Mon, 15 Apr 2024

Package tiledb updated to version 0.26.0 with previous version 0.25.0 dated 2024-03-20

Title: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays
Description: The modern database 'TileDB' introduces a powerful on-disk format for storing and accessing any complex data based on multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations. This package provides the R support.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

Diff between tiledb versions 0.25.0 dated 2024-03-20 and 0.26.0 dated 2024-04-15

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Package rjtools updated to version 1.0.13 with previous version 1.0.12 dated 2023-10-07

Title: Preparing, Checking, and Submitting Articles to the 'R Journal'
Description: Create an 'R Journal' 'Rmarkdown' template article, that will generate html and pdf versions of your paper. Check that the paper folder has all the required components needed for submission. Examples of 'R Journal' publications can be found at <https://journal.r-project.org>.
Author: Mitchell O'Hara-Wild [aut], Stephanie Kobakian [aut], H. Sherry Zhang [aut], Di Cook [aut, cre] , Simon Urbanek [aut], Christophe Dervieux [aut]
Maintainer: Di Cook <dicook@monash.edu>

Diff between rjtools versions 1.0.12 dated 2023-10-07 and 1.0.13 dated 2024-04-15

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New package SpaDES.tools with initial version 2.0.6
Package: SpaDES.tools
Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools. The suggested package 'NLMR' can be installed from the following repository: (<https://PredictiveEcology.r-universe.dev>).
URL: https://spades-tools.predictiveecology.org, https://github.com/PredictiveEcology/SpaDES.tools
Date: 2024-04-15
Version: 2.0.6
Depends: R (>= 4.2)
Imports: backports, checkmate (>= 1.8.2), data.table (>= 1.10.4), fpCompare (>= 0.2.1), graphics, methods, parallel, Rcpp (>= 0.12.12), reproducible (>= 2.0.9), stats, terra
Suggests: animation, bit (>= 1.1-12), covr, DEoptim (>= 2.2-4), dqrng, fastmatch, knitr, NLMR (>= 1.1.1), quickPlot (>= 1.0.2), raster (>= 2.5-8), rmarkdown, sf, sp (>= 1.2-4), testthat (>= 3.0.0), tools, withr
Encoding: UTF-8
Language: en-CA
LinkingTo: Rcpp
License: GPL-3
Additional_repositories: https://predictiveecology.r-universe.dev/
BugReports: https://github.com/PredictiveEcology/SpaDES.tools/issues
ByteCompile: yes
NeedsCompilation: yes
Packaged: 2024-04-15 20:50:20 UTC; achubaty
Author: Eliot J B McIntire [aut] , Alex M Chubaty [aut, cre] , Yong Luo [ctb], Ceres Barros [ctb] , Steve Cumming [ctb], Jean Marchal [ctb], His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>
Repository: CRAN
Date/Publication: 2024-04-15 21:30:11 UTC

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Package RcppArmadillo updated to version 0.12.8.2.1 with previous version 0.12.8.2.0 dated 2024-04-05

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.12.8.2.0 dated 2024-04-05 and 0.12.8.2.1 dated 2024-04-15

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Package opdisDownsampling updated to version 1.0.1 with previous version 1.0 dated 2024-04-14

Title: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data
Description: An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data.
Author: Jorn Lotsch [aut,cre] , Sebastian Malkusch [aut] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

Diff between opdisDownsampling versions 1.0 dated 2024-04-14 and 1.0.1 dated 2024-04-15

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Package mBvs updated to version 1.92 with previous version 1.6 dated 2023-02-06

Title: Bayesian Variable Selection Methods for Multivariate Data
Description: Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi:10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr
Maintainer: Kyu Ha Lee <klee15239@gmail.com>

Diff between mBvs versions 1.6 dated 2023-02-06 and 1.92 dated 2024-04-15

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Package intrinsicFRP updated to version 2.1.0 with previous version 2.0.1 dated 2024-01-08

Title: An R Package for Factor Model Asset Pricing
Description: Functions for evaluating and testing asset pricing models, including estimation and testing of factor risk premia, selection of "strong" risk factors (factors having nonzero population correlation with test asset returns), heteroskedasticity and autocorrelation robust covariance matrix estimation and testing for model misspecification and identification. The functions for estimating and testing factor risk premia implement the Fama-MachBeth (1973) <doi:10.1086/260061> two-pass approach, the misspecification-robust approaches of Kan-Robotti-Shanken (2013) <doi:10.1111/jofi.12035>, and the approaches based on tradable factor risk premia of Quaini-Trojani-Yuan (2023) <doi:10.2139/ssrn.4574683>. The functions for selecting the "strong" risk factors are based on the Oracle estimator of Quaini-Trojani-Yuan (2023) <doi:10.2139/ssrn.4574683> and the factor screening procedure of Gospodinov-Kan-Robotti (2014) <doi:10.2139/ssrn.2579821>. The functions for evaluating [...truncated...]
Author: Alberto Quaini [aut, cre, cph]
Maintainer: Alberto Quaini <alberto91quaini@gmail.com>

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Package apollo updated to version 0.3.2 with previous version 0.3.1 dated 2023-10-12

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 [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

Diff between apollo versions 0.3.1 dated 2023-10-12 and 0.3.2 dated 2024-04-15

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Package RCPA updated to version 0.2.2 with previous version 0.2.1 dated 2023-11-30

Title: Consensus Pathway Analysis
Description: Provides a set of functions to perform pathway analysis and meta analysis from multiple gene expression datasets, as well as visualization of the results. The package is a wrapper of the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu, Z. (2012) <https://CRAN.R-project.org/package=CePa>.
Author: Ha Nguyen [aut, cre], Zeynab Maghsoudi [aut], Phi Hung Bya [aut], Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@auburn.edu>

Diff between RCPA versions 0.2.1 dated 2023-11-30 and 0.2.2 dated 2024-04-15

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New package reproducible with initial version 2.0.12
Package: reproducible
Title: Enhance Reproducibility of R Code
Description: A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and has deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
SystemRequirements: 'unrar' (Linux/macOS) or '7-Zip' (Windows) to work with '.rar' files.
URL: https://reproducible.predictiveecology.org, https://github.com/PredictiveEcology/reproducible
Date: 2024-04-15
Version: 2.0.12
Depends: R (>= 4.1)
Imports: data.table (>= 1.10.4), digest, filelock, fpCompare, fs, lobstr, methods, stats, utils
Suggests: covr, crayon, DBI, future, geodata, glue, googledrive, httr, knitr, parallel, qs, raster (>= 3.5-15), RCurl (>= 1.95-4.8), rlang, rmarkdown, RSQLite, sf, sp (>= 1.4-2), terra (>= 1.7-20), testthat, withr
Encoding: UTF-8
Language: en-CA
License: GPL-3
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/PredictiveEcology/reproducible/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2024-04-15 16:06:14 UTC; emcintir
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2024-04-15 19:10:02 UTC

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Package inldata updated to version 1.1.5 with previous version 1.1.4 dated 2024-02-06

Title: Collection of Datasets for the USGS-INL Monitoring Networks
Description: A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to describe the effects of waste disposal on water contained in the eastern Snake River Plain aquifer, located in the southeastern part of Idaho, and the availability of water for long-term consumptive and industrial use. The package includes long-term monitoring records dating back to measurements from 1949. Geospatial data describing the areas from which samples were collected or observations were made are also included in the package. Bundling this data into a single package significantly reduces the magnitude of data processing for researchers and provides a way to distribute the data along with its docume [...truncated...]
Author: Jason C. Fisher [aut, cre] , Allison R. Trcka [aut] , Kerri C. Treinen [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

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Package f1dataR updated to version 1.5.2 with previous version 1.5.1 dated 2024-03-12

Title: Access Formula 1 Data
Description: Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/f1-live.html> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Author: Santiago Casanova [aut, cre, cph], Philip Bulsink [aut]
Maintainer: Santiago Casanova <santiago.casanova@yahoo.com>

Diff between f1dataR versions 1.5.1 dated 2024-03-12 and 1.5.2 dated 2024-04-15

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Package eia updated to version 0.4.2 with previous version 0.4.1 dated 2023-11-17

Title: API Wrapper for U.S. Energy Information Administration ('EIA') Open Data
Description: Provides API access to data from the U.S. Energy Information Administration ('EIA') <https://www.eia.gov/>. Use of the EIA's API and this package requires a free API key obtainable at <https://www.eia.gov/opendata/register.php>. This package includes functions for searching the EIA data directory and returning time series and geoset time series datasets. Datasets returned by these functions are provided by default in a tidy format, or alternatively, in more raw formats. It also offers helper functions for working with EIA date strings and time formats and for inspecting different summaries of series metadata. The package also provides control over API key storage and caching of API request results.
Author: Matthew Leonawicz [aut] , Matthew Hoff [aut, cre]
Maintainer: Matthew Hoff <matthew.g.hoff@gmail.com>

Diff between eia versions 0.4.1 dated 2023-11-17 and 0.4.2 dated 2024-04-15

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Package cdgd updated to version 0.3.5 with previous version 0.3.4 dated 2024-01-08

Title: Causal Decomposition of Group Disparities
Description: The framework of causal decomposition of group disparities developed by Yu and Elwert (2023) <doi:10.48550/arXiv.2306.16591>. This package implements the decomposition estimators that are based on efficient influence functions. For the nuisance functions of the estimators, both parametric and nonparametric options are provided, as well as manual options in case the default models are not satisfying.
Author: Ang Yu [aut, cre, cph]
Maintainer: Ang Yu <ang_yu@outlook.com>

Diff between cdgd versions 0.3.4 dated 2024-01-08 and 0.3.5 dated 2024-04-15

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Package adw updated to version 0.4.0 with previous version 0.3.1 dated 2023-05-22

Title: Angular Distance Weighting Interpolation
Description: The irregularly-spaced data are interpolated onto regular latitude-longitude grids by weighting each station according to its distance and angle from the center of a search radius. In addition to this, we also provide a simple way (Jones and Hulme, 1996) to grid the irregularly-spaced data points onto regular latitude-longitude grids by averaging all stations in grid-boxes.
Author: Panfeng Zhang [aut, cre] , Guoyu Ren [ctb], Yun Qin [ctb], Chenchen Ren [ctb], Xiang Zheng [ctb]
Maintainer: Panfeng Zhang <zhangpanfeng@jlnu.edu.cn>

Diff between adw versions 0.3.1 dated 2023-05-22 and 0.4.0 dated 2024-04-15

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Package adbcpostgresql updated to version 0.11.0.1 with previous version 0.11.0 dated 2024-04-02

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.11.0 dated 2024-04-02 and 0.11.0.1 dated 2024-04-15

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Package tensorflow updated to version 2.16.0 with previous version 2.15.0 dated 2024-01-31

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: JJ Allaire [aut, cph], Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], Dirk Eddelbuettel [ctb, cph], Yuan Tang [aut, cph] , Nick Golding [ctb, cph], Google Inc. [ctb, cph] , Posit, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@posit.co>

Diff between tensorflow versions 2.15.0 dated 2024-01-31 and 2.16.0 dated 2024-04-15

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New package zendown with initial version 0.0.2
Package: zendown
Title: Access Files from 'Zenodo' Deposits
Version: 0.0.2
Description: Access, download and locally cache files deposited on 'Zenodo' <https://zenodo.org>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: checkmate, cli, curl, fs, glue, httr2, RCurl, tibble, tidyr, tools, utils
Suggests: testthat (>= 3.0.0)
URL: https://rfsaldanha.github.io/zendown/
NeedsCompilation: no
Packaged: 2024-04-14 12:31:31 UTC; raphaelsaldanha
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>
Repository: CRAN
Date/Publication: 2024-04-15 16:00:02 UTC

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Package uwot updated to version 0.2.1 with previous version 0.1.16 dated 2023-06-29

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between uwot versions 0.1.16 dated 2023-06-29 and 0.2.1 dated 2024-04-15

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Package TwoWayFEWeights updated to version 2.0.2 with previous version 2.0.1 dated 2024-04-02

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description: Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions. Clément de Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut], Grant McDermott [ctb]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

Diff between TwoWayFEWeights versions 2.0.1 dated 2024-04-02 and 2.0.2 dated 2024-04-15

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New package recalibratiNN with initial version 0.2.0
Package: recalibratiNN
Title: Quantile Recalibration for Regression Models
Version: 0.2.0
Description: Enables the diagnostics and enhancement of calibration of regression models. It offers both global and local visualization tools to calibration diagnostics and provides one recalibration method : Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cmusso86/recalibratiNN, https://cmusso86.github.io/recalibratiNN/
BugReports: https://github.com/cmusso86/recalibratiNN/issues
Imports: stats(>= 4.3.0), dplyr(>= 1.0.0), ggplot2 (>= 3.0.0), purrr(>= 1.0.0), RANN(>= 2.0.0), tidyr(>= 1.0.0), tibble(>= 3.0.0), glue (>= 1.0.0), magrittr(>= 2.0.0), Hmisc (>= 5.0.0), Rdpack
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-13 12:23:41 UTC; carolinamusso
Author: Carolina Musso [aut, cre, cph] , Ricardo Torres [aut, cph] , Joao Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph]
Maintainer: Carolina Musso <cmusso86@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-15 15:50:02 UTC

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New package qtlDesign with initial version 0.953
Package: qtlDesign
Title: Design of QTL (Quantitative Trait Locus) Experiments
Version: 0.953
Date: 2024-04-12
Description: Design of QTL (quantitative trait locus) experiments involves choosing which strains to cross, the type of cross, genotyping strategies, phenotyping strategies, and the number of progeny to raise and phenotype. This package provides tools to help make such choices. Sen and others (2007) <doi:10.1007/s00335-006-0090-y>.
Maintainer: Saunak Sen <sen@uthsc.edu>
Author: Saunak Sen [aut, cre], Jaya Satagopan [ctb], Karl Broman [ctb], Gary Churchill [ctb], Brian Yandell [ctb]
License: GPL-3
URL: http://www.senresearch.org
Suggests: qtl
NeedsCompilation: no
Packaged: 2024-04-13 14:45:27 UTC; sen
Repository: CRAN
Date/Publication: 2024-04-15 15:50:05 UTC

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Package IDEAFilter updated to version 0.2.0 with previous version 0.1.2 dated 2022-06-28

Title: Agnostic, Idiomatic Data Filter Module for Shiny
Description: When added to an existing shiny app, users may subset any developer-chosen R data.frame on the fly. That is, users are empowered to slice & dice data by applying multiple (order specific) filters using the AND (&) operator between each, and getting real-time updates on the number of rows effected/available along the way. Thus, any downstream processes that leverage this data source (like tables, plots, or statistical procedures) will re-render after new filters are applied. The shiny module’s user interface has a 'minimalist' aesthetic so that the focus can be on the data & other visuals. In addition to returning a reactive (filtered) data.frame, 'IDEAFilter' as also returns 'dplyr' filter statements used to actually slice the data.
Author: Aaron Clark [aut, cre] , Jeff Thompson [aut], Doug Kelkhoff [ctb, cph] , Maya Gans [ctb], SortableJS contributors [ctb] , Biogen [cph]
Maintainer: Aaron Clark <clark.aaronchris@gmail.com>

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Package explore updated to version 1.3.0 with previous version 1.2.0 dated 2024-02-28

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

Diff between explore versions 1.2.0 dated 2024-02-28 and 1.3.0 dated 2024-04-15

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Permanent link

New package bartMan with initial version 0.1.0
Package: bartMan
Title: Create Visualisations for BART Models
Version: 0.1.0
Maintainer: Alan Inglis <alan.inglis@mu.ie>
Description: Investigating and visualising Bayesian Additive Regression Tree (BART) (Chipman, H. A., George, E. I., & McCulloch, R. E. 2010) <doi:10.1214/09-AOAS285> model fits. We construct conventional plots to analyze a model’s performance and stability as well as create new tree-based plots to analyze variable importance, interaction, and tree structure. We employ Value Suppressing Uncertainty Palettes (VSUP) to construct heatmaps that display variable importance and interactions jointly using colour scale to represent posterior uncertainty. Our visualisations are designed to work with the most popular BART R packages available, namely 'BART' Rodney Sparapani and Charles Spanbauer and Robert McCulloch 2021 <doi:10.18637/jss.v097.i01>, 'dbarts' (Vincent Dorie 2023) <https://CRAN.R-project.org/package=dbarts>, and 'bartMachine' (Adam Kapelner and Justin Bleich 2016) <doi:10.18637/jss.v070.i04>.
License: GPL (>= 2)
Imports: colorspace, cowplot, DendSer, dplyr, ggiraph, ggnewscale, ggplot2, ggraph, grid, grDevices, gtable, igraph, patchwork, purrr, rlang, rrapply, scales, stats, tidybayes, tidygraph, tidyr, tidytreatment, utils, tibble, BART, bartMachine, dbarts, rJava, cli
Suggests: ROCR, ggridges, ggforce, lvplot
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-13 14:42:50 UTC; alaninglis
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut], Claus Wilke [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-04-15 15:40:07 UTC

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Package saeczi updated to version 0.1.3 with previous version 0.1.2 dated 2024-03-28

Title: Small Area Estimation for Continuous Zero Inflated Data
Description: Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, <doi:10.1080/03610918.2011.598991>) introduce and describe this estimator and mean squared error estimator. White and others (2024+, <doi:10.48550/arXiv.2402.03263>) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.
Author: Josh Yamamoto [aut, cre], Dinan Elsyad [aut], Grayson White [aut], Julian Schmitt [aut], Niels Korsgaard [aut], Kelly McConville [aut], Kate Hu [aut]
Maintainer: Josh Yamamoto <joshuayamamoto5@gmail.com>

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Package modsem updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-23

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via by ModSEM it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8 [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between modsem versions 0.1.0 dated 2024-03-23 and 0.1.1 dated 2024-04-15

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Package jsmodule updated to version 1.5.3 with previous version 1.5.2 dated 2024-03-27

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut], Yoonkyoung Jeon [aut], Jaewoong Heo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package GPCERF updated to version 0.2.4 with previous version 0.2.3 dated 2024-03-02

Title: Gaussian Processes for Estimating Causal Exposure Response Curves
Description: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <doi:10.48550/arXiv.2105.03454>.
Author: Naeem Khoshnevis [aut] , Boyu Ren [aut, cre] , Tanujit Dey [ctb] , Danielle Braun [aut]
Maintainer: Boyu Ren <bren@mgb.org>

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Permanent link

Package bookdown updated to version 0.39 with previous version 0.38 dated 2024-03-04

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.38 dated 2024-03-04 and 0.39 dated 2024-04-15

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Package Rd2roxygen updated to version 1.16 with previous version 1.15 dated 2024-03-11

Title: Convert Rd to 'Roxygen' Documentation
Description: Functions to convert Rd to 'roxygen' documentation. It can parse an Rd file to a list, create the 'roxygen' documentation and update the original R script (e.g. the one containing the definition of the function) accordingly. This package also provides utilities that can help developers build packages using 'roxygen' more easily. The 'formatR' package can be used to reformat the R code in the examples sections so that the code will be more readable.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre]
Maintainer: Yihui Xie <xie@yihui.name>

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New package phonfieldwork with initial version 0.0.13
Package: phonfieldwork
Title: Linguistic Phonetic Fieldwork Tools
Version: 0.0.13
Depends: R (>= 3.5.0)
Imports: tuneR, phonTools, grDevices, utils, graphics, rmarkdown, xml2, readr, tools, mime
Description: There are a lot of different typical tasks that have to be solved during phonetic research and experiments. This includes creating a presentation that will contain all stimuli, renaming and concatenating multiple sound files recorded during a session, automatic annotation in 'Praat' TextGrids (this is one of the sound annotation standards provided by 'Praat' software, see Boersma & Weenink 2020 <https://www.fon.hum.uva.nl/praat/>), creating an html table with annotations and spectrograms, and converting multiple formats ('Praat' TextGrid, 'ELAN', 'EXMARaLDA', 'Audacity', subtitles '.srt', and 'FLEx' flextext). All of these tasks can be solved by a mixture of different tools (any programming language has programs for automatic renaming, and Praat contains scripts for concatenating and renaming files, etc.). 'phonfieldwork' provides a functionality that will make it easier to solve those tasks independently of any additional tools. You can also compare the functionality with ot [...truncated...]
License: GPL (>= 2)
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org
URL: https://CRAN.R-project.org/package=phonfieldwork, https://docs.ropensci.org/phonfieldwork/
BugReports: https://github.com/ropensci/phonfieldwork/issues
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, tidyr, dplyr, DT, lingtypology, testthat, readxl
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-15 04:08:49 UTC; agricolamz
Author: George Moroz [aut, cre] , Jonathan Keane [rev] , Niko Partanen [rev] , Valeria Buntiakova [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-15 13:20:02 UTC

More information about phonfieldwork at CRAN
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Package metap updated to version 1.10 with previous version 1.9 dated 2023-10-09

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package DImodelsMulti updated to version 1.1.0 with previous version 1.0.1 dated 2024-03-16

Title: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description: An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Author: Laura Byrne [aut, cre] , Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]
Maintainer: Laura Byrne <ByrneL54@tcd.ie>

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Package oolong updated to version 0.6.1 with previous version 0.6.0 dated 2024-02-10

Title: Create Validation Tests for Automated Content Analysis
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009, <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
Author: Chung-hong Chan [aut, cre] , Marius Saeltzer [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package rtables updated to version 0.6.7 with previous version 0.6.6 dated 2023-12-08

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package rlistings updated to version 0.2.8 with previous version 0.2.7 dated 2023-12-06

Title: Clinical Trial Style Data Readout Listings
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Joe Zhu [aut, cre], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between rlistings versions 0.2.7 dated 2023-12-06 and 0.2.8 dated 2024-04-15

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Permanent link

Package ggeffects updated to version 1.5.2 with previous version 1.5.1 dated 2024-03-26

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb] , Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between ggeffects versions 1.5.1 dated 2024-03-26 and 1.5.2 dated 2024-04-15

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Permanent link

Package tidyfst updated to version 1.7.8 with previous version 1.7.7 dated 2023-07-17

Title: Tidy Verbs for Fast Data Manipulation
Description: A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

Diff between tidyfst versions 1.7.7 dated 2023-07-17 and 1.7.8 dated 2024-04-15

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Package reticulate updated to version 1.36.0 with previous version 1.35.0 dated 2024-01-31

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: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between reticulate versions 1.35.0 dated 2024-01-31 and 1.36.0 dated 2024-04-15

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Permanent link

Package formatters updated to version 0.5.6 with previous version 0.5.5 dated 2023-12-06

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between formatters versions 0.5.5 dated 2023-12-06 and 0.5.6 dated 2024-04-15

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More information about formatters at CRAN
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Package d4storagehub4R updated to version 0.4-4 with previous version 0.4-3 dated 2023-03-01

Title: Interface to 'D4Science' 'StorageHub' API
Description: Provides an interface to 'D4Science' 'StorageHub' API (<https://dev.d4science.org/>). Allows to get user profile, and perform actions over the 'StorageHub' (workspace) including creation of folders, files management (upload/update/deletion/sharing), and listing of stored resources.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between d4storagehub4R versions 0.4-3 dated 2023-03-01 and 0.4-4 dated 2024-04-15

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Package RestRserve updated to version 1.2.2 with previous version 1.2.1 dated 2022-09-12

Title: A Framework for Building HTTP API
Description: Allows to easily create high-performance full featured HTTP APIs from R functions. Provides high-level classes such as 'Request', 'Response', 'Application', 'Middleware' in order to streamline server side application development. Out of the box allows to serve requests using 'Rserve' package, but flexible enough to integrate with other HTTP servers such as 'httpuv'.
Author: Dmitry Selivanov [aut, cre] , Artem Klevtsov [aut] , David Zimmermann [ctb], rexy.ai [cph, fnd]
Maintainer: Dmitry Selivanov <ds@rexy.ai>

Diff between RestRserve versions 1.2.1 dated 2022-09-12 and 1.2.2 dated 2024-04-15

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Package gpboost updated to version 1.4.0.1 with previous version 1.4.0 dated 2024-04-11

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.4.0 dated 2024-04-11 and 1.4.0.1 dated 2024-04-15

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More information about gpboost at CRAN
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Package blavaan updated to version 0.5-4 with previous version 0.5-3 dated 2024-01-19

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.
Author: Edgar Merkle [aut, cre] , Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb] , Terrence D. Jorgensen [ctb] , Huub Hoofs [ctb] , Rens van de Schoot [ctb] , Andrew Johnson [ctb] , Matthew Emery [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

Diff between blavaan versions 0.5-3 dated 2024-01-19 and 0.5-4 dated 2024-04-15

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More information about blavaan at CRAN
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