Mon, 14 Apr 2025

Package rtiktoken updated to version 0.0.7 with previous version 0.0.6 dated 2024-11-06

Title: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large Language Models
Description: A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.
Author: David Zimmermann-Kollenda [aut, cre], Roger Zurawicki [aut] , Authors of the dependent Rust crates [aut]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

Diff between rtiktoken versions 0.0.6 dated 2024-11-06 and 0.0.7 dated 2025-04-14

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Package RcppPlanc updated to version 2.0.4 with previous version 2.0.3 dated 2025-04-07

Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , UT-Batelle [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>

Diff between RcppPlanc versions 2.0.3 dated 2025-04-07 and 2.0.4 dated 2025-04-14

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Package rbm25 updated to version 0.0.4 with previous version 0.0.3 dated 2025-01-16

Title: A Light Wrapper Around the 'BM25' 'Rust' Crate for Okapi BM25 Text Search
Description: BM25 is a ranking function used by search engines to rank matching documents according to their relevance to a user's search query. This package provides a light wrapper around the 'BM25' 'rust' crate for Okapi BM25 text search. For more information, see Robertson et al. (1994) <https://trec.nist.gov/pubs/trec3/t3_proceedings.html>.
Author: David Zimmermann-Kollenda [aut, cre], Michael Barlow [aut] , Authors of the dependency Rust crates [aut]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

Diff between rbm25 versions 0.0.3 dated 2025-01-16 and 0.0.4 dated 2025-04-14

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Package r311 updated to version 0.4.3 with previous version 0.3.7 dated 2024-07-16

Title: Interface to the 'open311' Standard
Description: Access and handle APIs that use the international 'open311' 'GeoReport v2' standard for civic issue tracking <https://wiki.open311.org/GeoReport_v2/>. Retrieve civic service types and request data. Select and add available 'open311' endpoints and jurisdictions. Implicitly supports custom queries and 'open311' extensions. Requires a minimal number of hard dependencies while still allowing the integration in common R formats ('xml2', 'tibble', 'sf').
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>

Diff between r311 versions 0.3.7 dated 2024-07-16 and 0.4.3 dated 2025-04-14

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Package jetty updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-24

Title: Execute R in a 'Docker' Context
Description: The goal of 'jetty' is to execute R functions and code snippets in an isolated R subprocess within a 'Docker' container and return the evaluated results to the local R session. 'jetty' can install necessary packages at runtime and seamlessly propagates errors and outputs from the 'Docker' subprocess back to the main session. 'jetty' is primarily designed for sandboxed testing and quick execution of example code.
Author: Daniel Molitor [aut, cph, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>

Diff between jetty versions 0.2.0 dated 2025-01-24 and 0.2.1 dated 2025-04-14

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Package MultiOrd updated to version 2.4.4 with previous version 2.4.3 dated 2021-03-05

Title: Generation of Multivariate Ordinal Variates
Description: A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <DOI:10.1080/10629360600569246>.
Author: Anup Amatya [aut], Hakan Demirtas [aut], Ran Gao [aut, cre]
Maintainer: Ran Gao <rgao8@uic.edu>

Diff between MultiOrd versions 2.4.3 dated 2021-03-05 and 2.4.4 dated 2025-04-14

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Package msigdbr updated to version 10.0.2 with previous version 10.0.1 dated 2025-03-19

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

Diff between msigdbr versions 10.0.1 dated 2025-03-19 and 10.0.2 dated 2025-04-14

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Package BinNor updated to version 2.3.4 with previous version 2.3.3 dated 2021-03-05

Title: Simultaneous Generation of Multivariate Binary and Normal Variates
Description: Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012) <DOI:10.1080/10543406.2010.521874>.
Author: Anup Amatya [aut], Hakan Demirtas [aut], Ran Gao [aut, cre]
Maintainer: Ran Gao <rgao8@uic.edu>

Diff between BinNor versions 2.3.3 dated 2021-03-05 and 2.3.4 dated 2025-04-14

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Package scs updated to version 3.2.7 with previous version 3.2.4 dated 2023-04-11

Title: Splitting Conic Solver
Description: Solves convex cone programs via operator splitting. Can solve: linear programs ('LPs'), second-order cone programs ('SOCPs'), semidefinite programs ('SDPs'), exponential cone programs ('ECPs'), and power cone programs ('PCPs'), or problems with any combination of those cones. 'SCS' uses 'AMD' (a set of routines for permuting sparse matrices prior to factorization) and 'LDL' (a sparse 'LDL' factorization and solve package) from 'SuiteSparse' (<https://people.engr.tamu.edu/davis/suitesparse.html>).
Author: Florian Schwendinger [aut, cre], Brendan O'Donoghue [aut, cph], Balasubramanian Narasimhan [aut], Timothy A. Davis [cph], Patrick R. Amestory [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between scs versions 3.2.4 dated 2023-04-11 and 3.2.7 dated 2025-04-14

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Package microinverterdata updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-24

Title: Collect your Microinverter Data
Description: Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports 'APSystems', 'Enphase', and 'Fronius' microinverters.
Author: Christophe Regouby [aut, cre, cph]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>

Diff between microinverterdata versions 0.2.0 dated 2024-10-24 and 0.3.0 dated 2025-04-14

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Package crew.cluster updated to version 0.3.7 with previous version 0.3.4 dated 2025-02-05

Title: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Michael Gilbert Levin [aut] , Brendan Furneaux [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.cluster versions 0.3.4 dated 2025-02-05 and 0.3.7 dated 2025-04-14

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Package crew.aws.batch updated to version 0.0.10 with previous version 0.0.8 dated 2025-02-05

Title: A Crew Launcher Plugin for AWS Batch
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.aws.batch' package extends the 'mirai'-powered 'crew' package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.aws.batch versions 0.0.8 dated 2025-02-05 and 0.0.10 dated 2025-04-14

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Package awdb updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-26

Title: Query the USDA NWCC Air and Water Database REST API
Description: Query the four endpoints of the 'Air and Water Database (AWDB) REST API' maintained by the National Water and Climate Center (NWCC) at the United States Department of Agriculture (USDA). Endpoints include data, forecast, reference-data, and metadata. The package is extremely light weight, with 'Rust' via 'extendr' doing most of the heavy lifting to deserialize and flatten deeply nested 'JSON' responses. The AWDB can be found at <https://wcc.sc.egov.usda.gov/awdbRestApi/swagger-ui/index.html>.
Author: Kenneth Blake Vernon [aut, cre, cph]
Maintainer: Kenneth Blake Vernon <kenneth.b.vernon@gmail.com>

Diff between awdb versions 0.1.1 dated 2025-02-26 and 0.1.2 dated 2025-04-14

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Package wxgenR updated to version 1.4.4 with previous version 1.4.3 dated 2025-03-14

Title: A Stochastic Weather Generator with Seasonality
Description: A weather generator to simulate precipitation and temperature for regions with seasonality. Users input training data containing precipitation, temperature, and seasonality (up to 26 seasons). Including weather season as a training variable allows users to explore the effects of potential changes in season duration as well as average start- and end-time dates due to phenomena like climate change. Data for training should be a single time series but can originate from station data, basin averages, grid cells, etc. Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)." Bureau of Reclamation. Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt, T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic weather generator for climate impacts assessment in the Lower Santa Cruz River Basin, Arizona." Fall Meeting 2019, American Geophysical Union. <https://ui.adsabs.ha [...truncated...]
Author: Subhrendu Gangopadhyay [aut], Lindsay Bearup [aut], David Woodson [aut, cre], Marketa McGuire [aut], Andrew Verdin [aut], Eylon Shamir [aut], Eve Halper [aut]
Maintainer: David Woodson <dwoodson@usbr.gov>

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Package predhy.GUI updated to version 2.1 with previous version 2.0.1 dated 2024-06-17

Title: Genomic Prediction of Hybrid Performance with Graphical User Interface
Description: Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, XGBoost and LightGBM. GBLUP: genomic best liner unbiased prediction, RKHS: reproducing kernel Hilbert space, PLS: partial least squares regression, LASSO: least absolute shrinkage and selection operator, XGBoost: extreme gradient boosting, LightGBM: light gradient boosting machine. It also provides fast cross-validation and mating design scheme for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).
Author: Yang Xu [aut], Guangning Yu [aut], Yuxiang Zhang [aut, cre], Yanru Cui [ctb], Shizhong Xu [ctb], Chenwu Xu [ctb]
Maintainer: Yuxiang Zhang <yuxiangzhang_99@foxmail.com>

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Package vectorsurvR updated to version 1.3.1 with previous version 1.3.0 dated 2025-01-07

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

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Package sparseR updated to version 0.3.2 with previous version 0.3.1 dated 2024-07-17

Title: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
Description: An implementation of ranked sparsity methods, including penalized regression methods such as the sparsity-ranked lasso, its non-convex alternatives, and elastic net, as well as the sparsity-ranked Bayesian Information Criterion. As described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with methods primarily useful for variable selection in the presence of prior informational asymmetry, which occurs in the context of trying to perform variable selection in the presence of interactions and/or polynomials. Ultimately, this package attempts to facilitate dealing with cumbersome interactions and polynomials while not avoiding them entirely. Typically, models selected under ranked sparsity principles will also be more transparent, having fewer falsely selected interactions and polynomials than other methods.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

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Package sparsevctrs updated to version 0.3.3 with previous version 0.3.2 dated 2025-03-21

Title: Sparse Vectors for Use in Data Frames
Description: Provides sparse vectors powered by ALTREP (Alternative Representations for R Objects) that behave like regular vectors, and can thus be used in data frames. Also provides tools to convert between sparse matrices and data frames with sparse columns and functions to interact with sparse vectors.
Author: Emil Hvitfeldt [aut, cre] , Davis Vaughan [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package infer updated to version 1.0.8 with previous version 1.0.7 dated 2024-03-25

Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Author: Andrew Bray [aut], Chester Ismay [aut] , Evgeni Chasnovski [aut] , Simon Couch [aut, cre] , Ben Baumer [aut] , Mine Cetinkaya-Rundel [aut] , Ted Laderas [ctb] , Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb] , Neal Fultz [ctb], Doug Fr [...truncated...]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package ctrdata updated to version 1.22.0 with previous version 1.21.1 dated 2025-03-15

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial concepts canonically across registers, identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the re [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package collapse updated to version 2.1.1 with previous version 2.1.0 dated 2025-03-10

Title: Advanced and Fast Data Transformation
Description: A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It seamlessly supports base R objects/classes [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], Alina Cherkas [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999- [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package torchvisionlib updated to version 0.6.0 with previous version 0.5.0 dated 2024-02-15

Title: Additional Operators for Image Models
Description: Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.
Author: Daniel Falbel [aut, cre], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package networkD3 updated to version 0.4.1 with previous version 0.4 dated 2017-03-18

Title: D3 JavaScript Network Graphs from R
Description: Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.
Author: J.J. Allaire [aut], Peter Ellis [ctb], Christopher Gandrud [aut, cre], Kevin Kuo [ctb], B.W. Lewis [ctb], Jonathan Owen [ctb], Kenton Russell [aut], Jennifer Rogers [ctb], Charles Sese [ctb], CJ Yetman [aut]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

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Package gaselect updated to version 1.0.23 with previous version 1.0.22 dated 2023-12-11

Title: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Description: Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
Author: David Kepplinger [aut, cre]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

Diff between gaselect versions 1.0.22 dated 2023-12-11 and 1.0.23 dated 2025-04-14

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Package dunlin updated to version 0.1.10 with previous version 0.1.9 dated 2025-02-20

Title: Preprocessing Tools for Clinical Trial Data
Description: A collection of functions to preprocess data and organize them in a format amenable to use by chevron.
Author: Liming Li [aut] , Benoit Falquet [aut] , Xiaoli Duan [ctb], Pawel Rucki [ctb], Joe Zhu [cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between dunlin versions 0.1.9 dated 2025-02-20 and 0.1.10 dated 2025-04-14

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More information about dunlin at CRAN
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Package complmrob updated to version 0.7.1 with previous version 0.7.0 dated 2019-09-17

Title: Robust Linear Regression with Compositional Data as Covariates
Description: Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.
Author: David Kepplinger [aut, cre]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

Diff between complmrob versions 0.7.0 dated 2019-09-17 and 0.7.1 dated 2025-04-14

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Package clustur updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-25

Title: Clustering
Description: A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
Author: Gregory Johnson [aut] , Sarah Westcott [aut], Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>

Diff between clustur versions 0.1.1 dated 2024-11-25 and 0.1.2 dated 2025-04-14

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Permanent link

Package RcmdrPlugin.temis updated to version 0.7.12 with previous version 0.7.10 dated 2018-06-22

Title: Graphical Integrated Text Mining Solution
Description: An 'R Commander' plug-in providing an integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, vocabulary tables, terms co-occurrences and documents similarity measures, time series analysis, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between RcmdrPlugin.temis versions 0.7.10 dated 2018-06-22 and 0.7.12 dated 2025-04-14

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Package pdfsearch updated to version 0.4.1 with previous version 0.3.0 dated 2019-01-09

Title: Search Tools for PDF Files
Description: Includes functions for keyword search of pdf files. There is also a wrapper that includes searching of all files within a single directory.
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+pdfsearch@gmail.com>

Diff between pdfsearch versions 0.3.0 dated 2019-01-09 and 0.4.1 dated 2025-04-14

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Package urlparse updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-06

Title: Fast Simple URL Parser
Description: A fast and simple 'URL' parser package for 'R'. This package provides functions to parse 'URLs' into their components, such as scheme, user, password, host, port, path, query, and fragment.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between urlparse versions 0.2.0 dated 2025-02-06 and 0.2.1 dated 2025-04-14

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Package tern updated to version 0.9.8 with previous version 0.9.7 dated 2025-01-17

Title: Create Common TLGs Used in Clinical Trials
Description: Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.
Author: Joe Zhu [aut, cre] , Daniel Sabanes Bove [aut], Jana Stoilova [aut], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [aut] , Heng Wang [aut], Francois Collin [aut], Adrian Waddell [aut], Pawel Rucki [aut], Chendi Liao [aut], Jenni [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package simDNAmixtures updated to version 1.1.2 with previous version 1.0.1 dated 2022-05-04

Title: Simulate Forensic DNA Mixtures
Description: Mixed DNA profiles can be sampled according to models for probabilistic genotyping. Peak height variability is modelled using a log normal distribution or a gamma distribution. Sample contributors may be related according to a pedigree.
Author: Maarten Kruijver [aut, cre]
Maintainer: Maarten Kruijver <maarten.kruijver@esr.cri.nz>

Diff between simDNAmixtures versions 1.0.1 dated 2022-05-04 and 1.1.2 dated 2025-04-14

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Package netseg updated to version 1.0-3 with previous version 1.0-2 dated 2023-07-01

Title: Measures of Network Segregation and Homophily
Description: Segregation is a network-level property such that edges between predefined groups of vertices are relatively less likely. Network homophily is a individual-level tendency to form relations with people who are similar on some attribute (e.g. gender, music taste, social status, etc.). In general homophily leads to segregation, but segregation might arise without homophily. This package implements descriptive indices measuring homophily/segregation. It is a computational companion to Bojanowski & Corten (2014) <doi:10.1016/j.socnet.2014.04.001>.
Author: Michal Bojanowski [aut, cre]
Maintainer: Michal Bojanowski <michal2992@gmail.com>

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Package incidence2 updated to version 2.6.2 with previous version 2.6.1 dated 2025-03-11

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted.
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package periscope2 updated to version 0.2.4 with previous version 0.2.3 dated 2024-03-06

Title: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description: A framework for building enterprise, scalable and UI-standardized 'shiny' applications. It brings enhanced features such as 'bootstrap' v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced 'shiny' modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the 'shiny' developers' experience when building and maintaining applications.
Author: Mohammed Ali [aut, cre], Constance Brett [ctb], Aggregate Genius Inc [spn]
Maintainer: Mohammed Ali <mohammed@aggregate-genius.com>

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Package gamlss.inf updated to version 1.0-2 with previous version 1.0-1 dated 2019-03-12

Title: Fitting Mixed (Inflated and Adjusted) Distributions
Description: This is an add-on package to 'gamlss'. The purpose of this package is to allow users to fit GAMLSS (Generalised Additive Models for Location Scale and Shape) models when the response variable is defined either in the intervals [0,1), (0,1] and [0,1] (inflated at zero and/or one distributions), or in the positive real line including zero (zero-adjusted distributions). The mass points at zero and/or one are treated as extra parameters with the possibility to include a linear predictor for both. The package also allows transformed or truncated distributions from the GAMLSS family to be used for the continuous part of the distribution. Standard methods and GAMLSS diagnostics can be used with the resulting fitted object.
Author: Marco Enea [aut, cre, cph], Mikis Stasinopoulos [aut], Bob Rigby [aut], Abu Hossain [aut]
Maintainer: Marco Enea <marco.enea@unipa.it>

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Package RepeatedHighDim updated to version 2.4.0 with previous version 2.3.0 dated 2024-04-25

Title: Methods for High-Dimensional Repeated Measures Data
Description: A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
Author: Klaus Jung [aut, cre], Jochen Kruppa [aut], Sergej Ruff [aut]
Maintainer: Klaus Jung <klaus.jung@tiho-hannover.de>

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Package OmopSketch updated to version 0.3.2 with previous version 0.3.1 dated 2025-03-16

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package neojags updated to version 0.1.6 with previous version 0.1.5 dated 2024-10-10

Title: Neo-Normal Distributions Family for Markov Chain Monte Carlo (MCMC) Models in 'JAGS'
Description: A 'JAGS' extension module provides neo-normal distributions family including MSNBurr, MSNBurr-IIa, GMSNBurr, Lunetta Exponential Power, Fernandez-Steel Skew t, Fernandez-Steel Skew Normal, Fernandez-Osiewalski-Steel Skew Exponential Power, Jones Skew Exponential Power. References: Choir, A. S. (2020). "The New Neo-Normal Distributions and Their Properties".Unpublished Dissertation. Denwood, M.J. (2016) <doi:10.18637/jss.v071.i09>. Fernandez, C., Osiewalski, J., & Steel, M. F. (1995) <doi:10.1080/01621459.1995.10476637>. Fernandez, C., & Steel, M. F. (1998) <doi:10.1080/01621459.1998.10474117>. Iriawan, N. (2000). "Computationally Intensive Approaches to Inference in NeoNormal Linear Models".Unpublished Dissertation. Mineo, A., & Ruggieri, M. (2005) <doi:10.18637/jss.v012.i04>. Rigby, R. A., & Stasinopoulos, D. M. (2005) <doi:10.1111/j.1467-9876.2005.00510.x>. Lunetta, G. (1963). "Di una Generalizzazione dello Schema della Curva Normale". Ri [...truncated...]
Author: Achmad Syahrul Choir [aut, cre], Resi Ramadani [aut], Nur Iriawan [aut], S Sifa'ul Khusna Malikhatul Mutmainah [ctb], Matthew Denwood [cph], Martyn Plummer [cph]
Maintainer: Achmad Syahrul Choir <madsyair@stis.ac.id>

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Package ecolottery updated to version 1.0.1 with previous version 1.0.0 dated 2017-07-03

Title: Coalescent-Based Simulation of Ecological Communities
Description: Coalescent-Based Simulation of Ecological Communities as proposed by Munoz et al. (2018) <doi:10.1111/2041-210X.12918>. The package includes a tool for estimating parameters of community assembly by using Approximate Bayesian Computation.
Author: Francois Munoz [aut, cre], Matthias Grenie [aut], Pierre Denelle [aut], Adrien Taudiere [ctb], Fabien Laroche [ctb], Caroline Tucker [ctb], Cyrille Violle [ctb]
Maintainer: Francois Munoz <francois.munoz@hotmail.fr>

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Package maq updated to version 0.6.0 with previous version 0.5.0 dated 2024-11-14

Title: Multi-Armed Qini
Description: Policy evaluation using generalized Qini curves: Evaluate data-driven treatment targeting rules for one or more treatment arms over different budget constraints in experimental or observational settings under unconfoundedness.
Author: Erik Sverdrup [aut, cre], Han Wu [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

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Package ympes updated to version 1.9.0 with previous version 1.8.0 dated 2025-02-05

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include functions for minimal input assertions, visualising colour palettes, quoting user input, searching rows of a data frame and capturing string tokens.
Author: Tim Taylor [aut, cre, cph] , R Core Team [cph] , Toby Hocking [cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package VertexWiseR updated to version 1.3.1 with previous version 1.3.0 dated 2025-03-18

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'HCP' and 'CAT12' preprocessed datasets and 'HippUnfold' hippocampal segmentation outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

Diff between VertexWiseR versions 1.3.0 dated 2025-03-18 and 1.3.1 dated 2025-04-14

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Package tidyterra updated to version 0.7.2 with previous version 0.7.1 dated 2025-04-07

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph] , Andrea Manica [ctb]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package SSDM updated to version 0.2.10 with previous version 0.2.9 dated 2023-10-24

Title: Stacked Species Distribution Modelling
Description: Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Author: Sylvain Schmitt [aut, cre], Robin Pouteau [aut], Dimitri Justeau [aut], Florian de Boissieu [aut], Lukas Baumbach [aut], Philippe Birnbaum [aut]
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>

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Package sGBJ updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-15

Title: Survival Extension of the Generalized Berk-Jones Test
Description: Implements an extension of the Generalized Berk-Jones (GBJ) statistic for survival data, sGBJ. It computes the sGBJ statistic and its p-value for testing the association between a gene set and a time-to-event outcome with possible adjustment on additional covariates. Detailed method is available at Villain L, Ferte T, Thiebaut R and Hejblum BP (2021) <doi:10.1101/2021.09.07.459329>.
Author: Laura Villain [aut, cre], Thomas Ferte [aut], Rodolphe Thiebault [aut], Boris P. Hejblum [aut]
Maintainer: Laura Villain <sistm.soft.maintain@gmail.com>

Diff between sGBJ versions 0.1.0 dated 2021-09-15 and 0.1.1 dated 2025-04-14

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Package gtsummary updated to version 2.2.0 with previous version 2.1.0 dated 2025-02-19

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] , Joseph Larmarange [aut] , Michael Curry [aut] , Emily de la Rua [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Esther Drill [ctb] , Jessica Flynn [ctb] , Margie Hannum [ctb [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package FlexReg updated to version 1.3.1 with previous version 1.3.0 dated 2023-09-29

Title: Regression Models for Bounded Continuous and Discrete Responses
Description: Functions to fit regression models for bounded continuous and discrete responses. In case of bounded continuous responses (e.g., proportions and rates), available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) <doi:10.1214/17-BA1079>), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) <doi:10.1177/1471082X18821213>), the beta (Ferrari, S.L.P., Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>), and their augmented versions to handle the presence of zero/one values (Di Brisco, A. M., Migliorati, S. (2020) <doi:10.1002/sim.8406>) are implemented. In case of bounded discrete responses (e.g., bounded counts, such as the number of successes in n trials), available models are the flexible beta-binomial (Ascari, R., Migliorati, S. (2021) <doi:10.1002/sim.9005>), the beta-binomial, and the binomial are implemented. Inference is dealt with a Bayesian approach based on the Hamiltonian Monte C [...truncated...]
Author: Roberto Ascari [aut, cre], Agnese M. Di Brisco [aut], Sonia Migliorati [aut], Andrea Ongaro [aut]
Maintainer: Roberto Ascari <roberto.ascari@unimib.it>

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Package diceplot updated to version 0.1.7 with previous version 0.1.6 dated 2025-03-20

Title: High Dimensional Categorical Data Visualization
Description: Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

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Package BREADR updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-09

Title: Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data
Description: The goal of the package is to provide an easy-to-use method for estimating degrees of relatedness (up to the second degree) for extreme low-coverage data. The package also allows users to quantify and visualise the level of confidence in the estimated degrees of relatedness.
Author: Jono Tuke [aut, cre] , Adam B. Rohrlach [aut] , Wolfgang Haak [aut] , Divyaratan Popli [aut]
Maintainer: Jono Tuke <simon.tuke@adelaide.edu.au>

Diff between BREADR versions 1.0.2 dated 2024-09-09 and 1.0.3 dated 2025-04-14

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Package RTriangle updated to version 1.6-0.15 with previous version 1.6-0.14 dated 2024-09-04

Title: Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator
Description: This is a port of Jonathan Shewchuk's Triangle library to R. From his description: "Triangle generates exact Delaunay triangulations, constrained Delaunay triangulations, conforming Delaunay triangulations, Voronoi diagrams, and high-quality triangular meshes. The latter can be generated with no small or large angles, and are thus suitable for finite element analysis."
Author: Jonathan Richard Shewchuk [ctb, cph], David C. Sterratt [cph, aut, cre], Elias Pipping [ctb], Michael Sumner [ctb]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>

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Package lpSolveAPI updated to version 5.5.2.0-17.14 with previous version 5.5.2.0-17.12 dated 2024-07-19

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve [aut], Kjell Konis [aut], Florian Schwendinger [aut, cre], Kurt Hornik [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package surveyvoi updated to version 1.1.1 with previous version 1.0.6 dated 2024-02-16

Title: Survey Value of Information
Description: Decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management, it can be used to generate and evaluate plans for surveying additional sites. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental algorithms. After generating such survey plans, they can be evaluated using conditions) and maximizing value of information. Please note that several functions depend on the 'Gurobi' optimization software (available from <https://www.gurobi.com>). Additionally, the 'JAGS' software (available from <https://mcmc-jags.sourceforge.io/>) is required to fit hierarchical generalized linear models. For further details, see Hanson et al. (2023) &l [...truncated...]
Author: Jeffrey O Hanson [aut, cre] , Iadine Chades [aut] , Emma J Hudgins [aut] , Joseph R Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package nprobust updated to version 0.5.0 with previous version 0.4.0 dated 2020-08-26

Title: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation
Description: Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo and Farrell (2018, <doi:10.1080/01621459.2017.1285776>): 'lprobust()' for local polynomial point estimation and robust bias-corrected inference, 'lpbwselect()' for local polynomial bandwidth selection, 'kdrobust()' for kernel density point estimation and robust bias-corrected inference, 'kdbwselect()' for kernel density bandwidth selection, and 'nprobust.plot()' for plotting results. The main methodological and numerical features of this package are described in Calonico, Cattaneo and Farrell (2019, <doi:10.18637/jss.v091.i08>).
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>

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Package memisc updated to version 0.99.31.8.3 with previous version 0.99.31.8.2 dated 2025-02-23

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff [aut, cre], Christopher N. Lawrence [ctb], Dave Atkins [ctb], Jason W. Morgan [ctb], Achim Zeileis [ctb], Mael Astruc-Le Souder [ctb], Kiril Mueller [ctb], Pieter Schoonees [ctb]
Maintainer: Martin Elff <memisc@elff.eu>

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Package kelvin updated to version 2.0-3 with previous version 2.0-2 dated 2020-06-18

Title: Calculate Solutions to the Kelvin Differential Equation using Bessel Functions
Description: Uses Bessel functions to calculate the fundamental and complementary analytic solutions to the Kelvin differential equation.
Author: Andrew J. Barbour [aut, cre]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>

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Package features updated to version 2025.1 with previous version 2015.12-1 dated 2015-12-01

Title: Feature Extraction for Discretely-Sampled Functional Data
Description: Discretely-sampled function is first smoothed. Features of the smoothed function are then extracted. Some of the key features include mean value, first and second derivatives, critical points (i.e. local maxima and minima), curvature of cunction at critical points, wiggliness of the function, noise in data, and outliers in data.
Author: Ravi Varadhan [aut, cre], Johns Hopkins University [aut], MKG Subramaniam [aut], AT&T Reserach Labs. [aut]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package MPV updated to version 2.0 with previous version 1.64 dated 2024-08-17

Title: Data Sets from Montgomery, Peck and Vining
Description: Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis (3rd ed), by Montgomery, Peck and Vining. Some additional data sets and functions are also included.
Author: W.J. Braun [aut, cre], S. MacQueen [aut]
Maintainer: W.J. Braun <john.braun@ubc.ca>

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