Thu, 10 Oct 2024

Package PwrGSD updated to version 2.3.8 with previous version 2.3.7 dated 2024-07-26

Title: Power in a Group Sequential Design
Description: Tools for the evaluation of interim analysis plans for sequentially monitored trials on a survival endpoint; tools to construct efficacy and futility boundaries, for deriving power of a sequential design at a specified alternative, template for evaluating the performance of candidate plans at a set of time varying alternatives. See Izmirlian, G. (2014) <doi:10.4310/SII.2014.v7.n1.a4>.
Author: Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>

Diff between PwrGSD versions 2.3.7 dated 2024-07-26 and 2.3.8 dated 2024-10-10

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Package hdflex updated to version 0.3.0 with previous version 0.2.1 dated 2024-02-29

Title: High-Dimensional Aggregate Density Forecasts
Description: Provides a forecasting method that efficiently maps vast numbers of (scalar-valued) signals into an aggregate density forecast in a time-varying and computationally fast manner. The method proceeds in two steps: First, it transforms a predictive signal into a density forecast and, second, it combines the resulting candidate density forecasts into an ultimate aggregate density forecast. For a detailed explanation of the method, please refer to Adaemmer et al. (2023) <doi:10.2139/ssrn.4342487>.
Author: Sven Lehmann [aut, cre, cph], Philipp Adaemmer [aut], Rainer Schuessler [aut]
Maintainer: Sven Lehmann <sven.lehmann@uni-rostock.de>

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Package CEC updated to version 0.11.2 with previous version 0.11.1 dated 2024-01-08

Title: Cross-Entropy Clustering
Description: Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
Author: Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between CEC versions 0.11.1 dated 2024-01-08 and 0.11.2 dated 2024-10-10

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Package APackOfTheClones updated to version 1.2.1 with previous version 1.2.0 dated 2024-04-16

Title: Visualization of Clonal Expansion for Single Cell Immune Profiles
Description: Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles. The method was originally implemented by Murray Christian and Ben Murrell in the following immunology study: Ma et al. (2021) <doi:10.1126/sciimmunol.abg6356>.
Author: Qile Yang [cre, aut, cph]
Maintainer: Qile Yang <qile.yang@berkeley.edu>

Diff between APackOfTheClones versions 1.2.0 dated 2024-04-16 and 1.2.1 dated 2024-10-10

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 R/APOTCPlot.R                                                                    |    6 
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 R/AdjustAPOTC.R                                                                  |    4 
 R/ApotcClonalNetwork.R                                                           |   22 
 R/ApotcData.R                                                                    |   12 
 R/ApotcIndexing.R                                                                |   15 
 R/Main_algo.R                                                                    |   68 
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 R/RunAPOTC.R                                                                     |   23 
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 R/colors.R                                                                       |    4 
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 R/plot_API.R                                                                     |    4 
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 R/vizAPOTC.R                                                                     |   17 
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 man/removeLegend.Rd                                                              |    4 
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 man/vizAPOTC.Rd                                                                  |   10 
 src/APOTCPlotHelpers.cpp                                                         |    2 
 src/Circle.h                                                                     |    2 
 src/CirclePacker.h                                                               |   14 
 src/CloneLinkHelpers.cpp                                                         |    2 
 src/ClusterList.h                                                                |    2 
 src/dataConversion.h                                                             |    2 
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Package naijR updated to version 0.6.1 with previous version 0.6.0 dated 2023-08-08

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] , Laura DeCicco [ctb], Emily Riederer [rev], Margaret Siple [rev], Cagri Alican [rev]
Maintainer: Victor Ordu <victorordu@outlook.com>

Diff between naijR versions 0.6.0 dated 2023-08-08 and 0.6.1 dated 2024-10-10

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Package netUtils updated to version 0.8.3 with previous version 0.8.2 dated 2023-06-29

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between netUtils versions 0.8.2 dated 2023-06-29 and 0.8.3 dated 2024-10-10

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New package rdss with initial version 1.0.12
Package: rdss
Title: Companion Datasets and Functions for Research Design in the Social Sciences
Version: 1.0.12
Description: Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Imports: dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr, dataverse, readr, marginaleffects, broom, purrr, estimatr, randomizr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed, grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep, DeclareDesign, curl
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-10-07 18:00:12 UTC; gblair
Author: Graeme Blair [aut, cre] , Alexander Coppock [aut] , Macartan Humphreys [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-10 18:50:02 UTC

More information about rdss at CRAN
Permanent link

Package discAUC updated to version 1.0.3 with previous version 1.0.0 dated 2023-03-17

Title: Linear and Non-Linear AUC for Discounting Data
Description: Area under the curve (AUC; Myerson et al., 2001) <doi:10.1901/jeab.2001.76-235> is a popular measure used in discounting research. Although the calculation of AUC is standardized, there are differences in AUC based on some assumptions. For example, Myerson et al. (2001) <doi:10.1901/jeab.2001.76-235> assumed that (with delay discounting data) a researcher would impute an indifference point at zero delay equal to the value of the larger, later outcome. However, this practice is not clearly followed. This imputed zero-delay indifference point plays an important role in log and ordinal versions of AUC. Ordinal and log versions of AUC are described by Borges et al. (2016)<doi:10.1002/jeab.219>. The package can calculate all three versions of AUC [and includes a new version: IHS(AUC)], impute indifference points when x = 0, calculate ordinal AUC in the case of Halton sampling of x-values, and account for probability discounting AUC.
Author: Jonathan E. Friedel [aut, cre]
Maintainer: Jonathan E. Friedel <jfriedel@georgiasouthern.edu>

Diff between discAUC versions 1.0.0 dated 2023-03-17 and 1.0.3 dated 2024-10-10

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 10 files changed, 744 insertions(+), 677 deletions(-)

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New package Certara.VPCResults with initial version 3.0.1
Package: Certara.VPCResults
Title: Generate Visual Predictive Checks (VPC) Using 'shiny'
Version: 3.0.1
Description: Utilize the 'shiny' interface to parameterize a Visual Predictive Check (VPC), including selecting from different binning or binless methods and performing stratification, censoring, and prediction correction. Generate the underlying 'tidyvpc' and 'ggplot2' code directly from the user interface and download R or Rmd scripts to reproduce the VPCs in R.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-VPCResults/
Encoding: UTF-8
Suggests: knitr, rmarkdown, xpose, ggnewscale, testthat (>= 3.0.0)
Imports: shinyAce, shinymeta, bslib (>= 0.7.0), colourpicker, data.table, dplyr, DT, grDevices, ggplot2, plotly, shiny (>= 1.7.0), shinycssloaders, shinyjs, shinyWidgets, shinyjqui, sortable, tidyvpc, htmltools, rlang, scales
NeedsCompilation: no
Packaged: 2024-10-07 13:51:07 UTC; jcraig
Author: James Craig [aut, cre], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-10-10 18:50:06 UTC

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Package pakret updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-03

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted citations of 'R' and 'R' packages, and adds their reference to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

Diff between pakret versions 0.2.0 dated 2024-10-03 and 0.2.1 dated 2024-10-10

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Package RCPA (with last version 0.2.3) was removed from CRAN

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

2024-07-03 0.2.3
2024-04-15 0.2.2
2023-11-30 0.2.1
2023-11-21 0.1.2

Permanent link
New package tidyllm with initial version 0.1.0
Package: tidyllm
Title: Tidy Integration of Large Language Models
Version: 0.1.0
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'ChatGPT', 'Groq', and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, stateful rate limit handling, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, and <https://ollama.com>.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
Imports: R6, base64enc, glue, jsonlite, httr2, lubridate, pdftools, purrr, rlang, stringr, grDevices, tibble
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2024-10-07 07:43:09 UTC; ebr
Author: Eduard Bruell [aut, cre]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>
Repository: CRAN
Date/Publication: 2024-10-10 16:20:01 UTC

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New package REN with initial version 0.1.0
Package: REN
Title: Regularization Ensemble for Robust Portfolio Optimization
Version: 0.1.0
Maintainer: Bonsoo Koo <bonsoo.koo@monash.edu>
Description: Portfolio optimization is achieved through a combination of regularization techniques and ensemble methods that are designed to generate stable out-of-sample return predictions, particularly in the presence of strong correlations among assets. The package includes functions for data preparation, parallel processing, and portfolio analysis using methods such as Mean-Variance, James-Stein, LASSO, Ridge Regression, and Equal Weighting. It also provides visualization tools and performance metrics, such as the Sharpe ratio, volatility, and maximum drawdown, to assess the results.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: lubridate, glmnet, quadprog, doParallel, Matrix, tictoc, corpcor, ggplot2, reshape2, foreach, stats, parallel
Suggests: knitr, rmarkdown, KernSmooth, cluster, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-07 10:20:09 UTC; yez1
Author: Hardik Dixit [aut], Shijia Wang [aut], Bonsoo Koo [aut, cre], Cash Looi [aut], Hong Wang [aut]
Repository: CRAN
Date/Publication: 2024-10-10 16:30:05 UTC

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Package QWDAP updated to version 1.1.20 with previous version 1.1.18 dated 2024-04-19

Title: Quantum Walk-Based Data Analysis and Prediction
Description: The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation. A paper is attached to the package for reference.
Author: Binghuang Pan [aut, cre], Zhaoyuan Yu [aut], Xu Hu [ctb], Yuhao Teng [ctb]
Maintainer: Binghuang Pan <bright1up@163.com>

Diff between QWDAP versions 1.1.18 dated 2024-04-19 and 1.1.20 dated 2024-10-10

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Package gRain updated to version 1.4.4 with previous version 1.4.3 dated 2024-10-08

Title: Graphical Independence Networks
Description: Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard [aut, cre]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

Diff between gRain versions 1.4.3 dated 2024-10-08 and 1.4.4 dated 2024-10-10

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New package gerefer with initial version 0.1.0
Package: gerefer
Title: Preparer of Main Scientific References for Automatic Insertion in Academic Papers
Version: 0.1.0
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>
Description: Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package 'bibliorefer'. The generated file contains the list of metadata of the principal references in 'BibTex' format. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>. Hamid Derviş. (2019) <doi:10.5530/jscires.8.3.32>.
License: GPL-3
Encoding: UTF-8
Imports: bibliorefer
Depends: R (>= 4.4.0)
NeedsCompilation: no
Packaged: 2024-10-07 01:03:12 UTC; marcio
Author: Marcio Eustaquio [cre], Marcio Eustaquio [aut]
Repository: CRAN
Date/Publication: 2024-10-10 16:20:05 UTC

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New package genular with initial version 1.0.0
Package: genular
Version: 1.0.0
Title: 'Genular' Database API
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Description: Provides an interface to the 'Genular' database API (<https://genular.atomic-lab.org>), allowing efficient retrieval and integration of genomic, proteomic, and single-cell data. It supports operations like fetching gene annotations, cell expression profiles, and other information as defined in the 'Genular' database, enabling seamless incorporation of biological data into R workflows. With functions tailored for bioinformatics and machine learning, the package facilitates exploration of cellular heterogeneity, gene-disease relationships, and pathway analysis, streamlining multi-omics data analysis.
Maintainer: Ivan Tomic <info@ivantomic.com>
Packaged: 2024-10-07 13:13:41 UTC; login
Imports: httr, jsonlite, dplyr, tidyr, stats
Suggests: plyr, purrr, ggplot2
Depends: R (>= 3.4.0)
URL: https://github.com/atomiclaboratory/genular-database, <https://genular.atomic-lab.org>
BugReports: https://github.com/atomiclaboratory/genular-database/issues
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-10-10 16:40:02 UTC

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New package genetic.algo.optimizeR with initial version 0.3.2
Package: genetic.algo.optimizeR
Title: Genetic Algorithm Optimization
Version: 0.3.2
Description: Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving an optimization problem that involves finding the best solution in a discrete space.
License: MIT + file LICENSE
URL: https://danymukesha.github.io/genetic.algo.optimizeR/, https://github.com/danymukesha/genetic.algo.optimizeR
BugReports: https://github.com/danymukesha/genetic.algo.optimizeR/issues
Imports: dplyr, ggplot2, magrittr, rsconnect, stats, stringr, tinytex, biocViews, DiagrammeR
Suggests: BiocStyle, knitr, learnr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-07 10:01:40 UTC; dany.mukesha
Author: Dany Mukesha [aut, cre]
Maintainer: Dany Mukesha <danymukesha@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-10 16:20:08 UTC

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Package DPpack updated to version 0.2.1 with previous version 0.2.0 dated 2024-09-19

Title: Differentially Private Statistical Analysis and Machine Learning
Description: An implementation of common statistical analysis and models with differential privacy (Dwork et al., 2006a) <doi:10.1007/11681878_14> guarantees. The package contains, for example, functions providing differentially private computations of mean, variance, median, histograms, and contingency tables. It also implements some statistical models and machine learning algorithms such as linear regression (Kifer et al., 2012) <https://proceedings.mlr.press/v23/kifer12.html> and SVM (Chaudhuri et al., 2011) <https://jmlr.org/papers/v12/chaudhuri11a.html>. In addition, it implements some popular randomization mechanisms, including the Laplace mechanism (Dwork et al., 2006a) <doi:10.1007/11681878_14>, Gaussian mechanism (Dwork et al., 2006b) <doi:10.1007/11761679_29>, analytic Gaussian mechanism (Balle & Wang, 2018) <https://proceedings.mlr.press/v80/balle18a.html>, and exponential mechanism (McSherry & Talwar, 2007) <doi:10.1109/FOCS.2007.66>.
Author: Spencer Giddens [aut, cre], Fang Liu [ctb]
Maintainer: Spencer Giddens <giddens2spencer@gmail.com>

Diff between DPpack versions 0.2.0 dated 2024-09-19 and 0.2.1 dated 2024-10-10

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Package data.table updated to version 1.16.2 with previous version 1.16.0 dated 2024-08-27

Title: Extension of `data.frame`
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Author: Tyson Barrett [aut, cre] , Matt Dowle [aut], Arun Srinivasan [aut], Jan Gorecki [aut], Michael Chirico [aut] , Toby Hocking [aut] , Benjamin Schwendinger [aut] , Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduard Antonyan [ctb], Ma [...truncated...]
Maintainer: Tyson Barrett <t.barrett88@gmail.com>

Diff between data.table versions 1.16.0 dated 2024-08-27 and 1.16.2 dated 2024-10-10

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New package cuadramelo with initial version 1.0.0
Package: cuadramelo
Title: Matrix Balancing and Rounding
Version: 1.0.0
Description: Balancing and rounding matrices subject to restrictions. Adjustment of matrices so that columns and rows add up to given vectors, rounding of a matrix while keeping the column and/or row totals, performing these by blocks...
License: GPL (>= 3)
Encoding: UTF-8
Imports: CVXR, dplyr, methods, utils
URL: https://mserrano-ine.github.io/cuadramelo/
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-10-07 06:39:22 UTC; U853802
Author: Miguel Serrano [aut, cre]
Maintainer: Miguel Serrano <miguel.serrano.martin@ine.es>
Repository: CRAN
Date/Publication: 2024-10-10 16:20:11 UTC

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Package ChoiceModelR updated to version 1.3.1 with previous version 1.3.0 dated 2022-05-30

Title: Choice Modeling in R
Description: Implements an MCMC algorithm to estimate a hierarchical multinomial logit model with a normal heterogeneity distribution. The algorithm uses a hybrid Gibbs Sampler with a random walk metropolis step for the MNL coefficients for each unit. Dependent variable may be discrete or continuous. Independent variables may be discrete or continuous with optional order constraints. Means of the distribution of heterogeneity can optionally be modeled as a linear function of unit characteristics variables.
Author: Ryan Sermas [aut], John V Colias [ctb, cre], Decision Analyst, Inc. [cph]
Maintainer: John V Colias <jcolias@decisionanalyst.com>

Diff between ChoiceModelR versions 1.3.0 dated 2022-05-30 and 1.3.1 dated 2024-10-10

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New package autometric with initial version 0.0.5
Package: autometric
Title: Background Resource Logging
Description: Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.
Version: 0.0.5
License: MIT + file LICENSE
URL: https://wlandau.github.io/autometric/, https://github.com/wlandau/autometric
BugReports: https://github.com/wlandau/autometric/issues
Depends: R (>= 3.5.0)
Imports: graphics, utils
Suggests: grDevices, ps, tinytest
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-07 12:36:20 UTC; landau
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd], Posit Software, PBC [cph] , Jay Loden [cph] , Dave Daeschler [cph] , Giampaolo Rodola [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-10 16:30:02 UTC

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Package ieeeround updated to version 0.2-2 with previous version 0.2-0 dated 2011-08-18

Title: Functions to Set and Get the IEEE Rounding Mode
Description: A pair of functions for getting and setting the IEEE rounding mode for floating point computations.
Author: Gianluca Amato [aut, cre]
Maintainer: Gianluca Amato <gianluca.amato@unich.it>

Diff between ieeeround versions 0.2-0 dated 2011-08-18 and 0.2-2 dated 2024-10-10

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Package ssMutPA updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-16

Title: Single-Sample Mutation-Based Pathway Analysis
Description: A systematic bioinformatics tool to perform single-sample mutation-based pathway analysis by integrating somatic mutation data with the Protein-Protein Interaction (PPI) network. In this method, we use local and global weighted strategies to evaluate the effects of network genes from mutations according to the network topology and then calculate the mutation-based pathway enrichment score (ssMutPES) to reflect the accumulated effect of mutations of each pathway. Subsequently, the ssMutPES profiles are used for unsupervised spectral clustering to identify cancer subtypes.
Author: Junwei Han [aut, cre, cph], Yalan He [aut], Qian Wang [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between ssMutPA versions 0.1.0 dated 2024-04-16 and 0.1.1 dated 2024-10-10

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Package NlsyLinks updated to version 2.2.2 with previous version 2.2.1 dated 2023-09-22

Title: Utilities and Kinship Information for Research with the NLSY
Description: Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <https://www.nlsinfo.org/>).
Author: William Howard Beasley [aut] , Joseph Lee Rodgers [ctb] , David Bard [ctb], Michael D. Hunter [ctb] , Patrick O'Keefe [ctb] , Kelly Meredith Williams [ctb], S. Mason Garrison [aut, cre]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

Diff between NlsyLinks versions 2.2.1 dated 2023-09-22 and 2.2.2 dated 2024-10-10

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Package neojags updated to version 0.1.5 with previous version 0.1.4 dated 2023-08-08

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 ISwR updated to version 2.0-9 with previous version 2.0-8 dated 2020-01-20

Title: Introductory Statistics with R
Description: Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Author: Peter Dalgaard [aut, cre]
Maintainer: Peter Dalgaard <pd.mes@cbs.dk>

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Package hexDensity updated to version 1.4.5 with previous version 1.4.4 dated 2024-09-23

Title: Fast Kernel Density Estimation with Hexagonal Grid
Description: Kernel density estimation with hexagonal grid for bivariate data. Hexagonal grid has many beneficial properties like equidistant neighbours and less edge bias, making it better for spatial analyses than the more commonly used rectangular grid. Carr, D. B. et al. (1987) <doi:10.2307/2289444>. Diggle, P. J. (2010) <doi:10.1201/9781420072884>. Hill, B. (2017) <https://blog.bruce-hill.com/meandering-triangles>. Jones, M. C. (1993) <doi:10.1007/BF00147776>.
Author: Quoc Hoang Nguyen [aut, cre] , Yunshun Chen [aut] , Dan Carr [ctb], binning routine ported by Nicholas Lewin-Koh [ctb], Martin Maechler [ctb]
Maintainer: Quoc Hoang Nguyen <nguyen.q@wehi.edu.au>

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Package fitODBOD updated to version 1.5.3 with previous version 1.5.2 dated 2024-06-28

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] , Pushpakanthie Wijekoon [aut, ctb]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package swaRmverse updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-26

Title: Swarm Space Creation
Description: Provides a pipeline for the comparative analysis of collective movement data (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional positional data (x,y,t) from GPS trackers or computer vision tracking systems, discretizing events of collective motion, calculating a set of established metrics that characterize each event, and placing the events in a multi-dimensional swarm space constructed from these metrics. The swarm space concept, the metrics and data sets included are described in: Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon, Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.
Author: Marina Papadopoulou [aut, cre] , Simon Garnier [ctb, cph]
Maintainer: Marina Papadopoulou <m.papadopoulou.rug@gmail.com>

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Package mapme.biodiversity updated to version 0.9.2 with previous version 0.9.1 dated 2024-09-02

Title: Efficient Monitoring of Global Biodiversity Portfolios
Description: Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Author: Darius A. Goergen [aut, cre] , Om Prakash Bhandari [aut], Andreas Petutschnig [ctb]
Maintainer: Darius A. Goergen <info@dariusgoergen.com>

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Package lfproQC updated to version 1.4.0 with previous version 1.3.0 dated 2024-09-30

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package evaluate updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-17

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut, cre], Yihui Xie [aut] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevicius [ctb], Posit Software, PBC [cph, [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package wrappedtools updated to version 0.9.6 with previous version 0.9.5 dated 2024-03-16

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

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Package smacof updated to version 2.1-7 with previous version 2.1-6 dated 2024-03-01

Title: Multidimensional Scaling
Description: Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Patrick J. F. Groenen [aut], Ingwer Borg [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package random.cdisc.data updated to version 0.3.16 with previous version 0.3.15 dated 2024-03-27

Title: Create Random ADaM Datasets
Description: A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset. ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model Team.
Author: Pawel Rucki [aut], Nick Paszty [aut], Jana Stoilova [aut], Joe Zhu [aut, cre], Davide Garolini [aut], Emily de la Rua [aut], Christopher DiPietrantonio [aut], Adrian Waddell [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package nnlib2Rcpp updated to version 0.2.9 with previous version 0.2.8 dated 2024-06-10

Title: A Tool for Creating Custom Neural Networks in C++ and using Them in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis@uop.gr>

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Package gdverse updated to version 1.1.0 with previous version 1.0-3 dated 2024-09-29

Title: Analysis of Spatial Stratified Heterogeneity
Description: Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, and also takes into account local spatial dependencies, spatial interpretability, potential spatial interactions, and robust spatial stratification. Additionally, it supports geographical detector models established in academic literature.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Yongze Song [aut] , Wufan Zhao [aut] , Jianwu Yan [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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