Fri, 15 Nov 2024

Package ReliaGrowR updated to version 0.1.3 with previous version 0.1.1 dated 2024-11-01

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

Diff between ReliaGrowR versions 0.1.1 dated 2024-11-01 and 0.1.3 dated 2024-11-15

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More information about ReliaGrowR at CRAN
Permanent link

Package visachartR updated to version 4.0.1 with previous version 3.3.0 dated 2024-03-16

Title: Wrapper for 'Visa Chart Components'
Description: Provides a set of wrapper functions for 'Visa Chart Components'. 'Visa Chart Components' <https://github.com/visa/visa-chart-components> is an accessibility focused, framework agnostic set of data experience design systems components for the web.
Author: Christopher DeMartini [aut, cre], Stephanie Modica [aut], David Kutas [aut], Jaime Tanner [aut], Frank Elavsky [aut], Wojtek Kostelecki [ctb], Visa Data Experience Team [aut, fnd], Visa, Inc. [cph]
Maintainer: Christopher DeMartini <chris.demartini.npm@gmail.com>

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Package LBI updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-16

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between LBI versions 0.2.0 dated 2024-10-16 and 0.2.1 dated 2024-11-15

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Package gsDesign2 updated to version 1.1.3 with previous version 1.1.2 dated 2024-04-09

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yilong Zhang [aut], Yujie Zhao [aut, cre], Jianxiao Yang [aut], Nan Xiao [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], Hiroaki Fukuda [ctb], Hongtao Zhang [c [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package geomorph updated to version 4.0.9 with previous version 4.0.8 dated 2024-06-24

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.0.8 dated 2024-06-24 and 4.0.9 dated 2024-11-15

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Package habtools updated to version 1.0.7 with previous version 1.0.5 dated 2024-03-01

Title: Tools and Metrics for 3D Surfaces and Objects
Description: A collection of functions for sampling and simulating 3D surfaces and objects and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, second moments of area and volume, and more.
Author: Joshua Madin [aut] , Nina Schiettekatte [aut, cre]
Maintainer: Nina Schiettekatte <nina.schiettekatte@gmail.com>

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Package regressoR updated to version 4.0.3 with previous version 3.0.2 dated 2023-06-29

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package dynamite updated to version 1.5.5 with previous version 1.5.2 dated 2024-05-28

Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package fastplyr updated to version 0.4.0 with previous version 0.3.0 dated 2024-10-20

Title: Fast Alternatives to 'tidyverse' Functions
Description: A full set of fast data manipulation tools with a tidy front-end and a fast back-end using 'collapse' and 'cheapr'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between fastplyr versions 0.3.0 dated 2024-10-20 and 0.4.0 dated 2024-11-15

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Package ami updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-25

Title: Checks for Various Computing Environments
Description: A collection of lightweight functions that can be used to determine the computing environment in which your code is running. This includes operating systems, continuous integration (CI) environments, containers, and more.
Author: Brian Connelly [aut, cre, cph] , Mark Padgham [ctb] , Lluis Revilla Sancho [ctb]
Maintainer: Brian Connelly <bdc@bconnelly.net>

Diff between ami versions 0.2.0 dated 2024-10-25 and 0.2.1 dated 2024-11-15

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Package gpboost updated to version 1.5.4 with previous version 1.5.1.2 dated 2024-08-26

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.5.1.2 dated 2024-08-26 and 1.5.4 dated 2024-11-15

 DESCRIPTION                                                     |    8 
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Package frailtypack updated to version 3.6.4 with previous version 3.6.3 dated 2024-10-19

Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested fra [...truncated...]
Author: Virginie Rondeau [aut, cre] , Juan R. Gonzalez [aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou Diakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut], Agnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc [aut], Denis Rustand [aut [...truncated...]
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

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Package comtradr updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-20

Title: Interface with the United Nations Comtrade API
Description: Interface with and extract data from the United Nations 'Comtrade' API <https://comtradeplus.un.org/>. 'Comtrade' provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.
Author: Paul Bochtler [aut, cre, cph] , Harriet Goers [aut], Chris Muir [aut], Alicia Schep [rev] , Rafael Hellwig [rev] , Ernest Guevarra [rev] , Nicholas Potter [rev] , Juergen Amann [ctb]
Maintainer: Paul Bochtler <paulbochtler.gh@gmail.com>

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Package tarchetypes updated to version 0.11.0 with previous version 0.10.0 dated 2024-09-26

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package mlr3mbo updated to version 0.2.7 with previous version 0.2.6 dated 2024-10-16

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Lennart Schneider [cre, aut] , Jakob Richter [aut] , Marc Becker [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Lennart Schneider <lennart.sch@web.de>

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Package proffer updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-30

Title: Profile R Code and Visualize with 'Pprof'
Description: Like similar profiling tools, the 'proffer' package automatically detects sources of slowness in R code. The distinguishing feature of 'proffer' is its utilization of 'pprof', which supplies interactive visualizations that are efficient and easy to interpret. Behind the scenes, the 'profile' package converts native Rprof() data to a protocol buffer that 'pprof' understands. For the documentation of 'proffer', visit <https://r-prof.github.io/proffer/>. To learn about the implementations and methodologies of 'pprof', 'profile', and protocol buffers, visit <https://github.com/google/pprof>. <https://protobuf.dev>, and <https://github.com/r-prof/profile>, respectively.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package multichull updated to version 3.0.1 with previous version 3.0.0 dated 2024-07-18

Title: A Generic Convex-Hull-Based Model Selection Method
Description: Given a set of models for which a measure of model (mis)fit and model complexity is provided, CHull(), developed by Ceulemans and Kiers (2006) <doi:10.1348/000711005X64817>, determines the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values.
Author: Marlies Vervloet [aut, trl], Tom Wilderjans [aut], Jeffrey Durieux [aut], Eva Ceulemans [aut], Kristof Meers [cre]
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>

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Package mult.latent.reg updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-24

Title: Regression and Clustering in Multivariate Response Scenarios
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
Author: Yingjuan Zhang [aut, cre], Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang@durham.ac.uk>

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Package modsem updated to version 1.0.4 with previous version 1.0.3 dated 2024-09-23

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via by modsem it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8 [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package crew updated to version 0.10.2 with previous version 0.10.1 dated 2024-11-03

Title: A Distributed Worker Launcher Framework
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 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. '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, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 0.10.1 dated 2024-11-03 and 0.10.2 dated 2024-11-15

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Package statgenGWAS updated to version 1.0.10 with previous version 1.0.9 dated 2022-10-13

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenGWAS versions 1.0.9 dated 2022-10-13 and 1.0.10 dated 2024-11-15

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New package GeoTox with initial version 0.2.0
Package: GeoTox
Title: Spatiotemporal Mixture Risk Assessment
Version: 0.2.0
Description: Connecting spatiotemporal exposure to individual and population-level risk via source-to-outcome continuum modeling. The package, methods, and case-studies are described in Messier, Reif, and Marvel (2024) <doi:10.1101/2024.09.23.24314096> and Eccles et al. (2023) <doi:10.1016/j.scitotenv.2022.158905>.
License: MIT + file LICENSE
URL: https://niehs.github.io/GeoTox/, https://github.com/NIEHS/GeoTox
Depends: R (>= 4.4.0)
Imports: dplyr, ggplot2, ggridges, rlang, sf, stats, stringr, tibble, tidyr, tidyselect, truncnorm, utils
Suggests: ggpubr, httk, httr2, knitr, purrr, readr, readxl, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/NIEHS/GeoTox/issues
NeedsCompilation: no
Packaged: 2024-11-14 17:29:09 UTC; marvelsw
Author: Skylar Marvel [aut] , David Reif [aut] , Kyle Messier [cre, aut] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>
Repository: CRAN
Date/Publication: 2024-11-15 14:20:02 UTC

More information about GeoTox at CRAN
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Package CohortSymmetry updated to version 0.1.4 with previous version 0.1.3 dated 2024-09-23

Title: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description: Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Xihang Chen [aut, cre] , Tyman Stanford [aut] , Berta Raventos [aut] , Nicole Pratt [aut] , Ed Burn [aut] , Marti Catala [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez [aut] , Marta Alcalde-He [...truncated...]
Maintainer: Xihang Chen <xihang.chen@ndorms.ox.ac.uk>

Diff between CohortSymmetry versions 0.1.3 dated 2024-09-23 and 0.1.4 dated 2024-11-15

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Package tabulapdf updated to version 1.0.5-5 with previous version 1.0.5-3 dated 2024-05-21

Title: Extract Tables from PDF Documents
Description: Bindings for the 'Tabula' <https://tabula.technology/> 'Java' library, which can extract tables from PDF files. This tool can reduce time and effort in data extraction processes in fields like investigative journalism. It allows for automatic and manual table extraction, the latter facilitated through a 'Shiny' interface, enabling manual areas selection\ with a computer mouse for data retrieval.
Author: Thomas J. Leeper [aut] , Mauricio Vargas Sepulveda [aut, cre] , Tom Paskhalis [aut] , Manuel Aristaran [ctb], David Gohel [ctb] , Lincoln Mullen [ctb] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between tabulapdf versions 1.0.5-3 dated 2024-05-21 and 1.0.5-5 dated 2024-11-15

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Package Rdpack updated to version 2.6.2 with previous version 2.6.1 dated 2024-08-06

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between Rdpack versions 2.6.1 dated 2024-08-06 and 2.6.2 dated 2024-11-15

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Package prior3D updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-06

Title: 3D Prioritization Algorithm
Description: Three-dimensional systematic conservation planning, conducting nested prioritization analyses across multiple depth levels and ensuring efficient resource allocation throughout the water column. It provides a structured workflow designed to address biodiversity conservation and management challenges in the 3 dimensions, while facilitating users’ choices and parameterization (Doxa et al. 2024 <doi:10.1016/j.ecolmodel.2024.110919>).
Author: Aggeliki Doxa [aut] , Christos Adam [aut, cre], Nikolaos Nagkoulis [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

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Package flowmapper updated to version 0.1.3 with previous version 0.1.2 dated 2024-09-06

Title: Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots
Description: Adds flow maps to 'ggplot2' plots. The flow maps consist of 'ggplot2' layers which visualize the nodes as circles and the bilateral flows between the nodes as bidirectional half-arrows.
Author: Johannes Mast [aut, cre]
Maintainer: Johannes Mast <johannes.mast@dlr.de>

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Package CFO updated to version 2.2.0 with previous version 2.1.0 dated 2024-10-15

Title: CFO-Type Designs in Phase I/II Clinical Trials
Description: In phase I clinical trials, the primary objective is to ascertain the maximum tolerated dose (MTD) corresponding to a specified target toxicity rate. The subsequent phase II trials are designed to examine the potential efficacy of the drug based on the MTD obtained from the phase I trials, with the aim of identifying the optimal biological dose (OBD). The 'CFO' package facilitates the implementation of dose-finding trials by utilizing calibration-free odds type (CFO-type) designs. Specifically, it encompasses the calibration-free odds (CFO) (Jin and Yin (2022) <doi:10.1177/09622802221079353>), randomized CFO (rCFO), precision CFO (pCFO), two-dimensional CFO (2dCFO) (Wang et al. (2023) <doi:10.3389/fonc.2023.1294258>), time-to-event CFO (TITE-CFO) (Jin and Yin (2023) <doi:10.1002/pst.2304>), fractional CFO (fCFO), accumulative CFO (aCFO), TITE-aCFO, and f-aCFO (Fang and Yin (2024) <doi: 10.1002/sim.10127>). It supports phase I/II trials for the CFO design and onl [...truncated...]
Author: Jialu Fang [aut, cre], Ninghao Zhang [aut], Wenliang Wang [aut], Guosheng Yin [aut]
Maintainer: Jialu Fang <u3008682@connect.hku.hk>

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Package spatstat.data updated to version 3.1-4 with previous version 3.1-2 dated 2024-06-21

Title: Datasets for 'spatstat' Family
Description: Contains all the datasets for the 'spatstat' family of packages.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , W Aherne [ctb], Freda Alexander [ctb], Qi Wei Ang [ctb], Sourav Banerjee [ctb], Mark Berman [ctb], R Bernhardt [ctb], Thomas Berndtsen [ctb], Andrew Bevan [ctb], Jeffrey Betts [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mirai updated to version 1.3.1 with previous version 1.3.0 dated 2024-10-09

Title: Minimalist Async Evaluation Framework for R
Description: Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network, with the result automatically available upon completion. Modern networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen) ensure reliable and efficient scheduling, over fast inter-process communications or TCP/IP secured by TLS. Advantages include being inherently queued thus handling many more tasks than available processes, no storage on the file system, support for otherwise non-exportable reference objects, an event-driven promises implementation, and built-in asynchronous parallel map.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package klassR updated to version 1.0.0 with previous version 0.2.4 dated 2024-08-16

Title: Classifications and Codelists for Statistics Norway
Description: Functions to search, retrieve, apply and update classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut, cre], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut], Statistics Norway [cph]
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

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More information about klassR at CRAN
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Package jstable updated to version 1.3.6 with previous version 1.3.5 dated 2024-10-20

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package grf updated to version 2.4.0 with previous version 2.3.2 dated 2024-02-25

Title: Generalized Random Forests
Description: Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

Diff between grf versions 2.3.2 dated 2024-02-25 and 2.4.0 dated 2024-11-15

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 grf-2.4.0/grf/src/src/prediction/collector/OptimizedPredictionCollector.cpp     |    2 
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 grf-2.4.0/grf/src/src/prediction/collector/SampleWeightComputer.cpp             |    4 
 grf-2.4.0/grf/src/src/prediction/collector/SampleWeightComputer.h               |    4 
 grf-2.4.0/grf/src/src/prediction/collector/TreeTraverser.cpp                    |    4 
 grf-2.4.0/grf/src/src/prediction/collector/TreeTraverser.h                      |    4 
 grf-2.4.0/grf/src/src/relabeling/CausalSurvivalRelabelingStrategy.cpp           |    2 
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 grf-2.4.0/grf/src/src/relabeling/MultiCausalRelabelingStrategy.cpp              |    2 
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 grf-2.4.0/grf/src/src/relabeling/MultiNoopRelabelingStrategy.cpp                |    2 
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 grf-2.4.0/grf/src/src/relabeling/NoopRelabelingStrategy.cpp                     |    2 
 grf-2.4.0/grf/src/src/relabeling/NoopRelabelingStrategy.h                       |    2 
 grf-2.4.0/grf/src/src/relabeling/QuantileRelabelingStrategy.cpp                 |    2 
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 grf-2.4.0/grf/src/src/relabeling/RelabelingStrategy.h                           |    2 
 grf-2.4.0/grf/src/src/sampling/RandomSampler.cpp                                |    2 
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 grf-2.4.0/grf/src/src/sampling/SamplingOptions.cpp                              |    2 
 grf-2.4.0/grf/src/src/sampling/SamplingOptions.h                                |    2 
 grf-2.4.0/grf/src/src/splitting/CausalSurvivalSplittingRule.cpp                 |    2 
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 grf-2.4.0/grf/src/src/splitting/InstrumentalSplittingRule.cpp                   |    2 
 grf-2.4.0/grf/src/src/splitting/InstrumentalSplittingRule.h                     |    4 
 grf-2.4.0/grf/src/src/splitting/MultiCausalSplittingRule.cpp                    |    2 
 grf-2.4.0/grf/src/src/splitting/MultiCausalSplittingRule.h                      |    2 
 grf-2.4.0/grf/src/src/splitting/MultiRegressionSplittingRule.cpp                |    2 
 grf-2.4.0/grf/src/src/splitting/MultiRegressionSplittingRule.h                  |    2 
 grf-2.4.0/grf/src/src/splitting/ProbabilitySplittingRule.cpp                    |    2 
 grf-2.4.0/grf/src/src/splitting/ProbabilitySplittingRule.h                      |    2 
 grf-2.4.0/grf/src/src/splitting/RegressionSplittingRule.cpp                     |    2 
 grf-2.4.0/grf/src/src/splitting/RegressionSplittingRule.h                       |    2 
 grf-2.4.0/grf/src/src/splitting/SplittingRule.h                                 |    2 
 grf-2.4.0/grf/src/src/splitting/SurvivalSplittingRule.cpp                       |    2 
 grf-2.4.0/grf/src/src/splitting/SurvivalSplittingRule.h                         |    2 
 grf-2.4.0/grf/src/src/splitting/factory/CausalSurvivalSplittingRuleFactory.cpp  |    2 
 grf-2.4.0/grf/src/src/splitting/factory/CausalSurvivalSplittingRuleFactory.h    |    2 
 grf-2.4.0/grf/src/src/splitting/factory/InstrumentalSplittingRuleFactory.cpp    |    2 
 grf-2.4.0/grf/src/src/splitting/factory/InstrumentalSplittingRuleFactory.h      |    2 
 grf-2.4.0/grf/src/src/splitting/factory/MultiCausalSplittingRuleFactory.cpp     |    2 
 grf-2.4.0/grf/src/src/splitting/factory/MultiCausalSplittingRuleFactory.h       |    2 
 grf-2.4.0/grf/src/src/splitting/factory/MultiRegressionSplittingRuleFactory.cpp |    2 
 grf-2.4.0/grf/src/src/splitting/factory/MultiRegressionSplittingRuleFactory.h   |    4 
 grf-2.4.0/grf/src/src/splitting/factory/ProbabilitySplittingRuleFactory.cpp     |    2 
 grf-2.4.0/grf/src/src/splitting/factory/ProbabilitySplittingRuleFactory.h       |    2 
 grf-2.4.0/grf/src/src/splitting/factory/RegressionSplittingRuleFactory.cpp      |    2 
 grf-2.4.0/grf/src/src/splitting/factory/RegressionSplittingRuleFactory.h        |    2 
 grf-2.4.0/grf/src/src/splitting/factory/SplittingRuleFactory.h                  |    2 
 grf-2.4.0/grf/src/src/splitting/factory/SurvivalSplittingRuleFactory.cpp        |    2 
 grf-2.4.0/grf/src/src/splitting/factory/SurvivalSplittingRuleFactory.h          |    2 
 grf-2.4.0/grf/src/src/tree/Tree.cpp                                             |    2 
 grf-2.4.0/grf/src/src/tree/Tree.h                                               |    2 
 grf-2.4.0/grf/src/src/tree/TreeOptions.cpp                                      |    2 
 grf-2.4.0/grf/src/src/tree/TreeOptions.h                                        |    2 
 grf-2.4.0/grf/src/src/tree/TreeTrainer.cpp                                      |    2 
 grf-2.4.0/grf/src/src/tree/TreeTrainer.h                                        |    2 
 168 files changed, 700 insertions(+), 356 deletions(-)

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Package dendextend updated to version 1.19.0 with previous version 1.18.1 dated 2024-10-12

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] , Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] , Marco Gallotta [ctb] , Johan Renaudie [ctb] , The R Core Team [ctb] , Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvat [...truncated...]
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.18.1 dated 2024-10-12 and 1.19.0 dated 2024-11-15

 DESCRIPTION                                |    8 
 MD5                                        |   91 ++++---
 NAMESPACE                                  |    4 
 NEWS.md                                    |   12 
 R/all.equal.R                              |   15 +
 R/dendlist.R                               |    1 
 R/pvclust.R                                |    3 
 R/untangle.R                               |    8 
 inst/doc/Cluster_Analysis.html             |    4 
 inst/doc/FAQ.html                          |    4 
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 tests/testthat/test-cut_lower_fun.R        |    9 
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 58 files changed, 1984 insertions(+), 140 deletions(-)

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Package sdsfun updated to version 0.4.3 with previous version 0.4.2 dated 2024-11-11

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between sdsfun versions 0.4.2 dated 2024-11-11 and 0.4.3 dated 2024-11-15

 DESCRIPTION               |    8 ++--
 MD5                       |   19 ++++++----
 NAMESPACE                 |    2 +
 NEWS.md                   |    4 ++
 R/ssh_test.R              |   17 +++++++++
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 R/vector_toolkits.R       |only
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 man/standardize_vector.Rd |    2 -
 12 files changed, 41 insertions(+), 98 deletions(-)

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New package OPTeCD with initial version 1.0.0
Package: OPTeCD
Title: Optimal Partial Tetra-Allele Cross Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Tetra-allele cross often referred as four-way cross or double cross or four-line cross are those type of mating designs in which every cross is obtained by mating amongst four inbred lines. A tetra-allele cross can be obtained by crossing the resultant of two unrelated diallel crosses. A common triallel cross involving four inbred lines A, B, C and D can be symbolically represented as (A X B) X (C X D) or (A, B, C, D) or (A B C D) etc. Tetra-allele cross can be broadly categorized as Complete Tetra-allele Cross (CTaC) and Partial Tetra-allele Crosses (PTaC). Rawlings and Cockerham (1962)<doi:10.2307/2527461> firstly introduced and gave the method of analysis for tetra-allele cross hybrids using the analysis method of single cross hybrids under the assumption of no linkage. The set of all possible four-way mating between several genotypes (individuals, clones, homozygous lines, etc.) leads to a CTaC. If there are N number of inbred lines involved in a CTaC, the the total number of [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-11-15 06:17:26 UTC; Ashutosh
Author: Mohd Harun [aut, ctb], Cini Varghese [aut, ctb], Seema Jaggi [ctb], Eldho Varghese [ctb], Ashutosh Dalal [aut, cre]
Date/Publication: 2024-11-15 09:10:02 UTC

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Package autometric updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-14

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'.
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>

Diff between autometric versions 0.1.1 dated 2024-11-14 and 0.1.2 dated 2024-11-15

 DESCRIPTION       |    6 +++---
 MD5               |   14 +++++++-------
 NEWS.md           |    6 ++++++
 R/log_phase_set.R |    4 ----
 R/log_plot.R      |    2 +-
 inst/WORDLIST     |    1 +
 src/thread.c      |    2 +-
 src/version.h     |    2 +-
 8 files changed, 20 insertions(+), 17 deletions(-)

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New package wbids with initial version 0.1.0
Package: wbids
Title: Seamless Access to World Bank International Debt Statistics (IDS)
Version: 0.1.0
Description: Access and analyze the World Bank’s International Debt Statistics (IDS) <https://datacatalog.worldbank.org/search/dataset/0038015>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, withr, httr2 (>= 1.0.0), dplyr (>= 1.0.0), purrr (>= 1.0.0), tidyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: curl, jsonlite, tibble, lintr (>= 3.1.2), quarto, readxl (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), languageserver (>= 0.3.16)
URL: https://teal-insights.github.io/r-wbids/, https://github.com/teal-insights/r-wbids/
BugReports: https://github.com/teal-insights/r-wbids/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2024-11-14 15:55:27 UTC; teal_emery
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:02 UTC

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New package ReportSubtotal with initial version 0.1
Package: ReportSubtotal
Title: Adds Subtotals to Data Reports
Version: 0.1
Description: Adds subtotal rows / sections (a la the SAS "Proc Tabulate" "All" option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyselect, utils, magrittr
NeedsCompilation: no
Packaged: 2024-11-14 17:36:27 UTC; yonia
Author: Yoni Aboody [aut, cre, cph]
Maintainer: Yoni Aboody <yoniaboody@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:13 UTC

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New package quicR with initial version 1.0.2
Package: quicR
Title: RT-QuIC Data Formatting and Analysis
Version: 1.0.2
Description: Designed for the curation and analysis of data generated from real-time quaking-induced conversion (RT-QuIC) assays first described by Atarashi et al. (2011) <doi:10.1038/nm.2294>. 'quicR' calculates useful metrics such as maxpoint ratio: Rowden et al. (2023) <doi:10.1099/vir.0.069906-0>; time-to-threshold: Shi et al. (2013) <doi:10.1186/2051-5960-1-44>; and maximum slope. Integration with the output from plate readers allows for seamless input of raw data into the R environment.
Imports: dplyr, ggplot2, openxlsx, readxl, reshape2, slider, stats, stringr, tidyr
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.1.0)
NeedsCompilation: no
Packaged: 2024-11-14 18:14:24 UTC; rowde002
Author: Gage Rowden [aut, cre]
Maintainer: Gage Rowden <gage.rowden1145@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-15 09:00:05 UTC

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New package necountries with initial version 0.1-1
Package: necountries
Version: 0.1-1
Date: 2024-11-14
Title: Countries of the World
Depends: R (>= 4.0.0)
Imports: Rdpack, tibble, ggplot2, sf, dplyr, ggrepel, rlang, classInt, stringr, magrittr, stringi
Description: Based on Natural Earth <https://www.naturalearthdata.com/>, a subset of countries can easily be selected with their administrative boundaries, joined with an external data frame and plotted as a thematic map.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.R-project.org
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
LazyData: true
NeedsCompilation: no
Suggests: knitr, tidyr, purrr, quarto
VignetteBuilder: quarto
Packaged: 2024-11-14 12:12:10 UTC; yves
Repository: CRAN
Date/Publication: 2024-11-15 09:00:10 UTC

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New package HMMRel with initial version 0.1.0
Package: HMMRel
Title: Hidden Markov Models for Reliability and Maintenance
Version: 0.1.0
Author: M.L. Gamiz [aut, cre, cph], N. Limnios [aut, cph], M.C. Segovia-Garcia [aut, cph]
Maintainer: M.L. Gamiz <mgamiz@ugr.es>
Description: Reliability Analysis and Maintenance Optimization using Hidden Markov Models (HMM). The use of HMMs to model the state of a system which is not directly observable and instead certain indicators (signals) of the true situation are provided via a control system. A hidden model can provide key information about the system dependability, such as the reliability of the system and related measures. An estimation procedure is implemented based on the Baum-Welch algorithm. Classical structures such as K-out-of-N systems and Shock models are illustrated. Finally, the maintenance of the system is considered in the HMM context and two functions for new preventive maintenance strategies are considered. Maintenance efficiency is measured in terms of expected cost. Maintenance efficiency is measured in terms of expected cost. Methods are described in Gamiz, Limnios, and Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-14 19:44:04 UTC; Usuario
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-15 09:00:17 UTC

More information about HMMRel at CRAN
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New package redatam with initial version 2.0.4
Package: redatam
Title: Import 'REDATAM' Files
Version: 2.0.4
Imports: data.table, janitor, stringi, stringr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R(>= 3.5.0)
Description: Import 'REDATAM' formats into R via the 'Open REDATAM' C++ library <https://github.com/litalbarkai/open-redatam> based on De Grande (2016) <https://www.jstor.org/stable/24890658>.
License: Apache License (>= 2)
URL: https://github.com/litalbarkai/open-redatam
BugReports: https://github.com/litalbarkai/open-redatam/issues
Encoding: UTF-8
NeedsCompilation: yes
VignetteBuilder: knitr
LinkingTo: cpp11
Packaged: 2024-11-15 02:58:01 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Lital Barkai [aut], Ivan Krylov [ctb], Arseny Kapoulkine [ctb] , Oriental Republic of Uruguay [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-15 07:30:02 UTC

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