Tue, 05 Jul 2022

Package svrep updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-12

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as suggested by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

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Package volcano3D updated to version 2.0.0 with previous version 1.2.0 dated 2021-03-31

Title: 3D Volcano Plots and Polar Plots for Three-Class Data
Description: Generates interactive plots for analysing and visualising three-class high dimensional data. It is particularly suited to visualising differences in continuous attributes such as gene/protein/biomarker expression levels between three groups. Differential gene/biomarker expression analysis between two classes is typically shown as a volcano plot. However, with three groups this type of visualisation is particularly difficult to interpret. This package generates 3D volcano plots and 3-way polar plots for easier interpretation of three-class data.
Author: Katriona Goldmann [aut, cre] , Myles Lewis [aut]
Maintainer: Katriona Goldmann <k.goldmann@qmul.ac.uk>

Diff between volcano3D versions 1.2.0 dated 2021-03-31 and 2.0.0 dated 2022-07-05

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Package spray updated to version 1.0-20 with previous version 1.0-19 dated 2022-01-17

Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package SEMgraph updated to version 1.1.2 with previous version 1.1.1 dated 2022-04-11

Title: Network Analysis and Causal Inference Through Structural Equation Modeling
Description: Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions to import, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework described in Palluzzi and Grassi (2021) <arXiv:2103.08332>.
Author: Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [aut, cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

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Package rdaisi updated to version 0.1.2 with previous version 0.1.1 dated 2022-06-22

Title: R Client for the Daisi Microservice Platform
Description: Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.
Author: Daisi Technology, Inc. [aut], Jean-Marie Laigle [aut], Eric Hare [aut, cre]
Maintainer: Eric Hare <eric.hare@daisi.io>

Diff between rdaisi versions 0.1.1 dated 2022-06-22 and 0.1.2 dated 2022-07-05

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New package r5r with initial version 0.7.1
Package: r5r
Title: Rapid Realistic Routing with 'R5'
Version: 0.7.1
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) corresponds with the R5 version that r5r depends on.
Date: 2022-07-05
URL: https://github.com/ipeaGIT/r5r
BugReports: https://github.com/ipeaGIT/r5r/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Suggests: interp, covr, dplyr, ggplot2 (>= 3.3.1), knitr, mapview, rmarkdown, rgdal, testthat
Imports: checkmate, curl, data.table, httr, methods, raster, rJava (>= 0.9-10), sf (>= 0.9-3), sfheaders, utils
SystemRequirements: Java JDK (>= 11.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-05 15:22:48 UTC; user
Author: Marcus Saraiva [aut] , Rafael H. M. Pereira [cre] , Rafael H. M. Pereira [aut] , Daniel Herszenhut [aut] , Carlos Kaue Vieira Braga [aut] , Matthew Wigginton Conway [aut] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-05 22:40:05 UTC

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Package ottr updated to version 1.2.0 with previous version 1.1.5 dated 2022-06-16

Title: An R Autograding Extension for Otter-Grader
Description: An R autograding extension for Otter-Grader (<https://otter-grader.readthedocs.io>). It supports grading R scripts, R Markdown documents, and R Jupyter Notebooks.
Author: Christopher Pyles [aut, cre] , UC Berkeley Data Science Education Program [cph]
Maintainer: Christopher Pyles <cpyles@berkeley.edu>

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Package oce updated to version 1.7-8 with previous version 1.7-6 dated 2022-06-11

Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Author: Dan Kelley [aut, cre] , Clark Richards [aut] , Chantelle Layton [ctb] coauthor), British Geological Survey [ctb, cph]
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>

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More information about oce at CRAN
Permanent link

Package markets updated to version 1.0.6 with previous version 1.0.3 dated 2022-06-03

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre]
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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More information about markets at CRAN
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Package COINr updated to version 1.0.0 with previous version 0.6.1 dated 2021-11-30

Title: Composite Indicator Construction and Analysis
Description: A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.
Author: William Becker [aut, cre, cph]
Maintainer: William Becker <william.becker@bluefoxdata.eu>

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Package broom.helpers updated to version 1.8.0 with previous version 1.7.0 dated 2022-04-22

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.7.0 dated 2022-04-22 and 1.8.0 dated 2022-07-05

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Package BASiNETEntropy updated to version 0.99.3 with previous version 0.99.2 dated 2022-03-25

Title: Classification of RNA Sequences using Complex Network and Information Theory
Description: It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of maximum entropy for the purpose of making a classification between the classes of the sequences. There are two data present in the 'BASiNET' package, "mRNA", and "ncRNA" with 100 sequences. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples.
Author: Murilo Montanini Breve [aut] , Matheus Henrique Pimenta-Zanon [aut] , Fabricio Martins Lopes [aut, cre]
Maintainer: Fabricio Martins Lopes <fabricio@utfpr.edu.br>

Diff between BASiNETEntropy versions 0.99.2 dated 2022-03-25 and 0.99.3 dated 2022-07-05

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Package AlphaSimR updated to version 1.2.1 with previous version 1.2 dated 2022-06-15

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] , Gregor Gorjanc [ctb] , John Hickey [ctb] , Daniel Money [ctb] , David Wilson [ctb], Thiago Oliveira [ctb]
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

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New package riverconn with initial version 0.3.18
Package: riverconn
Title: Common Fragmentation and Connectivity Indices for Riverscapes
Version: 0.3.18
Maintainer: Damiano Baldan <damiano.baldan91@gmail.com>
Description: Indices for assessing riverscape fragmentation, including the Dendritic Connectivity Index, the Population Connectivity Index, the River Fragmentation Index, the Probability of Connectivity, and the Integral Index of connectivity. For a review, see Jumani et al. (2020) <doi:10.1088/1748-9326/abcb37>. Functions to calculate temporal indices improvement when fragmentation due to barriers is reduced are also included.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: doParallel, dplyr, foreach, igraph, magrittr, markdown, parallel, rlang, stats, tidyr, tidyselect, dodgr, reshape2
Suggests: knitr, ggnetwork, ggplot2, viridis, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-05 06:23:36 UTC; Damiano
Author: Damiano Baldan [aut, cre] , David Cunillera-Montcusi [ctb] , Andrea Funk [ctb]
Repository: CRAN
Date/Publication: 2022-07-05 21:10:02 UTC

More information about riverconn at CRAN
Permanent link

Package fields updated to version 14.0 with previous version 13.3 dated 2021-10-30

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], University Corporation for Atmospheric Research [cph]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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More information about fields at CRAN
Permanent link

New package rtiddlywiki with initial version 0.1.0
Package: rtiddlywiki
Title: R Interface for 'TiddlyWiki'
Version: 0.1.0
Author: Bangyou Zheng
Maintainer: Bangyou Zheng <Bangyou.Zheng@csiro.au>
Description: 'TiddlyWiki' is a unique non-linear notebook for capturing, organising and sharing complex information. 'rtiddlywiki' is a R interface of 'TiddlyWiki' <https://tiddlywiki.com> to create new tiddler from Rmarkdown file, and then put into a local 'TiddlyWiki' node.js server if it is available.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://rtiddlywiki.bangyou.me/, https://github.com/byzheng/rtiddlywiki
BugReports: https://github.com/byzheng/rtiddlywiki/issues
Imports: settings, httr, rmarkdown, utils, jsonlite, bookdown, stringr
Suggests: covr, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-05 03:25:48 UTC; zhe00a
Repository: CRAN
Date/Publication: 2022-07-05 21:00:02 UTC

More information about rtiddlywiki at CRAN
Permanent link

Package rscorecard updated to version 0.23.0 with previous version 0.22.0 dated 2022-03-25

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

Diff between rscorecard versions 0.22.0 dated 2022-03-25 and 0.23.0 dated 2022-07-05

 DESCRIPTION   |   11 +++++------
 MD5           |    6 +++---
 NEWS.md       |    4 ++++
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 4 files changed, 12 insertions(+), 9 deletions(-)

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New package dtrackr with initial version 0.2.4
Package: dtrackr
Title: Track your Data Pipelines
Version: 0.2.4
Description: Track and document 'dplyr' data pipelines. As you filter, mutate, and join your way through a data set, 'dtrackr' seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.
License: MIT + file LICENSE
Language: en-GB
Imports: dplyr, glue, htmltools, magrittr, rlang, rsvg, stringr, tibble, tidyr, utils, V8, fs, purrr, base64enc
Suggests: here, knitr, magick, rmarkdown, staplr, tidyverse, devtools, testthat (>= 2.1.0), rstudioapi
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-07-04 21:38:31 UTC; terminological
Author: Robert Challen [aut, cre]
Maintainer: Robert Challen <rc538@exeter.ac.uk>
Repository: CRAN
Date/Publication: 2022-07-05 21:00:09 UTC

More information about dtrackr at CRAN
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Package generics updated to version 0.1.3 with previous version 0.1.2 dated 2022-01-31

Title: Common S3 Generics not Provided by Base R Methods Related to Model Fitting
Description: In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.
Author: Hadley Wickham [aut, cre], Max Kuhn [aut], Davis Vaughan [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between generics versions 0.1.2 dated 2022-01-31 and 0.1.3 dated 2022-07-05

 DESCRIPTION          |   35 +++++++++++++----------------------
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More information about generics at CRAN
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Package fastmatrix updated to version 0.4-12 with previous version 0.4-1 dated 2022-04-21

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations useful in statistics and econometrics. Currently, there are functions for efficient computation of duplication, commutation and symmetrizer matrices with minimal storage requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula) and iterative solvers for linear systems are also available. In addition, the package includes a number of common statistical procedures such as the sweep operator, weighted mean and covariance matrix using an online algorithm, linear regression (using Cholesky, QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal selection of the ridge parameter considering several procedures), functions to compute the multivariate skewness, kurtosis, Mahalanobis distance (checking the positive defineteness) and the Wilson-Hilferty transformation of chi squared variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Author: Felipe Osorio [aut, cre] , Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between fastmatrix versions 0.4-1 dated 2022-04-21 and 0.4-12 dated 2022-07-05

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 26 files changed, 226 insertions(+), 96 deletions(-)

More information about fastmatrix at CRAN
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Package jds.rmd updated to version 0.3.1 with previous version 0.3.0 dated 2021-09-15

Title: R Markdown Templates for Journal of Data Science
Description: Customized R Markdown templates for authoring articles for Journal of Data Science.
Author: Wenjie Wang [aut, cre] , Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between jds.rmd versions 0.3.0 dated 2021-09-15 and 0.3.1 dated 2022-07-05

 DESCRIPTION                                               |    8 
 MD5                                                       |    8 
 NEWS.md                                                   |    7 
 README.md                                                 |    6 
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 5 files changed, 107 insertions(+), 68 deletions(-)

More information about jds.rmd at CRAN
Permanent link

Package wpa updated to version 1.8.0 with previous version 1.7.0 dated 2022-06-09

Title: Tools for Analysing and Visualising Viva Insights Data
Description: Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Aleksey Ashikhmin [ctb], Ellen Trinklein [ctb], [...truncated...]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between wpa versions 1.7.0 dated 2022-06-09 and 1.8.0 dated 2022-07-05

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 108 files changed, 1317 insertions(+), 493 deletions(-)

More information about wpa at CRAN
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Package workflows updated to version 1.0.0 with previous version 0.2.6 dated 2022-03-18

Title: Modeling Workflows
Description: Managing both a 'parsnip' model and a preprocessor, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model alongside the preprocessor, all within the same object.
Author: Davis Vaughan [aut, cre], RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between workflows versions 0.2.6 dated 2022-03-18 and 1.0.0 dated 2022-07-05

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More information about workflows at CRAN
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Package bupaR updated to version 0.5.0 with previous version 0.4.4 dated 2020-06-17

Title: Business Process Analysis in R
Description: Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Felix Mannhardt [ctb], Niels Martin [ctb], Greg Van Houdt [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

Diff between bupaR versions 0.4.4 dated 2020-06-17 and 0.5.0 dated 2022-07-05

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Package AdhereR updated to version 0.8.1 with previous version 0.8.0 dated 2022-06-23

Title: Adherence to Medications
Description: Computation of adherence to medications from Electronic Health care Data and visualization of individual medication histories and adherence patterns. The package implements a set of S3 classes and functions consistent with current adherence guidelines and definitions. It allows the computation of different measures of adherence (as defined in the literature, but also several original ones), their publication-quality plotting, the estimation of event duration and time to initiation, the interactive exploration of patient medication history and the real-time estimation of adherence given various parameter settings. It scales from very small datasets stored in flat CSV files to very large databases and from single-thread processing on mid-range consumer laptops to parallel processing on large heterogeneous computing clusters. It exposes a standardized interface allowing it to be used from other programming languages and platforms, such as Python.
Author: Dan Dediu [aut, cre], Alexandra Dima [aut], Samuel Allemann [aut]
Maintainer: Dan Dediu <ddediu@gmail.com>

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New package sharpeRratio with initial version 1.4.3
Package: sharpeRratio
Title: Moment-Free Estimation of Sharpe Ratios
Version: 1.4.3
Date: 2022-07-25
Author: Damien Challet
Maintainer: Damien Challet <damien.challet@gmail.com>
Description: An efficient moment-free estimator of the Sharpe ratio, or signal-to-noise ratio, for heavy-tailed data (see <arXiv:1505.01333>).
License: GPL
Depends: R (>= 3.5.0), ghyp, methods
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-07-05 14:07:50 UTC; damien
Repository: CRAN
Date/Publication: 2022-07-05 14:20:02 UTC

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New package SCCS with initial version 1.6
Package: SCCS
Title: The Self-Controlled Case Series Method
Version: 1.6
Date: 2022-07-04
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael Weldeselassie" <yonas.weldeselassie@open.ac.uk>
Description: Various self-controlled case series models used to investigate associations between time-varying exposures such as vaccines or other drugs or non drug exposures and an adverse event can be fitted. Detailed information on the self-controlled case series method and its extensions with more examples can be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and <https://sccs-studies.info/index.html>.
License: GPL (>= 2)
Depends: R (>= 2.14.0)
Imports: survival, splines, corpcor, fda, R.methodsS3, gnm
LazyData: yes
Packaged: 2022-07-04 22:50:06 UTC; u1673493
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-07-05 14:20:09 UTC

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Package qad updated to version 1.0.3 with previous version 1.0.2 dated 2022-06-23

Title: Quantification of Asymmetric Dependence
Description: A copula-based measure for quantifying asymmetry in dependence and associations. Documentation and theory about 'qad' is provided by the paper by Junker, Griessenberger & Trutschnig (2021, <doi:10.1016/j.csda.2020.107058>), and the paper by Trutschnig (2011, <doi:10.1016/j.jmaa.2011.06.013>).
Author: Thimo Kasper [aut, cre], Florian Griessenberger [aut], Robert R. Junker [aut], Valentin Petzel [aut], Wolfgang Trutschnig [aut]
Maintainer: Thimo Kasper <thimo.kasper@plus.ac.at>

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Package ParallelDSM updated to version 0.3.4 with previous version 0.3.3 dated 2022-07-01

Title: Parallel Digital Soil Mapping using Machine Learning
Description: Parallel computing, multi-core CPU is used to efficiently compute and process multi-dimensional soil data.This package includes the parallelized 'Quantile Regression Forests' algorithm for Digital Soil Mapping and is mainly dependent on the package 'quantregForest' and 'snowfall'. Detailed references to the R package and the web site are described in the methods, as detailed in the method documentation.
Author: Xiaodong Song [aut], Peicong Tang [aut, cre], Wentao Zhu [aut], Gaoqiang Ge [aut], Jun Zhu [aut], Ganlin Zhang [aut]
Maintainer: Peicong Tang <peicongtang0409@163.com>

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Package ExpImage updated to version 0.5.0 with previous version 0.4.0 dated 2022-01-22

Title: Tool For Analysis of Images in Experiments
Description: Tools created for image analysis in researches. There are functions associated with image editing, segmentation, and obtaining biometric measurements (Este pacote foi idealizado para para a analise de imagens em pesquisas. Ha funcoes associadas a edicao de imagens, segmentacao, e obtencao de medidas biometricas).
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>

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Package Ecdat updated to version 0.4-1 with previous version 0.4-0 dated 2022-06-15

Title: Data Sets for Econometrics
Description: Data sets for econometrics, including political science.
Author: Yves Croissant <yves.croissant@let.ish-lyon.cnrs.fr> and Spencer Graves
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

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Package Compind updated to version 2.6 with previous version 2.5 dated 2022-06-20

Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide <https://www.oecd.org/els/soc/handbookonconstructingcompositeindicatorsmethodologyanduserguide.htm>, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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Package BayesFactor updated to version 0.9.12-4.4 with previous version 0.9.12-4.3 dated 2021-12-13

Title: Computation of Bayes Factors for Common Designs
Description: A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
Author: Richard D. Morey [aut, cre, cph], Jeffrey N. Rouder [aut], Tahira Jamil [ctb, cph], Simon Urbanek [ctb, cph], Karl Forner [ctb, cph], Alexander Ly [ctb, cph]
Maintainer: Richard D. Morey <richarddmorey@gmail.com>

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More information about BayesFactor at CRAN
Permanent link

Package tcgaViz updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-28

Title: Visualization Tool for the Cancer Genome Atlas Program (TCGA)
Description: Differential analysis of tumor tissue immune cell type abundance based on RNA-seq gene-level expression from The Cancer Genome Atlas (TCGA; <https://pancanatlas.xenahubs.net>) database.
Author: Etienne Camenen [aut, cre], Gilles Marodon [aut], Nicolas Aubert [aut]
Maintainer: Etienne Camenen <etienne.camenen@gmail.com>

Diff between tcgaViz versions 1.0.0 dated 2022-06-28 and 1.0.1 dated 2022-07-05

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More information about tcgaViz at CRAN
Permanent link

Package ows4R updated to version 0.3 with previous version 0.2-1 dated 2022-01-26

Title: Interface to OGC Web-Services (OWS)
Description: Provides an Interface to Web-Services defined as standards by the Open Geospatial Consortium (OGC), including Web Feature Service (WFS) for vector data, Web Coverage Service (WCS), Catalogue Service (CSW) for ISO/OGC metadata, and associated standards such as the common web-service specification (OWS) and OGC Filter Encoding. Partial support is provided for the Web Map Service (WMS) and Web Processing Service (WPS). The purpose is to add support for additional OGC service standards such as Web Coverage Processing Service (WCPS) or OGC API.
Author: Emmanuel Blondel [aut, cre] , Alexandre Bennici [ctb] , Norbert Billet [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ows4R versions 0.2-1 dated 2022-01-26 and 0.3 dated 2022-07-05

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More information about ows4R at CRAN
Permanent link

Package ChaosGame updated to version 1.3 with previous version 1.2 dated 2022-06-21

Title: Chaos Game
Description: The main objective of the package is to enter a word of at least two letters based on which an Iterated Function System with Probabilities is constructed, and a two-dimensional fractal containing the chosen word infinitely often is generated via the Chaos Game. Additionally, the package allows to project the two-dimensional fractal on several three-dimensional surfaces and to transform the fractal into another fractal with uniform marginals.
Author: Thimo Kasper [aut, cre], Florian Griessenberger [aut], Manuela Schreyer [aut], Johannes Bartel [aut], Wolfgang Trutschnig [aut]
Maintainer: Thimo Kasper <thimo.kasper@plus.ac.at>

Diff between ChaosGame versions 1.2 dated 2022-06-21 and 1.3 dated 2022-07-05

 DESCRIPTION |   16 +++++++++-------
 MD5         |    2 +-
 2 files changed, 10 insertions(+), 8 deletions(-)

More information about ChaosGame at CRAN
Permanent link

Package tsutils updated to version 0.9.3 with previous version 0.9.2 dated 2020-02-06

Title: Time Series Exploration, Modelling and Forecasting
Description: Includes: (i) tests and visualisations that can help the modeller explore time series components and perform decomposition; (ii) modelling shortcuts, such as functions to construct lagmatrices and seasonal dummy variables of various forms; (iii) an implementation of the Theta method; (iv) tools to facilitate the design of the forecasting process, such as ABC-XYZ analyses; and (v) "quality of life" functions, such as treating time series for trailing and leading values.
Author: Nikolaos Kourentzes [aut, cre], Ivan Svetunkov [ctb], Oliver Schaer [ctb]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

Diff between tsutils versions 0.9.2 dated 2020-02-06 and 0.9.3 dated 2022-07-05

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More information about tsutils at CRAN
Permanent link

Package insight updated to version 0.18.0 with previous version 0.17.1 dated 2022-05-13

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut] , Vincent Arel-Bundock [aut, ctb] , Alex Hayes [rev]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.17.1 dated 2022-05-13 and 0.18.0 dated 2022-07-05

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Package TSA updated to version 1.3.1 with previous version 1.3 dated 2020-09-13

Title: Time Series Analysis
Description: Contains R functions and datasets detailed in the book "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
Author: Kung-Sik Chan, Brian Ripley
Maintainer: Kung-Sik Chan <kungsik.chan@gmail.com>

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Package snowfall updated to version 1.84-6.2 with previous version 1.84-6.1 dated 2015-10-14

Title: Easier Cluster Computing (Based on 'snow')
Description: Usability wrapper around snow for easier development of parallel R programs. This package offers e.g. extended error checks, and additional functions. All functions work in sequential mode, too, if no cluster is present or wished. Package is also designed as connector to the cluster management tool sfCluster, but can also used without it.
Author: Jochen Knaus
Maintainer: Jochen Knaus <jo@imbi.uni-freiburg.de>

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Package coloc updated to version 5.1.0.1 with previous version 5.1.0 dated 2021-06-14

Title: Colocalisation Tests of Two Genetic Traits
Description: Performs the colocalisation tests described in Giambartolomei et al (2013) <doi:10.1371/journal.pgen.1004383>, Wallace (2020) <doi:10.1371/journal.pgen.1008720>, Wallace (2021) <doi:10.1101/2021.02.23.432421>.
Author: Chris Wallace [aut, cre], Claudia Giambartolomei [aut], Vincent Plagnol [ctb]
Maintainer: Chris Wallace <cew54@cam.ac.uk>

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Package JMbayes2 updated to version 0.2-8 with previous version 0.2-0 dated 2022-02-10

Title: Extended Joint Models for Longitudinal and Time-to-Event Data
Description: Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Author: Dimitris Rizopoulos [aut, cre] , Grigorios Papageorgiou [aut], Pedro Miranda Afonso [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package EmbedSOM updated to version 2.1.2 with previous version 2.1.1 dated 2020-02-12

Title: Fast Embedding Guided by Self-Organizing Map
Description: Provides a smooth mapping of multidimensional points into low-dimensional space defined by a self-organizing map. Designed to work with 'FlowSOM' and flow-cytometry use-cases. See Kratochvil et al. (2019) <doi:10.12688/f1000research.21642.1>.
Author: Mirek Kratochvil [aut, cre], Sofie Van Gassen [cph], Britt Callebaut [cph], Yvan Saeys [cph], Ron Wehrens [cph]
Maintainer: Mirek Kratochvil <exa.exa@gmail.com>

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Package wavethresh updated to version 4.7.0 with previous version 4.6.9 dated 2022-04-25

Title: Wavelets Statistics and Transforms
Description: Performs 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.
Author: Guy Nason [aut, cre]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>

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Package StepBeta updated to version 2.0.0 with previous version 1.0.1 dated 2022-06-20

Title: Stepwise Procedure for Beta Regression Models
Description: Starting from a Beta Regression Model, it provides a stepwise procedure to select the linear predictor.
Author: Sergio Garofalo
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Package metrica updated to version 2.0.0 with previous version 1.2.3 dated 2022-05-12

Title: Prediction Performance Metrics
Description: A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.
Author: Adrian A. Correndo [cre, cph] , Adrian A. Correndo [aut] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Luciana Nieto [aut], Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <correndo@ksu.edu>

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New package easyalluvial with initial version 0.3.1
Package: easyalluvial
Title: Generate Alluvial Plots with a Single Line of Code
Version: 0.3.1
URL: https://github.com/erblast/easyalluvial/
Description: Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The 'ggalluvial' package made a great job of translating that grammar into 'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5)
Suggests: testthat, covr, ISLR, nycflights13, vdiffr (>= 0.3.1), pkgdown, mlbench, earth, workflows, future, furrr, e1071, caret, parsnip, vip, rpart, glmnet, xgboost
Imports: purrr , tidyr (>= 1.0.0) , dplyr , forcats , ggalluvial (>= 0.9.1) , ggplot2 (>= 3.2.0) , ggridges , RColorBrewer , recipes (>= 0.1.5) , rlang , stringr , magrittr , tibble , gridExtra , randomForest , progressr , progress
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-05 06:01:51 UTC; koneswab
Author: Bjoern Koneswarakantha [aut, cre]
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-05 07:30:08 UTC

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Package violinplotter updated to version 3.0.1 with previous version 3.0.0 dated 2021-11-17

Title: Plotting and Comparing Means with Violin Plots
Description: Produces violin plots with optional nonparametric (Mann-Whitney test) and parametric (Tukey's honest significant difference) mean comparison and linear regression. This package aims to be a simple and quick visualization tool for comparing means and assessing trends of categorical factors.
Author: Jefferson Paril <jeffersonparil@gmail.com>
Maintainer: Jefferson Paril <jeffersonparil@gmail.com>

Diff between violinplotter versions 3.0.0 dated 2021-11-17 and 3.0.1 dated 2022-07-05

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Package Cairo updated to version 1.6-0 with previous version 1.5-15 dated 2022-03-16

Title: R Graphics Device using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output
Description: R graphics device using cairographics library that can be used to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported.
Author: Simon Urbanek <Simon.Urbanek@r-project.org>, Jeffrey Horner <jeff.horner@vanderbilt.edu>
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Cairo versions 1.5-15 dated 2022-03-16 and 1.6-0 dated 2022-07-05

 DESCRIPTION           |    6 
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 src/cairotalk.h       |    4 
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More information about Cairo at CRAN
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