Fri, 04 Dec 2020

New package wbstats with initial version 1.0.4
Type: Package
Package: wbstats
Title: Programmatic Access to Data and Statistics from the World Bank API
Version: 1.0.4
Authors@R: c(person(given = "Jesse", family = "Piburn", role = c("aut", "cre"), email = "piburnjo@ornl.gov", comment = c(ORCID = "0000-0003-4967-7912")), person(given = "UT-Battelle, LLC", role = "cph"))
Maintainer: Jesse Piburn <piburnjo@ornl.gov>
Description: Search and download data from the World Bank Data API.
License: MIT + file LICENSE
URL: https://github.com/nset-ornl/wbstats
BugReports: https://github.com/nset-ornl/wbstats/issues
Depends: R (>= 3.2)
Imports: dplyr, httr, jsonlite, lifecycle, lubridate, readr, rlang, stringr, tibble, tidyr, magrittr
Suggests: ggplot2, knitr, markdown, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.0.1
NeedsCompilation: no
Packaged: 2020-12-04 16:55:08 UTC; pij
Author: Jesse Piburn [aut, cre] (<https://orcid.org/0000-0003-4967-7912>), UT-Battelle, LLC [cph]
Repository: CRAN
Date/Publication: 2020-12-05 01:10:03 UTC

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Package loo updated to version 2.4.0 with previous version 2.3.1 dated 2020-07-14

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Jonah Gabry [cre, aut], Mans Magnusson [aut], Yuling Yao [aut], Paul-Christian Bürkner [aut], Topi Paananen [aut], Andrew Gelman [aut], Ben Goodrich [ctb], Juho Piironen [ctb], Bruno Nicenboim [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package pdynmc updated to version 0.9.3 with previous version 0.9.2 dated 2020-09-16

Title: Moment Condition Based Estimation of Linear Dynamic Panel Data Models
Description: Linear dynamic panel data modeling based on linear and nonlinear moment conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988) <doi:10.2307/1913103>, Ahn and Schmidt (1995) <doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995) <doi:10.1016/0304-4076(94)01642-D>. Estimation of the model parameters relies on numerical optimization and the computation of closed form solutions. For inference and specification testing, Windmeijer (2005) <doi:10.1016/j.jeconom.2004.02.005> corrected standard errors, serial correlation tests, tests for overidentification, and Wald tests are available.
Author: Markus Fritsch [aut, cre], Joachim Schnurbus [aut], Andrew Adrian Yu Pua [aut]
Maintainer: Markus Fritsch <Markus.Fritsch@uni-Passau.de>

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Package mlr3proba updated to version 0.2.6 with previous version 0.2.5 dated 2020-11-18

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised learning for 'mlr3'. This includes extending the regression task to probabilistic and interval regression, adding a survival task, and other specialized models, predictions, and measures. mlr3extralearners is available from <https://github.com/mlr-org/mlr3extralearners>.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Nurul Ain Toha [ctb], Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package healthyR updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-03

Title: Hospital Data Analysis Workflow Tools
Description: Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package chess updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-25

Title: Read, Write, Create and Explore Chess Games
Description: This is an opinionated wrapper around the python-chess package. It allows users to read and write PGN files as well as create and explore game trees such as the ones seen in chess books.
Author: C. Lente [aut, cre]
Maintainer: C. Lente <clente@curso-r.com>

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Package SemNeT updated to version 1.4.1 with previous version 1.4.0 dated 2020-09-26

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Yoed N. Kenett [aut, ctb] (<https://orcid.org/0000-0003-3872-7689>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package SemNetCleaner updated to version 1.3.1 with previous version 1.3.0 dated 2020-09-24

Title: An Automated Cleaning Tool for Semantic and Linguistic Data
Description: Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package rtiff updated to version 1.4.8 with previous version 1.4.7 dated 2019-11-25

Title: Read and Write TIFF Files
Description: Reads and writes TIFF format images and returns them as a pixmap object. Because the resulting object can be very large for even modestly sized TIFF images, images can be reduced as they are read for improved performance. This package is a wrapper around libtiff (www.libtiff.org), on which it depends (i.e. the libtiff shared library must be on your PATH for the binary to work, and tiffio.h must be on your system to build the package from source). By using libtiff's highlevel TIFFReadRGBAImage function, this package inherently supports a wide range of image formats and compression schemes. This package also provides an implementation of the Ridler Autothresholding algorithm for easy generation of binary masks as described in Ridler & Calvard (1978) <doi:10.1109/TSMC.1978.4310039>.
Author: Eric Kort <eric.kort@vai.org>
Maintainer: Eric Kort <eric.kort@vai.org>

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Package revulyticsR updated to version 0.0.3 with previous version 0.0.2 dated 2020-08-25

Title: Connect to Your 'Revulytics' Data
Description: Facilitates making a connection to the 'Revulytics' API and executing various queries. You can use it to get event data and metadata. The Revulytics documentation is available at <https://docs.revenera.com/ui560/report/>. This package is not supported by 'Flexera' (owner of the software).
Author: Chris Umphlett [aut, cre], Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

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Package ggvis updated to version 0.4.7 with previous version 0.4.6 dated 2020-10-01

Title: Interactive Grammar of Graphics
Description: An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'.
Author: Winston Chang [aut, cre], Hadley Wickham [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt), Mike Bostock [ctb, cph] (D3 library), D3 contributors [ctb] (D3 library; authors listed at https://github.com/d3/d3/graphs/contributors), Trifacta Inc. [cph] (Vega library), Vega contributors [ctb] (Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors), Sebastián Décima [ctb, cph] (javascript-detect-element-resize library)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between ggvis versions 0.4.6 dated 2020-10-01 and 0.4.7 dated 2020-12-04

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Permanent link

Package compareGroups updated to version 4.4.6 with previous version 4.4.5 dated 2020-09-01

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] (<https://orcid.org/0000-0003-1676-0197>), Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

Diff between compareGroups versions 4.4.5 dated 2020-09-01 and 4.4.6 dated 2020-12-04

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Permanent link

Package Clustering updated to version 1.7.1 with previous version 1.7 dated 2020-10-25

Title: Execution of Multiple Clustering Algorithm
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>

Diff between Clustering versions 1.7 dated 2020-10-25 and 1.7.1 dated 2020-12-04

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Package SemNetDictionaries updated to version 0.1.8 with previous version 0.1.7 dated 2020-09-26

Title: Dictionaries for the 'SemNetCleaner' Package
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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Package RcmdrPlugin.TeachStat updated to version 1.1.0 with previous version 1.0.10 dated 2018-12-21

Title: R Commander Plugin for Teaching Statistical Methods
Description: R Commander plugin for teaching statistical methods. It adds a new menu for making easier the teaching of the main concepts about the main statistical methods.
Author: Tom<e1>s R. Cotos Ya<f1>ez [aut] (<https://orcid.org/0000-0002-7732-6565>), Manuel A. Mosquera Rodr<ed>guez [aut, cre] (<https://orcid.org/0000-0002-4769-6119>), Ana P<e9>rez Gonz<e1>lez [aut] (<https://orcid.org/0000-0003-4706-7125>), Benigno Reguengo Lareo [aut]
Maintainer: Manuel A. Mosquera Rodr<ed>guez <mamrguez@uvigo.es>

Diff between RcmdrPlugin.TeachStat versions 1.0.10 dated 2018-12-21 and 1.1.0 dated 2020-12-04

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Package openSkies updated to version 0.99.8 with previous version 0.99.7 dated 2020-12-01

Title: An R Client-Side Interface to the 'OpenSky' API
Description: Provides a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows retrieval of flight information, as well as aircraft state vectors.
Author: Rafael Ayala, Daniel Ayala, Aleix Sellés, Lara Sellés Vidal
Maintainer: Rafael Ayala <r.ayala14@imperial.ac.uk>

Diff between openSkies versions 0.99.7 dated 2020-12-01 and 0.99.8 dated 2020-12-04

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Package magicaxis updated to version 2.2.1 with previous version 2.0.10 dated 2019-07-05

Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>

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Package BART updated to version 2.8 with previous version 2.7 dated 2019-12-05

Title: Bayesian Additive Regression Trees
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Author: Robert McCulloch [aut], Rodney Sparapani [aut, cre], Charles Spanbauer [aut], Robert Gramacy [aut], Matthew Pratola [aut], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>

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Package refund updated to version 0.1-23 with previous version 0.1-22 dated 2020-09-03

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. Reiss [aut], Yakuan Chen [ctb], Sonja Greven [ctb], Lan Huo [ctb], Madan Gopal Kundu [ctb], So Young Park [ctb], David L. Miller [ctb], Ana-Maria Staicu [ctb]
Maintainer: Julia Wrobel <julia.wrobel@cuanschutz.edu>

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Package multinma updated to version 0.2.0 with previous version 0.1.3 dated 2020-06-30

Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
Author: David M. Phillippo [aut, cre] (<https://orcid.org/0000-0003-2672-7841>)
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>

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Package landscapemetrics updated to version 1.5.1 with previous version 1.5.0 dated 2020-09-17

Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Project Nayuki [ctb] (Original author of underlying C++ code for get_circumscribingcircle and lsm_p_circle), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

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Package tseries updated to version 0.10-48 with previous version 0.10-47 dated 2019-06-05

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre], Blake LeBaron [ctb] (BDS test code)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package tidytransit updated to version 0.7.2 with previous version 0.7.1 dated 2020-04-17

Title: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
Author: Flavio Poletti [aut], Tom Buckley [aut, cre], Danton Noriega-Goodwin [aut], Mark Padgham [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], James Lamb [ctb], Alexandra Kapp [ctb], Kearey Smith [ctb], Dave Vautin [ctb], Kyle Walker [ctb]
Maintainer: Tom Buckley <tom@tbuckl.com>

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New package SleepCycles with initial version 1.0.1
Package: SleepCycles
Title: Sleep Cycle Detection
Version: 1.0.1
Authors@R: person(given = "Christine", family = "Blume", role = c("aut", "cre"), email = "christine.blume@sbg.ac.at", comment = c(ORCID = "0000-0003-2328-9612"))
Description: Sleep cycles are largely detected according to the originally proposed criteria by Feinberg & Floyd (1979) <doi:10.1111/j.1469-8986.1979.tb02991.x> as described in Blume & Cajochen (2020) <doi:10.31219/osf.io/r2q8v>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, reshape2, plyr, stringr, viridis, devtools
Language: en-GB
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-12-02 18:08:57 UTC; chris
Author: Christine Blume [aut, cre] (<https://orcid.org/0000-0003-2328-9612>)
Maintainer: Christine Blume <christine.blume@sbg.ac.at>
Repository: CRAN
Date/Publication: 2020-12-04 14:00:06 UTC

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Package seedwater updated to version 2.0 with previous version 1.0 dated 2019-02-12

Title: Models for Drying and Soaking Kinetics of Seeds
Description: Bringing together tools for modeling drying and soaking (rehydration) kinetics of seeds. This package contains several widely used predictive models (e.g.: da Silva et al., 2018). As these are nonlinear, the functions are interactive-based and easy-to-use. Least squares estimates are obtained with just a few visual adjustments of the initial parameter values. Reference: da Silva AR et al. (2018) <doi:10.2134/agronj2017.07.0373>.
Author: Anderson Rodrigo da Silva
Maintainer: Anderson Rodrigo da Silva <anderson.silva@ifgoiano.edu.br>

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Package pixels updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-27

Title: Tools for Working with Image Pixels
Description: Provides tools to show and draw image pixels using 'HTML' widgets and 'Shiny' applications. It can be used to visualize the 'MNIST' dataset for handwritten digit recognition or to create new image recognition datasets.
Author: Daniel Falbel [aut, cre], Javier Luraschi [aut], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package nzilbb.labbcat updated to version 0.6-3 with previous version 0.6-2 dated 2020-11-13

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20200812.1253 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

Diff between nzilbb.labbcat versions 0.6-2 dated 2020-11-13 and 0.6-3 dated 2020-12-04

 DESCRIPTION                                           |    8 +-
 MD5                                                   |   64 +++++++++---------
 build/partial.rdb                                     |binary
 tests/testthat/test-countAnnotations.R                |    1 
 tests/testthat/test-getAnchors.R                      |    1 
 tests/testthat/test-getAnnotations.R                  |    1 
 tests/testthat/test-getAvailableMedia.R               |    1 
 tests/testthat/test-getCorpusIds.R                    |    1 
 tests/testthat/test-getDeserializerDescriptors.R      |    1 
 tests/testthat/test-getDictionaries.R                 |    1 
 tests/testthat/test-getDictionaryEntries.R            |    1 
 tests/testthat/test-getFragments.R                    |    1 
 tests/testthat/test-getId.R                           |    1 
 tests/testthat/test-getLayer.R                        |    1 
 tests/testthat/test-getLayerIds.R                     |    1 
 tests/testthat/test-getLayers.R                       |    1 
 tests/testthat/test-getMatchAlignments.R              |    3 
 tests/testthat/test-getMatchLabels.R                  |    3 
 tests/testthat/test-getMatches.R                      |   18 ++---
 tests/testthat/test-getMatchingTrancriptIds.R         |    1 
 tests/testthat/test-getMedia.R                        |    1 
 tests/testthat/test-getMediaTracks.R                  |    1 
 tests/testthat/test-getParticipantAttributes.R        |    2 
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 tests/testthat/test-getTranscriptIdsWithParticipant.R |    1 
 tests/testthat/test-getUserInfo.R                     |    1 
 tests/testthat/test-processWithPraat.R                |    1 
 33 files changed, 79 insertions(+), 46 deletions(-)

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Package istacr updated to version 0.1.3 with previous version 0.1.1 dated 2019-12-17

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
Author: Alberto Gonzalez [aut, cre]
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>

Diff between istacr versions 0.1.1 dated 2019-12-17 and 0.1.3 dated 2020-12-04

 DESCRIPTION                                                                           |   12 -
 MD5                                                                                   |  116 +++++-----
 R/indicators_auxiliary_value_tables.R                                                 |    8 
 R/indicators_indicators.R                                                             |    6 
 R/indicators_indicators_systems.R                                                     |   10 
 R/resources.R                                                                         |   32 ++
 R/statistical_resources_cubes.R                                                       |    8 
 R/structural_resources_category.R                                                     |   20 -
 R/structural_resources_classifications.R                                              |   16 -
 R/structural_resources_concepts.R                                                     |   14 -
 R/structural_resources_datastructures.R                                               |   18 -
 R/structural_resources_variables.R                                                    |   16 -
 man/get_datasets.Rd                                                                   |    3 
 man/get_datasets_agency.Rd                                                            |   10 
 man/get_datasets_agency_resource.Rd                                                   |   11 
 man/get_datasets_agency_resource_version.Rd                                           |   10 
 man/get_indicators.Rd                                                                 |   10 
 man/get_indicators_code_data.Rd                                                       |    8 
 man/get_indicators_geographical_values.Rd                                             |    7 
 man/get_indicators_systems_code_instances.Rd                                          |   13 -
 man/get_indicators_systems_code_instances_code.Rd                                     |    6 
 man/get_indicators_systems_code_instances_code_data.Rd                                |   10 
 man/get_structuralresources_categorisations.Rd                                        |    8 
 man/get_structuralresources_categorisations_agency.Rd                                 |    9 
 man/get_structuralresources_categorisations_agency_resource.Rd                        |   10 
 man/get_structuralresources_categorisations_agency_resource_version.Rd                |    7 
 man/get_structuralresources_category_schemes.Rd                                       |    8 
 man/get_structuralresources_category_schemes_agency.Rd                                |    9 
 man/get_structuralresources_category_schemes_agency_resource.Rd                       |   10 
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 man/get_structuralresources_category_schemes_agency_resource_version_categories_id.Rd |    9 
 man/get_structuralresources_codelist_families.Rd                                      |    8 
 man/get_structuralresources_codelists.Rd                                              |    8 
 man/get_structuralresources_codelists_agency.Rd                                       |    9 
 man/get_structuralresources_codelists_agency_resource.Rd                              |   10 
 man/get_structuralresources_codelists_agency_resource_version.Rd                      |    7 
 man/get_structuralresources_codelists_agency_resource_version_codes.Rd                |   15 +
 man/get_structuralresources_codelists_agency_resource_version_codes_codeid.Rd         |    9 
 man/get_structuralresources_concept_schemes.Rd                                        |    8 
 man/get_structuralresources_concept_schemes_agency.Rd                                 |    9 
 man/get_structuralresources_concept_schemes_agency_resource.Rd                        |   10 
 man/get_structuralresources_concept_schemes_agency_resource_version.Rd                |    7 
 man/get_structuralresources_concept_schemes_agency_resource_version_concepts.Rd       |   13 -
 man/get_structuralresources_concept_schemes_agency_resource_version_concepts_id.Rd    |    9 
 man/get_structuralresources_content_constraints.Rd                                    |    8 
 man/get_structuralresources_content_constraints_agency.Rd                             |    9 
 man/get_structuralresources_content_constraints_agency_resource.Rd                    |   10 
 man/get_structuralresources_content_constraints_agency_resource_version.Rd            |    8 
 man/get_structuralresources_content_constraints_agency_resource_version_regions.Rd    |    9 
 man/get_structuralresources_data_structures.Rd                                        |    8 
 man/get_structuralresources_data_structures_agency.Rd                                 |    9 
 man/get_structuralresources_data_structures_agency_resource.Rd                        |   10 
 man/get_structuralresources_data_structures_agency_resource_version.Rd                |    7 
 man/get_structuralresources_geoinfo.Rd                                                |   11 
 man/get_structuralresources_variable_families.Rd                                      |    8 
 man/get_structuralresources_variable_families_id_variables.Rd                         |    9 
 man/get_structuralresources_variableelements.Rd                                       |    9 
 man/get_structuralresources_variables.Rd                                              |    8 
 59 files changed, 470 insertions(+), 229 deletions(-)

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Package gitcreds updated to version 0.1.1 with previous version 0.1.0 dated 2020-11-06

Title: Query 'git' Credentials from 'R'
Description: Query, set, delete credentials from the 'git' credential store. Manage 'GitHub' tokens and other 'git' credentials. This package is to be used by other packages that need to authenticate to 'GitHub' and/or other 'git' repositories.
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between gitcreds versions 0.1.0 dated 2020-11-06 and 0.1.1 dated 2020-12-04

 DESCRIPTION                           |    9 
 MD5                                   |   45 +--
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 R/git-auth.R                          |  493 ++++------------------------------
 R/list-creds.R                        |   32 --
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 README.md                             |    2 
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 inst/doc/package.html                 |  108 ++-----
 man/gitcreds-api.Rd                   |    2 
 man/gitcreds_cache_envvar.Rd          |    2 
 man/gitcreds_get.Rd                   |   17 +
 man/gitcreds_parse_output.Rd          |    2 
 tests/testthat/helper.R               |   12 
 tests/testthat/test-cache.R           |   20 -
 tests/testthat/test-format.R          |    4 
 tests/testthat/test-gitcreds-delete.R |    4 
 tests/testthat/test-gitcreds-get.R    |   12 
 tests/testthat/test-gitcreds-list.R   |    6 
 tests/testthat/test-gitcreds-set.R    |   34 +-
 tests/testthat/test-standalone.R      |only
 tests/testthat/test-username.R        |   46 +--
 tests/testthat/test-utils.R           |  105 +++----
 25 files changed, 353 insertions(+), 718 deletions(-)

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Permanent link

Package epiR updated to version 2.0.17 with previous version 1.0-15 dated 2020-06-14

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp, Mathew Jay and Charles Reynard.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 1.0-15 dated 2020-06-14 and 2.0.17 dated 2020-12-04

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 epiR-2.0.17/epiR/MD5                              |  241 +++++++++++++---------
 epiR-2.0.17/epiR/NAMESPACE                        |   79 +++++--
 epiR-2.0.17/epiR/NEWS                             |   42 +++
 epiR-2.0.17/epiR/R/epi.2by2.R                     |  114 +++++++---
 epiR-2.0.17/epiR/R/epi.insthaz.R                  |   49 +++-
 epiR-2.0.17/epiR/R/epi.nomogram.R                 |   20 +
 epiR-2.0.17/epiR/R/epi.prcc.R                     |  161 ++++++++------
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 epiR-2.0.17/epiR/R/epi.ssclus2estb.R              |   26 +-
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 epiR-2.0.17/epiR/R/epi.sscohortc.R                |  104 +++++++--
 epiR-2.0.17/epiR/R/epi.sscohortt.R                |   15 +
 epiR-2.0.17/epiR/R/epi.sscompb.R                  |   59 +++--
 epiR-2.0.17/epiR/R/epi.sscompc.R                  |   57 +++--
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Package cNORM updated to version 2.0.0 with previous version 1.2.4 dated 2020-11-16

Title: Continuous Norming
Description: Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016, <doi:10.1177/1073191116656437>; 2019, <doi:10.1371/journal.pone.0222279>) and generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample. An online demonstration is available via <https://cnorm.shinyapps.io/cNORM/>.
Author: Wolfgang Lenhard [cre, aut] (<https://orcid.org/0000-0002-8184-6889>), Alexandra Lenhard [aut], Sebastian Gary [aut]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package betafunctions updated to version 1.4.2 with previous version 1.4.0 dated 2020-10-18

Title: Functions for Working with Two- And Four-Parameter Beta Probability Distributions
Description: Package providing a number of functions for working with Two- and Four-parameter Beta distributions, including alternative parameterizations, calculation of moments, and fitting of Beta distributions to vectors of values. Also includes functions for estimating classification accuracy, diagnostic performance and consistency, using what is generally known as the "Livingston and Lewis approach" in the psychometric literature as the foundational method, which makes extensive use of the Beta distribution. A shiny application is now online which provides a GUI for the Livingston and Lewis approach. The application can be found at <https://hthaa.shinyapps.io/shinybeta/> Livingston and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>. Hanson (1991) <https://files.eric.ed.gov/fulltext/ED344945.pdf>. Glas, Lijmer, Prins, Bonsel and Bossuyt (2003) <doi:10.1016/S0895-4356(03)00177-X>.
Author: Haakon Haakstad
Maintainer: Haakon Haakstad <h.t.haakstad@cemo.uio.no>

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Package texmex updated to version 2.4.8 with previous version 2.4.7 dated 2020-06-12

Title: Statistical Modelling of Extreme Values
Description: Statistical extreme value modelling of threshold excesses, maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto, and Generalised Extreme Value model respectively. These models may be fitted by using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models may be fitted with covariates in any/all model parameters. Model diagnostics support the fitting process. Graphical output for visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals declustering algorithm of Ferro and Segers (2003) <doi:10.1111/1467-9868.00401> is provided, with diagnostic support to aid selection of threshold and declustering horizon. Multivariate modelling is performed via the conditional approach of Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>, with graphical tools for threshold selection and to diagnose estimation convergence.
Author: Harry Southworth [aut, cre], Janet E. Heffernan [aut], Paul D. Metcalfe [aut], Yiannis Papastathopoulos [ctb], Alec Stephenson [ctb], Stuart Coles [ctb]
Maintainer: Harry Southworth <harry.southworth@gmail.com>

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Package pencal updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-25

Title: Penalized Regression Calibration (PRC)
Description: Computes the penalized regression calibration (PRC) method, that allows to predict survival using high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (in review).
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package wordnet updated to version 0.1-15 with previous version 0.1-14 dated 2017-11-26

Title: WordNet Interface
Description: An interface to WordNet using the Jawbone Java API to WordNet. WordNet (<https://wordnet.princeton.edu/>) is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. Please note that WordNet(R) is a registered tradename. Princeton University makes WordNet available to research and commercial users free of charge provided the terms of their license (<https://wordnet.princeton.edu/license-and-commercial-use>) are followed, and proper reference is made to the project using an appropriate citation (<https://wordnet.princeton.edu/citing-wordnet>).
Author: Ingo Feinerer [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Mike Wallace [ctb, cph] (Jawbone Java WordNet API library)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package textcat updated to version 1.0-7 with previous version 1.0-6 dated 2018-11-11

Title: N-Gram Based Text Categorization
Description: Text categorization based on n-grams.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Johannes Rauch [aut], Christian Buchta [aut], Ingo Feinerer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package ompr updated to version 0.8.1 with previous version 0.8.0 dated 2018-06-11

Title: Model and Solve Mixed Integer Linear Programs
Description: Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the 'ompr' website <https://dirkschumacher.github.io/ompr/> for more information, documentation and examples.
Author: Dirk Schumacher [aut, cre]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

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Package ISOcodes updated to version 2020.12.04 with previous version 2020.03.16 dated 2020-03-16

Title: Selected ISO Codes
Description: ISO language, territory, currency, script and character codes. Provides ISO 639 language codes, ISO 3166 territory codes, ISO 4217 currency codes, ISO 15924 script codes, and the ISO 8859 character codes as well as the UN M.49 area codes.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package RNifti updated to version 1.3.0 with previous version 1.2.3 dated 2020-10-08

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] (<https://orcid.org/0000-0002-6608-0619>), Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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New package RecAssoRules with initial version 1.0
Package: RecAssoRules
Type: Package
Title: Recursive Mining for Frequent Pattern and Confident Association Rules
Version: 1.0
Date: 2020-11-14
Author: Louis Raimbault [aut,cre], A.Mokkadem [aut], M.Pelletier [aut]
Maintainer: Louis Raimbault <Louis.Raimbault@icloud.com>
Description: Provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) <arXiv:2011.14195>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp
URL: https://github.com/LouisRaimbault/RecAssoRules-R
BugReports: https://github.com/LouisRaimbault/RecAssoRules-R
NeedsCompilation: yes
RoxygenNote: 7.1.1
Packaged: 2020-12-01 23:15:02 UTC; lraimbault
Repository: CRAN
Date/Publication: 2020-12-04 10:30:02 UTC

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Package MareyMap updated to version 1.3.6 with previous version 1.3.5 dated 2020-05-21

Title: Estimation of Meiotic Recombination Rates Using Marey Maps
Description: Local recombination rates are graphically estimated across a genome using Marey maps.
Author: Aurélie Siberchicot, Clément Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between MareyMap versions 1.3.5 dated 2020-05-21 and 1.3.6 dated 2020-12-04

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Package hildareadR updated to version 0.2.0 with previous version 0.1.0 dated 2020-01-18

Title: Extract Variables from HILDA
Description: Makes it easy to extract and combine variables from the HILDA (Household, Income and Labour Dynamics in Australia) survey maintained by the Melbourne Institute <https://melbourneinstitute.unimelb.edu.au/hilda>.
Author: Sebastian Kalucza [aut, cre], Sara Kalucza [aut]
Maintainer: Sebastian Kalucza <sebastian.kalucza@gmail.com>

Diff between hildareadR versions 0.1.0 dated 2020-01-18 and 0.2.0 dated 2020-12-04

 DESCRIPTION       |    8 ++++----
 MD5               |    8 ++++----
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New package akiFlagger with initial version 0.1.2
Package: akiFlagger
Title: Flags Acute Kidney Injury (AKI)
Version: 0.1.2
Authors@R: c(person(given = "Ishan", family = "Saran", role = c("aut", "cre"), email = "ishansaran65@gmail.com", ), person(given = "Shivam", family = "Saran", role = "aut", email = "shivampsaran@gmail.com"))
Maintainer: Ishan Saran <ishansaran65@gmail.com>
Description: Flagger to detect acute kidney injury (AKI) in a patient dataset.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: dplyr, data.table, zoo
Suggests: testthat
Depends: R (>= 2.10)
URL: https://github.com/isaranwrap/akiFlagger
BugReports: https://github.com/isaranwrap/akiFlagger/issues
NeedsCompilation: no
Packaged: 2020-12-03 23:47:53 UTC; saranmedical-smile
Author: Ishan Saran [aut, cre], Shivam Saran [aut]
Repository: CRAN
Date/Publication: 2020-12-04 10:10:02 UTC

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Package ExPanDaR (with last version 0.5.1) was removed from CRAN

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

2020-01-29 0.5.1
2020-01-10 0.5.0
2019-04-06 0.4.0
2018-10-12 0.3.0
2018-05-11 0.2.0

Permanent link
Package RCT (with last version 1.0.3) was removed from CRAN

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

2020-07-13 1.0.3
2020-05-13 1.0.2
2020-04-03 1.0.0
2020-04-03 1.0.1

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Package interflex (with last version 1.1.3) was removed from CRAN

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

2020-04-23 1.1.3
2019-06-20 1.0.8
2018-04-20 1.0.4
2017-03-05 1.0.3
2017-02-26 1.0.2

Permanent link
New package rdacca.hp with initial version 0.1.0
Package: rdacca.hp
Type: Package
Title: Hierarchical Partitioning for Canonical Analysis
Version: 0.1.0
Date: 2020-11-26
Depends: R (>= 3.4.0),vegan
Author: Jiangshan Lai,Pedro Peres-neto
Maintainer: Jiangshan Lai <lai@ibcas.ac.cn>
Description: This function calculates the independent contribution of each explanatory variable to explained variation (R-squared) on RDA,CCA and db-RDA, applying the hierarchy algorithm of Chevan, A. and Sutherland, M. 1991 Hierarchical Partitioning.The American Statistician, 90-96 <DOI:10.1080/00031305.1991.10475776>.
License: GPL
URL: https://github.com/laijiangshan/rdacca.hp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-02 11:45:29 UTC; ThinkPad
Repository: CRAN
Date/Publication: 2020-12-04 09:20:02 UTC

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Package mlr3data updated to version 0.3.0 with previous version 0.2.1 dated 2020-10-05

Title: Collection of Machine Learning Data Sets for 'mlr3'
Description: A small collection of interesting and educational machine learning data sets which are used as examples in the 'mlr3' book (<https://mlr3book.mlr-org.com>), the use case gallery (<https://mlr3gallery.mlr-org.com>), or in other examples. All data sets are properly preprocessed and ready to be analyzed by most machine learning algorithms. Data sets are automatically added to the dictionary of tasks if 'mlr3' is loaded.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3data versions 0.2.1 dated 2020-10-05 and 0.3.0 dated 2020-12-04

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Package Interatrix updated to version 1.1.3 with previous version 1.1.1 dated 2015-07-03

Title: Compute Chi-Square Measures with Corrections
Description: Chi-square tests are computed with corrections.
Author: Aurélie Siberchicot, Eléonore Hellard, Dominique Pontier, David Fouchet and Franck Sauvage
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between Interatrix versions 1.1.1 dated 2015-07-03 and 1.1.3 dated 2020-12-04

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 11 files changed, 26 insertions(+), 28 deletions(-)

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New package iccde with initial version 0.2.0
Package: iccde
Type: Package
Title: Computation of the Double-Entry Intraclass Correlation
Version: 0.2.0
Author: Christian Blötner, Michael Paul Grosz
Maintainer: Christian Blötner <c.bloetner@gmail.com>
Description: The function computes the profile similarity measure double-entry intraclass correlation. It is a more precise index of the agreement of two empirically observed profiles than the often used intraclass correlation or profile correlation. In the case of score data with different scale formats, it is recommended to z-standardize the scores before entering into the function. For details, see Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-12-02 11:42:30 UTC; Christian Blötner
Repository: CRAN
Date/Publication: 2020-12-04 09:30:02 UTC

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New package gfilinreg with initial version 1.0.0
Package: gfilinreg
Type: Package
Title: Generalized Fiducial Inference for Low-Dimensional Linear Regression
Version: 1.0.0
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Fiducial framework for linear regression models allowing normal, Student, Cauchy, or logistic error terms. Only low-dimensional models are possible, such as the simple linear regression model, the quadratic regression model, or the one-way ANOVA model with two or three factor levels. Reference: Hannig, Lai & Lee (2014) <doi:10.1016/j.csda.2013.03.003>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: Rcpp, lazyeval, stats, utils, arrangements, spatstat, EigenR, data.table
Suggests: heavy, kde1d, knitr, rmarkdown
LinkingTo: Rcpp, RcppEigen, BH
RoxygenNote: 7.1.1
URL: https://github.com/stla/gfilinreg
BugReports: https://github.com/stla/gfilinreg/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-12-02 12:30:48 UTC; stla
Repository: CRAN
Date/Publication: 2020-12-04 09:40:02 UTC

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New package clevr with initial version 0.1.1
Package: clevr
Type: Package
Title: Clustering and Link Prediction Evaluation in R
Version: 0.1.1
Date: 2020-11-29
Authors@R: c( person(given = "Neil", family = "Marchant", email = "ngmarchant@gmail.com", role = c("aut", "cre")), person(given = "Rebecca", family = "Steorts", email = "beka@stat.duke.edu", role = c("aut")))
Maintainer: Neil Marchant <ngmarchant@gmail.com>
Description: Tools for evaluating link prediction and clustering algorithms with respect to ground truth. Includes efficient implementations of common performance measures such as pairwise precision/recall, cluster homogeneity/completeness, variation of information, Rand index etc.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 1.0.5), stats, Matrix
LinkingTo: Rcpp, BH (>= 1.69.0)
RoxygenNote: 7.1.1
Suggests: testthat
URL: https://github.com/cleanzr/clevr
BugReports: https://github.com/cleanzr/clevr/issues
Collate: 'RcppExports.R' 'clevr.R' 'measures_clusterings.R' 'transformations.R' 'measures_pairs.R'
NeedsCompilation: yes
Packaged: 2020-12-02 10:19:31 UTC; nmarchant
Author: Neil Marchant [aut, cre], Rebecca Steorts [aut]
Repository: CRAN
Date/Publication: 2020-12-04 09:20:05 UTC

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New package BGmisc with initial version 0.1
Package: BGmisc
Title: Behavior Genetic Modeling Functions
Version: 0.1
Date: 2020-11-15
Authors@R: c(person("S. Mason", "Garrison", email = "garrissm@wfu.edu", role = "aut"), person(c("Michael", "D."), "Hunter", role = "aut"), person(c("S.", "Alexandra"), "Burt", role = "aut"), person(c("Jonathan", "D."), "Trattner", email = "code@jdtrat.com", role = c("aut", "cre")) )
Description: Functions for behavior genetic modeling, including model identification, calculating relatedness, and various others (e.g., Hunter, Garrison, et al, 2019 <doi:10.1007/s10519-019-09973-8>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: Matrix, stats
NeedsCompilation: no
Packaged: 2020-11-28 17:36:20 UTC; jt
Author: S. Mason Garrison [aut], Michael D. Hunter [aut], S. Alexandra Burt [aut], Jonathan D. Trattner [aut, cre]
Maintainer: Jonathan D. Trattner <code@jdtrat.com>
Repository: CRAN
Date/Publication: 2020-12-04 09:10:05 UTC

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New package RFCCA with initial version 1.0.2
Package: RFCCA
Title: Random Forest with Canonical Correlation Analysis
Version: 1.0.2
Authors@R: c(person(given = "Cansu", family = "Alakus", role = c("aut", "cre"), email = "cansu.alakus@hec.ca"), person(given = "Denis", family = "Larocque", role = c("aut"), email = "denis.larocque@hec.ca"), person(given = "Aurelie", family = "Labbe", role = c("aut"), email = "aurelie.labbe@hec.ca"), person(given = "Hemant", family = "Ishwaran", role = c("ctb"), comment = "Author of included randomForestSRC codes"), person(given = "Udaya B.", family = "Kogalur", role = c("ctb"), comment = "Author of included randomForestSRC codes"))
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2020) <arXiv:2011.11555>. RFCCA uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: CCA, PMA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/calakus/RFCCA
BugReports: https://github.com/calakus/RFCCA/issues
NeedsCompilation: yes
Packaged: 2020-12-01 21:04:39 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] (Author of included randomForestSRC codes), Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2020-12-04 08:30:02 UTC

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Package lfe (with last version 2.8-5.1) was removed from CRAN

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

2020-07-08 2.8-5.1
2019-12-17 2.8-5
2019-12-11 2.8-4
2019-03-27 2.8-3
2019-03-26 2.8-2.1
2018-08-22 2.8-2
2018-06-28 2.8
2018-06-18 2.7-2383
2018-02-16 2.6-2291
2016-04-18 2.5-1998
2016-04-11 2.5-1968
2015-10-26 2.4-1788
2015-10-21 2.4-1786
2015-05-26 2.3-1709
2015-04-13 2.2-1699
2015-03-11 2.1-1640
2015-03-05 2.1-1629
2015-03-02 2.1-1620
2015-02-10 2.0-1570
2014-12-25 1.8-1441
2014-12-15 1.7-1416
2014-10-10 1.7-1404
2014-10-09 1.7-1401
2014-03-13 1.7-1289
2014-03-09 1.7-1286
2014-03-07 1.7-1282
2014-01-23 1.6-1188
2014-01-03 1.6-1180
2013-12-06 1.6-1163
2013-12-03 1.6-1161
2013-11-12 1.5-1118
2013-10-28 1.5-1107
2013-08-05 1.5-1045
2013-06-12 1.5-1026
2013-05-07 1.4-963
2013-04-03 1.4-941
2013-01-16 1.4-771
2011-12-07 1.4-731
2011-11-29 1.4-729
2011-11-23 1.4-726
2011-11-21 1.4-723
2011-10-11 1.4-709
2011-09-28 1.4-708
2011-09-27 1.4-702
2011-09-24 1.4-695
2011-09-22 1.4-681
2011-09-11 1.4-670
2011-09-01 1.4-653
2011-08-30 1.4-641
2011-04-24 1.3-572
2011-04-08 1.3-512
2011-03-30 1.2-452
2011-03-27 1.2-444
2011-03-16 1.1-434
2011-03-11 1.1-427
2011-03-10 1.0-418

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Package r2rtf updated to version 0.2.0 with previous version 0.1.1 dated 2020-04-03

Title: Easily Create Presentation-Ready Rich Text Format (RTF) Table and Figure
Description: Create presentation-ready Rich Text Format (RTF) table and figure with flexible and customized format.
Author: Yilong Zhang [aut, cre], Siruo Wang [aut], Simiao Ye [aut], Madhusudhan Ginnaram [aut], Merck Sharp & Dohme Corp [cph]
Maintainer: Yilong Zhang <yilong.zhang@merck.com>

Diff between r2rtf versions 0.1.1 dated 2020-04-03 and 0.2.0 dated 2020-12-04

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Package PHInfiniteEstimates updated to version 1.6 with previous version 1.5 dated 2020-09-24

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package paradox updated to version 0.6.0 with previous version 0.5.0 dated 2020-10-21

Title: Define and Work with Parameter Spaces for Complex Algorithms
Description: Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Xudong Sun [aut] (<https://orcid.org/0000-0003-3269-2307>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package ProjectTemplate updated to version 0.9.3 with previous version 0.9.2 dated 2020-05-11

Title: Automates the Creation of New Statistical Analysis Projects
Description: Provides functions to automatically build a directory structure for a new R project. Using this structure, 'ProjectTemplate' automates data loading, preprocessing, library importing and unit testing.
Author: Aleksandar Blagotic [ctb], Diego Valle-Jones [ctb], Jeffrey Breen [ctb], Joakim Lundborg [ctb], John Myles White [aut, cph], Josh Bode [ctb], Kenton White [ctb, cre], Kirill Mueller [ctb], Matteo Redaelli [ctb], Noah Lorang [ctb], Patrick Schalk [ctb], Dominik Schneider [ctb], Gerold Hepp [ctb]
Maintainer: Kenton White <jkentonwhite@gmail.com>

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Package MixGHD updated to version 2.3.4 with previous version 2.3.3 dated 2019-08-22

Title: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description: Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model 'MGHD' (Browne and McNicholas (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD'(Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of multiple scaled generalized hyperbolic distributions. The 'cMSGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>) is a 'MSGHD' with convex contour plots. The 'MCGHD' (Tortora et al. (2016) <arXiv:1403.2332v7>), mixture of coalesced generalized hyperbolic distributions is a new more flexible model.
Author: Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D. McNicholas [aut, cph], and Donald D. Amos [ctb].
Maintainer: Cristina Tortora <grikris1@gmail.com>

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