Fri, 21 Nov 2025

Package IOHanalyzer updated to version 0.1.8.17 with previous version 0.1.8.10 dated 2024-03-01

Title: Data Analysis Part of 'IOHprofiler'
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
Author: Hao Wang [aut] , Diederick Vermetten [cre, aut] , Carola Doerr [aut] , Thomas Baeck [aut]
Maintainer: Diederick Vermetten <d.l.vermetten@liacs.leidenuniv.nl>

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Package grates updated to version 1.7.0 with previous version 1.6.0 dated 2025-08-26

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package ReliaShiny (with last version 0.4) was removed from CRAN

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2025-11-11 0.4

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Package WeibullR.learnr (with last version 0.2.1) was removed from CRAN

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

2025-07-16 0.2.1
2024-11-04 0.2
2024-07-09 0.1.3
2023-06-06 0.1.1

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Package ReliaPlotR (with last version 0.4.1) was removed from CRAN

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

2025-10-31 0.4.1
2025-10-15 0.4

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Package TidyConsultant (with last version 0.1.1) was removed from CRAN

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2024-06-07 0.1.1

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Package WeibullR.plotly (with last version 0.3.2) was removed from CRAN

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

2025-09-24 0.3.2
2025-07-16 0.3.1
2024-11-06 0.3
2024-07-08 0.2.1
2023-10-14 0.2.0
2023-06-09 0.1.5
2023-05-31 0.1.2

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Package WeibullR.shiny (with last version 0.3.1) was removed from CRAN

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

2025-07-20 0.3.1
2024-11-13 0.3
2024-07-12 0.2.1
2023-10-18 0.2.0
2023-06-12 0.1.2

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Package ReliaGrowR (with last version 0.3) was removed from CRAN

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2025-11-07 0.3
2025-09-21 0.2
2025-07-13 0.1.5
2025-05-16 0.1.4
2024-11-15 0.1.3
2024-11-01 0.1.1
2024-09-19 0.1.0

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Package utility updated to version 1.4.7 with previous version 1.4.6 dated 2023-08-27

Title: Construct, Evaluate and Plot Value and Utility Functions
Description: Construct and plot objective hierarchies and associated value and utility functions. Evaluate the values and utilities and visualize the results as colored objective hierarchies or tables. Visualize uncertainty by plotting median and quantile intervals within the nodes of objective hierarchies. Get numerical results of the evaluations in standard R data types for further processing.
Author: Peter Reichert [cre, aut], Nele Schuwirth [aut]
Maintainer: Peter Reichert <peter.reichert@emeriti.eawag.ch>

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Package SSP updated to version 1.1.0 with previous version 1.0.2 dated 2025-04-24

Title: Simulated Sampling Procedure for Community Ecology
Description: The Simulation-based Sampling Protocol (SSP) is an R package designed to estimate sampling effort in studies of ecological communities. It is based on the concept of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015, <doi:10.1111/ele.12385>) and the simulation of ecological data. The theoretical background is described in Guerra-Castro et al. (2020, <doi:10.1111/ecog.05284>).
Author: Edlin Guerra-Castro [aut, cre], Maite Mascaro [aut], Nuno Simoes [aut], Juan Cruz-Motta [aut], Juan Cajas [aut]
Maintainer: Edlin Guerra-Castro <edlinguerra@gmail.com>

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Package spatstat.random updated to version 3.4-3 with previous version 3.4-2 dated 2025-09-21

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [aut, cph] , Kasper Klitgaard Berthelsen [ctb, cph], David Bryant [ctb, cph], Ya-Mei Chang [ctb, cph], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Sc [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package sfsmisc updated to version 1.1-23 with previous version 1.1-22 dated 2025-09-01

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package qs2 updated to version 0.1.6 with previous version 0.1.5 dated 2025-03-07

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package emld updated to version 0.5.2 with previous version 0.5.1 dated 2020-09-27

Title: Ecological Metadata as Linked Data
Description: This is a utility for transforming Ecological Metadata Language ('EML') files into 'JSON-LD' and back into 'EML.' Doing so creates a list-based representation of 'EML' in R, so that 'EML' data can easily be manipulated using standard 'R' tools. This makes this package an effective backend for other 'R'-based tools working with 'EML.' By abstracting away the complexity of 'XML' Schema, developers can build around native 'R' list objects and not have to worry about satisfying many of the additional constraints of set by the schema (such as element ordering, which is handled automatically). Additionally, the 'JSON-LD' representation enables the use of developer-friendly 'JSON' parsing and serialization that may facilitate the use of 'EML' in contexts outside of 'R,' as well as the informatics-friendly serializations such as 'RDF' and 'SPARQL' queries.
Author: Carl Boettiger [aut, cre, cph] , Matthew B. Jones [aut, cph] , Bryce Mecum [aut, cph]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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