Fri, 10 Sep 2021

Package multigraph updated to version 0.96 with previous version 0.95 dated 2021-08-09

Title: Plot and Manipulate Multigraphs
Description: Functions to plot and manipulate multigraphs, signed and valued graphs, bipartite graphs, multilevel graphs, and Cayley graphs with various layout options. Please note that this package still under a devel version.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multigraph versions 0.95 dated 2021-08-09 and 0.96 dated 2021-09-10

 DESCRIPTION               |   10 +++++-----
 MD5                       |    6 +++---
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 man/multigraph-package.Rd |    8 ++++----
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More information about multigraph at CRAN
Permanent link

Package lares updated to version 5.0.2 with previous version 5.0.1 dated 2021-06-09

Title: Analytics, Data Mining & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.0.1 dated 2021-06-09 and 5.0.2 dated 2021-09-10

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More information about lares at CRAN
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Package easySdcTable updated to version 0.9.0 with previous version 0.8.0 dated 2021-08-12

Title: Easy Interface to the Statistical Disclosure Control Package 'sdcTable' Extended with the 'GaussSuppression' Method
Description: The main function, ProtectTable(), performs table suppression according to a frequency rule with a data set as the only required input. Within this function, protectTable(), protect_linked_tables() or runArgusBatchFile() in package 'sdcTable' is called. Lists of level-hierarchy (parameter 'dimList') and other required input to these functions are created automatically. The suppression method Gauss (default) is an additional method that is not available in 'sdcTable'. The function, PTgui(), starts a graphical user interface based on the 'shiny' package.
Author: Øyvind Langsrud [aut, cre]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between easySdcTable versions 0.8.0 dated 2021-08-12 and 0.9.0 dated 2021-09-10

 DESCRIPTION                        |   12 ++++++------
 MD5                                |   10 +++++-----
 NAMESPACE                          |    2 ++
 NEWS.md                            |    6 ++++++
 R/ProtectTable.R                   |   25 ++++++++++++++++++-------
 tests/testthat/test-ProtectTable.R |   12 ++++++++++++
 6 files changed, 49 insertions(+), 18 deletions(-)

More information about easySdcTable at CRAN
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New package whitebox with initial version 2.0.0
Package: whitebox
Title: 'WhiteboxTools' R Frontend
Version: 2.0.0
Description: An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
Maintainer: Andrew Brown <brown.andrewg@gmail.com>
License: MIT + file LICENSE
SystemRequirements: WhiteboxTools (https://github.com/jblindsay/whitebox-tools/releases/latest)
Encoding: UTF-8
URL: https://github.com/giswqs/whiteboxR
BugReports: https://github.com/giswqs/whiteboxR/issues
Suggests: knitr, rmarkdown, testthat, raster, rgdal
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-07 03:13:38 UTC; andrew
Author: Qiusheng Wu [aut], Andrew Brown [ctb, cre]
Repository: CRAN
Date/Publication: 2021-09-10 12:40:02 UTC

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Package parseRPDR updated to version 0.2.1 with previous version 0.2.0 dated 2021-07-24

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint, or creating a DICOM header database from the downloaded images. 'parseRPDR' currently supports txt sources: "mrn", "con", "dem", "enc", "rdt", "lab", "med", "dia", "rfv", "prc", "phy", "lno", "car", "dis", "end", "hnp", "opn", "pat", "prg", "pul", "rad" and "vis". All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

Diff between parseRPDR versions 0.2.0 dated 2021-07-24 and 0.2.1 dated 2021-09-10

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 NEWS.md        |    9 +++++++++
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 R/load_rdt.R   |    3 +--
 R/load_rfv.R   |    3 +--
 16 files changed, 46 insertions(+), 45 deletions(-)

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Package OpenImageR updated to version 1.2.0 with previous version 1.1.9 dated 2021-05-21

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library), Mohammad Haghighat [cph] (Gabor Feature Extraction), Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and SLICO algorithms (for commercial use please contact the author))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between OpenImageR versions 1.1.9 dated 2021-05-21 and 1.2.0 dated 2021-09-10

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 MD5                                                     |   18 +--
 NEWS.md                                                 |    5 
 README.md                                               |    2 
 inst/doc/Gabor_Feature_Extraction.html                  |    4 
 inst/doc/Image_segmentation_superpixels_clustering.html |    4 
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Package mitml updated to version 0.4-2 with previous version 0.4-1 dated 2021-02-05

Title: Tools for Multiple Imputation in Multilevel Modeling
Description: Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.
Author: Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Maintainer: Simon Grund <grund@ipn.uni-kiel.de>

Diff between mitml versions 0.4-1 dated 2021-02-05 and 0.4-2 dated 2021-09-10

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Package mapSpain updated to version 0.3.1 with previous version 0.3.0 dated 2021-09-01

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (CCAA, Provinces, Municipalities) based on the GISCO Eurostat database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>, rOpenSpain), EuroGeographics [cph] (for the administrative boundaries.), Instituto Geográfico Nacional [cph] (for the administrative boundaries.)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

Diff between mapSpain versions 0.3.0 dated 2021-09-01 and 0.3.1 dated 2021-09-10

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New package frenchdata with initial version 0.2.0
Package: frenchdata
Title: Download Data Sets from Kenneth's French Finance Data Library Site
Version: 0.2.0
Description: Download data sets from Kenneth's French finance data library site <http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>, reads all the data subsets from the file. Allows R users to collect the data as 'tidyverse'-ready data frames.
License: MIT + file LICENSE
URL: https://nareal.github.io/frenchdata/, https://github.com/nareal/frenchdata
BugReports: https://github.com/nareal/frenchdata/issues
Depends: R (>= 3.3)
Encoding: UTF-8
Imports: utils, magrittr, tibble, dplyr, tidyr (>= 1.0.0), cli, httr, rvest (>= 1.0.0), stringr, purrr, assertthat, rlang, fs, readr
Suggests: markdown, rmarkdown, knitr, lubridate, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-08 20:48:25 UTC; nareal
Author: Nelson Areal [aut, cre] (<https://orcid.org/0000-0002-1157-0178>)
Maintainer: Nelson Areal <nareal@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-10 12:10:11 UTC

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Package exactextractr updated to version 0.7.0 with previous version 0.6.1 dated 2021-05-10

Title: Fast Extraction from Raster Datasets using Polygons
Description: Provides a replacement for the 'extract' function from the 'raster' package that is suitable for extracting raster values using 'sf' polygons.
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

Diff between exactextractr versions 0.6.1 dated 2021-05-10 and 0.7.0 dated 2021-09-10

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Package Sshaped updated to version 1.0 with previous version 0.99 dated 2021-03-02

Title: Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Description: Estimation of an S-shaped function and its corresponding inflection point via a least squares approach. A sequential mixed primal-dual based algorithm is implemented for the fast computation. Details can be found in Feng et al. (2021) <arXiv:2107.07257>.
Author: Oliver Y. Feng [aut], Yining Chen [aut, cre], Qiyang Han [aut], Raymond J. Carroll [aut], Richard J. Samworth [aut]
Maintainer: Yining Chen <y.chen101@lse.ac.uk>

Diff between Sshaped versions 0.99 dated 2021-03-02 and 1.0 dated 2021-09-10

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New package StackImpute with initial version 0.1.0
Package: StackImpute
Title: Tools for Analysis of Stacked Multiple Imputations
Version: 0.1.0
Description: Provides methods for inference using stacked multiple imputations augmented with weights. The vignette provides example R code for implementation in general multiple imputation settings. For additional details about the estimation algorithm, we refer the reader to Beesley, Lauren J and Taylor, Jeremy M G (2020) “A stacked approach for chained equations multiple imputation incorporating the substantive model” <doi:10.1111/biom.13372>, and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random missingness through imputation stacking” <arXiv:2101.07954>.
Depends: R (>= 3.6.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: sandwich, zoo, mice, dplyr, MASS, magrittr, boot
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-08 18:16:12 UTC; mkleinsa
Author: Lauren Beesley [aut], Mike Kleinsasser [cre]
Maintainer: Mike Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2021-09-10 11:10:02 UTC

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New package quest with initial version 0.1.0
Package: quest
Title: Prepare Questionnaire Data for Analysis
Version: 0.1.0
Description: Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.
Depends: R (>= 4.0.0), datasets, stats, utils, methods
Imports: str2str, plyr, car, psych, psychTools
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-09 00:12:48 UTC; ddisa
Author: David Disabato [aut, cre] (<https://orcid.org/0000-0001-7094-4996>)
Maintainer: David Disabato <ddisab01@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-10 11:20:02 UTC

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Package QuadRoot updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-09

Title: Quadratic Root for any Quadratic Equation
Description: It will assist the user to find simple quadratic roots from any quadratic equation.
Author: Pankaj Das
Maintainer: Pankaj Das <pankaj.das2@icar.gov.in>

Diff between QuadRoot versions 0.1.0 dated 2021-01-09 and 0.2.0 dated 2021-09-10

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Package PesticideLoadIndicator updated to version 1.2.0 with previous version 1.1.0 dated 2021-08-13

Title: Computes Danish Pesticide Load Indicator
Description: Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.
Author: Niklas Moehring [aut, cre] (<https://orcid.org/0000-0003-0292-4402>), Leonie Vidensky [aut], Robert Finger [aut], Per Kudsk [aut], Lise Nistrup Jørgensen [aut], Jens Erik Ørum [aut], Uwe Schmitt [ctb]
Maintainer: Niklas Moehring <niklas.moehring@mtec.ethz.ch>

Diff between PesticideLoadIndicator versions 1.1.0 dated 2021-08-13 and 1.2.0 dated 2021-09-10

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Package odeGUTS updated to version 1.0.1 with previous version 1.0.0 dated 2021-08-13

Title: Solve ODE for GUTS-RED-SD and GUTS-RED-IT Using Compiled Code
Description: Allows performing forwards prediction for the General Unified Threshold model of Survival using compiled ode code. This package was created to avoid dependency with the 'morse' package that requires the installation of 'JAGS'. This package is based on functions from the 'morse' package v3.3.1: Virgile Baudrot, Sandrine Charles, Marie Laure Delignette-Muller, Wandrille Duchemin, Benoit Goussen, Nils Kehrein, Guillaume Kon-Kam-King, Christelle Lopes, Philippe Ruiz, Alexander Singer and Philippe Veber (2021) <https://CRAN.R-project.org/package=morse>.
Author: Benoit Goussen [aut, cre] (<https://orcid.org/0000-0001-7204-7981>)
Maintainer: Benoit Goussen <benoit.goussen@ibacon.com>

Diff between odeGUTS versions 1.0.0 dated 2021-08-13 and 1.0.1 dated 2021-09-10

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New package MCID with initial version 0.1.0
Package: MCID
Title: Estimating the Minimal Clinically Important Difference
Version: 0.1.0
Date: 2021-09-07
Description: Apply the marginal classification method to achieve the purpose of providing the point and interval estimates for the minimal clinically important difference based on the classical anchor-based method. For more details of the methodology, please see Zehua Zhou, Leslie J. Bisson and Jiwei Zhao (2021) <arXiv:2108.11589>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2021-09-09 00:04:29 UTC; Zehua Zhou
Author: Zehua Zhou [cre, aut], Jiwei Zhao [aut]
Maintainer: Zehua Zhou <zehuazho@buffalo.edu>
Repository: CRAN
Date/Publication: 2021-09-10 11:20:12 UTC

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Package dials updated to version 0.0.10 with previous version 0.0.9 dated 2020-09-16

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], RStudio [cph]
Maintainer: Hannah Frick <hannah@rstudio.com>

Diff between dials versions 0.0.9 dated 2020-09-16 and 0.0.10 dated 2021-09-10

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Package bayes4psy updated to version 1.2.7 with previous version 1.2.6 dated 2021-04-26

Title: User Friendly Bayesian Data Analysis for Psychology
Description: Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).
Author: Jure Demšar [cre, aut], Grega Repovš [aut], Erik Štrumbelj [aut], Trustees of Columbia University [cph], John Kruschke [cph] (R/shared_functions.R - mcmc_hdi, src/stan_files/ttest.stan), Rasmus Baath [cph] (R/b_bootstrap.R)
Maintainer: Jure Demšar <jure.demsar@fri.uni-lj.si>

Diff between bayes4psy versions 1.2.6 dated 2021-04-26 and 1.2.7 dated 2021-09-10

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New package ooplah with initial version 0.1.0
Package: ooplah
Title: Helper Functions for Class Object-Oriented Programming
Version: 0.1.0
Description: Helper functions for coding object-oriented programming with a focus on R6. Includes functions for assertions and testing, looping, and re-usable design patterns including Abstract and Decorator classes.
License: MIT + file LICENSE
URL: https://xoopR.github.io/ooplah/, https://github.com/xoopR/ooplah
BugReports: https://github.com/xoopR/ooplah/issues
Imports: R6
Suggests: devtools, testthat, withr
Encoding: UTF-8
SystemRequirements: C++11
NeedsCompilation: no
Packaged: 2021-09-08 17:08:27 UTC; raphaelsonabend
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-10 10:40:02 UTC

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New package edmcr with initial version 0.2.0
Package: edmcr
Version: 0.2.0
Date: 2021-09-08
Title: Euclidean Distance Matrix Completion Tools
Description: Implements various general algorithms to estimate missing elements of a Euclidean (squared) distance matrix. Includes optimization methods based on semi-definite programming found in Alfakih, Khadani, and Wolkowicz (1999)<doi:10.1023/A:1008655427845>, a non-convex position formulation by Fang and O'Leary (2012)<doi:10.1080/10556788.2011.643888>, and a dissimilarity parameterization formulation by Trosset (2000)<doi:10.1023/A:1008722907820>. When the only non-missing distances are those on the minimal spanning tree, the guided random search algorithm will complete the matrix while preserving the minimal spanning tree following Rahman and Oldford (2018)<doi:10.1137/16M1092350>. Point configurations in specified dimensions can be determined from the completions. Special problems such as the sensor localization problem, as for example in Krislock and Wolkowicz (2010)<doi:10.1137/090759392>, as well as reconstructing the geometry of a molecular structure, as for example in Hendrickson (1995)<doi:10.1137/0805040>, can also be solved. These and other methods are described in the thesis of Adam Rahman(2018)<https://hdl.handle.net/10012/13365>.
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>
URL: https://github.com/great-northern-diver/edmcr
Depends: R (>= 3.2.0)
Imports: Matrix, igraph, lbfgs, truncnorm, MASS, nloptr, vegan, sdpt3r, utils, methods, stats
KeepSource: yes
NeedsCompilation: yes
License: GPL-2 | GPL-3
Encoding: UTF-8
Packaged: 2021-09-08 17:59:30 UTC; rwoldford
Author: Adam Rahman [aut], R. Wayne Oldford [aut, cre, ths]
Repository: CRAN
Date/Publication: 2021-09-10 10:40:06 UTC

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Package iptools updated to version 0.7.2 with previous version 0.6.1 dated 2018-12-09

Title: Manipulate, Validate and Resolve 'IP' Addresses
Description: A toolkit for manipulating, validating and testing 'IP' addresses and ranges, along with datasets relating to 'IP' addresses. Tools are also provided to map 'IPv4' blocks to country codes. While it primarily has support for the 'IPv4' address space, more extensive 'IPv6' support is intended.
Author: Bob Rudis <bob@rud.is> [aut, cre], Oliver Keyes <ironholds@gmail.com> [aut], Tim Smith [ctb]
Maintainer: Bob Rudis <bob@rud.is>

Diff between iptools versions 0.6.1 dated 2018-12-09 and 0.7.2 dated 2021-09-10

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Package BGVAR updated to version 2.3.1 with previous version 2.3.0 dated 2021-08-10

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>), Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>), Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>), Darjus Hosszejni [ctb] (<https://orcid.org/0000-0002-3803-691X>)
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

Diff between BGVAR versions 2.3.0 dated 2021-08-10 and 2.3.1 dated 2021-09-10

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Package anndata updated to version 0.7.5.3 with previous version 0.7.5.2 dated 2021-03-28

Title: 'anndata' for R
Description: A 'reticulate' wrapper for the Python package 'anndata'. Provides a scalable way of keeping track of data and learned annotations. Used to read from and write to the h5ad file format.
Author: Philipp Angerer [ccp] (<https://orcid.org/0000-0002-0369-2888>, flying-sheep), Alex Wolf [ccp] (<https://orcid.org/0000-0002-8760-7838>, falexwolf), Isaac Virshup [ccp] (ivirshup), Sergei Rybakov [ccp] (Koncopd), Robrecht Cannoodt [aut, cre, cph] (<https://orcid.org/0000-0003-3641-729X>, rcannood)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package jmvReadWrite (with last version 0.2.1) was removed from CRAN

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

2021-08-23 0.2.1
2020-09-16 0.1.0

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Package tipr updated to version 0.3.0 with previous version 0.2.0 dated 2020-11-16

Title: Tipping Point Analyses
Description: The strength of evidence provided by epidemiological and observational studies is inherently limited by the potential for unmeasured confounding. We focus on three key quantities: the observed bound of the confidence interval closest to the null, a plausible residual effect size for an unmeasured continuous or binary confounder, and a realistic mean difference or prevalence difference for this hypothetical confounder. Building on the methods put forth by Lin, Psaty, & Kronmal (1998) <doi:10.2307/2533848>, we can use these quantities to assess how an unmeasured confounder may tip our result to insignificance, rendering the study inconclusive.
Author: Lucy D'Agostino McGowan
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>

Diff between tipr versions 0.2.0 dated 2020-11-16 and 0.3.0 dated 2021-09-10

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Package riverdist updated to version 0.15.4 with previous version 0.15.3 dated 2020-07-02

Title: River Network Distance Computation and Applications
Description: Reads river network shape files and computes network distances. Also included are a variety of computation and graphical tools designed for fisheries telemetry research, such as minimum home range, kernel density estimation, and clustering analysis using empirical k-functions with a bootstrap envelope. Tools are also provided for editing the river networks, meaning there is no reliance on external software.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>

Diff between riverdist versions 0.15.3 dated 2020-07-02 and 0.15.4 dated 2021-09-10

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Package diseasemapping updated to version 1.5.1 with previous version 1.5.0 dated 2021-03-11

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using 'INLA'. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown <patrick.brown@utoronto.ca>, Lutong Zhou
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between diseasemapping versions 1.5.0 dated 2021-03-11 and 1.5.1 dated 2021-09-10

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Package consort updated to version 0.2.0 with previous version 0.1.1 dated 2021-08-10

Title: Create Consort Diagram
Description: To make it easy to create CONSORT diagrams for the transparent reporting of participant allocation in randomized, controlled clinical trials. This is done by creating a standardized disposition data, and using this data as the source for the creation a standard CONSORT diagram. Human effort by supplying text labels on the node can also be achieved.
Author: Alim Dayim [aut, cre] (<https://orcid.org/0000-0001-9998-7463>)
Maintainer: Alim Dayim <ad938@cam.ac.uk>

Diff between consort versions 0.1.1 dated 2021-08-10 and 0.2.0 dated 2021-09-10

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