling Schemes
Description: Functions are included for recalling AQL (Acceptable Quality Level or Acceptance Quality Level) Based single, double, and multiple attribute sampling plans from the Military Standard (MIL-STD-105E) - American National Standards Institute/American Society for Quality (ANSI/ASQ Z1.4) tables and for retrieving variable sampling plans from Military Standard (MIL-STD-414) - American National Standards Institute/American Society for Quality (ANSI/ASQ Z1.9) tables. The sources for these tables are listed in the URL: field. Also included are functions for computing the OC (Operating Characteristic) and ASN (Average Sample Number) coordinates for the attribute plans it recalls, and functions for computing the estimated proportion nonconforming and the maximum allowable proportion nonconforming for variable sampling plans. The MIL-STD AQL Sampling schemes were the most used and copied set of standards in the world. They are intended to be used for sampling a stream of lots, and were used in contract agreements between supplier and customer companies. When the US military dropped support of MIL-STD 105E and 414, The American National Standards Institute (ANSI) and the International Standards Organization (ISO) adopted the standard with few changes or no changes to the central tables. This package is useful because its computer implementation of these tables duplicates that available in other commercial software and subscription online calculators.
Author: John Lawson <lawsonjsl7net@gmail.com>
Maintainer: John Lawson <lawsonjsl7net@gmail.com>

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Package valr updated to version 0.6.0 with previous version 0.5.0 dated 2019-01-03

Title: Genome Interval Arithmetic in R
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.
Author: Jay Hesselberth [aut, cre] (<https://orcid.org/0000-0002-6299-179X>), Kent Riemondy [aut] (<https://orcid.org/0000-0003-0750-1273>), RNA Bioscience Initiative [fnd]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package stream updated to version 1.3-2 with previous version 1.3-1 dated 2019-06-08

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.3-1 dated 2019-06-08 and 1.3-2 dated 2020-05-04

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More information about stream at CRAN
Permanent link

Package sf updated to version 0.9-3 with previous version 0.9-2 dated 2020-04-14

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Kirill Müller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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More information about sf at CRAN
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Package powdR updated to version 1.2.1 with previous version 1.2.0 dated 2020-03-31

Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Author: Benjamin Butler [aut, cre], Stephen Hillier [aut], Dylan Beaudette [ctb], Dennis Eberl [ctb]
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>

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New package GiANT with initial version 1.3
Package: GiANT
Type: Package
Title: Gene Set Uncertainty in Enrichment Analysis
Version: 1.3
Date: 2020-04-29
Author: Florian Schmid, Christoph Muessel, Johann M. Kraus, Hans A. Kestler
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>
Description: Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets (Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>).
License: Artistic-2.0
LazyLoad: yes
Depends: R (>= 3.5.0)
Imports: parallel, graphics, grDevices, methods, stats, utils
Suggests: GlobalAncova, globaltest, fdrtool, st, limma, DESeq
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-04 13:12:04 UTC; julian_schwab
Repository: CRAN
Date/Publication: 2020-05-04 17:20:06 UTC

More information about GiANT at CRAN
Permanent link

Package exuber updated to version 0.4.0 with previous version 0.3.0 dated 2019-07-15

Title: Econometric Analysis of Explosive Time Series
Description: Testing for and dating periods of explosive dynamics (exuberance) in time series using the univariate and panel recursive unit root tests proposed by Phillips et al. (2015) <doi:10.1111/iere.12132> and Pavlidis et al. (2016) <doi:10.1007/s11146-015-9531-2>. The recursive least-squares algorithm utilizes the matrix inversion lemma to avoid matrix inversion which results in significant speed improvements. Simulation of a variety of periodically-collapsing bubble processes.
Author: Kostas Vasilopoulos [cre, aut], Efthymios Pavlidis [aut], Simon Spavound [aut], Enrique Martínez-García [aut]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>

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Package importinegi updated to version 1.1.2 with previous version 1.1.1 dated 2020-03-20

Title: Download and Manage Open Data from INEGI
Description: Download and manage data sets of statistical projects and geographic data created by Instituto Nacional de Estadistica y Geografia (INEGI). See <https://www.inegi.org.mx/>.
Author: Cesar Renteria [aut, cre]
Maintainer: Cesar Renteria <crenteria@albany.edu>

Diff between importinegi versions 1.1.1 dated 2020-03-20 and 1.1.2 dated 2020-05-04

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Permanent link

New package xaringanthemer with initial version 0.3.0
Type: Package
Package: xaringanthemer
Title: Custom 'xaringan' CSS Themes
Version: 0.3.0
Authors@R: person(given = "Garrick", family = "Aden-Buie", role = c("aut", "cre"), email = "garrick@adenbuie.com", comment = c(ORCID = "0000-0002-7111-0077"))
Description: Create beautifully color-coordinated and customized themes for your 'xaringan' slides, without writing any CSS. Complete your slide theme with 'ggplot2' themes that match the font and colors used in your slides. Customized styles can be created directly in your slides' 'R Markdown' source file or in a separate external script.
License: MIT + file LICENSE
URL: https://pkg.garrickadenbuie.com/xaringanthemer, https://github.com/gadenbuie/xaringanthemer
BugReports: https://github.com/gadenbuie/xaringanthemer/issues
Depends: R (>= 2.10)
Imports: colorspace, glue, methods, purrr, utils, whisker
Suggests: callr, ggplot2, knitr, rmarkdown, scales, showtext, sysfonts, testthat (>= 2.1.0), xaringan
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-29 21:39:14 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2020-05-04 15:10:02 UTC

More information about xaringanthemer at CRAN
Permanent link

Package SWMPrExtension updated to version 1.1.4 with previous version 1.1.3 dated 2020-03-02

Title: Functions for Analyzing and Plotting Estuary Monitoring Data
Description: Tools for performing routine analysis and plotting tasks with environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <http://cdmo.baruch.sc.edu/>. This package builds on the functionality of the SWMPr package <https://cran.r-project.org/package=SWMPr>, which is used to retrieve and organize the data. The combined set of tools address common challenges associated with continuous time series data for environmental decision making, and are intended for use in annual reporting activities. References: Beck, Marcus W. (2016) <ISSN 2073-4859><https://journal.r-project.org/archive/2016-1/beck.pdf> Rudis, Bob (2014) <https://rud.is/b/2014/11/16/moving-the-earth-well-alaska-hawaii-with-r/>. United States Environmental Protection Agency (2015) <https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=327030>. United States Environmental Protection Agency (2012) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.646.1973&rep=rep1&type=pdf>.
Author: Julie Padilla [aut, ctb], Marcus Beck [ctb], Kimberly Cressman [ctb], Dave Eslinger [cre, ctb], Bob Rudis [ctb]
Maintainer: Dave Eslinger <dave.eslinger@noaa.gov>

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Package ShinyItemAnalysis updated to version 1.3.3 with previous version 1.3.2 dated 2020-01-28

Title: Test and Item Analysis via Shiny
Description: Interactive shiny application for analysis of educational tests and their items.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb], Jan Netik [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

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Package rdist updated to version 0.0.5 with previous version 0.0.4 dated 2020-02-11

Title: Calculate Pairwise Distances
Description: A common framework for calculating distance matrices.
Author: Nello Blaser [aut, cre]
Maintainer: Nello Blaser <nello.blaser@uib.no>

Diff between rdist versions 0.0.4 dated 2020-02-11 and 0.0.5 dated 2020-05-04

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Permanent link

New package prismadiagramR with initial version 1.0.0
Package: prismadiagramR
Title: Creates a Prisma Diagram using 'DiagrammeR'
Version: 1.0.0
Authors@R: person(given = "Lionel", family = "Duarte", role = c("aut", "cre"), email = "lduarte85718@gmail.com", comment = c(ORCID = "0000-0003-0296-4949"))
Description: Creates 'PRISMA' <http://prisma-statement.org/> diagram from a minimal dataset of included and excluded studies and allows for more custom diagrams. 'PRISMA' diagrams are used to track the identification, screening, eligibility, and inclusion of studies in a systematic review.
License: MIT + file LICENSE
URL: https://github.com/ltrainstg/prismadiagramR
BugReports: https://github.com/ltrainstg/prismadiagramR/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, covr, flextable
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Imports: dplyr, DiagrammeR
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-04-29 21:25:10 UTC; lionel
Author: Lionel Duarte [aut, cre] (<https://orcid.org/0000-0003-0296-4949>)
Maintainer: Lionel Duarte <lduarte85718@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-04 15:10:08 UTC

More information about prismadiagramR at CRAN
Permanent link

Package NHSRdatasets updated to version 0.2.0 with previous version 0.1.2 dated 2019-09-27

Title: NHS and Healthcare-Related Data for Education and Training
Description: Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package currently contains a single simulated hospital dataset for teaching regression methods, with the addition of more datasets planned for future releases. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.
Author: Chris Mainey [aut, cre] (<https://orcid.org/0000-0002-3018-6171>), Tom Jemmett [aut] (<https://orcid.org/0000-0002-6943-2990>), Zoë Turner [aut], NHS-R community [cph]
Maintainer: Chris Mainey <chris.mainey@uhb.nhs.uk>

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Permanent link

Package difNLR updated to version 1.3.3 with previous version 1.3.2 dated 2020-01-28

Title: DIF and DDF Detection by Non-Linear Regression Models
Description: Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova and Martinkova, 2017, doi:10.1111/jedm.12158).
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka@cs.cas.cz>

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More information about difNLR at CRAN
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New package starvars with initial version 0.1.7
Package: starvars
Type: Package
Title: Vector Logistic Smooth Transition Models / Realized Covariances Construction
Version: 0.1.7
Authors@R: c( person("Andrea", "Bucci", email = "andrea.bucci@unich.it", role = c("aut", "cre", "cph")), person("Giulio", "Palomba", role = "aut"), person("Eduardo", "Rossi", role = "aut"), person("Andrea", "Faragalli", role = "ctb") )
Description: Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, <doi:10.1108/S0731-9053(2013)0000031008>). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, <doi:10.1016/S0304-405X(01)00055-1>).
License: GPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MASS, ks, zoo, data.table, methods, matrixcalc, vars, nloptr, maxLik, rlist, stats4, highfrequency, fGarch, R.utils, lubridate, xts, lessR, quantmod
URL: https://github.com/andbucci/starvars
NeedsCompilation: no
Packaged: 2020-04-29 17:36:33 UTC; andre
Author: Andrea Bucci [aut, cre, cph], Giulio Palomba [aut], Eduardo Rossi [aut], Andrea Faragalli [ctb]
Maintainer: Andrea Bucci <andrea.bucci@unich.it>
Repository: CRAN
Date/Publication: 2020-05-04 14:40:02 UTC

More information about starvars at CRAN
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New package rplum with initial version 0.1.4
Package: rplum
Type: Package
Title: Bayesian Age-Depth Modelling of '210Pb'-Dated Cores
Version: 0.1.4
Date: 2020-04-29
Authors@R: c( person("Maarten", "Blaauw", email = "maarten.blaauw@qub.ac.uk", role = c("aut", "cre")), person("J. Andres", "Christen", email = "jac@cimat.mx", role = c("aut", "ctb", "cph")), person("Marco A.", "Aquino-Lopez", email = "Marco.AquinoLopez@mu.ie", role="aut"), person("Judith", "Esquivel-Vazquez", email = "", role = "ctb"), person("Oscar M.", "Gonzalez V.", email = "", role = "ctb"), person("Ted", "Belding", role = "cph"), person("James", "Theiler", role = "cph"), person("Brian", "Gough", role = "cph"), person("Charles", "Karney", role = "cph"))
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for '210Pb'-dated deposits using prior information. It can combine '210Pb', radiocarbon, and other dates in the chronologies. See Aquino 'et' 'al.' (2018) <doi:10.1007/s13253-018-0328-7>. Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors. Subsequent versions of 'rplum' and 'rbacon' are planned to reduce duplication, with 'rplum' importing 'rbacon' instead.
Encoding: UTF-8
License: GPL (>= 2)
NeedsCompilation: yes
Imports: Rcpp (>= 0.12.12), coda (>= 0.19-1), grDevices, graphics, stats, utils
LinkingTo: Rcpp
RoxygenNote: 7.1.0
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino-Lopez [aut], Judith Esquivel-Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Repository: CRAN
Date/Publication: 2020-05-04 14:30:02 UTC
Packaged: 2020-04-29 14:52:52 UTC; maarten

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Package red updated to version 1.5.0 with previous version 1.4.0 dated 2018-05-08

Title: IUCN Redlisting Tools
Description: Includes algorithms to facilitate the assessment of extinction risk of species according to the IUCN (International Union for Conservation of Nature, see <http://www.iucn.org> for more information) red list criteria.
Author: Pedro Cardoso
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between red versions 1.4.0 dated 2018-05-08 and 1.5.0 dated 2020-05-04

 DESCRIPTION            |   16 
 MD5                    |   31 
 NAMESPACE              |    3 
 R/red.R                | 3421 ++++++++++++++++++++++++-------------------------
 man/kml.Rd             |    3 
 man/map.draw.Rd        |   13 
 man/map.easy.Rd        |   22 
 man/map.habitat.Rd     |   10 
 man/map.sdm.Rd         |   18 
 man/raster.distance.Rd |   18 
 man/red.layers.Rd      |    4 
 man/red.range.Rd       |    4 
 man/red.records.Rd     |    4 
 man/rli.Rd             |    8 
 man/rli.multi.Rd       |    4 
 man/rli.predict.Rd     |only
 man/worldborders.Rd    |    4 
 17 files changed, 1854 insertions(+), 1729 deletions(-)

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New package PSweight with initial version 0.1.0
Package: PSweight
Type: Package
Title: Propensity Score Weighting for Causal Inference
Version: 0.1.0
Date: 2020-04-24
Authors@R: c(person("Tianhui","Zhou", role = c("aut", "cre"), email = "tianhui.zhou@duke.edu"), person("Guangyu", "Tong", role = "aut", email = "guangyu.tong@duke.edu"), person("Fan", "Li", role = "aut", email = "fan.f.li@yale.edu"), person("Laine", "Thomas", role = "ctb", email="laine.thomas@duke.edu"), person("Fan", "Li", role = "ctb", email="fl35@duke.edu"))
Maintainer: Tianhui Zhou <tianhui.zhou@duke.edu>
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects among target populations with binary and multiple treatments using the methods developed in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
URL: https://github.com/thuizhou/PSweight
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
Imports: nnet, MASS, ggplot2, numDeriv
NeedsCompilation: no
Packaged: 2020-04-29 20:20:00 UTC; tz
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [ctb], Fan Li [ctb]
Repository: CRAN
Date/Publication: 2020-05-04 14:50:02 UTC

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New package MultiKink with initial version 0.1.0
Package: MultiKink
Type: Package
Version: 0.1.0
Title: Estimation and Inference for Multi-Kink Quantile Regression
Authors@R: c( person("Chuang", "Wan", email = "wanchuang@stu.xmu.edu.cn", role = c("aut", "cre")), person("Wei", "Zhong", email = "wzhong@xmu.edu.cn", role = "aut"))
Description: Estimation and inference for multiple kink quantile regression. A bootstrap restarting iterative segmented quantile algorithm is proposed to estimate the multiple kink quantile regression model conditional on a given number of change points. The number of kinks is also allowed to be unknown. In such case, the backward elimination algorithm and the bootstrap restarting iterative segmented quantile algorithm are combined to select the number of change points based on a quantile BIC. A score-type based test statistic is also developed for testing the existence of kink effect. The package is based on the paper, "Wei Zhong, Chuang Wan and Wenyang Zhang (2020). Estimation and inference for multi-kink quantile regression, submitted".
Imports: quantreg, MASS
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-29 02:11:02 UTC; wanchuang
Author: Chuang Wan [aut, cre], Wei Zhong [aut]
Maintainer: Chuang Wan <wanchuang@stu.xmu.edu.cn>
Repository: CRAN
Date/Publication: 2020-05-04 14:20:02 UTC

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New package ldsr with initial version 0.0.2
Package: ldsr
Type: Package
Title: Linear Dynamical System Reconstruction
Version: 0.0.2
Authors@R: c( person("Hung", "Nguyen", email = "ntthung@gmail.com", role = c("aut", "cre")), person("Stefano", "Galelli", email = "stefano_galelli@sutd.edu.sg", role = "ctb") )
Description: Streamflow (and climate) reconstruction using Linear Dynamical Systems. The advantage of this method is the additional state trajectory which can reveal more information about the catchment or climate system. For details of the method please refer to Nguyen and Galelli (2018) <doi:10.1002/2017WR022114>.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: data.table, foreach, MASS, Rcpp, stats
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/ntthung/ldsr
BugReports: https://github.com/ntthung/ldsr/issues
Suggests: GA, knitr, rmarkdown, testthat, ggplot2, patchwork, doFuture, future
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-29 15:58:48 UTC; The Water Guy
Author: Hung Nguyen [aut, cre], Stefano Galelli [ctb]
Maintainer: Hung Nguyen <ntthung@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-04 14:40:09 UTC

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New package klexdatr with initial version 0.1.0
Package: klexdatr
Title: Kootenay Lake Exploitation Study Data
Version: 0.1.0
Authors@R: c( person("Joe", "Thorley", , "joe@poissonconsulting.ca", c("aut", "cre", "dtc"), comment = c(ORCID = "0000-0002-7683-4592")), person("Greg", "Andrusak", role = c("aut", "dtc")), person("Gary", "Pavan", role = c("aut", "dtc")), person("Sarah", "Stephenson", role = c("aut", "dtc")), person("Matt", "Neufeld", role = c("aut", "dtc")), person("Jeff", "Burrows", role = c("aut", "dtc")), person("Kerry", "Reed", role = c("aut", "dtc")), person("Robyn", "Irvine", role = c("aut", "dtc")), person("Harvey", "Andrusak", role = c("aut", "dtc")), person("James", "Baxter", role = "dtc"), person("Rob", "Bison", role = "dtc"), person("Mike", "Ramsay", role = "dtc"), person("Habitat Conservation Trust Foundation", role = c("cph", "fnd")), person("Fish and Wildlife Compensation Program", role = c("cph", "fnd")), person("Freshwater Fish Society of BC", role = c("cph", "fnd")), person("Ministry of Environment", role = c("cph", "dtc")), person("Bonneville Power Administration", role = c("cph", "fnd")), person("Idaho Department of Fish and Game", role = "cph"), person("Kootenai Tribe of Idaho", role = "cph") )
Description: Six relational 'tibbles' from the Kootenay Lake Large Trout Exploitation study. The study which ran from 2008 to 2014 caught, tagged and released large Rainbow Trout and Bull Trout in Kootenay Lake by boat angling. The fish were tagged with internal acoustic tags and/or high reward external tags and subsequently detected by an acoustic receiver array as well as reported by anglers. The data are analysed by Thorley and Andrusak (1994) <doi:10.7717/peerj.2874> to estimate the natural and fishing mortality of both species.
License: CC BY 4.0
Depends: R (>= 3.3)
Suggests: chk, covr, testthat, tibble
URL: https://github.com/poissonconsulting/klexdatr
BugReports: https://github.com/poissonconsulting/klexdatr/issues
LazyData: true
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-04-29 15:39:54 UTC; joe
Author: Joe Thorley [aut, cre, dtc] (<https://orcid.org/0000-0002-7683-4592>), Greg Andrusak [aut, dtc], Gary Pavan [aut, dtc], Sarah Stephenson [aut, dtc], Matt Neufeld [aut, dtc], Jeff Burrows [aut, dtc], Kerry Reed [aut, dtc], Robyn Irvine [aut, dtc], Harvey Andrusak [aut, dtc], James Baxter [dtc], Rob Bison [dtc], Mike Ramsay [dtc], Habitat Conservation Trust Foundation [cph, fnd], Fish and Wildlife Compensation Program [cph, fnd], Freshwater Fish Society of BC [cph, fnd], Ministry of Environment [cph, dtc], Bonneville Power Administration [cph, fnd], Idaho Department of Fish and Game [cph], Kootenai Tribe of Idaho [cph]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2020-05-04 14:40:12 UTC

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New package CSUV with initial version 0.1.0
Package: CSUV
Type: Package
Title: Combined Selection and Uncertainty Visualiser (CSUV)
Version: 0.1.0
Author: Christine Yuen
Maintainer: Christine Yuen <yuenl@lse.ac.uk>
BugReports: https://github.com/christineyuen/CSUV/issues
Imports: doParallel, relaxo, caret, futile.logger, glmnet, ncvreg, shiny, shinyjs, DT, stats, MASS, datasets, grDevices, utils, graphics, HDCI, parcor, reshape2, ggplot2
Description: Implementation of CSUV from C. Yuen and P. Fryzlewicz (2020) <arXiv:2003.02791> "Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization". CSUV aims to perform variable selection and illustrate variable selection uncertainties by combining variable selection results from various methods.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-29 09:22:51 UTC; loktingyuen
Repository: CRAN
Date/Publication: 2020-05-04 14:10:02 UTC

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New package ata with initial version 1.1.0
Package: ata
Title: Automated Test Assembly
Version: 1.1.0
Date: 2020-04-13
Authors@R: c( person(given = "Gulsah", family = "Gurkan", role = c("aut"), email = "gurkangulsah@gmail.com"), person(given = "Michael", family = "Chajewski", role = c("aut","cre"), email = "mchajewski@hotmail.com"), person(given = "Sam", family = "Buttrey", role = c("cph"), email = "buttrey@nps.edu"))
Author: Gulsah Gurkan [aut], Michael Chajewski [aut, cre], Sam Buttrey [cph]
Maintainer: Michael Chajewski <mchajewski@hotmail.com>
Description: Provides a collection of psychometric methods to process item metadata and use target assessment and measurement blueprint constraints to assemble a test form. Currently two automatic test assembly (ata) approaches are enabled. For example, the weighted (positive) deviations method, wdm(), proposed by Swanson and Stocking (1993) <doi:10.1177/014662169301700205> was implemented in its full specification allowing for both item selection as well as test form refinement. The linear constraint programming approach, atalp(), uses the linear equation solver by Berkelaar et. al (2014) <http://lpsolve.sourceforge.net/5.5/> to enable a variety of approaches to select items.
Depends: R (>= 3.0.0), lpSolve
Imports: stats
License: LGPL-2
Copyright: file COPYRIGHTS
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-29 14:54:57 UTC; MChajewski
Repository: CRAN
Date/Publication: 2020-05-04 14:30:06 UTC

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New package ShiftConvolvePoibin with initial version 1.0.0
Package: ShiftConvolvePoibin
Type: Package
Title: Exactly Computing the Tail of the Poisson-Binomial Distribution
Version: 1.0.0
Authors@R: c( person("Andrew", "Lee", role = c("aut", "cre"), email = "andrewl@maths.usyd.edu.au"), person("Noah", "Peres", role = c("aut", "ctb"), email = "noahp@maths.usyd.edu.au"), person("Uri", "Keich", role = c("aut", "ctb"), email = "uri.keich@sydney.edu.au"), person("Alexander", "Mukhin", role = c("cph"), email = "alexander.i.mukhin@gmail.com"))
Author: Andrew Lee [aut, cre], Noah Peres [aut, ctb], Uri Keich [aut, ctb], Alexander Mukhin [cph]
Maintainer: Andrew Lee <andrewl@maths.usyd.edu.au>
Description: An exact method for computing the Poisson-Binomial Distribution (PBD). The package provides a function for generating a random sample from the PBD, as well as two distinct approaches for computing the density, distribution, and quantile functions of the PBD. The first method uses direct-convolution, or a dynamic-programming approach which is numerically stable but can be slow for a large input due to its quadratic complexity. The second method is much faster on large inputs thanks to its use of Fast Fourier Transform (FFT) based convolutions. Notably in this case the package uses an exponential shift to practically guarantee the relative accuracy of the computation of an arbitrarily small tail of the PBD -- something that FFT-based methods often struggle with. This ShiftConvolvePoiBin method is described in Peres, Lee and Keich (2020) <arXiv:2004.07429> where it is also shown to be competitive with the fastest implementations for exactly computing the entire Poisson-Binomial distribution.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-04-29 05:45:33 UTC; andrewlee
Repository: CRAN
Date/Publication: 2020-05-04 14:00:02 UTC

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Package SDLfilter updated to version 2.0.0 with previous version 1.2.1 dated 2019-02-26

Title: Filtering and Assessing Sample Size of Tracking Data
Description: Functions to filter GPS and/or Argos locations, as well as assessing sample sizes for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample sizes for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (in prep).
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>

Diff between SDLfilter versions 1.2.1 dated 2019-02-26 and 2.0.0 dated 2020-05-04

 SDLfilter-1.2.1/SDLfilter/R/ddfilter.loop.r               |only
 SDLfilter-1.2.1/SDLfilter/R/ddfilter.r                    |only
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 SDLfilter-2.0.0/SDLfilter/DESCRIPTION                     |   24 +--
 SDLfilter-2.0.0/SDLfilter/MD5                             |  104 ++++++++------
 SDLfilter-2.0.0/SDLfilter/NAMESPACE                       |   46 ++++--
 SDLfilter-2.0.0/SDLfilter/NEWS                            |   20 ++
 SDLfilter-2.0.0/SDLfilter/NEWS.md                         |   27 ++-
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 SDLfilter-2.0.0/SDLfilter/R/percent_vol.R                 |only
 SDLfilter-2.0.0/SDLfilter/R/tidalplane.R                  |   30 ++--
 SDLfilter-2.0.0/SDLfilter/R/tidedata.R                    |   20 +-
 SDLfilter-2.0.0/SDLfilter/R/track_param.R                 |only
 SDLfilter-2.0.0/SDLfilter/R/turtle.R                      |   14 -
 SDLfilter-2.0.0/SDLfilter/R/turtle2.R                     |   14 -
 SDLfilter-2.0.0/SDLfilter/R/vmax.R                        |only
 SDLfilter-2.0.0/SDLfilter/R/vmaxlp.R                      |only
 SDLfilter-2.0.0/SDLfilter/README.md                       |   99 ++++++++++---
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 SDLfilter-2.0.0/SDLfilter/man/SandyStrait.Rd              |    4 
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 SDLfilter-2.0.0/SDLfilter/man/curtis.Rd                   |only
 SDLfilter-2.0.0/SDLfilter/man/ddfilter.Rd                 |   74 +++++----
 SDLfilter-2.0.0/SDLfilter/man/ddfilter_loop.Rd            |only
 SDLfilter-2.0.0/SDLfilter/man/ddfilter_speed.Rd           |only
 SDLfilter-2.0.0/SDLfilter/man/depthfilter.Rd              |   95 +++++++-----
 SDLfilter-2.0.0/SDLfilter/man/distfilter.Rd               |only
 SDLfilter-2.0.0/SDLfilter/man/dupfilter.Rd                |   42 ++---
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 SDLfilter-2.0.0/SDLfilter/man/tidedata.Rd                 |   12 -
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 SDLfilter-2.0.0/SDLfilter/man/turtle.Rd                   |   20 +-
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 85 files changed, 439 insertions(+), 274 deletions(-)

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New package minidown with initial version 0.0.1
Package: minidown
Type: Package
Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Version: 0.0.1
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Authors@R: c( person(given = "Atsushi", family = "Yasumoto", role = c("aut", "cph", "cre"), email = "atusy.rpkg@gmail.com", comment = c(ORCID = "0000-0002-8335-495X")), person(given = "Angelos", family = "Chalaris", role = "aut", comment = "mini.css"), person(given = "Mitesh", family = "Shah", role = "aut", comment = "sakura"), person(given = "Kognise", family = "", role = "aut", comment = "Water.css") )
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'mini.css'. Powerful features include floating table of contents as a sidebar, code folding of source, output, message, warning, and error, and accordion menus. They work without JavaScript.
URL: https://minidown.atusy.net, https://github.com/atusy/minidown
BugReports: https://github.com/atusy/minidown/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.0.2
Imports: rmarkdown, htmltools
Suggests: testthat (>= 2.1.0)
SystemRequirements: pandoc (>= 2.7.2) - http://pandoc.org
NeedsCompilation: no
Packaged: 2020-04-29 01:11:56 UTC; rstudio
Repository: CRAN
Date/Publication: 2020-05-04 13:50:02 UTC

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New package GWpcor with initial version 0.1.2
Package: GWpcor
Type: Package
Title: Geographically Weighted Partial Correlation Coefficient
Version: 0.1.2
Authors@R: c(person(given = "Narumasa", family = "Tsutsumida", role = c("aut", "cre"), email = "rsnaru.jp@gmail.com", comment = c(ORCID = "0000-0002-6333-0301")), person(given = "Joseph", family = "Percival", role = c("aut"), email = "ipercival@gmail.com"))
Description: Implements a geographically weighted partial correlation which is an extension from gwss() function in the 'GWmodel' package (Percival and Tsutsumida (2017) <doi:10.1553/giscience2017_01_s36>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 3.5.0)
Imports: methods, dplyr, sp, sf, GWmodel, corpcor, foreach, parallel, doParallel
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
NeedsCompilation: no
Packaged: 2020-04-29 04:42:26 UTC; nt
Author: Narumasa Tsutsumida [aut, cre] (<https://orcid.org/0000-0002-6333-0301>), Joseph Percival [aut]
Maintainer: Narumasa Tsutsumida <rsnaru.jp@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-04 14:00:04 UTC

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New package gdiff with initial version 0.2-1
Package: gdiff
Type: Package
Title: Graphical Difference Testing
Version: 0.2-1
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Functions for performing graphical difference testing. Differences are generated between raster images. Comparisons can be performed between different package versions and between different R versions.
Imports: grDevices, utils, parallel, magick, pdftools
Suggests: gridBezier, grImport, metapost, ssh, stevedore
URL: https://github.com/pmur002/, https://stattech.wordpress.fos.auckland.ac.nz/2020/01/06/2020-01-visual-testing-for-graphics-in-r/
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-04-28 23:46:28 UTC; pmur002
Repository: CRAN
Date/Publication: 2020-05-04 13:50:05 UTC

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New package fstcore with initial version 0.9.4
Package: fstcore
Type: Package
Title: R Bindings to the 'Fstlib' Library
Description: The 'fstlib' library provides multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for random access of stored data and compression with the 'LZ4' and 'ZSTD' compressors.
Version: 0.9.4
Date: 2020-04-28
Authors@R: c(person(given = "Mark", family = "Klik", role = c("aut", "cre", "cph"), email = "markklik@gmail.com"), person(given = "Yuta", family = "Mori", role = c("ctb", "cph"), comment = "Yuta Mori is author and copyright holder of the bundled 'libdivsufsort-lite' code, part of 'ZSTD'"), person(given = "Przemyslaw", family = "Skibinski", role = c("ctb", "cph"), comment = "Przemyslaw Skibinski is author and copyright holder of the bundled price functions, part of 'ZSTD'"), person(given = "Tino", family = "Reichardt", role = c("ctb", "cph"), comment = "Tino Reichardt is author and copyright holder of bundled sources from the 'zstdmt' library, part of 'ZSTD'"), person(given = "Yann", family = "Collet", role = c("ctb", "cph"), comment = "Yann Collet is author of the bundled 'LZ4' and 'ZSTD' code and copyright holder of 'LZ4'"), person(given = "Facebook, Inc.", role = "cph", comment = "Bundled 'ZSTD' code"))
LazyData: true
Depends: R (>= 3.0.0)
Imports: Rcpp
LinkingTo: Rcpp
SystemRequirements: little-endian platform
RoxygenNote: 7.1.0
Suggests: testthat, lintr
License: AGPL-3
Encoding: UTF-8
Copyright: This package includes sources from the LZ4 library owned by Yann Collet, sources of the ZSTD library owned by Facebook, Inc., sources of the libdivsufsort-lite library owned by Yuta Mori and sources of the fstlib library owned by Mark Klik
URL: https://fstpackage.github.io/fstcore
BugReports: https://github.com/fstpackage/fst/issues
NeedsCompilation: yes
Packaged: 2020-04-28 22:08:04 UTC; Mark
Author: Mark Klik [aut, cre, cph], Yuta Mori [ctb, cph] (Yuta Mori is author and copyright holder of the bundled 'libdivsufsort-lite' code, part of 'ZSTD'), Przemyslaw Skibinski [ctb, cph] (Przemyslaw Skibinski is author and copyright holder of the bundled price functions, part of 'ZSTD'), Tino Reichardt [ctb, cph] (Tino Reichardt is author and copyright holder of bundled sources from the 'zstdmt' library, part of 'ZSTD'), Yann Collet [ctb, cph] (Yann Collet is author of the bundled 'LZ4' and 'ZSTD' code and copyright holder of 'LZ4'), Facebook, Inc. [cph] (Bundled 'ZSTD' code)
Maintainer: Mark Klik <markklik@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-04 13:40:02 UTC

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New package BANOVA with initial version 1.1.7
Package: BANOVA
Type: Package
Title: Hierarchical Bayesian ANOVA Models
Version: 1.1.7
Date: 2020-04-10
Author: Chen Dong, Michel Wedel
SystemRequirements: JAGS-4.3.0, C++11
Maintainer: Chen Dong <cdong@math.umd.edu>
Depends: R (>= 3.5.0)
Imports: rjags(>= 3-13), runjags (>= 1.2.1-0), coda (>= 0.16-1), rstan(>= 2.15.1), methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral and social sciences. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial (Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses 'Stan' and 'JAGS' as the computational platform.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2020-05-03 01:40:51 UTC; CDONG
Repository: CRAN
Date/Publication: 2020-05-04 14:00:07 UTC

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Package lsa updated to version 0.73.2 with previous version 0.73.1 dated 2015-05-08

Title: Latent Semantic Analysis
Description: The basic idea of latent semantic analysis (LSA) is, that text do have a higher order (=latent semantic) structure which, however, is obscured by word usage (e.g. through the use of synonyms or polysemy). By using conceptual indices that are derived statistically via a truncated singular value decomposition (a two-mode factor analysis) over a given document-term matrix, this variability problem can be overcome.
Author: Fridolin Wild
Maintainer: Fridolin Wild <wild@brookes.ac.uk>

Diff between lsa versions 0.73.1 dated 2015-05-08 and 0.73.2 dated 2020-05-04

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Package TSA (with last version 1.2.1) was removed from CRAN

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

2020-05-03 1.2.1
2018-06-30 1.2
2012-11-13 1.01
2012-10-31 1.0
2012-09-12 0.99

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Package unmarked updated to version 1.0.0 with previous version 0.13-2 dated 2020-03-04

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
Author: Richard Chandler [aut], Ken Kellner [aut], Ian Fiske [aut], David Miller [aut], Andy Royle [cre, aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], Ariel Muldoon [ctb], Chris Baker [ctb]
Maintainer: Andy Royle <aroyle@usgs.gov>

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Package RCzechia updated to version 1.5.0 with previous version 1.4.6 dated 2020-04-11

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package jstable updated to version 0.9.4 with previous version 0.9.3 dated 2020-04-10

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package formulaic updated to version 0.0.7 with previous version 0.0.6 dated 2020-01-19

Title: Dynamic Generation and Quality Checks of Formula Objects
Description: Many statistical models and analyses in R are implemented through formula objects. The formulaic package creates a unified approach for programmatically and dynamically generating formula objects. Users may specify the outcome and inputs of a model directly, search for variables to include based upon naming patterns, incorporate interactions, and identify variables to exclude. A wide range of quality checks are implemented to identify issues such as misspecified variables, duplication, a lack of contrast in the inputs, and a large number of levels in categorical data. Variables that do not meet these quality checks can be automatically excluded from the model. These issues are documented and reported in a manner that provides greater accountability and useful information to guide an investigation of the data.
Author: David Shilane [aut], Caffrey Lee [aut, ctb], Zichen Huang [aut, ctb], Anderson Nelson [aut, ctb, cre]
Maintainer: Anderson Nelson <an2908@columbia.edu>

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New package dm with initial version 0.1.2
Package: dm
Title: Relational Data Models
Version: 0.1.2
Date: 2020-05-03
Authors@R: c(person(given = "Tobias", family = "Schieferdecker", role = "aut", email = "tobias@cynkra.com"), person(given = "Kirill", family = "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org", comment = c(ORCID = "0000-0002-1416-3412")), person(given = "Darko", family = "Bergant", role = "aut", email = "darko.bergant@gmail.com"), person(given = "Katharina", family = "Brunner", role = "ctb"), person(given = "energie360° AG", role = "fnd", email = "info@energie360.ch"), person(given = "cynkra GmbH", role = c("fnd", "cph"), email = "mail@cynkra.com"))
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
License: MIT + file LICENSE
Depends: R (>= 3.3)
Imports: backports, cli (>= 2.0.0), DBI, dplyr, ellipsis, glue, igraph, lifecycle, magrittr, memoise, methods, pillar, purrr, rlang (>= 0.4.0), tibble, tidyr (>= 1.0.0), tidyselect (>= 1.0.0), vctrs (>= 0.2.0)
Suggests: brio, crayon, DiagrammeR, DiagrammeRsvg, dbplyr, digest, fansi, keyring, knitr, nycflights13, odbc, rmarkdown, RMariaDB, RPostgres, rprojroot, RSQLite, testthat (>= 2.1.0), tidyverse, withr
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-04 09:54:50 UTC; kirill
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2020-05-04 11:20:02 UTC

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Package tidyqwi updated to version 0.1.2 with previous version 0.1.1 dated 2019-06-19

Title: A Convenient API for Accessing United States Census Bureau's Quarterly Workforce Indicator
Description: The purpose of this package is to access the United States Census Bureau's Quarterly Workforce Indicator data. Additionally, the data will be retrieved in a tidy format for further manipulation with full variable descriptions added if desired. Information about the United States Census Bureau's Quarterly Workforce Indicator is available at <https://www.census.gov/data/developers/data-sets/qwi.html>.
Author: Michael DeWitt [aut, cre] (<https://orcid.org/0000-0001-8940-1967>), Mona Ahmadiani [aut] (<https://orcid.org/0000-0002-1269-5685>), Adam S. Hyde [aut] (<https://orcid.org/0000-0003-1205-0032>)
Maintainer: Michael DeWitt <me.dewitt.jr@gmail.com>

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Package RNewsflow updated to version 1.2.4 with previous version 1.2.3 dated 2020-02-17

Title: Tools for Comparing Text Messages Across Time and Media
Description: A collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package fastNaiveBayes updated to version 2.2.1 with previous version 2.2.0 dated 2020-02-23

Title: Extremely Fast Implementation of a Naive Bayes Classifier
Description: This is an extremely fast implementation of a Naive Bayes classifier. This package is currently the only package that supports a Bernoulli distribution, a Multinomial distribution, and a Gaussian distribution, making it suitable for both binary features, frequency counts, and numerical features. Another feature is the support of a mix of different event models. Only numerical variables are allowed, however, categorical variables can be transformed into dummies and used with the Bernoulli distribution. The implementation is largely based on the paper "A comparison of event models for Naive Bayes anti-spam e-mail filtering" written by K.M. Schneider (2003) <doi:10.3115/1067807.1067848>. Any issues can be submitted to: <https://github.com/mskogholt/fastNaiveBayes/issues>.
Author: Martin Skogholt
Maintainer: Martin Skogholt <m.skogholt@gmail.com>

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Package openVA updated to version 1.0.11 with previous version 1.0.10 dated 2020-04-19

Title: Automated Method for Verbal Autopsy
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. The 'NBC' method is implemented by the 'nbc4va' package that can be installed from <https://github.com/rrwen/nbc4va>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist in the implementation of the 'Tariff' method.
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Diff between openVA versions 1.0.10 dated 2020-04-19 and 1.0.11 dated 2020-05-04

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Package CGE updated to version 0.3.2 with previous version 0.3.1 dated 2020-03-25

Title: Computing General Equilibrium
Description: Developing general equilibrium models, computing general equilibrium and simulating economic dynamics with structural dynamic models in LI (2019, ISBN: 9787521804225) "General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press".
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

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Package textdata updated to version 0.4.1 with previous version 0.4.0 dated 2020-03-06

Title: Download and Load Various Text Datasets
Description: Provides a framework to download, parse, and store text datasets on the disk and load them when needed. Includes various sentiment lexicons and labeled text data sets for classification and analysis.
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>), Julia Silge [ctb] (<https://orcid.org/0000-0002-3671-836X>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package RNetCDF updated to version 2.3-1 with previous version 2.1-1 dated 2019-10-20

Title: Interface to 'NetCDF' Datasets
Description: An interface to the 'NetCDF' file formats designed by Unidata for efficient storage of array-oriented scientific data and descriptions. Most capabilities of 'NetCDF' version 4 are supported. Optional conversions of time units are enabled by 'UDUNITS' version 2, also from Unidata.
Author: Pavel Michna [aut], Milton Woods [aut, cre]
Maintainer: Milton Woods <miltonjwoods@gmail.com>

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Package rmcorr updated to version 0.3.1 with previous version 0.3.0 dated 2018-02-28

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets.
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <laura.m.cooper20.civ@mail.mil>

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Package Rdimtools updated to version 1.0.2 with previous version 1.0.1 dated 2020-04-22

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>), Changhee Suh [ctb]
Maintainer: Kisung You <kyoustat@gmail.com>

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More information about Rdimtools at CRAN
Permanent link

Package PoisNonNor updated to version 1.6.2 with previous version 1.6.1 dated 2019-05-15

Title: Simultaneous Generation of Count and Continuous Data
Description: Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.
Author: Hakan Demirtas, Yaru Shi, Rawan Allozi, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

Diff between PoisNonNor versions 1.6.1 dated 2019-05-15 and 1.6.2 dated 2020-05-04

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Permanent link

New package nVennR with initial version 0.2.2
Package: nVennR
Type: Package
Title: Create n-Dimensional, Quasi-Proportional Venn Diagrams
Version: 0.2.2
Authors@R: person("Victor", "Quesada", email = "quesadavictor@uniovi.es", role=c("aut", "cre", "cph"))
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>
Description: Provides an interface for the "nVenn"" algorithm. This algorithm works for any number of sets, and usually yields pleasing and informative Venn diagrams with proportionality information. However, representing more than six sets takes a long time and is hard to interpret, unless many of the regions are empty. If you cannot make sense of the result, you may want to consider 'UpSetR'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
LinkingTo: Rcpp
Imports: Rcpp
Suggests: knitr, rmarkdown, rsvg, grImport2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-05-03 11:23:54 UTC; vqf
Repository: CRAN
Date/Publication: 2020-05-04 08:50:05 UTC

More information about nVennR at CRAN
Permanent link

Package graph4lg updated to version 0.5.0 with previous version 0.3.0 dated 2020-03-19

Title: Build Graphs for Landscape Genetics Analysis
Description: Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://bit.ly/35a3V3H>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.
Author: Paul Savary
Maintainer: Paul Savary <savarypaul660@gmail.com>

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Package ggpubr updated to version 0.3.0 with previous version 0.2.5 dated 2020-02-13

Title: 'ggplot2' Based Publication Ready Plots
Description: The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

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Package covid19us updated to version 0.1.4 with previous version 0.1.3 dated 2020-04-29

Title: Cases of COVID-19 in the United States
Description: A wrapper around the 'COVID Tracking Project API' <https://covidtracking.com/api/> providing data on cases of COVID-19 in the US.
Author: Amanda Dobbyn [aut, cre]
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>

Diff between covid19us versions 0.1.3 dated 2020-04-29 and 0.1.4 dated 2020-05-04

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New package CensSpatial with initial version 2.58
Package: CensSpatial
Type: Package
Title: Censored Spatial Models
Version: 2.58
Depends: R (>= 3.6.0)
Date: 2020-05-03
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>
Imports: geoR, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych, numDeriv (>= 2.11.1),raster,moments,lattice, tlrmvnmvt (>= 1.1.0)
Description: It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model. More details can be found in Ordonez et al. (2018) <doi:10.1016/j.spasta.2017.12.001>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-05-03 04:46:40 UTC; alejo
Repository: CRAN
Date/Publication: 2020-05-04 08:50:08 UTC

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Package mda updated to version 0.5 with previous version 0.4-10 dated 2017-11-02

Title: Mixture and Flexible Discriminant Analysis
Description: Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines. Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.
Author: S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley. Balasubramanian Narasimhan has contributed to the upgrading of the code.
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package textrecipes updated to version 0.2.1 with previous version 0.2.0 dated 2020-04-14

Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically created procedures, which are implemented as steps according to the 'recipes' package. These steps allows for tokenization, filtering, counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package srvyr updated to version 0.3.9 with previous version 0.3.8 dated 2020-03-07

Title: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description: Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Author: Greg Freedman Ellis [aut, cre], Thomas Lumley [ctb], Tomasz Żółtak [ctb], Ben Schneider [ctb]
Maintainer: Greg Freedman Ellis <greg.freedman@gmail.com>

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Package Sim.DiffProc updated to version 4.6 with previous version 4.5 dated 2020-03-29

Title: Simulation of Diffusion Processes
Description: It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDE's. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.
Author: Arsalane Chouaib Guidoum [cre, aut], Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@usthb.dz>

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Package officer updated to version 0.3.9 with previous version 0.3.8 dated 2020-03-13

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Anton Victorson [ctb] (fixes xml structures), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (fuction annotate_base), John Muschelli [ctb] (google doc compatibility)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package gss updated to version 2.2-0 with previous version 2.1-11 dated 2020-02-29

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu <chong@purdue.edu>
Maintainer: Chong Gu <chong@purdue.edu>

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Package BisqueRNA updated to version 1.0.3 with previous version 1.0.2 dated 2020-03-19

Title: Decomposition of Bulk Expression with Single-Cell Sequencing
Description: Provides tools to accurately estimate cell type abundances from heterogeneous bulk expression. A reference-based method utilizes single-cell information to generate a signature matrix and transformation of bulk expression for accurate regression based estimates. A marker-based method utilizes known cell-specific marker genes to measure relative abundances across samples. For more details, see Jew and Alvarez et al (2019) <doi:10.1101/669911>.
Author: Brandon Jew [aut, cre], Marcus Alvarez [aut]
Maintainer: Brandon Jew <brandon.jew@ucla.edu>

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Package barsurf updated to version 0.5.0 with previous version 0.4.0 dated 2020-02-13

Title: Heatmap-Related Plots and Smooth Multiband Color Interpolation
Description: Supports combined contour-heat plots and 3D bar/surface plots, for plotting scalar fields, either discretely-spaced or continuously-spaced. Also, supports matrix visualization (per se), isosurfaces (for scalar fields over three variables), triangular plots and vector fields. All plots use static vector graphics (suitable for Sweave documents), but high resolution heatmaps can produce smooth raster-like visual effects. Contains a flexible system for smooth multiband color interpolation in RGB, HSV and HCL color spaces.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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More information about barsurf at CRAN
Permanent link

Package DescriptiveStats.OBeu updated to version 1.3.2 with previous version 1.3.1 dated 2019-01-20

Title: Descriptive Statistics 'OpenBudgets.eu'
Description: Estimate and return the needed parameters for visualizations designed for 'OpenBudgets.eu' <http://openbudgets.eu/> datasets. Calculate descriptive statistical measures in budget data of municipalities across Europe, according to the 'OpenBudgets.eu' data model. There are functions for measuring central tendency and dispersion of amount variables along with their distributions and correlations and the frequencies of categorical variables for a given dataset. Also, can be used generally to other datasets, to extract visualization parameters, convert them to 'JSON' format and use them as input in a different graphical interface.
Author: Kleanthis Koupidis [aut, cre], Aikaterini Chatzopoulou [aut], Charalampos Bratsas [aut]
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>

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More information about DescriptiveStats.OBeu at CRAN
Permanent link


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