Fri, 23 Feb 2024

Package mlpack updated to version 4.3.0.1 with previous version 4.3.0 dated 2023-11-29

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

Diff between mlpack versions 4.3.0 dated 2023-11-29 and 4.3.0.1 dated 2024-02-23

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Package langevitour updated to version 0.7 with previous version 0.6 dated 2023-11-17

Title: Langevin Tour
Description: An HTML widget that randomly tours 2D projections of numerical data. A random walk through projections of the data is shown. The user can manipulate the plot to use specified axes, or turn on Guided Tour mode to find an informative projection of the data. Groups within the data can be hidden or shown, as can particular axes. Points can be brushed, and the selection can be linked to other widgets using crosstalk. The underlying method to produce the random walk and projection pursuit uses Langevin dynamics. The widget can be used from within R, or included in a self-contained R Markdown or Quarto document or presentation, or used in a Shiny app.
Author: Paul Harrison [aut, cre]
Maintainer: Paul Harrison <pfh@logarithmic.net>

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Package ergMargins updated to version 1.2 with previous version 1.1 dated 2023-11-11

Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

Diff between ergMargins versions 1.1 dated 2023-11-11 and 1.2 dated 2024-02-23

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Package redland updated to version 1.0.17-18 with previous version 1.0.17-17 dated 2023-05-23

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <https://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre] , Peter Slaughter [aut] , Jeroen Ooms [aut] , Carl Boettiger [aut] , Scott Chamberlain [ctb] , David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package tlars updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-21

Title: The T-LARS Algorithm: Early-Terminated Forward Variable Selection
Description: Computes the solution path of the Terminating-LARS (T-LARS) algorithm. The T-LARS algorithm is a major building block of the T-Rex selector (see R package 'TRexSelector'). The package is based on the papers Machkour, Muma, and Palomar (2022) <arXiv:2110.06048>, Efron, Hastie, Johnstone, and Tibshirani (2004) <doi:10.1214/009053604000000067>, and Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>.
Author: Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut]
Maintainer: Jasin Machkour <jasin.machkour@tu-darmstadt.de>

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Package TRexSelector updated to version 1.0.0 with previous version 0.0.1 dated 2022-08-17

Title: T-Rex Selector: High-Dimensional Variable Selection & FDR Control
Description: Performs fast variable selection in high-dimensional settings while controlling the false discovery rate (FDR) at a user-defined target level. The package is based on the paper Machkour, Muma, and Palomar (2022) <arXiv:2110.06048>.
Author: Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut]
Maintainer: Jasin Machkour <jasin.machkour@tu-darmstadt.de>

Diff between TRexSelector versions 0.0.1 dated 2022-08-17 and 1.0.0 dated 2024-02-23

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Package starvz updated to version 0.8.0 with previous version 0.7.1 dated 2022-02-13

Title: R-Based Visualization Techniques for Task-Based Applications
Description: Performance analysis workflow that combines the power of the R language (and the tidyverse realm) and many auxiliary tools to provide a consistent, flexible, extensible, fast, and versatile framework for the performance analysis of task-based applications that run on top of the StarPU runtime (with its MPI (Message Passing Interface) layer for multi-node support). Its goal is to provide a fruitful prototypical environment to conduct performance analysis hypothesis-checking for task-based applications that run on heterogeneous (multi-GPU, multi-core) multi-node HPC (High-performance computing) platforms.
Author: Lucas Mello Schnorr [aut, ths] , Vinicius Garcia Pinto [aut] , Lucas Leandro Nesi [aut, cre] , Marcelo Cogo Miletto [aut] , Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Remy Drouilhet [ctb]
Maintainer: Lucas Leandro Nesi <lucas.nesi@inf.ufrgs.br>

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Package scrutiny updated to version 0.4.0 with previous version 0.3.0 dated 2023-08-08

Title: Error Detection in Science
Description: Test published summary statistics for consistency (Brown and Heathers, 2017, <doi:10.1177/1948550616673876>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.
Author: Lukas Jung [aut, cre], Aurelien Allard [ctb]
Maintainer: Lukas Jung <jung-lukas@gmx.net>

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Package receptiviti updated to version 0.1.7 with previous version 0.1.6 dated 2023-11-27

Title: Text Analysis Through the 'Receptiviti' API
Description: Send text to the <https://www.receptiviti.com> API to be scored by all available frameworks.
Author: Receptiviti Inc. [fnd, cph], Kent English [cre], Micah Iserman [aut, ctr]
Maintainer: Kent English <kenglish@receptiviti.com>

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Package networktools updated to version 1.5.2 with previous version 1.5.1 dated 2023-08-22

Title: Tools for Identifying Important Nodes in Networks
Description: Includes assorted tools for network analysis. Bridge centrality; goldbricker; MDS, PCA, & eigenmodel network plotting.
Author: Payton Jones [aut, cre]
Maintainer: Payton Jones <paytonjjones@gmail.com>

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Package ebirdst updated to version 3.2022.2 with previous version 3.2022.1 dated 2023-12-08

Title: Access and Analyze eBird Status and Trends Data Products
Description: Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package clinPK updated to version 0.13.0 with previous version 0.11.1 dated 2022-05-10

Title: Clinical Pharmacokinetics Toolkit
Description: Provides equations commonly used in clinical pharmacokinetics and clinical pharmacology, such as equations for dose individualization, compartmental pharmacokinetics, drug exposure, anthropomorphic calculations, clinical chemistry, and conversion of common clinical parameters. Where possible and relevant, it provides multiple published and peer-reviewed equations within the respective R function.
Author: Ron Keizer [aut, cre], Jasmine Hughes [aut], Dominic Tong [aut], Kara Woo [aut], InsightRX [cph, fnd]
Maintainer: Ron Keizer <ron@insight-rx.com>

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Permanent link

Package censobr updated to version 0.3.1 with previous version 0.3.0 dated 2024-01-09

Title: Download Data from Brazil's Population Census
Description: Download data from Brazil's population census. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between censobr versions 0.3.0 dated 2024-01-09 and 0.3.1 dated 2024-02-23

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New package BFS with initial version 0.5.8
Package: BFS
Title: Get Data from the Swiss Federal Statistical Office
Version: 0.5.8
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
License: GPL (>= 3)
Depends: R (>= 3.4)
Imports: pxweb, httr2, xml2, rvest, tibble, magrittr, janitor, tidyRSS, purrr, dplyr, rstac, curl, sf, zip, fs, tools, lifecycle
Encoding: UTF-8
URL: https://felixluginbuhl.com/BFS/, https://github.com/lgnbhl/BFS/
BugReports: https://github.com/lgnbhl/BFS/issues
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-23 18:28:54 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph] , Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Repository: CRAN
Date/Publication: 2024-02-23 23:30:12 UTC

More information about BFS at CRAN
Permanent link

Package spinBayes updated to version 0.2.0 with previous version 0.1.0 dated 2019-06-06

Title: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection
Description: Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Existing Bayesian methods for gene-environment (G×E) interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences. We have developed a novel and powerful semi-parametric Bayesian variable selection method that can accommodate linear and nonlinear G×E interactions simultaneously (Ren et al. (2020) <doi:10.1002/sim.8434>). Furthermore, the proposed method can conduct structural identification by distinguishing nonlinear interactions from main effects only case within Bayesian framework. Spike-and-slab priors are incorporated on both individual and group level to shrink coefficients corresponding to irrelevant main and interaction effects to zero exactly. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently [...truncated...]
Author: Jie Ren, Fei Zhou, Xiaoxi Li, Cen Wu, Yu Jiang
Maintainer: Jie Ren <jieren@ksu.edu>

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Package gprofiler2 updated to version 0.2.3 with previous version 0.2.2 dated 2023-06-13

Title: Interface to the 'g:Profiler' Toolset
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler/>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects. This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
Author: Liis Kolberg <liis.kolberg@ut.ee>, Uku Raudvere <uku.raudvere@ut.ee>
Maintainer: Liis Kolberg <liis.kolberg@ut.ee>

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Package ggblanket updated to version 6.0.0 with previous version 5.2.0 dated 2023-11-09

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package FLSSS updated to version 9.1.3 with previous version 9.1.1 dated 2022-05-17

Title: Mining Rigs for Problems in the Subset Sum Family
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. The solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value multisets with predefined subset sum errors, (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The multi-threaded framework for the latter offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Historical updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) option of mapping floating-point instance to [...truncated...]
Author: Charlie Wusuo Liu
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>

Diff between FLSSS versions 9.1.1 dated 2022-05-17 and 9.1.3 dated 2024-02-23

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More information about FLSSS at CRAN
Permanent link

Package prettymapr updated to version 0.2.5 with previous version 0.2.4 dated 2022-06-09

Title: Scale Bar, North Arrow, and Pretty Margins in R
Description: Automates the process of creating a scale bar and north arrow in any package that uses base graphics to plot in R. Bounding box tools help find and manipulate extents. Finally, there is a function to automate the process of setting margins, plotting the map, scale bar, and north arrow, and resetting graphic parameters upon completion.
Author: Dewey Dunnington <dewey@fishandwhistle.net>
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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New package teal.modules.clinical with initial version 0.9.0
Package: teal.modules.clinical
Title: 'teal' Modules for Standard Clinical Outputs
Version: 0.9.0
Date: 2024-02-22
Description: Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal.modules.clinical/, https://github.com/insightsengineering/teal.modules.clinical/
BugReports: https://github.com/insightsengineering/teal.modules.clinical/issues
Depends: R (>= 4.0), teal (>= 0.15.0), teal.transform (>= 0.5.0), tern (>= 0.9.3)
Imports: broom (>= 0.7.10), checkmate (>= 2.1.0), dplyr (>= 1.0.5), DT (>= 0.13), formatters (>= 0.5.5), ggplot2 (>= 3.4.0), ggrepel, grid, lifecycle (>= 0.2.0), logger (>= 0.2.0), methods, rlistings (>= 0.2.7), rmarkdown (>= 2.19), rtables (>= 0.6.6), scales, shiny (>= 1.6.0), shinyjs, shinyvalidate, shinyWidgets (>= 0.5.1), stats, teal.code (>= 0.5.0), teal.data (>= 0.4.0), teal.logger (>= 0.1.1), teal.reporter (>= 0.2.1), teal.widgets (>= 0.4.0), tern.gee (>= 0.1.3), tern.mmrm (>= 0.3.0), utils, vistime
Suggests: forcats, knitr (>= 1.34), lubridate (>= 1.7.9), nestcolor (>= 0.1.0), styler, testthat (>= 3.1.5)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-22 22:39:23 UTC; rstudio
Author: Joe Zhu [aut, cre], Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Mahmoud Hallal [aut], Dawid Kaledkowski [aut], Rosemary Li [aut], Heng Wang [aut], Pawel Rucki [aut], Nikolas Burkoff [aut], Konrad Paga [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Repository: CRAN
Date/Publication: 2024-02-23 19:20:02 UTC

More information about teal.modules.clinical at CRAN
Permanent link

Package scCustomize updated to version 2.1.0 with previous version 2.0.1 dated 2023-11-17

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb]
Maintainer: Samuel Marsh <samuel.marsh@childrens.harvard.edu>

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 scCustomize-2.1.0/scCustomize/R/Object_Utilities.R                |  671 ++++--
 scCustomize-2.1.0/scCustomize/R/Plotting_Utilities.R              |  985 +++++++++-
 scCustomize-2.1.0/scCustomize/R/QC_Plotting_Seurat.R              |   23 
 scCustomize-2.1.0/scCustomize/R/Reexports.R                       |only
 scCustomize-2.1.0/scCustomize/R/Seurat_Iterative_Plotting.R       |  264 ++
 scCustomize-2.1.0/scCustomize/R/Seurat_Plotting.R                 |  738 +------
 scCustomize-2.1.0/scCustomize/R/Statistics.R                      |   18 
 scCustomize-2.1.0/scCustomize/R/Statistics_Plotting.R             |   24 
 scCustomize-2.1.0/scCustomize/R/Utilities.R                       |  504 ++++-
 scCustomize-2.1.0/scCustomize/man/Add_Alt_Feature_ID.Rd           |only
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 scCustomize-2.1.0/scCustomize/man/Add_Sample_Meta.Rd              |    2 
 scCustomize-2.1.0/scCustomize/man/Add_Top_Gene_Pct_Seurat.Rd      |    2 
 scCustomize-2.1.0/scCustomize/man/Case_Check.Rd                   |    2 
 scCustomize-2.1.0/scCustomize/man/Change_Delim_All.Rd             |    2 
 scCustomize-2.1.0/scCustomize/man/Change_Delim_Prefix.Rd          |    2 
 scCustomize-2.1.0/scCustomize/man/Change_Delim_Suffix.Rd          |    2 
 scCustomize-2.1.0/scCustomize/man/CheckMatrix_scCustom.Rd         |    4 
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 scCustomize-2.1.0/scCustomize/man/Extract_Modality.Rd             |    2 
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 scCustomize-2.1.0/scCustomize/man/Fetch_Meta.Rd                   |    5 
 scCustomize-2.1.0/scCustomize/man/Gene_Present.Rd                 |    6 
 scCustomize-2.1.0/scCustomize/man/Iterate_DimPlot_bySample.Rd     |   12 
 scCustomize-2.1.0/scCustomize/man/Iterate_FeaturePlot_scCustom.Rd |   13 
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 scCustomize-2.1.0/scCustomize/man/Liger_to_Seurat.Rd              |   25 
 scCustomize-2.1.0/scCustomize/man/Merge_Seurat_List.Rd            |    2 
 scCustomize-2.1.0/scCustomize/man/Merge_Sparse_Data_All.Rd        |    2 
 scCustomize-2.1.0/scCustomize/man/Merge_Sparse_Multimodal_All.Rd  |    2 
 scCustomize-2.1.0/scCustomize/man/Meta_Numeric.Rd                 |    2 
 scCustomize-2.1.0/scCustomize/man/Meta_Present.Rd                 |   11 
 scCustomize-2.1.0/scCustomize/man/Meta_Remove_Seurat.Rd           |    2 
 scCustomize-2.1.0/scCustomize/man/QC_Plots_Complexity.Rd          |    2 
 scCustomize-2.1.0/scCustomize/man/Reduction_Loading_Present.Rd    |    2 
 scCustomize-2.1.0/scCustomize/man/Rename_Clusters.Rd              |    2 
 scCustomize-2.1.0/scCustomize/man/Replace_Suffix.Rd               |    2 
 scCustomize-2.1.0/scCustomize/man/Split_Layers.Rd                 |only
 scCustomize-2.1.0/scCustomize/man/Split_Vector.Rd                 |only
 scCustomize-2.1.0/scCustomize/man/Store_Misc_Info_Seurat.Rd       |    2 
 scCustomize-2.1.0/scCustomize/man/Store_Palette_Seurat.Rd         |    3 
 scCustomize-2.1.0/scCustomize/man/Updated_HGNC_Symbols.Rd         |only
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 scCustomize-2.1.0/scCustomize/man/scCustomize_Palette.Rd          |    1 
 71 files changed, 2972 insertions(+), 1483 deletions(-)

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New package rstanbdp with initial version 0.0.2
Package: rstanbdp
Title: Bayesian Deming Regression for Method Comparison
Version: 0.0.2
Maintainer: Giorgio Pioda <gfwp@ticino.com>
Description: Regression methods to quantify the relation between two measurement methods are provided by this package. The focus is on a Bayesian Deming regressions family. With a Bayesian method the Deming regression can be run in a traditional fashion or can be run in a robust way just decreasing the degree of freedom d.f. of the sampling distribution. With d.f. = 1 an extremely robust Cauchy distribution can be sampled. Moreover, models for dealing with heteroscedastic data are also provided. For reference see G. Pioda (2024) <https://piodag.github.io/bd1/>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), rrcov, mixtools, bayestestR, KernSmooth
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-02-22 22:27:31 UTC; gfwp
Author: Giorgio Pioda [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-23 19:20:08 UTC

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New package planscorer with initial version 0.0.1
Package: planscorer
Title: Score Redistricting Plans with 'PlanScore'
Version: 0.0.1
Description: Provides access to the 'PlanScore' Application Programming Interface (<https://github.com/PlanScore/PlanScore/blob/main/API.md>) for scoring redistricting plans. Allows for upload of plans from block assignment files and shape files. For shapes in memory, such as from 'sf' or 'redist', it processes them to save and upload. Includes tools for tidying responses and saving output from the website.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, curl, dplyr, fs, httr2, jsonlite, purrr, readr, rlang, sf, stringr, tibble, tidyr
URL: http://christophertkenny.com/planscorer/
Suggests: httptest2, spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-22 19:26:01 UTC; chris
Author: Christopher T. Kenny [aut, trl, cre] , Michal Migurski [aut] , Cory McCartan [art]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2024-02-23 19:10:02 UTC

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New package mgwnbr with initial version 0.1.0
Package: mgwnbr
Title: Multiscale Geographically Weighted Negative Binomial Regression
Version: 0.1.0
Maintainer: Juliana Rosa <julianamrosa00@gmail.com>
Description: Fits a geographically weighted regression model with different scales for each covariate. Uses the negative binomial distribution as default, but also accepts the normal, Poisson, or logistic distributions. Can fit the global versions of each regression and also the geographically weighted alternatives with only one scale, since they are all particular cases of the multiscale approach. Hanchen Yu (2024). Exploring Multiscale Geographically Weighted Negative Binomial Regression, Annals of the American Association of Geographers <doi:10.1080/24694452.2023.2289986>. Fotheringham AS, Yang W, Kang W (2017). Multiscale Geographically Weighted Regression (MGWR), Annals of the American Association of Geographers <doi:10.1080/24694452.2017.1352480>. Da Silva AR, Rodrigues TCV (2014). Geographically Weighted Negative Binomial Regression - incorporating overdispersion, Statistics and Computing <doi:10.1007/s11222-013-9401-9>.
License: GPL-3
Encoding: UTF-8
Imports: sp
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-23 01:51:08 UTC; Juliana Rosa
Author: Juliana Rosa [aut, cre], Jessica Vasconcelos [aut], Alan da Silva [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-02-23 19:30:02 UTC

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New package LSTbook with initial version 0.5.0
Package: LSTbook
Title: Data and Software for "Lessons in Statistical Thinking"
Version: 0.5.0
Description: "Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
Imports: rlang, dplyr, ggplot2 (>= 3.4.4), broom, glue, stats, MASS, tibble, stringi
Suggests: igraph, graphics, testthat (>= 3.0.0), moderndive, palmerpenguins, babynames, knitr, rmarkdown, stringdist, mosaicData
VignetteBuilder: knitr
URL: https://dtkaplan.github.io/LSTbook/
BugReports: https://github.com/dtkaplan/LSTbook/issues/
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-02-22 21:50:41 UTC; kaplan
Author: Daniel Kaplan [aut, cre], Randall Pruim [aut]
Maintainer: Daniel Kaplan <dtkaplan@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-23 19:20:15 UTC

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New package GoodFitSBM with initial version 0.0.1
Package: GoodFitSBM
Title: Monte Carlo Goodness-of-Fit Tests for Stochastic Block Models
Version: 0.0.1
Description: Performing goodness-of-fit tests for stochastic block models used to fit network data. Among the three variants discussed in Karwa et al. (2023) <doi:10.1093/jrsssb/qkad084>, goodness-of-fit test has been performed for the Erdos-Renyi (ER) and Beta versions.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/Roy-SR-007/GoodFitSBM
BugReports: https://github.com/Roy-SR-007/GoodFitSBM/issues
Imports: stats, igraph, utils, irlba
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-22 18:09:10 UTC; sohamghosh
Author: Soham Ghosh [aut, cre], Somjit Roy [aut], Debdeep Pati [aut]
Maintainer: Soham Ghosh <sohamghosh@tamu.edu>
Repository: CRAN
Date/Publication: 2024-02-23 19:10:08 UTC

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New package fscache with initial version 1.0.2
Package: fscache
Title: File System Cache
Version: 1.0.2
Maintainer: Pierrick Roger <pierrick.roger@cea.fr>
Description: Manages a file system cache. Regular files can be moved or copied to the cache folder. Sub-folders can be created in order to organize the files. Files can be located inside the cache using a glob function. Text contents can be easily stored in and retrieved from the cache using dedicated functions. It can be used for an application or a package, as a global cache, or as a per-user cache, in which case the standard OS user cache folder will be used (e.g.: on Linux $HOME/.cache/R/my_app_or_pkg_cache_folder).
URL: https://gitlab.com/dbapis/r-fscache
BugReports: https://gitlab.com/dbapis/r-fscache/-/issues
Depends: R (>= 4.1)
License: AGPL-3
Encoding: UTF-8
Suggests: covr, knitr, rmarkdown, roxygen2, stringr, testthat (>= 2.0.0)
Imports: R.utils, R6, chk, lgr, stringi, tools
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2024-02-21 17:25:11 UTC; pierrick
Author: Pierrick Roger [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-23 19:10:05 UTC

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New package euroleaguer with initial version 0.2.0
Package: euroleaguer
Title: 'Euroleague basketball API'
Version: 0.2.0
Maintainer: Flavio Leccese <flavioleccese92@gmail.com>
Description: Unofficial API wrapper for 'Euroleague' and 'Eurocup' basketball API (<https://www.euroleaguebasketball.net/en/euroleague/>), it allows to retrieve real-time and historical standard and advanced statistics about competitions, teams, players and games.
License: MIT + file LICENSE
URL: https://github.com/FlavioLeccese92/euroleaguer/
Imports: cli, dplyr, glue, httr, jsonlite, lubridate, stringr, tibble, tidyr
Suggests: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-22 22:44:38 UTC; flavi
Author: Flavio Leccese [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-23 19:20:11 UTC

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Package zoomr updated to version 0.3.0 with previous version 0.2.0 dated 2023-04-25

Title: Connect to Your 'Zoom' Data
Description: Facilitates making a connection to the 'Zoom' API and executing various queries. You can use it to get data on 'Zoom' webinars and 'Zoom' meetings. The 'Zoom' documentation is available at <https://developers.zoom.us/docs/api/>. This package is not supported by 'Zoom' (owner of the software).
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

Diff between zoomr versions 0.2.0 dated 2023-04-25 and 0.3.0 dated 2024-02-23

 DESCRIPTION                 |    8 ++++----
 MD5                         |    8 +++++---
 NAMESPACE                   |    1 +
 R/get_tracking_sources.R    |only
 R/utils.R                   |    1 +
 man/get_tracking_sources.Rd |only
 6 files changed, 11 insertions(+), 7 deletions(-)

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New package STMotif with initial version 2.0.2
Package: STMotif
Title: Discovery of Motifs in Spatial-Time Series
Version: 2.0.2
Maintainer: Heraldo Borges <stmotif@eic.cefet-rj.br>
Description: Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
License: MIT + file LICENSE
BugReports: https://github.com/heraldoborges/STMotif/issues
URL: https://github.com/heraldoborges/STMotif/wiki
Encoding: UTF-8
LazyData: true
Imports: stats, ggplot2, reshape2, scales, grDevices, RColorBrewer
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-22 15:18:04 UTC; heraldoborges
Author: Heraldo Borges [aut, cre] , Amin Bazaz [aut] , Esther Pacciti [aut] , Eduardo Ogasawara [aut]
Repository: CRAN
Date/Publication: 2024-02-23 19:00:07 UTC

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New package QuadratiK with initial version 1.0.0
Package: QuadratiK
Title: Collection of Methods Constructed using Kernel-Based Quadratic Distances
Version: 1.0.0
Date: 2024-01-31
Maintainer: Giovanni Saraceno <gsaracen@buffalo.edu>
Description: It includes test for multivariate normality, test for uniformity on the Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data. For more information see Saraceno, G., Markatou, M., Mukhopadhyay, R., Golzy, M. (2024) <arxiv:2402.02290>, Ding, Y., Markatou, M., Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M., Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppEigen, sn, methods, stats, MASS, moments, mvtnorm, movMF, rlecuyer, foreach, doParallel, Tinflex, ggpp, ggplot2, rgl, clusterRepro, ggpubr, mclust, rrcov, cluster
VignetteBuilder: knitr
Suggests: rmarkdown, testthat (>= 3.0.0), roxygen2, knitr
NeedsCompilation: yes
Packaged: 2024-02-22 05:38:11 UTC; gsaracen
Author: Giovanni Saraceno [aut, cre] , Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [ctb]
Repository: CRAN
Date/Publication: 2024-02-23 18:30:05 UTC

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New package ltertools with initial version 1.0.0
Package: ltertools
Title: Tools Developed by the Long Term Ecological Research Community
Version: 1.0.0
Maintainer: Nicholas Lyon <lyon@nceas.ucsb.edu>
Description: Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://lter.github.io/ltertools/
BugReports: https://github.com/lter/ltertools/issues
Depends: R (>= 3.5)
Imports: dplyr, generics, ggplot2, magrittr, purrr, readxl, rlang, stats, stringr, tidyr, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-22 14:42:42 UTC; lyon
Author: Nicholas Lyon [aut, cre] , Angel Chen [aut] , National Science Foundation [fnd] , University of California, Santa Barbara [cph]
Repository: CRAN
Date/Publication: 2024-02-23 19:00:02 UTC

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New package iwaqr with initial version 1.8.4
Package: iwaqr
Title: Irrigation Water Quality Assessment and Visualizations
Version: 1.8.4
Description: Calculates irrigation water quality ratios and has functions that could be used to plot several popular diagrams for irrigation water quality classification.
Imports: ggplot2, ggthemes, ggrepel, scales
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2024-02-22 11:14:45 UTC; Wajid
Author: Wajid Ali [aut, cre, cph]
Maintainer: Wajid Ali <wajeedaali@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-23 18:50:02 UTC

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New package iNEXT.beta3D with initial version 1.0.0
Package: iNEXT.beta3D
Title: Interpolation and Extrapolation with Beta Diversity for Three Dimensions of Biodiversity
Version: 1.0.0
Author: Anne Chao [aut, cre], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
URL: https://sites.google.com/view/chao-lab-website/software/inext-beta3d
Description: As a sequel to 'iNEXT', the 'iNEXT.beta3D' package provides functions to compute standardized taxonomic, phylogenetic, and functional diversity (3D) estimates with a common sample size (for alpha and gamma diversity) or sample coverage (for alpha, beta, gamma diversity as well as dissimilarity or turnover indices). Hill numbers and their generalizations are used to quantify 3D and to make multiplicative decomposition (gamma = alpha x beta). The package also features size- and coverage-based rarefaction and extrapolation sampling curves to facilitate rigorous comparison of beta diversity across datasets. See Chao et al. (2023) <doi:10.1002/ecm.1588> for more details.
License: GPL (>= 3)
Depends: R (>= 4.0)
Imports: stats, magrittr, ggplot2, abind, iNEXT.3D, future.apply, tibble, dplyr, tidytree, tidyr, phyclust, ape
Suggests: testthat, knitr, rmarkdown, ggthemes
Encoding: UTF-8
BugReports: https://github.com/AnneChao/iNEXT.beta3D/issues
LazyData: yes
VignetteBuilder: knitr
ByteCompile: true
Packaged: 2024-02-22 13:46:35 UTC; stat-pc
Repository: CRAN
NeedsCompilation: no
Date/Publication: 2024-02-23 18:50:05 UTC

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New package DIDmultiplegtDYN with initial version 1.0.4
Package: DIDmultiplegtDYN
Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Version: 1.0.4
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>
Description: Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
License: MIT + file LICENSE
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Encoding: UTF-8
Imports: data.table, dplyr, ggplot2, magrittr, matlib, plm, rlang, xlsx, stats, car, lmtest, sandwich, haven
NeedsCompilation: no
Packaged: 2024-02-22 10:09:19 UTC; 39380
Repository: CRAN
Date/Publication: 2024-02-23 18:40:02 UTC

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New package absorber with initial version 1.0
Package: absorber
Title: Variable Selection in Nonparametric Models using B-Splines
Version: 1.0
Date: 2024-02-22
Author: Mary E. Savino [aut, cre], Celine Levy-Leduc [ctb]
Maintainer: Mary E. Savino <mary.savino@outlook.fr>
Description: A variable selection method using B-Splines in multivariate nOnparametric Regression models Based on partial dErivatives Regularization (ABSORBER) implements a novel variable selection method in a nonlinear multivariate model using B-splines. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), Matrix, sparsegl, fda, parallel
Imports: ggplot2, MASS, irlba
Suggests: knitr, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-22 10:30:51 UTC; mary
Repository: CRAN
Date/Publication: 2024-02-23 18:50:08 UTC

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Package iglu updated to version 4.0.0 with previous version 3.5.0 dated 2023-10-20

Title: Interpreting Glucose Data from Continuous Glucose Monitors
Description: Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.
Author: Elizabeth Chun [aut], Steve Broll [aut], David Buchanan [aut], John Muschelli [aut] , Nathaniel Fernandes [aut], Jung Hoon Seo [ctb], Johnathan Shih [ctb], Jacek Urbanek [ctb], John Schwenck [ctb], Marielle Hicban [ctb], Mary Martin [ctb], Pratik Pat [...truncated...]
Maintainer: Irina Gaynanova <irinagn@umich.edu>

Diff between iglu versions 3.5.0 dated 2023-10-20 and 4.0.0 dated 2024-02-23

 iglu-3.5.0/iglu/data/example_meal.rda                                    |only
 iglu-3.5.0/iglu/man/example_meal.Rd                                      |only
 iglu-3.5.0/iglu/vignettes/mage_figures/Figure3_heatmap_percent_error.png |only
 iglu-4.0.0/iglu/DESCRIPTION                                              |   43 
 iglu-4.0.0/iglu/MD5                                                      |  112 -
 iglu-4.0.0/iglu/NAMESPACE                                                |    1 
 iglu-4.0.0/iglu/NEWS.md                                                  |   25 
 iglu-4.0.0/iglu/R/all_metrics.R                                          |  123 +
 iglu-4.0.0/iglu/R/data.R                                                 |   51 
 iglu-4.0.0/iglu/R/epicalc_profile.R                                      |   46 
 iglu-4.0.0/iglu/R/episode_calculation.R                                  |   95 -
 iglu-4.0.0/iglu/R/gri.R                                                  |    2 
 iglu-4.0.0/iglu/R/heatmap.R                                              |   27 
 iglu-4.0.0/iglu/R/mage.R                                                 |   51 
 iglu-4.0.0/iglu/R/mage_ma_single.R                                       |  676 +++++---
 iglu-4.0.0/iglu/R/meal_metrics.R                                         |   70 
 iglu-4.0.0/iglu/R/optimized_iglu_functions.R                             |   88 -
 iglu-4.0.0/iglu/R/pgs.R                                                  |only
 iglu-4.0.0/iglu/R/read_raw_data.r                                        |   75 
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Package spBayesSurv updated to version 1.1.8 with previous version 1.1.7 dated 2023-05-17

Title: Bayesian Modeling and Analysis of Spatially Correlated Survival Data
Description: Provides several Bayesian survival models for spatial/non-spatial survival data: proportional hazards (PH), accelerated failure time (AFT), proportional odds (PO), and accelerated hazards (AH), a super model that includes PH, AFT, PO and AH as special cases, Bayesian nonparametric nonproportional hazards (LDDPM), generalized accelerated failure time (GAFT), and spatially smoothed Polya tree density estimation. The spatial dependence is modeled via frailties under PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and PH. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou, Hanson and Zhang (2020) <doi:10.18637/jss.v092.i09>.
Author: Haiming Zhou [aut, cre, cph], Timothy Hanson [aut]
Maintainer: Haiming Zhou <haiming2019@gmail.com>

Diff between spBayesSurv versions 1.1.7 dated 2023-05-17 and 1.1.8 dated 2024-02-23

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Package simhelpers updated to version 0.2.0 with previous version 0.1.2 dated 2022-05-03

Title: Helper Functions for Simulation Studies
Description: Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies. Our derivation and explanation of formulas and our general simulation workflow is closely aligned with the approach described by Morris, White, and Crowther (2019) <DOI:10.1002/sim.8086>.
Author: Megha Joshi [aut, cre] , James Pustejovsky [aut]
Maintainer: Megha Joshi <megha.j456@gmail.com>

Diff between simhelpers versions 0.1.2 dated 2022-05-03 and 0.2.0 dated 2024-02-23

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New package rENA with initial version 0.2.7
Package: rENA
Title: Epistemic Network Analysis
Author: Cody L Marquart [aut, cre] , Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Version: 0.2.7
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016).
LazyData: TRUE
Depends: R (>= 3.0.0)
License: GPL-3 | file LICENSE
URL: https://gitlab.com/epistemic-analytics/qe-packages/rENA
BugReports: https://gitlab.com/epistemic-analytics/qe-packages/rENA/-/issues
LinkingTo: Rcpp, RcppArmadillo
Imports: data.table, Rcpp, R6, methods, foreach, stats, plotly, doParallel, parallel, scales, magrittr, concatenate
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, webshot
NeedsCompilation: yes
Packaged: 2024-02-23 14:07:46 UTC; clmarquart
Repository: CRAN
Date/Publication: 2024-02-23 16:40:02 UTC

More information about rENA at CRAN
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Package npboottprm updated to version 0.2.1 with previous version 0.2.0 dated 2023-11-25

Title: Nonparametric Bootstrap Test with Pooled Resampling
Description: Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. F [...truncated...]
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

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Package escalation updated to version 0.1.8 with previous version 0.1.5 dated 2023-05-29

Title: A Modular Approach to Dose-Finding Clinical Trials
Description: Methods for working with dose-finding clinical trials. We provide implementations of many dose-finding clinical trial designs, including the continual reassessment method (CRM) by O'Quigley et al. (1990) <doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. All designs are implemented with a common interface. We also offer optional additional classes to tailor the behaviour of all designs, including avoiding skipping doses, stopping after n patients have been treated at the recommended [...truncated...]
Author: Kristian Brock [aut, cre] , Daniel Slade [aut] , Michael Sweeting [aut]
Maintainer: Kristian Brock <kristian.brock@gmail.com>

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Package arrow updated to version 14.0.2.1 with previous version 14.0.0.2 dated 2023-12-01

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut, cre], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], Karl Dunkle Werner [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>

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Package AugmenterR (with last version 0.1.0) was removed from CRAN

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

2021-03-18 0.1.0

Permanent link
Package SticsRFiles updated to version 1.2.0 with previous version 1.1.3 dated 2023-07-11

Title: Read and Modify 'STICS' Input/Output Files
Description: Manipulating input and output files of the 'STICS' crop model. Files are either 'JavaSTICS' XML files or text files used by the model 'fortran' executable. Most basic functionalities are reading or writing parameter names and values in both XML or text input files, and getting data from output files. Advanced functionalities include XML files generation from XML templates and/or spreadsheets, or text files generation from XML files by using 'xslt' transformation.
Author: Patrice Lecharpentier [aut, cre] , Remi Vezy [aut] , Samuel Buis [aut] , Michel Giner [aut] , Thomas Robine [ctb], Amine Barkaoui [ctb], Patrick Chabrier [ctb], Julie Constantin [rev], Dominique Ripoche [rev], Marie Launay [rev], Alain Mollier [rev], [...truncated...]
Maintainer: Patrice Lecharpentier <patrice.lecharpentier@inrae.fr>

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Package sps updated to version 0.5.4 with previous version 0.5.3 dated 2023-10-16

Title: Sequential Poisson Sampling
Description: Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate appropriate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
Author: Steve Martin [aut, cre, cph] , Justin Francis [ctb]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package mosaic updated to version 1.9.1 with previous version 1.9.0 dated 2023-11-09

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim [aut, cre], Daniel T. Kaplan [aut], Nicholas J. Horton [aut]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package forceplate updated to version 1.1-1 with previous version 1.1-0 dated 2024-01-31

Title: Processing Force-Plate Data
Description: Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.
Author: Raphae Hartmann [aut, cre] , Anton Koger [aut, ctb] , Leif Johannsen [ctb]
Maintainer: Raphae Hartmann <raphael.hartmann@protonmail.com>

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Package spant updated to version 2.18.0 with previous version 2.17.0 dated 2023-11-28

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>

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Package ltmix updated to version 0.2.2 with previous version 0.2.1 dated 2021-07-05

Title: Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Distributions
Description: Mixture modelling of one-dimensional data using combinations of left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin & Miljkovic, Tatjana. (2019) <doi:10.1016/j.insmatheco.2018.12.001>.
Author: Martin Blostein <martin.blostein@gmail.com> and Tatjana Miljkovic <miljkot@miamioh.edu>
Maintainer: Martin Blostein <martin.blostein@gmail.com>

Diff between ltmix versions 0.2.1 dated 2021-07-05 and 0.2.2 dated 2024-02-23

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New package blockcluster with initial version 4.5.5
Package: blockcluster
Title: Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Version: 4.5.5
Encoding: UTF-8
Date: 2024-01-23
Copyright: Inria
Description: Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The 'blockcluster' package provides a bridge between the C++ core library build on top of the 'STK++' library, and the R statistical computing environment. This package allows to co-cluster binary <doi:10.1016/j.csda.2007.09.007>, contingency <doi:10.1080/03610920903140197>, continuous <doi:10.1007/s11634-013-0161-3> and categorical data-sets <doi:10.1007/s11222-014-9472-2>. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining, Information retrieval, Biology, computer vision and many more. More information about the project and comprehensive tutorial can be found on the link me [...truncated...]
License: GPL (>= 3)
URL: https://gitlab.inria.fr/iovleff/blockcluster
LazyLoad: yes
Depends: R (>= 4.1.0), rtkore (>= 1.6.10)
Imports: methods
LinkingTo: Rcpp, rtkore (>= 1.6.10)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-01-26 08:19:07 UTC; iovleff
Author: Serge Iovleff [aut, cre], Parmeet Singh Bhatia [aut], Josselin Demont [ctb], Vincent Brault [ctb], Vincent Kubicki [ctb], Gerard Goavert [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb]
Maintainer: Serge Iovleff <Serge.Iovleff@stkpp.org>
Repository: CRAN
Date/Publication: 2024-02-23 13:40:02 UTC

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Package BalancedSampling updated to version 2.0.5 with previous version 1.6.3 dated 2022-06-29

Title: Balanced and Spatially Balanced Sampling
Description: Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.
Author: Anton Grafstroem, Jonathan Lisic, Wilmer Prentius
Maintainer: Anton Grafstroem <anton.grafstrom@gmail.com>

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Package shape updated to version 1.4.6.1 with previous version 1.4.6 dated 2021-05-19

Title: Functions for Plotting Graphical Shapes, Colors
Description: Functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...
Author: Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between shape versions 1.4.6 dated 2021-05-19 and 1.4.6.1 dated 2024-02-23

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Package OneStep updated to version 0.9.3 with previous version 0.9.2 dated 2021-01-15

Title: One-Step Estimation
Description: Provide principally an eponymic function that numerically computes the Le Cam's one-step estimator for an independent and identically distributed sample. One-step estimation is asymptotically efficient (see L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator for large observation samples, see e.g. Brouste et al. (2021) <doi:10.32614/RJ-2021-044>.
Author: Alexandre Brouste [aut] , Christophe Dutang [aut, cre] , Darel Noutsa Mieniedou [ctb]
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between OneStep versions 0.9.2 dated 2021-01-15 and 0.9.3 dated 2024-02-23

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Package hbamr updated to version 2.2.1 with previous version 2.2.0 dated 2024-02-14

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The original version of the default model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

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Package ggdendro updated to version 0.2.0 with previous version 0.1.23 dated 2022-02-16

Title: Create Dendrograms and Tree Diagrams Using 'ggplot2'
Description: This is a set of tools for dendrograms and tree plots using 'ggplot2'. The 'ggplot2' philosophy is to clearly separate data from the presentation. Unfortunately the plot method for dendrograms plots directly to a plot device without exposing the data. The 'ggdendro' package resolves this by making available functions that extract the dendrogram plot data. The package provides implementations for 'tree', 'rpart', as well as diana and agnes (from 'cluster') diagrams.
Author: Andrie de Vries [aut, cre], Brian D. Ripley [aut]
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package baytrends updated to version 2.0.11 with previous version 2.0.9 dated 2023-05-25

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions. Methodology described in Murphy (2019) <doi:10.1016/j.envsoft.2019.03.027>.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik W Leppo <Erik.Leppo@tetratech.com>

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Package CUB updated to version 1.1.5 with previous version 1.1.4 dated 2020-03-31

Title: A Class of Mixture Models for Ordinal Data
Description: For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions); Simulation routines, plotting facilities and fitting measures are also provided.
Author: Maria Iannario [aut], Domenico Piccolo [aut], Rosaria Simone [aut, cre]
Maintainer: Rosaria Simone <rosaria.simone@unina.it>

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Package survivalSL updated to version 0.93 with previous version 0.92 dated 2024-02-15

Title: Super Learner for Survival Prediction from Censored Data
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>

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New package luajr with initial version 0.1.6
Package: luajr
Title: 'LuaJIT' Scripting
Version: 0.1.6
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
URL: https://github.com/nicholasdavies/luajr, https://nicholasdavies.github.io/luajr/
BugReports: https://github.com/nicholasdavies/luajr/issues
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: GNU make
Suggests: Rcpp, crayon, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-02-09 15:22:50 UTC; nick
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2024-02-23 10:40:02 UTC

More information about luajr at CRAN
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Package dimensio updated to version 0.6.0 with previous version 0.5.0 dated 2023-11-24

Title: Multivariate Data Analysis
Description: Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
Author: Nicolas Frerebeau [aut, cre] , Jean-Baptiste Fourvel [ctb] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between dimensio versions 0.5.0 dated 2023-11-24 and 0.6.0 dated 2024-02-23

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Package scam updated to version 1.2-16 with previous version 1.2-15 dated 2024-01-25

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-15 dated 2024-01-25 and 1.2-16 dated 2024-02-23

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Package omopgenerics updated to version 0.0.3 with previous version 0.0.2 dated 2024-01-30

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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More information about omopgenerics at CRAN
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Package nflplotR updated to version 1.3.0 with previous version 1.2.0 dated 2023-09-18

Title: NFL Logo Plots in 'ggplot2' and 'gt'
Description: A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between nflplotR versions 1.2.0 dated 2023-09-18 and 1.3.0 dated 2024-02-23

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Package NCA updated to version 4.0.1 with previous version 4.0.0 dated 2024-02-16

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>. NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or [...truncated...]
Author: Jan Dul <jdul@rsm.nl>
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 4.0.0 dated 2024-02-16 and 4.0.1 dated 2024-02-23

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Package nanoarrow updated to version 0.4.0.1 with previous version 0.4.0 dated 2024-02-01

Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between nanoarrow versions 0.4.0 dated 2024-02-01 and 0.4.0.1 dated 2024-02-23

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New package mpathsenser with initial version 1.2.2
Package: mpathsenser
Title: Process and Analyse Data from m-Path Sense
Version: 1.2.2
Description: Overcomes one of the major challenges in mobile (passive) sensing, namely being able to pre-process the raw data that comes from a mobile sensing app, specifically 'm-Path Sense' <https://m-path.io>. The main task of 'mpathsenser' is therefore to read 'm-Path Sense' JSON files into a database and provide several convenience functions to aid in data processing.
License: GPL (>= 3)
URL: https://gitlab.kuleuven.be/ppw-okpiv/researchers/u0134047/mpathsenser/, https://ppw-okpiv.pages.gitlab.kuleuven.be/researchers/u0134047/mpathsenser/
BugReports: https://gitlab.kuleuven.be/ppw-okpiv/researchers/u0134047/mpathsenser/-/issues/
Depends: R (>= 4.0.0)
Imports: DBI, dbplyr, dplyr, furrr, jsonlite, lifecycle, lubridate, purrr, rlang, RSQLite, stats, tibble, tidyr
Suggests: cli, curl, ggplot2, httr, kableExtra, knitr, lintr, progressr, rmarkdown, rvest, sodium, testthat (>= 3.0.0), vroom
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-22 23:25:29 UTC; u0134047
Author: Koen Niemeijer [aut, cre] , Kristof Meers [ctb] , KU Leuven [cph, fnd]
Maintainer: Koen Niemeijer <koen.niemeijer@kuleuven.be>
Repository: CRAN
Date/Publication: 2024-02-23 10:00:02 UTC

More information about mpathsenser at CRAN
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Package mclust updated to version 6.1 with previous version 6.0.1 dated 2023-11-15

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut] , Luca Scrucca [aut, cre] , Thomas Brendan Murphy [ctb] , Michael Fop [ctb]
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

Diff between mclust versions 6.0.1 dated 2023-11-15 and 6.1 dated 2024-02-23

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Package lavaSearch2 updated to version 2.0.3 with previous version 2.0.2 dated 2024-01-23

Title: Tools for Model Specification in the Latent Variable Framework
Description: Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Author: Brice Ozenne [aut, cre]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between lavaSearch2 versions 2.0.2 dated 2024-01-23 and 2.0.3 dated 2024-02-23

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More information about lavaSearch2 at CRAN
Permanent link

Package ggplot2 updated to version 3.5.0 with previous version 3.4.4 dated 2023-10-12

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ggplot2 versions 3.4.4 dated 2023-10-12 and 3.5.0 dated 2024-02-23

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 ggplot2-3.5.0/ggplot2/DESCRIPTION                                                                                |  120 
 ggplot2-3.5.0/ggplot2/LICENSE                                                                                    |    4 
 ggplot2-3.5.0/ggplot2/MD5                                                                                        |  958 ++++---
 ggplot2-3.5.0/ggplot2/NAMESPACE                                                                                  |   68 
 ggplot2-3.5.0/ggplot2/NEWS.md                                                                                    |  405 +++
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 ggplot2-3.5.0/ggplot2/R/aes-evaluation.R                                                                         |    3 
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 ggplot2-3.5.0/ggplot2/R/aes-position.R                                                                           |   12 
 ggplot2-3.5.0/ggplot2/R/aes.R                                                                                    |    9 
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 ggplot2-3.5.0/ggplot2/R/coord-munch.R                                                                            |   36 
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 ggplot2-3.5.0/ggplot2/R/fortify-multcomp.R                                                                       |    2 
 ggplot2-3.5.0/ggplot2/R/fortify.R                                                                                |   59 
 ggplot2-3.5.0/ggplot2/R/geom-.R                                                                                  |   16 
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 ggplot2-3.5.0/ggplot2/R/stat-function.R                                                                          |    4 
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 ggplot2-3.5.0/ggplot2/R/stat-qq.R                                                                                |    2 
 ggplot2-3.5.0/ggplot2/R/stat-quantilemethods.R                                                                   |    2 
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Package genesysr updated to version 2.1.1 with previous version 2.1.0 dated 2023-10-13

Title: Genesys PGR Client
Description: Access data on plant genetic resources from genebanks around the world published on Genesys (<https://www.genesys-pgr.org>). Your use of data is subject to terms and conditions available at <https://www.genesys-pgr.org/content/legal/terms>.
Author: Global Crop Diversity Trust [cph], Matija Obreza [aut, cre], Nora Castaneda [ctb]
Maintainer: Matija Obreza <matija.obreza@croptrust.org>

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Package evinf updated to version 0.8.8 with previous version 0.8.7 dated 2023-09-20

Title: Inference with Extreme Value Inflated Count Data
Description: Allows users to model and draw inferences from extreme value inflated count data, and to evaluate these models and compare to non extreme-value inflated counterparts. The package is built to be compatible with standard presentation tools such as 'broom', 'tidy', and 'modelsummary'.
Author: David Randahl [cre, aut], Johan Vegelius [aut]
Maintainer: David Randahl <david.randahl@pcr.uu.se>

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Package CongreveLamsdell2016 updated to version 1.0.3 with previous version 1.0.2 dated 2020-01-07

Title: Distance Metrics for Trees Generated by Congreve and Lamsdell
Description: Includes the 100 datasets simulated by Congreve and Lamsdell (2016) <doi:10.1111/pala.12236>, and analyses of the partition and quartet distance of reconstructed trees from the generative tree, as analysed by Smith (2019) <doi:10.1098/rsbl.2018.0632>.
Author: Martin R. Smith [aut, cre, cph] , Curtis R. Congreve [cph, dtc], James C. Lamsdell [cph, dtc]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package numbat updated to version 1.4.0 with previous version 1.3.2-1 dated 2023-06-17

Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut], Ruslan Soldatov [aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>

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New package BGGM with initial version 2.1.1
Package: BGGM
Title: Bayesian Gaussian Graphical Models
Version: 2.1.1
Date: 2024-02-22
Description: Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Depends: R (>= 4.3.0)
License: GPL-2
Imports: BFpack (>= 1.2.3), GGally (>= 1.4.0), ggplot2 (>= 3.2.1), ggridges (>= 0.5.1), grDevices, MASS (>= 7.3-51.5), methods, mvnfast (>= 0.2.5), network (>= 1.15), reshape (>= 0.8.8), Rcpp (>= 1.0.4.6), Rdpack (>= 0.11-1), sna (>= 2.5), stats, utils,
Suggests: abind (>= 1.4-5), assortnet (>= 0.12), networktools (>= 1.3.0), mice (>= 3.8.0), psych, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
BugReports: https://github.com/donaldRwilliams/BGGM/issues
NeedsCompilation: yes
Packaged: 2024-02-23 02:03:35 UTC; philippe
Author: Donald Williams [aut], Joris Mulder [aut], Philippe Rast [aut, cre]
Maintainer: Philippe Rast <rast.ph@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-23 08:00:06 UTC

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Package readtext updated to version 0.91 with previous version 0.90 dated 2023-06-03

Title: Import and Handling for Plain and Formatted Text Files
Description: Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.html', '.pdf', '.doc', '.docx', '.rtf', '.xls', '.xlsx', and others.
Author: Kenneth Benoit [aut, cre, cph], Adam Obeng [aut], Kohei Watanabe [ctb], Akitaka Matsuo [ctb], Paul Nulty [ctb], Stefan Mueller [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.