Wed, 22 Jun 2022

Package Rwhois updated to version 1.0.10 with previous version 1.0.9 dated 2022-01-22

Title: WHOIS Server Querying
Description: Queries data from WHOIS servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

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Package Rrdap updated to version 1.0.3 with previous version 1.0.2 dated 2022-02-08

Title: RDAP Server Querying
Description: Queries data from RDAP servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

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Package lobstr updated to version 1.1.2 with previous version 1.1.1 dated 2019-07-02

Title: Visualize R Data Structures with Trees
Description: A set of tools for inspecting and understanding R data structures inspired by str(). Includes ast() for visualizing abstract syntax trees, ref() for showing shared references, cst() for showing call stack trees, and obj_size() for computing object sizes.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between lobstr versions 1.1.1 dated 2019-07-02 and 1.1.2 dated 2022-06-22

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Package slurmR updated to version 0.5-2 with previous version 0.5-1 dated 2021-09-03

Title: A Lightweight Wrapper for 'Slurm'
Description: 'Slurm', Simple Linux Utility for Resource Management <https://slurm.schedmd.com/>, is a popular 'Linux' based software used to schedule jobs in 'HPC' (High Performance Computing) clusters. This R package provides a specialized lightweight wrapper of 'Slurm' with a syntax similar to that found in the 'parallel' R package. The package also includes a method for creating socket cluster objects spanning multiple nodes that can be used with the 'parallel' package.
Author: George Vega Yon [aut, cre] , Paul Marjoram [ctb, ths] , National Cancer Institute [fnd] , Michael Schubert [rev] , Michel Lang [rev]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package mrbin updated to version 1.6.5 with previous version 1.6.4 dated 2022-04-28

Title: Metabolomics Data Analysis Functions
Description: A collection of functions for processing and analyzing metabolite data. The namesake function "mrbin" converts 1D or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time. The function "fia" ranks features according to their impact on classifier models, especially artificial neural network models.
Author: Matthias Klein [aut, cre]
Maintainer: Matthias Klein <matthias.s.klein@gmx.net>

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Package LOGANTree updated to version 0.1.1 with previous version 0.1.0 dated 2022-03-29

Title: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Description: Enables researchers to model log-file data from computer-based assessments using machine-learning techniques. It allows researchers to generate new knowledge by comparing the performance of three tree-based classification models (i.e., decision trees, random forest, and gradient boosting) to predict student's outcome. It also contains a set of handful functions for the analysis of the features' influence on the modeling. Data from the Climate control item from the 2012 Programme for International Student Assessment (PISA, <https://www.oecd.org/pisa/>) is available for an illustration of the package's capability. He, Q., & von Davier, M. (2015) <doi:10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019) <doi:10.1201/9780367816377> .
Author: Denise Reis Costa [aut, ths], Qi Qin [aut, cre]
Maintainer: Qi Qin <logantreeqq@gmail.com>

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Package linea updated to version 0.0.2 with previous version 0.0.1 dated 2022-05-13

Title: Linear Regression Interface
Description: An interface to accelerate linear regression (Ordinary least squares) modelling, which allows users to build models quickly, while automatically generating interactive visualizations of the results. Non-linear models specification (e.g. y = b1*x1 + b2*log(x2)) can be easily constructed using user-defined transformations. Functions for testing wide ranges of model specifications (e.g. y = b*log(x,10) , y = b*log(x,20) , ...), all at once, are also available. Finally, models can be imported and exported as Excel files where all the information necessary for re-running the models is stored in separate sheets.
Author: Claudio Paladini [aut, cre]
Maintainer: Claudio Paladini <claudio.paladini@bath.edu>

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Package dail updated to version 1.3.2 with previous version 1.3.1 dated 2022-06-15

Title: Data from Access to Information Law
Description: Downloads the public data available from the Brazilian Access to Information Law and and performs a search on information requests and appeals made since 2015.
Author: Igor Laltuf [aut, cre]
Maintainer: Igor Laltuf <igorlaltuf@gmail.com>

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Package CausalGPS updated to version 0.2.8 with previous version 0.2.7 dated 2022-02-07

Title: Matching on Generalized Propensity Scores with Continuous Exposures
Description: Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2018. Matching on generalized propensity scores with continuous exposures. arXiv preprint <arXiv:1812.06575>.
Author: Naeem Khoshnevis [aut, cre] , Xiao Wu [aut] , Danielle Braun [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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Package cargo updated to version 0.2.6 with previous version 0.2.5 dated 2022-06-18

Title: Develop R Packages using Rust
Description: A framework is provided to develop R packages using 'Rust' <https://www.rust-lang.org/> with minimal overhead, and more wrappers are easily added. Help is provided to run 'Cargo' <https://doc.rust-lang.org/cargo/> in a manner consistent with CRAN policies. Rust code can also be embedded directly in an R script. The package is not official, affiliated with, nor endorsed by the Rust project.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package rdaisi updated to version 0.1.1 with previous version 0.1 dated 2022-06-09

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

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Package mlr3spatiotempcv updated to version 2.0.1 with previous version 2.0.0 dated 2022-06-14

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package webdeveloper updated to version 1.0.0 with previous version 0.1.0 dated 2021-02-05

Title: Functions for Web Development
Description: Organizational framework for web development in R including functions to serve static and dynamic content via HTTP methods, includes the html5 package to create HTML pages, and offers other utility functions for common tasks related to web development.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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New package Sieve with initial version 1.0
Package: Sieve
Title: Nonparametric Estimation by the Method of Sieves
Version: 1.0
Date: 2022-05-27
Author: Tianyu Zhang
Maintainer: Tianyu Zhang <zty@uw.edu>
Description: Performs multivariate nonparametric regression/classification by the method of sieves (or using orthogonal series). The method is suitable for continuous/binary problems with multivariate or moderate high-dimensional features (dimension < 100). The main estimator in this package, penalized sieve estimator, is adaptive to the feature dimension with provable theoretical guarantees. Moreover, such a method is computationally tractable in the sense it typically has a polynomial dependence (rather than an exponential one) on the feature dimension and an almost linear dependence on the sample size. Details of the methods and model assumptions can be found in: Tianyu Zhang, and Noah Simon (2022) <arXiv:2206.02994>.
License: GPL-2
Imports: Rcpp (>= 1.0.7), combinat, glmnet, methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-06-21 17:45:46 UTC; tianyu
Repository: CRAN
Date/Publication: 2022-06-22 19:20:08 UTC

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New package PRECAST with initial version 1.0
Package: PRECAST
Title: Embedding and Clustering with Alignment for Spatial Datasets
Version: 1.0
Date: 2022-06-21
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <wei.liu@duke-nus.edu.sg>
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2022) <doi:10.1093/nar/gkac219>.
License: GPL-3
Depends: parallel, gtools, R (>= 4.0.0)
Imports: GiRaF, MASS, Matrix, mclust, methods, purrr, utils, S4Vectors, RColorBrewer, Seurat, cowplot, scater, pbapply, patchwork, ggthemes, dplyr, ggplot2, stats, DR.SC, scales, ggrastr, Rcpp (>= 1.0.5)
LazyData: true
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-21 03:12:50 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2022-06-22 19:10:03 UTC

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New package oddsapiR with initial version 0.0.1
Package: oddsapiR
Title: Access Live Sports Odds from the Odds API
Version: 0.0.1
Description: A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>.
License: MIT + file LICENSE
URL: https://oddsapiR.sportsdataverse.org/ (docs), https://github.com/sportsdataverse/oddsapiR (repo)
BugReports: https://github.com/sportsdataverse/oddsapiR/issues
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Depends: R (>= 4.0.0)
Imports: cli (>= 1.1.0), data.table (>= 1.14.0), dplyr, glue, httr (>= 0.5), janitor, jsonlite, magrittr, rlang (>= 0.4.0), rvest (>= 1.0.0), tidyr (>= 1.0.0)
Suggests: crayon (>= 1.3.4), curl, DBI, ggplot2, ggrepel, gt, knitr, progressr (>= 0.6.0), purrr (>= 0.3.0), qs (>= 0.25.1), Rcpp (>= 1.0.7), RcppParallel (>= 5.1.4), rmarkdown, RSQLite, stats, stringi, stringr (>= 1.3.0), testthat, tibble (>= 3.0), usethis (>= 1.6.0), xml2 (>= 1.3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-21 17:40:29 UTC; sgilani
Author: Saiem Gilani [aut, cre]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 19:20:02 UTC

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New package fakmct with initial version 0.1.0
Package: fakmct
Title: Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
Version: 0.1.0
Author: Alfi Nurrahmah [aut, cre] Budi Yuniarto [aut]
Maintainer: Alfi Nurrahmah <221810140@stis.ac.id>
Description: A set of function for clustering data observation with hybrid method Fuzzy ART and K-Means by Sengupta, Ghosh & Dan (2011) <doi:10.1080/0951192X.2011.602362>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: <https://github.com/alfinurrahmah/fakmct>
Imports: stats
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-06-21 08:50:03 UTC; ALFI
Repository: CRAN
Date/Publication: 2022-06-22 19:20:05 UTC

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New package censored with initial version 0.1.0
Package: censored
Title: 'parsnip' Engines for Survival Models
Version: 0.1.0
Description: Engines for survival models from the 'parsnip' package. These include parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g., Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
License: MIT + file LICENSE
URL: https://github.com/tidymodels/censored
BugReports: https://github.com/tidymodels/censored/issues
Depends: parsnip (>= 1.0.0), R (>= 3.5.0), survival (>= 3.3-1)
Imports: dials, dplyr (>= 0.8.0.1), generics, glue, hardhat (>= 1.1.0), mboost, prettyunits, purrr, rlang (>= 1.0.0), stats, tibble (>= 3.1.3), tidyr (>= 1.0.0)
Suggests: coin, covr, flexsurv (>= 2.2), glmnet (>= 4.1), ipred, partykit, pec, rmarkdown, rpart, testthat (>= 3.0.0)
Config/Needs/website: tidymodels, tidymodels/parsnip, tidyverse/tidytemplate
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-21 20:04:37 UTC; hannah
Author: Emil Hvitfeldt [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>
Repository: CRAN
Date/Publication: 2022-06-22 19:30:02 UTC

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Package bsTools updated to version 1.0.0 with previous version 0.1.0 dated 2021-02-09

Title: Create HTML Content with Bootstrap 5 Classes and Layouts
Description: Functions are pre-configured to utilize Bootstrap 5 classes and HTML structures to create Bootstrap-styled HTML quickly and easily. Includes functions for creating common Bootstrap elements such as containers, rows, cols, navbars, etc. Intended to be used with the html5 package. Learn more at <https://getbootstrap.com/>.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

Diff between bsTools versions 0.1.0 dated 2021-02-09 and 1.0.0 dated 2022-06-22

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Package SCIBER updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-28

Title: Single-Cell Integrator and Batch Effect Remover
Description: Remove batch effects by projecting query batches into the reference batch space.
Author: Dailin Gan [aut, cre] , Jun Li [aut]
Maintainer: Dailin Gan <dgan@nd.edu>

Diff between SCIBER versions 0.1.1 dated 2022-04-28 and 0.1.2 dated 2022-06-22

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Package rconfig updated to version 0.1.3 with previous version 0.1.2 dated 2022-04-15

Title: Manage R Configuration at the Command Line
Description: Configuration management using files (JSON, YAML, separated text), JSON strings, and command line arguments. Command line arguments can be used to override configuration. Period-separated command line flags are parsed as hierarchical lists.
Author: Peter Solymos [aut, cre] , Analythium Solutions Inc. [cph, fnd]
Maintainer: Peter Solymos <peter@analythium.io>

Diff between rconfig versions 0.1.2 dated 2022-04-15 and 0.1.3 dated 2022-06-22

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Package Xplortext updated to version 1.5.1 with previous version 1.4.1 dated 2021-01-14

Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
Author: Monica Becue-Bertaut, Ramon Alvarez-Esteban, Josep-Anton Sanchez-Espigares, Belchin Kostov
Maintainer: Ramon Alvarez-Esteban <ramon.alvarez@unileon.es>

Diff between Xplortext versions 1.4.1 dated 2021-01-14 and 1.5.1 dated 2022-06-22

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Package tergm updated to version 4.1.0 with previous version 4.0.2 dated 2021-07-28

Title: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Description: An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis. See Krivitsky and Handcock (2014) <doi:10.1111/rssb.12014> and Carnegie, Krivitsky, Hunter, and Goodreau (2015) <doi:10.1080/10618600.2014.903087>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package SEMsens updated to version 1.0.5 with previous version 1.0.3 dated 2022-04-29

Title: A Tool for Sensitivity Analysis in Structural Equation Modeling
Description: Perform sensitivity analysis in structural equation modeling using meta-heuristic optimization methods (e.g., ant colony optimization and others). The references for the proposed methods are: (1) Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). <doi:10.1080/10705511.2021.1881786> (2) Harring, J. R., McNeish, D. M., & Hancock, G. R. (2017) <doi:10.1080/10705511.2018.1506925>; (3) Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2022). <doi:10.1177/00131644211073121>; (4) Socha, K., & Dorigo, M. (2008) <doi:10.1016/j.ejor.2006.06.046>. We also thank Dr. Krzysztof Socha for sharing his research on ant colony optimization algorithm with continuous domains and associated R code, which provided the base for the development of this package.
Author: Walter Leite [aut, cre], Zuchao Shen [aut], Charles Fisk [aut], Gail Fish [ctb], YongSeok Lee [ctb], Sanaz Nazari [ctb], Jia Quan [ctb], Eric Wright [ctb], Huibin Zhang [ctb]
Maintainer: Walter Leite <walter.leite@coe.ufl.edu>

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Package excluder updated to version 0.4.0 with previous version 0.3.3 dated 2021-12-03

Title: Checks for Exclusion Criteria in Online Data
Description: Data that are collected through online sources such as Mechanical Turk may require excluding rows because of IP address duplication, geolocation, or completion duration. This package facilitates exclusion of these data for Qualtrics datasets.
Author: Jeffrey R. Stevens [aut, cre, cph] , Joseph O'Brien [rev] , Julia Silge [rev]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

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Package epm updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-19

Title: EcoPhyloMapper
Description: Facilitates the aggregation of species' geographic ranges from vector or raster spatial data, and that enables the calculation of various morphological and phylogenetic community metrics across geography. Citation: Title, PO, DL Swiderski and ML Zelditch (2022) <doi:10.1111/2041-210X.13914>.
Author: Pascal Title [aut, cre] , Donald Swiderski [aut], Miriam Zelditch [aut]
Maintainer: Pascal Title <pascal.title@stonybrook.edu>

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Package MonteCarloSEM updated to version 0.0.5 with previous version 0.0.4 dated 2022-05-26

Title: Monte Carlo Data Simulation Package
Description: Monte Carlo simulation allows to test different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test can also be run. Please cite as "Orçan, F. (2021). MonteCarloSEM: An R Package to Simulate Data for SEM. International Journal of Assessment Tools in Education, 8 (3), 704-713."
Author: Fatih Orcan [aut, cre]
Maintainer: Fatih Orcan <fatihorcan84@gmail.com>

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Package Compositional updated to version 5.7 with previous version 5.6 dated 2022-05-11

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. Fourth International International Workshop on Compositional Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 6(2):47--57. e) Tsagris M., Preston S. and Wood A.T.A. (2016). Improved supervised classification for compositional data using the alpha-transformation. Journal of Classification, 33(2):243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M., Preston S. and Wood A.T.A. (2017). Nonparametric hypothesis testing for equality of means on the simplex. Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart C. (2018). A Dirichlet regression model for compositional data with zeros. Lobachevskii Journal of Mathematics, 39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). Regression for compositional data with compositional data as predictor variables with or without zero values. Journal of Data Science, 17(1): 219--238. <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2):249--277. <doi:10.1111/anzs.12289>. j) Tsagris M., Alenazi A. and Stewart C. (2021). Non-parametric regression models for compositional data. <arXiv:2002.05137>. k) Alenazi A. (2021). Alenazi, A. (2021). A review of compositional data analysis and recent advances. Communications in Statistics-Theory and Methods (Accepted for publication). <doi:10.1080/03610926.2021.2014890>. We further include functions for percentages (or proportions).
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package pencal updated to version 1.2.1 with previous version 1.2.0 dated 2022-05-30

Title: Penalized Regression Calibration (PRC)
Description: Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (2021, <doi:10.1002/sim.9178>)).
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package pedmod updated to version 0.2.3 with previous version 0.2.2 dated 2022-05-27

Title: Pedigree Models
Description: Provides functions to estimate mixed probit models using, for instance, pedigree data like in <doi:10.1002/sim.1603>. The models are also commonly called liability threshold models. The approximation is based on direct log marginal likelihood approximations like the randomized Quasi-Monte Carlo suggested by <doi:10.1198/106186002394> with a similar procedure to approximate the derivatives. The minimax tilting method suggested by <doi:10.1111/rssb.12162> is also supported. Graph-based methods are also provided that can be used to simplify pedigrees.
Author: Benjamin Christoffersen [cre, aut] , Alan Genz [cph], Frank Bretz [cph], Bjoern Bornkamp [cph], Torsten Hothorn [cph], Christophe Dutang [cph], Diethelm Wuertz [cph], R-core [cph], Leo Belzile [cph], Zdravko Botev [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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More information about pedmod at CRAN
Permanent link

New package MasterBayes with initial version 2.58
Package: MasterBayes
Title: ML and MCMC Methods for Pedigree Reconstruction and Analysis
Version: 2.58
Depends: coda, genetics, gtools, kinship2
Imports: methods, stats
Date: 2022-06-22
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>
Description: The primary aim of 'MasterBayes' is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-06-22 11:50:01 UTC; jhadfiel
Repository: CRAN
Date/Publication: 2022-06-22 13:00:10 UTC

More information about MasterBayes at CRAN
Permanent link

Package fairadapt updated to version 0.2.3 with previous version 0.2.2 dated 2022-04-28

Title: Fair Data Adaptation with Quantile Preservation
Description: An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <arXiv:1911.06685>. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
Author: Drago Plecko [aut, cre], Nicolas Bennett [aut]
Maintainer: Drago Plecko <drago.plecko@stat.math.ethz.ch>

Diff between fairadapt versions 0.2.2 dated 2022-04-28 and 0.2.3 dated 2022-06-22

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More information about fairadapt at CRAN
Permanent link

Package RcmdrPlugin.TeachStat updated to version 1.1.1 with previous version 1.1.0 dated 2020-12-04

Title: R Commander Plugin for Teaching Statistical Methods
Description: R Commander plugin for teaching statistical methods. It adds a new menu for making easier the teaching of the main concepts about the main statistical methods.
Author: Tom<e1>s R. Cotos Ya<f1>ez [aut] , Manuel A. Mosquera Rodr<ed>guez [aut, cre] , Ana P<e9>rez Gonz<e1>lez [aut] , Benigno Reguengo Lareo [aut]
Maintainer: Manuel A. Mosquera Rodr<ed>guez <mamrguez@uvigo.es>

Diff between RcmdrPlugin.TeachStat versions 1.1.0 dated 2020-12-04 and 1.1.1 dated 2022-06-22

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Permanent link

Package rb3 updated to version 0.0.4 with previous version 0.0.3 dated 2022-05-29

Title: Download and Parse Public Data Released by B3 Exchange
Description: Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Author: Wilson Freitas [aut, cre], Marcelo Perlin [aut]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rb3 versions 0.0.3 dated 2022-05-29 and 0.0.4 dated 2022-06-22

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Permanent link

Package bizdays updated to version 1.0.11 with previous version 1.0.10 dated 2022-05-10

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between bizdays versions 1.0.10 dated 2022-05-10 and 1.0.11 dated 2022-06-22

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More information about bizdays at CRAN
Permanent link

Package spant updated to version 2.0.0 with previous version 1.22.0 dated 2022-05-27

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

Diff between spant versions 1.22.0 dated 2022-05-27 and 2.0.0 dated 2022-06-22

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More information about spant at CRAN
Permanent link

Package smcfcs updated to version 1.7.0 with previous version 1.6.2 dated 2022-05-16

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

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New package Clustering with initial version 1.7.7
Package: Clustering
Title: Techniques for Evaluating Clustering
Version: 1.7.7
Date: 2022-06-06
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
URL: https://github.com/laperez/clustering
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: amap, apcluster, cluster, ClusterR, data.table, doParallel, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal
Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
NeedsCompilation: no
Packaged: 2022-06-14 19:05:39 UTC; luis
Date/Publication: 2022-06-22 09:40:12 UTC

More information about Clustering at CRAN
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Package clime updated to version 0.5.0 with previous version 0.4.1 dated 2012-05-06

Title: Constrained L1-Minimization for Inverse (Covariance) Matrix Estimation
Description: A robust constrained L1 minimization method for estimating a large sparse inverse covariance matrix (aka precision matrix), and recovering its support for building graphical models. The computation uses linear programming. The method was published in TT Cai, W Liu, X Luo (2011) <doi:10.1198/jasa.2011.tm10155>.
Author: T. Tony Cai, Weidong Liu and Xi Luo
Maintainer: Xi (Rossi) Luo <xi.rossi.luo@gmail.com>

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Package SqueakR updated to version 1.2.5 with previous version 1.0.0 dated 2022-06-17

Title: An Experiment Interface for 'DeepSqueak' Bioacoustics Research
Description: Data processing and visualizations for rodent vocalizations exported from 'DeepSqueak'. These functions are compatible with the 'SqueakR' Shiny Dashboard, which can be used to visualize experimental results and analyses.
Author: Simon Ogundare [aut, cre]
Maintainer: Simon Ogundare <simon.ogundare@columbia.edu>

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Package saeHB.ZIB updated to version 0.1.1 with previous version 0.1.0 dated 2022-03-23

Title: Small Area Estimation using Hierarchical Bayesian under Zero Inflated Binomial Distribution
Description: Provides function for area level of small area estimation using hierarchical Bayesian (HB) method with Zero-Inflated Binomial distribution for variables of interest. Some dataset produced by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean.
Author: Rizqina Rahmati, Azka Ubaidillah
Maintainer: Rizqina Rahmati <221810583@stis.ac.id>

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Package rEDM updated to version 1.13.0 with previous version 1.12.2 dated 2022-06-01

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] , Cameron Smith [aut] , George Sugihara [aut, ccp] , Ethan Deyle [aut] , Erik Saberski [ctb] , Hao Ye [ctb] , The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

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Package mvgb updated to version 0.0.3 with previous version 0.0.2 dated 2022-03-30

Title: Multivariate Probabilities of Scale Mixtures of Multivariate Normal Distributions via the Genz and Bretz (2002) QRSVN Method
Description: Generates multivariate subgaussian stable probabilities using the QRSVN algorithm as detailed in Genz and Bretz (2002) <DOI:10.1198/106186002394> but by sampling positive stable variates not chi/sqrt(nu).
Author: Alan Genz [aut] , Bruce Swihart [aut, cre]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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Package microeco updated to version 0.11.0 with previous version 0.10.1 dated 2022-05-30

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package html5 updated to version 1.0.0 with previous version 0.1.0 dated 2021-01-13

Title: Creates Valid HTML5 Strings
Description: Generates valid HTML tag strings for HTML5 elements documented by Mozilla. Attributes are passed as named lists, with names being the attribute name and values being the attribute value. Attribute values are automatically double-quoted. To declare a DOCTYPE, wrap html() with function doctype(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package clintools updated to version 0.9.4 with previous version 0.9.3 dated 2022-02-12

Title: Tools for Clinical Research
Description: Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [ctb], Ronan Berg [ctb], Kirsten Moeller [ctb], Janus Christian Jakobsen [ctb], Aksel Karl Georg Jensen [ctb]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

Diff between clintools versions 0.9.3 dated 2022-02-12 and 0.9.4 dated 2022-06-22

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New package bapred with initial version 1.1
Package: bapred
Title: Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data)
Version: 1.1
Date: 2022-06-21
Author: Roman Hornung, David Causeur
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Depends: R (>= 3.1.0), glmnet, lme4, MASS, sva, affyPLM
Imports: FNN, fuzzyRankTests, methods, mnormt, affy, Biobase
Suggests: ArrayExpress
Description: Various tools dealing with batch effects, in particular enabling the removal of discrepancies between training and test sets in prediction scenarios. Moreover, addon quantile normalization and addon RMA normalization (Kostka & Spang, 2008) is implemented to enable integrating the quantile normalization step into prediction rules. The following batch effect removal methods are implemented: FAbatch, ComBat, (f)SVA, mean-centering, standardization, Ratio-A and Ratio-G. For each of these we provide an additional function which enables a posteriori ('addon') batch effect removal in independent batches ('test data'). Here, the (already batch effect adjusted) training data is not altered. For evaluating the success of batch effect adjustment several metrics are provided. Moreover, the package implements a plot for the visualization of batch effects using principal component analysis. The main functions of the package for batch effect adjustment are ba() and baaddon() which enable batch effect removal and addon batch effect removal, respectively, with one of the seven methods mentioned above. Another important function here is bametric() which is a wrapper function for all implemented methods for evaluating the success of batch effect removal. For (addon) quantile normalization and (addon) RMA normalization the functions qunormtrain(), qunormaddon(), rmatrain() and rmaaddon() can be used.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-21 17:44:28 UTC; hornung
Repository: CRAN
Date/Publication: 2022-06-22 08:20:13 UTC

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Package asymmetry updated to version 2.0.4 with previous version 2.0.3 dated 2021-01-22

Title: Multidimensional Scaling of Asymmetric Proximities
Description: Multidimensional scaling models and methods for the visualization and analysis of asymmetric proximity data <doi:10.1111/j.2044-8317.1996.tb01078.x>. An asymmetric data matrix has the same number of rows and columns, and these rows and columns refer to the same set of objects. At least some elements in the upper-triangle are different from the corresponding elements in the lower triangle. An example of an asymmetric matrix is a student migration table, where the rows correspond to the countries of origin of the students and the columns to the destination countries. This package provides algorithms for three multidimensional scaling models. These are the slide-vector model <doi:10.1007/BF02294474>, a scaling model with unique dimensions and the asymscal model for asymmetric multidimensional scaling. Furthermore, a heat map for skew-symmetric data, and the decomposition of asymmetry are provided for the exploratory analysis of asymmetric tables.
Author: Berrie Zielman
Maintainer: Berrie Zielman <berrie.zielman@gmail.com>

Diff between asymmetry versions 2.0.3 dated 2021-01-22 and 2.0.4 dated 2022-06-22

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Package statpsych updated to version 1.1.0 with previous version 1.0.0 dated 2021-09-09

Title: Statistical Methods for Psychologists
Description: Implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details see: Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

Diff between statpsych versions 1.0.0 dated 2021-09-09 and 1.1.0 dated 2022-06-22

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 tests/testthat/test_statpsych1.R |  132 ++++++
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 93 files changed, 1742 insertions(+), 558 deletions(-)

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New package splutil with initial version 2022.6.20
Package: splutil
Title: Utility Functions for Common Base-R Problems Relating to Lists
Version: 2022.6.20
Description: Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
URL: https://docs.sykdomspulsen.no/splutil/, https://github.com/sykdomspulsen-org/splutil
BugReports: https://github.com/sykdomspulsen-org/splutil/issues
Encoding: UTF-8
Imports: data.table, magrittr, ggplot2
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-20 05:36:21 UTC; RIWH
Author: Richard Aubrey White [aut, cre] , Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <sykdomspulsen@fhi.no>
Repository: CRAN
Date/Publication: 2022-06-22 07:10:02 UTC

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New package sjtable2df with initial version 0.0.2
Package: sjtable2df
Title: Convert 'sjPlot' HTML-Tables to R 'data.frame'
Version: 0.0.2
Description: A small set of helper functions to convert 'sjPlot' HTML-tables to R data.frame objects / knitr::kable-tables.
License: GPL (>= 3)
URL: https://github.com/kapsner/sjtable2df
BugReports: https://github.com/kapsner/sjtable2df/issues
Depends: R (>= 2.10)
Imports: data.table, kableExtra, magrittr, rlang, rvest, xml2
Suggests: knitr, lintr, lme4, mlbench, rmarkdown, sjPlot, stats, testthat (>= 3.0.1)
VignetteBuilder: knitr
Date/Publication: 2022-06-22 07:50:02 UTC
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 17:28:01 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN

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New package roads with initial version 1.0.0
Package: roads
Title: Road Network Projection
Version: 1.0.0
Date: 2023-03-11
URL: https://github.com/LandSciTech/roads, https://landscitech.github.io/roads/
Description: Project road network development based on an existing road network, target locations to be connected by roads and a cost surface. Road projection methods include minimum spanning tree with least cost path (Kruskal’s algorithm (1956) <doi:10.2307/2033241>), least cost path (Dijkstra's algorithm (1959) <doi:10.1007/BF01386390>) or snapping. These road network projection methods are ideal for use with land cover change projection models.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports: raster, dplyr, igraph, sp, data.table, SpaDES.tools, sf, stars, units, rlang, methods, tidyselect
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, viridis
VignetteBuilder: knitr
Depends: R (>= 2.10)
BugReports: https://github.com/LandSciTech/roads/issues
NeedsCompilation: no
Packaged: 2022-06-20 16:30:48 UTC; HughesJo
Author: Sarah Endicott [aut] , Kyle Lochhead [aut], Josie Hughes [aut, cre], Patrick Kirby [aut], Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment [cph] , Province of British Columbia [cph]
Maintainer: Josie Hughes <josie.hughes@ec.gc.ca>
Repository: CRAN
Date/Publication: 2022-06-22 07:40:07 UTC

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New package qmvs with initial version 0.1.1
Package: qmvs
Version: 0.1.1
Title: Queueing Model of Visual Search
Author: Martin Schlather [aut, cre], Yiqi Li [aut, cre]
Description: The queueing model of visual search models the accuracy and response time data in a visual search experiment using queueing models with finite customer population and stopping criteria of completing the service for finite number of customers. It implements the conceptualization of a hybrid model proposed by Moore and Wolfe (2001), in which visual stimuli enter the processing one after the other and then are identified in parallel. This package provides functions that simulate the specified queueing process and calculate the Wasserstein distance between the empirical response times and the model prediction.
Maintainer: Martin Schlather <martin.schlather@uni-mannheim.de>
Imports: stats
Depends: R (>= 3.0)
Suggests:
License: GPL (>= 3)
NeedsCompilation: yes
URL: https://www.wim.uni-mannheim.de/schlather
Packaged: 2022-06-20 12:16:32 UTC; schlather
Repository: CRAN
Date/Publication: 2022-06-22 07:20:02 UTC

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Package PLmixed updated to version 0.1.6 with previous version 0.1.5 dated 2020-12-14

Title: Estimate (Generalized) Linear Mixed Models with Factor Structures
Description: Utilizes the 'lme4' and 'optimx' packages (previously the optim() function from 'stats') to estimate (generalized) linear mixed models (GLMM) with factor structures using a profile likelihood approach, as outlined in Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>. Factor analysis and item response models can be extended to allow for an arbitrary number of nested and crossed random effects, making it useful for multilevel and cross-classified models.
Author: Minjeong Jeon [aut], Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <njrockwood@gmail.com>

Diff between PLmixed versions 0.1.5 dated 2020-12-14 and 0.1.6 dated 2022-06-22

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New package OpenTreeChronograms with initial version 2022.1.28
Package: OpenTreeChronograms
Title: Open Tree of Life Chronograms
Version: 2022.1.28
Maintainer: Luna L. Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Description: Chronogram database constructed from Open Tree of Life's phylogenetic store.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 2.10)
Imports: ape, geiger, knitcitations, paleotree, plyr, rotl, stringr, taxize, treebase, usethis
NeedsCompilation: no
Packaged: 2022-06-20 08:38:00 UTC; luna
Author: Brian O'Meara [aut], Luna L. Sanchez Reyes [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-22 07:10:10 UTC

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Package nlmixr2est updated to version 2.0.8 with previous version 2.0.7 dated 2022-05-23

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 2.0.7 dated 2022-05-23 and 2.0.8 dated 2022-06-22

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 28 files changed, 353 insertions(+), 274 deletions(-)

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New package NasdaqDataLink with initial version 1.0.0
Package: NasdaqDataLink
Title: API Wrapper for Nasdaq Data Link
Version: 1.0.0
Date: 2022-06-17
Maintainer: Jamie Couture <jamie.couture@nasdaq.com>
Description: Functions for interacting directly with the Nasdaq Data Link API to offer data in a number of formats usable in R, downloading a zip with all data from a Nasdaq Data Link database, and the ability to search. This R package uses the Nasdaq Data Link API. For more information go to <https://docs.data.nasdaq.com/>. For more help on the package itself go to <https://data.nasdaq.com/tools/r>.
Imports: httr (>= 0.6.1), zoo, jsonlite (>= 0.9.14), methods
Suggests: testthat (>= 0.10.0), roxygen2, timeSeries
Depends: R (>= 3.5.0), xts
License: MIT + file LICENSE
URL: https://github.com/nasdaq/data-link-r
BugReports: https://github.com/nasdaq/data-link-r/issues
NeedsCompilation: no
Packaged: 2022-06-20 18:11:33 UTC; erivau
Author: Jamie Couture [cre], Eric Vautour [aut], Nasdaq Data Link. [cph]
Repository: CRAN
Date/Publication: 2022-06-22 07:50:05 UTC

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New package multiActionButton with initial version 1.0.0
Package: multiActionButton
Title: Multi Action Button for 'Shiny' Applications
Version: 1.0.0
Description: Provides a multi action button for usage in 'shiny' applications.
License: GPL-3
URL: https://github.com/stla/multiActionButton
BugReports: https://github.com/stla/multiActionButton/issues
Imports: htmltools, shiny
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 11:25:35 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Sergey Pimenov [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:20:05 UTC

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New package mpwR with initial version 0.1.0
Package: mpwR
Title: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics
Version: 0.1.0
Description: Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.
License: MIT + file LICENSE
Imports: comprehenr, data.table, dplyr, flowTraceR, forcats, ggplot2, magrittr, plotly, purrr, stats, stringr, tibble, tidyr, UpSetR
Suggests: flextable, knitr, rmarkdown, testthat (>= 3.0.0), utils
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 13:38:36 UTC; Olive
Author: Oliver Kardell [aut, cre]
Maintainer: Oliver Kardell <Okdll@gmx.net>
Repository: CRAN
Date/Publication: 2022-06-22 07:30:02 UTC

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Package gtsummary updated to version 1.6.1 with previous version 1.6.0 dated 2022-04-25

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Michael Curry [aut] , Joseph Larmarange [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Esther Drill [ctb] , Jessica Flynn [ctb] , Margie Hannum [ctb] , Stephanie Lobaugh [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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New package jacobi with initial version 1.0.0
Package: jacobi
Title: Jacobi Theta Functions and Related Functions
Version: 1.0.0
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, and Eisenstein series. Complex values of the variable are supported.
License: GPL-3
URL: https://github.com/stla/jacobi
BugReports: https://github.com/stla/jacobi/issues
Imports: Carlson, Rcpp (>= 1.0.8)
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-20 10:31:33 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:20:08 UTC

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New package GeneralizedWendland with initial version 0.5-2
Package: GeneralizedWendland
Title: Fully Parameterized Generalized Wendland Covariance Function
Version: 0.5-2
Date: 2022-06-20
Maintainer: Thomas C. Fischer <thomascasparfischer@gmail.com>
Depends: R (>= 3.1)
SystemRequirements: gsl (>= 2.7)
Imports: methods, stats, utils, Matrix, Rcpp, spam, spam64, parallel, optimParallel, fields
LinkingTo: Rcpp, RcppEigen, BH, Matrix
Suggests: knitr, R.rsp, testthat (>= 3.0.0), mvtnorm, ggplot2, gridExtra, dplyr, microbenchmark
Description: A fully parameterized Generalized Wendland covariance function for use in Gaussian process models, as well as multiple methods for approximating it via covariance interpolation. The available methods are linear interpolation, polynomial interpolation, and cubic spline interpolation. Moreno Bevilacqua and Reinhard Furrer and Tarik Faouzi and Emilio Porcu (2019) <url:<https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F17-AOS1652 >>. Moreno Bevilacqua and Christian Caamaño-Carrillo and Emilio Porcu (2022) <arXiv:2008.02904>. Reinhard Furrer and Roman Flury and Florian Gerber (2022) <url:<https://CRAN.R-project.org/package=spam >>.
RcppModules: Wendland
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: R.rsp, knitr
NeedsCompilation: yes
Packaged: 2022-06-20 09:31:54 UTC; thomas
Author: Thomas C. Fischer [aut, cre], Reinhard Furrer [aut, ths], Josef Stocker [aut]
Repository: CRAN
Date/Publication: 2022-06-22 07:10:13 UTC

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New package espadon with initial version 1.0.4
Package: espadon
Title: Easy Study of Patient DICOM Data in Oncology
Version: 1.0.4
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
License: GPL-3
URL: https://espadon.cnrs.fr
Encoding: UTF-8
Imports: colorspace, DT, graphics, grDevices, igraph, js, mathjaxr, Matrix, methods, misc3d, openxlsx, progress, qs, Rcpp (>= 1.0.7), Rdpack, rgl (>= 0.107.14), Rvcg, shiny, shinyWidgets, sp, stats
LinkingTo: Rcpp
Depends: R (>= 4.0.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-20 14:42:06 UTC; cfontbonne
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:40:14 UTC

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Package emmeans updated to version 1.7.5 with previous version 1.7.4-1 dated 2022-05-14

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

Diff between emmeans versions 1.7.4-1 dated 2022-05-14 and 1.7.5 dated 2022-06-22

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New package edibble with initial version 0.1.0
Package: edibble
Title: Designing Comparative Experiments
Version: 0.1.0
Description: A system to facilitate designing comparative experiments using the grammar of experimental designs <https://emitanaka.org/edibble-book/>. An experimental design is treated as an intermediate, mutable object that is built progressively by fundamental experimental components like units, treatments, and their relation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://edibble.emitanaka.org/, https://github.com/emitanaka/edibble
BugReports: https://github.com/emitanaka/edibble/issues
Imports: magrittr, rlang, vctrs, tibble, cli, pillar, tidyselect (>= 1.0.0), nestr, stats, AlgDesign, dae, R6
Suggests: testthat (>= 3.0.0), rmarkdown, openxlsx, visNetwork
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-06-20 08:40:17 UTC; emi
Author: Emi Tanaka [aut, cre, cph]
Maintainer: Emi Tanaka <dr.emi.tanaka@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 07:10:05 UTC

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Package TNRS updated to version 0.3.1 with previous version 0.3.0 dated 2022-02-22

Title: Taxonomic Name Resolution Service
Description: Provides access to the Taxonomic Name Resolution Service <https://github.com/ojalaquellueva/tnrsapi> through R. The user supplies plant taxonomic names and the package returns resolved taxonomic names along with information on decisions. Optionally, the package can also be used to parse taxonomic names.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Paul Efren [ctb]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between TNRS versions 0.3.0 dated 2022-02-22 and 0.3.1 dated 2022-06-22

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Package rdmulti updated to version 0.9 with previous version 0.8 dated 2021-05-19

Title: Analysis of RD Designs with Multiple Cutoffs or Scores
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdmulti' package provides tools to analyze RD designs with multiple cutoffs or scores: rdmc() estimates pooled and cutoff specific effects for multi-cutoff designs, rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2020) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

Diff between rdmulti versions 0.8 dated 2021-05-19 and 0.9 dated 2022-06-22

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Package PSAgraphics updated to version 2.1.1.1 with previous version 2.1.1 dated 2012-03-18

Title: Propensity Score Analysis Graphics
Description: A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation of the estimated effect size by stratum, loess.psa that provides a graphic and loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.
Author: James E. Helmreich <James.Helmreich@Marist.edu> and Robert M. Pruzek <RMPruzek@yahoo.com>. We are grateful to KuangNan Xiong for significant work on the functions new to version 2.0: cstrata.psa, cv.bal.psa, and cv.trans.psa.
Maintainer: James E. Helmreich <James.Helmreich@Marist.edu>

Diff between PSAgraphics versions 2.1.1 dated 2012-03-18 and 2.1.1.1 dated 2022-06-22

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Package Jmisc updated to version 0.3.1.1 with previous version 0.3.1 dated 2014-03-07

Title: Julian Miscellaneous Function
Description: Some handy function in R.
Author: TszKin Julian Chan <ctszkin@gmail.com>
Maintainer: TszKin Julian Chan <ctszkin@gmail.com>

Diff between Jmisc versions 0.3.1 dated 2014-03-07 and 0.3.1.1 dated 2022-06-22

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Package ICsurv updated to version 1.0.1 with previous version 1.0 dated 2014-06-10

Title: Semiparametric Regression Analysis of Interval-Censored Data
Description: Currently using the proportional hazards (PH) model. More methods under other semiparametric regression models will be included in later versions.
Author: Christopher S. McMahan and Lianming Wang
Maintainer: Lianming Wang <wangl@stat.sc.edu>

Diff between ICsurv versions 1.0 dated 2014-06-10 and 1.0.1 dated 2022-06-22

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Package HaploSim updated to version 1.8.4.1 with previous version 1.8.4 dated 2010-06-21

Title: Functions to Simulate Haplotypes
Description: Simulate haplotypes through meioses. Allows specification of population parameters.
Author: Albart Coster [aut, cre], John Bastiaansen [aut]
Maintainer: Albart Coster <albart@dairyconsult.nl>

Diff between HaploSim versions 1.8.4 dated 2010-06-21 and 1.8.4.1 dated 2022-06-22

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Package GrassmannOptim updated to version 2.0.1 with previous version 2.0 dated 2013-12-02

Title: Grassmann Manifold Optimization
Description: Optimizing a function F(U), where U is a semi-orthogonal matrix and F is invariant under an orthogonal transformation of U.
Author: Kofi Placid Adragni and Seongho Wu
Maintainer: Kofi Placid Adragni <kofi@umbc.edu>

Diff between GrassmannOptim versions 2.0 dated 2013-12-02 and 2.0.1 dated 2022-06-22

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Package GB2 updated to version 2.1.1 with previous version 2.1 dated 2015-05-11

Title: Generalized Beta Distribution of the Second Kind: Properties, Likelihood, Estimation
Description: Package GB2 explores the Generalized Beta distribution of the second kind. Density, cumulative distribution function, quantiles and moments of the distributions are given. Functions for the full log-likelihood, the profile log-likelihood and the scores are provided. Formulas for various indicators of inequality and poverty under the GB2 are implemented. The GB2 is fitted by the methods of maximum pseudo-likelihood estimation using the full and profile log-likelihood, and non-linear least squares estimation of the model parameters. Various plots for the visualization and analysis of the results are provided. Variance estimation of the parameters is provided for the method of maximum pseudo-likelihood estimation. A mixture distribution based on the compounding property of the GB2 is presented (denoted as "compound" in the documentation). This mixture distribution is based on the discretization of the distribution of the underlying random scale parameter. The discretization can be left or right tail. Density, cumulative distribution function, moments and quantiles for the mixture distribution are provided. The compound mixture distribution is fitted using the method of maximum pseudo-likelihood estimation. The fit can also incorporate the use of auxiliary information. In this new version of the package, the mixture case is complemented with new functions for variance estimation by linearization and comparative density plots.
Author: Monique Graf <monique.p.n.graf@bluewin.ch>, Desislava Nedyalkova <desislava.nedyalkova@gmail.com>.
Maintainer: Desislava Nedyalkova <desislava.nedyalkova@gmail.com>

Diff between GB2 versions 2.1 dated 2015-05-11 and 2.1.1 dated 2022-06-22

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 NAMESPACE         |    4 ++++
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2012-09-14 0.1-22

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2022-04-16 1.3.2
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2017-03-13 1.1.1
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2015-10-19 1.0.1
2015-06-09 1.0.0

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Package RKUM updated to version 0.1.1.1 with previous version 0.1.1 dated 2019-03-04

Title: Robust Kernel Unsupervised Methods
Description: Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) <doi:10.1016/j.neucom.2018.04.008>. Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) <doi:10.1016/j.csda.2018.03.013>.
Author: Md Ashad Alam
Maintainer: Md Ashad Alam <malam@tulane.edu>

Diff between RKUM versions 0.1.1 dated 2019-03-04 and 0.1.1.1 dated 2022-06-22

 DESCRIPTION   |    7 +++----
 MD5           |    6 +++---
 man/hadr.Rd   |    2 +-
 man/hulfun.Rd |    2 +-
 4 files changed, 8 insertions(+), 9 deletions(-)

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