Wed, 26 Jan 2022

Package namedropR updated to version 2.2.1 with previous version 2.1.1 dated 2022-01-18

Title: Create Visual Citations to Include in Presentations
Description: Provides 'visual citations' containing the metadata of a scientific paper and a 'QR' code. A 'visual citation' is a banner containing title, authors, journal and year of a publication. This package can create such banners based on 'BibTeX' and 'BibLaTeX' references and includes a QR code pointing to the 'DOI'. The resulting HTML object or PNG image can be included in a presentation to point the audience to good resources for further reading. Styling is possible via predefined designs or via custom 'CSS'. This package is not intended as replacement for proper reference manager packages, but a tool to enrich scientific presentation slides.
Author: Christian A. Gebhard [aut, cre] (<https://orcid.org/0000-0002-8792-565X>)
Maintainer: Christian A. Gebhard <christian.gebhard@posteo.de>

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Package SFSI updated to version 1.0.1 with previous version 1.0.0 dated 2021-09-30

Title: Sparse Family and Selection Index
Description: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') <doi:10.1038/s41598-020-65011-2> and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') <doi:10.1093/genetics/iyab030>.
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [ctb]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>

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Package ows4R updated to version 0.2-1 with previous version 0.2 dated 2021-11-30

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, 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 Service (WCS), Web Coverage Processing Service (WCPS) or OGC API.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Alexandre Bennici [ctb] (<https://orcid.org/0000-0003-2160-3487>), Norbert Billet [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package childesr updated to version 0.2.3 with previous version 0.2.2 dated 2021-10-04

Title: Accessing the 'CHILDES' Database
Description: Tools for connecting to 'CHILDES', an open repository for transcripts of parent-child interaction. For more information on the underlying data, see <https://langcog.github.io/childes-db-website/>.
Author: Mika Braginsky [aut, cre], Alessandro Sanchez [aut, ctb], Daniel Yurovsky [aut], Kyle MacDonald [ctb], Stephan Meylan [ctb], Jessica Mankewitz [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>

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Package microplot updated to version 1.0-45 with previous version 1.0-44 dated 2020-11-28

Title: Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'
Description: The microplot function writes a set of R graphics files to be used as microplots (sparklines) in tables in either 'LaTeX', 'HTML', 'Word', or 'Excel' files. For 'LaTeX', we provide methods for the Hmisc::latex() generic function to construct 'latex' tabular environments which include the graphs. These can be used directly with the operating system 'pdflatex' or 'latex' command, or by using one of 'Sweave', 'knitr', 'rmarkdown', or 'Emacs org-mode' as an intermediary. For 'MS Word', the msWord() function uses the 'flextable' package to construct 'Word' tables which include the graphs. There are several distinct approaches for constructing HTML files. The simplest is to use the msWord() function with argument filetype="html". Alternatively, use either 'Emacs org-mode' or the htmlTable::htmlTable() function to construct an 'HTML' file containing tables which include the graphs. See the documentation for our as.htmlimg() function. For 'Excel' use on 'Windows', the file examples/irisExcel.xls includes 'VBA' code which brings the individual panels into individual cells in the spreadsheet. Examples in the examples and demo subdirectories are shown with 'lattice' graphics, 'ggplot2' graphics, and 'base' graphics. Examples for 'LaTeX' include 'Sweave' (both 'LaTeX'-style and 'Noweb'-style), 'knitr', 'emacs org-mode', and 'rmarkdown' input files and their 'pdf' output files. Examples for 'HTML' include 'org-mode' and 'Rmd' input files and their webarchive 'HTML' output files. In addition, the as.orgtable() function can display a data.frame in an 'org-mode' document. The examples for 'MS Word' (with either filetype="docx" or filetype="html") work with all operating systems. The package does not require the installation of 'LaTeX' or 'MS Word' to be able to write '.tex' or '.docx' files.
Author: Richard M. Heiberger, with contributions from Karen Byron and Nooreen Dabbish.
Maintainer: Richard M. Heiberger <rmh@temple.edu>

Diff between microplot versions 1.0-44 dated 2020-11-28 and 1.0-45 dated 2022-01-26

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Package wrapr updated to version 2.0.9 with previous version 2.0.8 dated 2021-06-11

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package smacpod updated to version 2.4 with previous version 2.3 dated 2021-10-13

Title: Statistical Methods for the Analysis of Case-Control Point Data
Description: Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.
Author: Joshua French [aut, cre] (<https://orcid.org/0000-0002-9708-3353>)
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between smacpod versions 2.3 dated 2021-10-13 and 2.4 dated 2022-01-26

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Package geonapi updated to version 0.5-2 with previous version 0.5-1 dated 2022-01-14

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geonapi versions 0.5-1 dated 2022-01-14 and 0.5-2 dated 2022-01-26

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Package clustermq updated to version 0.8.95.3 with previous version 0.8.95.2 dated 2021-11-05

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert [aut, cre] (<https://orcid.org/0000-0002-6862-5221>)
Maintainer: Michael Schubert <mschu.dev@gmail.com>

Diff between clustermq versions 0.8.95.2 dated 2021-11-05 and 0.8.95.3 dated 2022-01-26

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Package BMisc updated to version 1.4.4 with previous version 1.4.3 dated 2021-12-09

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas.
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between BMisc versions 1.4.3 dated 2021-12-09 and 1.4.4 dated 2022-01-26

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New package pder with initial version 1.0-2
Package: pder
Version: 1.0-2
Date: 2022-01-25
Title: Panel Data Econometrics with R
Depends: R (>= 3.5.0), plm
Suggests: car, dplyr, ggplot2, lmtest, msm, pglm, splm, survival, texreg
Description: Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.
License: GPL (>= 2)
URL: https://cran.r-project.org/package=pder
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-25 12:13:45 UTC; yves
Author: Yves Croissant [aut, cre] (<https://orcid.org/0000-0002-4857-7736>), Giovanni Millo [aut]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Repository: CRAN
Date/Publication: 2022-01-26 20:02:25 UTC

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New package hal9001 with initial version 0.4.2
Package: hal9001
Title: The Scalable Highly Adaptive Lasso
Version: 0.4.2
Description: A scalable implementation of the highly adaptive lasso algorithm, including routines for constructing sparse matrices of basis functions of the observed data, as well as a custom implementation of Lasso regression tailored to enhance efficiency when the matrix of predictors is composed exclusively of indicator functions. For ease of use and increased flexibility, the Lasso fitting routines invoke code from the 'glmnet' package by default. The highly adaptive lasso was first formulated and described by MJ van der Laan (2017) <doi:10.1515/ijb-2015-0097>, with practical demonstrations of its performance given by Benkeser and van der Laan (2016) <doi:10.1109/DSAA.2016.93>. This implementation of the highly adaptive lasso algorithm was described by Hejazi, Coyle, and van der Laan (2020) <doi:10.21105/joss.02526>.
Depends: R (>= 3.1.0), Rcpp
License: GPL-3
URL: https://github.com/tlverse/hal9001
BugReports: https://github.com/tlverse/hal9001/issues
Encoding: UTF-8
LazyData: true
Imports: Matrix, stats, utils, methods, assertthat, origami (>= 1.0.3), glmnet, data.table, stringr
Suggests: testthat, knitr, rmarkdown, microbenchmark, future, ggplot2, dplyr, tidyr, survival, SuperLearner
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-01-07 04:04:40 UTC; nsh
Author: Jeremy Coyle [aut, cre] (<https://orcid.org/0000-0002-9874-6649>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Rachael Phillips [aut] (<https://orcid.org/0000-0002-8474-591X>), Lars van der Laan [aut], David Benkeser [ctb] (<https://orcid.org/0000-0002-1019-8343>), Oleg Sofrygin [ctb], Weixin Cai [ctb] (<https://orcid.org/0000-0003-2680-3066>), Mark van der Laan [aut, cph, ths] (<https://orcid.org/0000-0003-1432-5511>)
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-26 20:02:29 UTC

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Package geometa updated to version 0.6-6 with previous version 0.6-5 dated 2021-12-06

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to handle reading and writing of geographic metadata defined with OGC/ISO 19115, 11119 and 19110 geographic information metadata standards, and encoded using the ISO 19139 (XML) standard. It includes also a facility to check the validity of ISO 19139 XML encoded metadata.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package rlang updated to version 1.0.0 with previous version 0.4.12 dated 2021-10-18

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] (Hash implementation based on Mike's xxhashlite), Yann Collet [cph] (Author of the embedded xxHash library), RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

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New package optimbase with initial version 1.0-10
Package: optimbase
Title: R Port of the 'Scilab' Optimbase Module
Version: 1.0-10
Date: 2022-01-24
Description: Provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constraints, the cost function, the logging system, various termination criteria, etc...
Depends: Matrix, methods
Suggests: knitr (>= 1.28), rmarkdown (>= 2.2)
License: CeCILL-2
Encoding: UTF-8
VignetteBuilder: knitr
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-01-24 22:03:46 UTC; sebastien
Author: Sebastien Bihorel [aut, cre], Michael Baudin [aut]
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-26 19:22:48 UTC

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New package navigatr with initial version 0.1.0
Package: navigatr
Title: Navigation Menu for Pipe-Friendly Data Processing
Version: 0.1.0
Description: Provides a navigation menu to enable pipe-friendly data processing for hierarchical data structures. By activating the menu items, you can perform operations on each item while maintaining the overall structure in attributes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, pillar, purrr, rlang, tibble, tidyselect, vctrs
Suggests: testthat (>= 3.0.0)
URL: https://github.com/UchidaMizuki/navigatr
BugReports: https://github.com/UchidaMizuki/navigatr/issues
NeedsCompilation: no
Packaged: 2022-01-25 13:35:32 UTC; Mizuki
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>
Repository: CRAN
Date/Publication: 2022-01-26 19:32:42 UTC

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New package naflex with initial version 0.1.0
Package: naflex
Title: Flexible Options for Handling Missing Values
Version: 0.1.0
Description: For use in summary functions to omit missing values conditionally using specified checks.
License: LGPL (>= 3)
URL: https://github.com/dannyparsons/naflex
BugReports: https://github.com/dannyparsons/naflex/issues
Imports: stats
Suggests: knitr, magrittr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-25 11:14:55 UTC; Danny
Author: Danny Parsons [aut, cre] (<https://orcid.org/0000-0002-8333-9880>), Shadrack Kibet [aut]
Maintainer: Danny Parsons <danny@idems.international>
Repository: CRAN
Date/Publication: 2022-01-26 19:32:45 UTC

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New package intensitynet with initial version 1.0.0
Package: intensitynet
Version: 1.0.0
Date: 2022-01-18
Title: Intensity Analysis of Spatial Point Patterns on Complex Networks
Maintainer: Pol Llagostera <pol.llagostera@udl.cat>
Depends: R (>= 3.6.0)
Suggests: spatstat (>= 2.3.0), testthat (>= 3.0.0)
Imports: ggplot2 (>= 3.3.2), igraph (>= 1.2.5), intergraph (>= 2.0.2), Matrix (>= 1.2.18), methods (>= 3.6.3), sna (>= 2.6), spatstat.geom (>= 2.3.1), spdep (>= 1.2.1), viridis (>= 0.5.1)
Description: Tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks. This package is based on the following research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>. Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-01-25 09:12:12 UTC; usuari
Author: Pol Llagostera [aut, cre], Matthias Eckardt [aut]
Repository: CRAN
Date/Publication: 2022-01-26 19:22:52 UTC

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Package greybox updated to version 1.0.3 with previous version 1.0.2 dated 2021-12-01

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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New package bpAcc with initial version 0.0-1
Package: bpAcc
Version: 0.0-1
Date: 2022-01-19
Title: Blood Pressure Device Accuracy Evaluation: Statistical Considerations
Maintainer: Victor Miranda <victor.miranda@aut.ac.nz>
Depends: R (>= 3.5.0), methods, stats
Description: A comprehensive statistical analysis of the accuracy of blood pressure devices based on the method of AAMI/ANSI SP10 standards developed by the AAMI Sphygmomanometer Committee for indirect measurement of blood pressure, incorporated into IS0 81060-2. The 'bpAcc' package gives the exact probability 'of accepting a device D' derived from the join distribution of the sample standard deviation and a non-linear transformation of the sample mean for a specified sample size introduced by Chandel et al. (2022) and by the Association for the Advancement of Medical Instrumentation (2003, ISBN:1-57020-183-8).
License: GPL-2
NeedsCompilation: yes
BuildVignettes: yes
Packaged: 2022-01-25 05:14:34 UTC; vico
Author: Victor Miranda [cre, aut, cph], Tanvi Chandel [aut], Andrew Lowe [aut], Tet Chuan Lee [aut], Auckland_University_of_Technology (AUT) [cph, fnd]
Repository: CRAN
Date/Publication: 2022-01-26 19:22:56 UTC

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New package bipd with initial version 0.1
Package: bipd
Title: Bayesian Individual Patient Data Meta-Analysis using 'JAGS'
Version: 0.1
Date: 2022-01-21
Depends: R (>= 2.10)
Imports: rjags (>= 4-6), coda (>= 0.13), mvtnorm, dplyr
Suggests: dclone, R2WinBUGS, mice, micemd, miceadds, mitools, knitr, rmarkdown
Description: We use a Bayesian approach to run individual patient data meta-analysis using 'JAGS'. The methods incorporate shrinkage methods and calculate patient-specific treatment effects as described in Seo et al. (2021) <DOI:10.1002/sim.8859>. This package also includes user-friendly functions that impute missing data in an individual patient data using mice-related packages.
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-25 11:49:04 UTC; mike
Author: Michael Seo [aut, cre]
Maintainer: Michael Seo <swj8874@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-26 19:32:48 UTC

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Package smooth updated to version 3.1.5 with previous version 3.1.4 dated 2021-12-01

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2021, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package SimSurvey updated to version 0.1.4 with previous version 0.1.3 dated 2021-01-13

Title: Test Surveys by Simulating Spatially-Correlated Populations
Description: Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).
Author: Paul Regular [aut, cre] (<https://orcid.org/0000-0003-0318-2615>), Jonathan Babyn [ctb], Greg Robertson [ctb]
Maintainer: Paul Regular <Paul.Regular@dfo-mpo.gc.ca>

Diff between SimSurvey versions 0.1.3 dated 2021-01-13 and 0.1.4 dated 2022-01-26

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Package RcppHungarian updated to version 0.2 with previous version 0.1 dated 2019-08-02

Title: Solves Minimum Cost Bipartite Matching Problems
Description: Header library and R functions to solve minimum cost bipartite matching problem using Huhn-Munkres algorithm (Hungarian algorithm; <https://en.wikipedia.org/wiki/Hungarian_algorithm>; Kuhn (1955) <doi:10.1002/nav.3800020109>). This is a repackaging of code written by Cong Ma in the GitHub repo <https://github.com/mcximing/hungarian-algorithm-cpp>.
Author: Justin Silverman [aut, cre], Cong Ma [ctb, cph], Markus Buehren [ctb, cph]
Maintainer: Justin Silverman <JustinSilverman@psu.edu>

Diff between RcppHungarian versions 0.1 dated 2019-08-02 and 0.2 dated 2022-01-26

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Package quantreg updated to version 5.87 with previous version 5.86 dated 2021-06-06

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker (2006) <doi:10.1017/CBO9780511754098> and Koenker et al. (2017) <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Yousef Saad [ctb] (author of sparskit2), Victor Chernozhukov [ctb] (contributions to extreme value inference code), Ivan Fernandez-Val [ctb] (contributions to extreme value inference code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.86 dated 2021-06-06 and 5.87 dated 2022-01-26

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More information about quantreg at CRAN
Permanent link

Package nloptr updated to version 2.0.0 with previous version 1.2.2.3 dated 2021-11-02

Title: R Interface to NLopt
Description: Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See <https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/> for more information on the available algorithms. Building from included sources requires 'CMake'. On Linux and 'macOS', if a suitable system build of NLopt (2.7.0 or later) is found, it is used; otherwise, it is built from included sources via 'CMake'. On Windows, NLopt is obtained through 'rwinlib' for 'R <= 4.1.x' or grabbed from the 'Rtools42 toolchain' for 'R >= 4.2.0'.
Author: Jelmer Ypma [aut], Steven G. Johnson [aut] (author of the NLopt C library), Hans W. Borchers [ctb], Dirk Eddelbuettel [ctb], Brian Ripley [ctb] (build process on multiple OS), Kurt Hornik [ctb] (build process on multiple OS), Julien Chiquet [ctb], Avraham Adler [ctb] (removal deprecated calls from tests, <https://orcid.org/0000-0002-3039-0703>), Xiongtao Dai [ctb], Aymeric Stamm [ctb, cre] (<https://orcid.org/0000-0002-8725-3654>), Jeroen Ooms [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>

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More information about nloptr at CRAN
Permanent link

Package Kernelheaping updated to version 2.3.0 with previous version 2.2.8 dated 2021-05-11

Title: Kernel Density Estimation for Heaped and Rounded Data
Description: In self-reported or anonymised data the user often encounters heaped data, i.e. data which are rounded (to a possibly different degree of coarseness). While this is mostly a minor problem in parametric density estimation the bias can be very large for non-parametric methods such as kernel density estimation. This package implements a partly Bayesian algorithm treating the true unknown values as additional parameters and estimates the rounding parameters to give a corrected kernel density estimate. It supports various standard bandwidth selection methods. Varying rounding probabilities (depending on the true value) and asymmetric rounding is estimable as well: Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>). Additionally, bivariate non-parametric density estimation for rounded data, Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>), as well as data aggregated on areas is supported.
Author: Marcus Gross [aut, cre], Lukas Fuchs [aut], Kerstin Erfurth [ctb]
Maintainer: Marcus Gross <marcus.gross@inwt-statistics.de>

Diff between Kernelheaping versions 2.2.8 dated 2021-05-11 and 2.3.0 dated 2022-01-26

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Package JuliaConnectoR updated to version 1.1.1 with previous version 1.1.0 dated 2021-11-09

Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.
Author: Stefan Lenz [aut, cre] (<https://orcid.org/0000-0001-9135-1743>), Harald Binder [aut, ths] (<https://orcid.org/0000-0002-5666-8662>), Angelo D'Ambrosio [ctb] (<https://orcid.org/0000-0002-2045-5155>)
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>

Diff between JuliaConnectoR versions 1.1.0 dated 2021-11-09 and 1.1.1 dated 2022-01-26

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More information about JuliaConnectoR at CRAN
Permanent link

Package apollo updated to version 0.2.7 with previous version 0.2.6 dated 2021-11-08

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <http://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and Hess, S. & Daly, A.J. (2014) <isbn:978-1-781-00314-5> for an overview of the field.
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

Diff between apollo versions 0.2.6 dated 2021-11-08 and 0.2.7 dated 2022-01-26

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New package animint2 with initial version 2022.1.25
Package: animint2
Title: Animated Interactive Grammar of Graphics
Version: 2022.1.25
URL: https://github.com/tdhock/animint2
BugReports: https://github.com/tdhock/animint2/issues
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Depends: R (>= 3.4.0)
Imports: digest, RJSONIO, grid, gtable (>= 0.1.1), MASS, plyr (>= 1.7.1), reshape2, scales (>= 0.4.1), stats, tibble, lazyeval, knitr (>= 1.5.33)
Suggests: servr, gistr (>= 0.2), shiny, htmltools, rmarkdown, testthat, devtools, httr, maps, ggplot2movies, hexbin, Hmisc, lattice, mapproj, maptools, mgcv, nlme, rpart, svglite
Enhances: sp
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-01-26 16:00:44 UTC; th798
Author: Toby Hocking [aut, cre] (Original animint code), Hadley Wickham [aut] (Forked ggplot2 code), Winston Chang [aut] (Forked ggplot2 code), RStudio [cph] (Forked ggplot2 code), Nicholas Lewin-Koh [aut] (hexGrob), Martin Maechler [aut] (hexGrob), Randall Prium [aut] (cut_width), Susan VanderPlas [aut] (Animint GSOC 2013), Carson Sievert [aut] (Animint GSOC 2014), Kevin Ferris [aut] (Animint GSOC 2015), Jun Cai [aut] (Animint GSOC 2015), Faizan Khan [aut] (Animint GSOC 2016-2017), Vivek Kumar [aut] (Animint GSOC 2018), Himanshu Singh [aut] (Animint2 GSoC 2020)
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2022-01-26 18:22:47 UTC

More information about animint2 at CRAN
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Package reporter updated to version 1.2.9 with previous version 1.2.8 dated 2021-12-10

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF and HTML file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package MCMCglmm updated to version 2.33 with previous version 2.32 dated 2021-03-12

Title: MCMC Generalised Linear Mixed Models
Description: Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>

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Package l1spectral updated to version 0.99.6 with previous version 0.99.5 dated 2022-01-04

Title: An L1-Version of the Spectral Clustering
Description: Provides an l1-version of the spectral clustering algorithm devoted to robustly clustering highly perturbed graphs using l1-penalty. This algorithm is described with more details in the preprint C. Champion, M. Champion, M. Blazère, R. Burcelin and J.M. Loubes, "l1-spectral clustering algorithm: a spectral clustering method using l1-regularization" (2022).
Author: Camille Champion [aut], Magali Champion [aut, cre]
Maintainer: Magali Champion <magali.champion@u-paris.fr>

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Package RAthena updated to version 2.5.1 with previous version 2.5.0 dated 2022-01-17

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package poolr updated to version 1.1-1 with previous version 1.0-0 dated 2021-06-16

Title: Methods for Pooling P-Values from (Dependent) Tests
Description: Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher's method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method). An introduction can be found in Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.
Author: Ozan Cinar [aut, cre] (<https://orcid.org/0000-0003-0329-1977>), Wolfgang Viechtbauer [aut] (<https://orcid.org/0000-0003-3463-4063>)
Maintainer: Ozan Cinar <ozancinar86@gmail.com>

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Package noctua updated to version 2.5.1 with previous version 2.5.0 dated 2022-01-17

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package datawizard updated to version 0.2.3 with previous version 0.2.2 dated 2022-01-04

Title: Easy Data Wrangling
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Author: Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>, @bmwiernik)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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New package CPE with initial version 1.5.2
Package: CPE
Title: Concordance Probability Estimates in Survival Analysis
Version: 1.5.2
Depends: R (>= 3.0.0),survival,rms
Author: Qianxing Mo, Mithat Gonen and Glenn Heller
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>
Description: Functions to calculate concordance probability estimates in survival analysis.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-01-26 15:14:45 UTC; 4468133
Repository: CRAN
Date/Publication: 2022-01-26 16:42:48 UTC

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Package ClustAssess updated to version 0.3.0 with previous version 0.1.0 dated 2021-03-31

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Arash Shahsavari [aut, cre], Andi Munteanu [aut], Irina Mohorianu [aut]
Maintainer: Arash Shahsavari <as3006@cam.ac.uk>

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Package ompr updated to version 1.0.1 with previous version 1.0.0 dated 2022-01-26

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 magrittr updated to version 2.0.2 with previous version 2.0.1 dated 2020-11-17

Title: A Forward-Pipe Operator for R
Description: Provides a mechanism for chaining commands with a new forward-pipe operator, %>%. This operator will forward a value, or the result of an expression, into the next function call/expression. There is flexible support for the type of right-hand side expressions. For more information, see package vignette. To quote Rene Magritte, "Ceci n'est pas un pipe."
Author: Stefan Milton Bache [aut, cph] (Original author and creator of magrittr), Hadley Wickham [aut], Lionel Henry [cre], RStudio [cph, fnd]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package kvh updated to version 1.4.2 with previous version 1.4.1 dated 2019-04-29

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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More information about kvh at CRAN
Permanent link

Package collapse updated to version 1.7.3 with previous version 1.7.2 dated 2022-01-22

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and non-destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, unique values / rows, factor generation and interactions. Fast and flexible functions for data manipulation, data object conversions, and memory efficient R programming. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully custom data aggregation. (3) Advanced transformations: Fast row / column arithmetic, (grouped) replacing and sweeping out of statistics, (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects or polynomials), linear prediction, model fitting and testing exclusion restrictions. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences and (compounded) growth rates on (irregular) time series and panel data. Multivariate auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversions. (5) List processing: (Recursive) list search, splitting, extraction / subsetting, data-apply, and generalized recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between collapse versions 1.7.2 dated 2022-01-22 and 1.7.3 dated 2022-01-26

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More information about collapse at CRAN
Permanent link

Package QCA updated to version 3.14 with previous version 3.13 dated 2021-09-02

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean algorithm, resulting in a minimal causal configuration that explains a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>), Ciprian Paduraru [ctb] (<https://orcid.org/0000-0002-4518-374X>), jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/gui/www/lib/jquery-AUTHORS.txt), lp_solve [cph] (http://lpsolve.sourceforge.net), Vasil Dinkov [ctb, cph] (jquery.smartmenus.js library), Dmitry Baranovskiy [ctb, cph] (raphael.js library), Emmanuel Quentin [ctb, cph] (raphael.inline_text_editing.js library), Jimmy Breck-McKye [ctb, cph] (raphael-paragraph.js library), Alrik Thiem [aut] (from version 1.0-0 up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between QCA versions 3.13 dated 2021-09-02 and 3.14 dated 2022-01-26

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 QCA-3.14/QCA/NAMESPACE                                     |    1 
 QCA-3.14/QCA/R/XYplot.R                                    |    8 
 QCA-3.14/QCA/R/Xplot.R                                     |    6 
 QCA-3.14/QCA/R/allExpressions.R                            |   14 
 QCA-3.14/QCA/R/calibrate.R                                 |   11 
 QCA-3.14/QCA/R/causalChain.R                               |    9 
 QCA-3.14/QCA/R/combint.R                                   |    6 
 QCA-3.14/QCA/R/complexity.R                                |    6 
 QCA-3.14/QCA/R/createMatrix.R                              |    7 
 QCA-3.14/QCA/R/dimnames.R                                  |   14 
 QCA-3.14/QCA/R/findRows.R                                  |   10 
 QCA-3.14/QCA/R/findSubsets.R                               |    7 
 QCA-3.14/QCA/R/findSupersets.R                             |    7 
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 QCA-3.14/QCA/R/fuzzyand.R                                  |    6 
 QCA-3.14/QCA/R/fuzzyor.R                                   |    6 
 QCA-3.14/QCA/R/generate.R                                  |    6 
 QCA-3.14/QCA/R/getRow.R                                    |    7 
 QCA-3.14/QCA/R/getSolution.R                               |   10 
 QCA-3.14/QCA/R/makeChart.R                                 |   32 +
 QCA-3.14/QCA/R/minimize.R                                  |  258 +++++++++----
 QCA-3.14/QCA/R/modelFit.R                                  |   21 -
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 108 files changed, 1066 insertions(+), 697 deletions(-)

More information about QCA at CRAN
Permanent link

Package osmdata updated to version 0.1.9 with previous version 0.1.8 dated 2021-10-24

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Author: Mark Padgham [aut, cre], Bob Rudis [aut], Robin Lovelace [aut], Maëlle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Enrico Spinielli [ctb], Anthony North [ctb], Martin Machyna [ctb], Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Finkelstein Noam [ctb, cph] (Author of included stub.R code), Bartnik Lukasz [ctb, cph] (Author of included stub.R code)
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between osmdata versions 0.1.8 dated 2021-10-24 and 0.1.9 dated 2022-01-26

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 osmdata-0.1.9/osmdata/NAMESPACE                        |    1 
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More information about osmdata at CRAN
Permanent link

Package ompr updated to version 1.0.0 with previous version 0.8.1 dated 2020-12-04

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>

Diff between ompr versions 0.8.1 dated 2020-12-04 and 1.0.0 dated 2022-01-26

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Package lpdensity updated to version 2.3 with previous version 2.2 dated 2021-03-02

Title: Local Polynomial Density Estimation and Inference
Description: Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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Package h2o updated to version 3.36.0.2 with previous version 3.36.0.1 dated 2022-01-03

Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Description: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA, ModelSelection, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
Author: Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], Veronika Maurerova [ctb], H2O.ai [cph, fnd]
Maintainer: Erin LeDell <erin@h2o.ai>

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Package effectsize updated to version 0.6.0.1 with previous version 0.6.0 dated 2022-01-14

Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.
Author: Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>, @mattansb), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Brenton M. Wiernik [ctb] (<https://orcid.org/0000-0001-9560-6336>, @bmwiernik), Ken Kelley [ctb], David Stanley [ctb], Jessica Burnett [rev] (<https://orcid.org/0000-0002-0896-5099>), Johannes Karreth [rev] (<https://orcid.org/0000-0003-4586-7153>)
Maintainer: Mattan S. Ben-Shachar <matanshm@post.bgu.ac.il>

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Package td updated to version 0.0.6 with previous version 0.0.5 dated 2021-10-28

Title: Access to the 'twelvedata' Financial Data API
Description: The 'twelvedata' REST service offers access to current and historical data on stocks, standard as well as digital 'crypto' currencies, and other financial assets covering a wide variety of course and time spans. See <https://twelvedata.com/> for details, to create an account, and to request an API key for free-but-capped access to the data.
Author: Dirk Eddelbuettel and Kenneth Rose
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package metaumbrella updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-07

Title: Umbrella Review Package for R
Description: A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).
Author: Corentin J Gosling [aut, cre], Aleix Solanes [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Maintainer: Corentin J Gosling <cgosling@parisnanterre.fr>

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Package elasdics updated to version 0.1.5 with previous version 0.1.4 dated 2021-12-02

Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>

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Package aws.ecx updated to version 1.0.5 with previous version 1.0.4 dated 2021-04-04

Title: Communicating with AWS EC2 and ECS using AWS REST APIs
Description: Providing the functions for communicating with Amazon Web Services(AWS) Elastic Compute Cloud(EC2) and Elastic Container Service(ECS). The functions will have the prefix 'ecs_' or 'ec2_' depending on the class of the API. The request will be sent via the REST API and the parameters are given by the function argument. The credentials can be set via 'aws_set_credentials'. The EC2 documentation can be found at <https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Welcome.html> and ECS can be found at <https://docs.aws.amazon.com/AmazonECS/latest/APIReference/Welcome.html>.
Author: Jiefei Wang [aut, cre], Martin Morgan [aut]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

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Package tidywikidatar updated to version 0.5.0 with previous version 0.4.2 dated 2021-09-14

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local 'SQLite' database.
Author: Giorgio Comai [aut, cre, cph] (<https://orcid.org/0000-0002-0515-9542>), EDJNet [fnd]
Maintainer: Giorgio Comai <g@giorgiocomai.eu>

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Package restatapi updated to version 0.12.8 with previous version 0.12.3 dated 2021-10-07

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>

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Package meshed updated to version 0.2 with previous version 0.1.4 dated 2021-10-06

Title: Bayesian Regression with Meshed Gaussian Processes
Description: Fits Bayesian spatial or spatiotemporal multivariate regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) <doi:10.1080/01621459.2020.1833889>, Peruzzi, Banerjee, Dunson, and Finley (2021) <arXiv:2101.03579>, Peruzzi and Dunson (2022) <arXiv:2201.10080>. Funded by ERC grant 856506 and NIH grant R01ES028804.
Author: Michele Peruzzi
Maintainer: Michele Peruzzi <michele.peruzzi@duke.edu>

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Package covidsymptom updated to version 0.9.3 with previous version 0.9.2 dated 2021-03-31

Title: COVID Symptom Study Sweden Open Dataset
Description: The COVID Symptom Study is a non-commercial project that uses a free mobile app to facilitate real-time data collection of symptoms, exposures, and risk factors related to COVID19. The package allows easy access to summary statistics data from COVID Symptom Study Sweden.
Author: Hugo Fitipaldi [aut, cre]
Maintainer: Hugo Fitipaldi <hugo.fitipaldi@med.lu.se>

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Package ReplicationSuccess updated to version 1.2 with previous version 1.1.1 dated 2021-12-08

Title: Design and Analysis of Replication Studies
Description: Provides utilities for the design and analysis of replication studies. Features both traditional methods based on statistical significance and more recent methods such as the sceptical p-value; Held L. (2020) <doi:10.1111/rssa.12493>. Also provides related methods including the harmonic mean chi-squared test; Held, L. (2020), <doi:10.1111/rssc.12410>, and intrinsic credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains datasets from four large-scale replication projects.
Author: Leonhard Held [aut] (<https://orcid.org/0000-0002-8686-5325>), Samuel Pawel [cre, aut] (<https://orcid.org/0000-0003-2779-320X>), Charlotte Micheloud [aut] (<https://orcid.org/0000-0002-4995-4505>), Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>)
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>

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Package reticulate updated to version 1.24 with previous version 1.23 dated 2022-01-14

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package gpindex updated to version 0.4.2 with previous version 0.3.9 dated 2021-11-26

Title: Generalized Price and Quantity Indexes
Description: A small package for calculating lots of different price indexes, and by extension quantity indexes. Provides tools to build and work with any type of bilateral generalized-mean index (of which most price indexes are), along with a few important indexes that don't belong to the generalized-mean family (e.g., superlative quadratic-mean indexes, GEKS). Implements and extends many of the methods in Balk (2008, ISBN:978-1-107-40496-0), von der Lippe (2001, ISBN:3-8246-0638-0), and the CPI manual (2020, ISBN:978-1-51354-298-0) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph] (<https://orcid.org/0000-0003-2544-9480>)
Maintainer: Steve Martin <stevemartin041@gmail.com>

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Package marginaleffects updated to version 0.3.3 with previous version 0.3.2 dated 2022-01-18

Title: Marginal Effects, Marginal Means, Predictions, and Contrasts
Description: Compute, summarize, and plot marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models.
Author: Vincent Arel-Bundock [aut, cre, cph] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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 marginaleffects-0.3.3/marginaleffects/tests/testthat/test-pkg-robustlmm.R |only
 marginaleffects-0.3.3/marginaleffects/tests/testthat/test-tidy.R          |   28 
 marginaleffects-0.3.3/marginaleffects/vignettes/brms.html                 |only
 marginaleffects-0.3.3/marginaleffects/vignettes/predictions.Rmd           |   34 
 50 files changed, 1325 insertions(+), 672 deletions(-)

More information about marginaleffects at CRAN
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Package binsegRcpp updated to version 2022.1.24 with previous version 2021.11.3 dated 2022-01-20

Title: Efficient Implementation of Binary Segmentation
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between binsegRcpp versions 2021.11.3 dated 2022-01-20 and 2022.1.24 dated 2022-01-26

 DESCRIPTION           |    6 +++---
 MD5                   |    8 ++++----
 NEWS                  |    4 ++++
 R/random_set_vec.R    |    5 +----
 man/random_set_vec.Rd |    5 +----
 5 files changed, 13 insertions(+), 15 deletions(-)

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