Fri, 05 Apr 2024

New package fastdigest with initial version 0.6-4
Package: fastdigest
Version: 0.6-4
Title: Fast, Low Memory Footprint Digests of R Objects
Description: Provides an R interface to Bob Jenkin's streaming, non-cryptographic 'SpookyHash' hash algorithm for use in digest-based comparisons of R objects. 'fastdigest' plugs directly into R's internal serialization machinery, allowing digests of all R objects the serialize() function supports, including reference-style objects via custom hooks. Speed is high and scales linearly by object size; memory usage is constant and negligible.
Author: Gabriel Becker, based on SpookyHash algorithm and C++ code by Bob Jenkins
Suggests: RUnit
Maintainer: Gabriel Becker <gabembecker@gmail.com>
License: Artistic-2.0
NeedsCompilation: yes
Packaged: 2024-04-05 18:03:43 UTC; gbecker
Repository: CRAN
Date/Publication: 2024-04-05 23:42:59 UTC

More information about fastdigest at CRAN
Permanent link

Package dilp updated to version 1.1.0 with previous version 1.0.0 dated 2024-03-11

Title: Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy
Description: Use leaf physiognomic methods to reconstruct mean annual temperature (MAT), mean annual precipitation (MAP), and leaf dry mass per area (Ma), along with other useful quantitative leaf traits. Methods in this package described in Lowe et al. (in review).
Author: Matthew J. Butrim [aut, cre, cph], Alexander J. Lowe [aut], Andrew G. Flynn [aut], Aly Baumgartner [aut], Daniel J. Peppe [aut], Dana L. Royer [aut]
Maintainer: Matthew J. Butrim <mbutrim@uwyo.edu>

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More information about dilp at CRAN
Permanent link

Package geohabnet updated to version 2.1.1 with previous version 2.1.0 dated 2024-03-28

Title: Geographical Risk Analysis Based on Habitat Connectivity
Description: The geohabnet package is designed to perform a geographically or spatially explicit risk analysis of habitat connectivity. Xing et al (2021) <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity as a risk factor for plant pathogen or pest invasions. As the functions in geohabnet were initially developed thinking on cropland connectivity, users are recommended to first be familiar with the concept by looking at the Xing et al paper. In a nutshell, a habitat connectivity analysis combines information from maps of host density, estimates the relative likelihood of pathogen movement between habitat locations in the area of interest, and applies network analysis to calculate the connectivity of habitat locations. The functions of geohabnet are built to conduct a habitat connectivity analysis relying on geographic parameters (spatial resolution and spatial extent), dispersal parameters (in two commonly used dispersal kernels: inverse power law and negative exponent [...truncated...]
Author: Krishna Keshav [aut, cre], Aaron Plex [aut] , Garrett Lab [ctb] , Karen Garrett [aut] , University of Florida [cph, fnd]
Maintainer: Krishna Keshav <kkeshav@ufl.edu>

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More information about geohabnet at CRAN
Permanent link

Package Rlabkey updated to version 3.2.1 with previous version 3.2.0 dated 2024-01-09

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.2.0 dated 2024-01-09 and 3.2.1 dated 2024-04-05

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More information about Rlabkey at CRAN
Permanent link

Package WikipediR updated to version 1.7.1 with previous version 1.7.0 dated 2024-03-28

Title: A MediaWiki API Wrapper
Description: A wrapper for the MediaWiki API, aimed particularly at the Wikimedia 'production' wikis, such as Wikipedia. It can be used to retrieve page text, information about users or the history of pages, and elements of the category tree.
Author: Os Keyes [aut, cre], Brock Tilbert [ctb], Clemens Schmid [aut]
Maintainer: Os Keyes <ironholds@gmail.com>

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Package ProbBreed updated to version 1.0.3.2 with previous version 1.0.3.1 dated 2023-11-29

Title: Probability Theory for Selecting Candidates in Plant Breeding
Description: Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context [Dias et al. (2022) <doi:10.1007/s00122-022-04041-y>]. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.
Author: Saulo Chaves [aut, cre] , Kaio Dias [aut, cph] , Matheus Krause [aut]
Maintainer: Saulo Chaves <saulo.chaves@ufv.br>

Diff between ProbBreed versions 1.0.3.1 dated 2023-11-29 and 1.0.3.2 dated 2024-04-05

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Package TimeVizPro updated to version 1.0.1 with previous version 1.0 dated 2024-04-03

Title: Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro'
Description: Unleash the power of time-series data visualization with ease using our package. Designed with simplicity in mind, it offers three key features through the 'shiny' package output. The first tab shows time- series charts with forecasts, allowing users to visualize trends and changes effortlessly. The second one displays Averages per country presented in tables with accompanying sparklines, providing a quick and attractive overview of the data. The last tab presents A customizable world map colored based on user-defined variables for any chosen number of countries, offering an advanced visual approach to understanding geographical data distributions. This package operates with just a few simple arguments, enabling users to conduct sophisticated analyses without the need for complex programming skills. Transform your time-series data analysis experience with our user-friendly tool.
Author: Hossein Hassani [aut], Fernando Cantu Bazaldua [aut], Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>

Diff between TimeVizPro versions 1.0 dated 2024-04-03 and 1.0.1 dated 2024-04-05

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Package rtpcr updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-02

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', different datasets have been employed in the examples and the outputs ar [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

Diff between rtpcr versions 1.0.0 dated 2024-04-02 and 1.0.1 dated 2024-04-05

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Package RcppArmadillo updated to version 0.12.8.2.0 with previous version 0.12.8.1.0 dated 2024-03-03

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package proxyC updated to version 0.4.0 with previous version 0.3.4 dated 2023-10-25

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between proxyC versions 0.3.4 dated 2023-10-25 and 0.4.0 dated 2024-04-05

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Package roll updated to version 1.1.7 with previous version 1.1.6 dated 2020-07-13

Title: Rolling and Expanding Statistics
Description: Fast and efficient computation of rolling and expanding statistics for time-series data.
Author: Jason Foster
Maintainer: Jason Foster <jason.j.foster@gmail.com>

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Package CFO updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-05

Title: CFO-Type Designs in Phase I 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 '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>), 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 designs. The ‘CFO' package accommodates diverse CFO-type designs, allowing users to tailor the approach based on factors such as dose information inclusion, handling of late-onset toxicity, and the nature of the target drug (single-drug or drug-combination). The functionalities embedded in 'CFO' package include the determination of the dose level for the ne [...truncated...]
Author: Jialu Fang [aut, cre], Wenliang Wang [aut], Guosheng Yin [aut]
Maintainer: Jialu Fang <u3008682@connect.hku.hk>

Diff between CFO versions 1.1.0 dated 2024-03-05 and 1.1.1 dated 2024-04-05

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Package ars updated to version 0.7 with previous version 0.6 dated 2018-08-23

Title: Adaptive Rejection Sampling
Description: Adaptive Rejection Sampling, Original version.
Author: Paulino Perez Rodriguez <perpdgo@colpos.mx> original C++ code from Arnost Komarek based on ars.f written by P. Wild and W. R. Gilks
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

Diff between ars versions 0.6 dated 2018-08-23 and 0.7 dated 2024-04-05

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New package Thermistor with initial version 1.1.0
Package: Thermistor
Title: The Simulation of the Thermistor Network
Version: 1.1.0
Description: Given the circuit topology, simulating the Voltage vs. Temperature curve with a set of Resistors (R1, R2, R3 and R4) and Thermistors values (TH1 and TH2) for a given thermistor network shown in Seth DeLand (2024) "Optimal Component Selection Using the Mixed-Integer Genetic Algorithm" <https://ww2.mathworks.cn/matlabcentral/fileexchange/35810-optimal-component-selection-using-the-mixed-integer-genetic-algorithm> and the application in Mak and Wu (2019) <doi:10.1080/00401706.2019.1593246>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2
Depends: R (>= 2.10)
Author: Yao Xiao [aut, cre] , Kang Fu [aut]
Maintainer: Yao Xiao <xystatistics@mails.ccnu.edu.cn>
NeedsCompilation: no
Packaged: 2024-04-05 10:01:19 UTC; xiaoyao
Repository: CRAN
Date/Publication: 2024-04-05 15:43:02 UTC

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Package stopp updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-19

Title: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] , Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>

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New package SpaDES with initial version 2.0.10
Package: SpaDES
Title: Develop and Run Spatially Explicit Discrete Event Simulation Models
Description: Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models. The core simulation components (provided by 'SpaDES.core') are built upon a discrete event simulation (DES; see Matloff (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that facilitates modularity, and easily enables the user to include additional functionality by running user-built simulation modules (see also 'SpaDES.tools'). Included are numerous tools to visualize rasters and other maps (via 'quickPlot'), and caching methods for reproducible simulations (via 'reproducible'). Tools for running simulation experiments are provided by 'SpaDES.experiment'. Additional functionality is provided by the 'SpaDES.addins' and 'SpaDES.shiny' packages.
URL: https://spades.predictiveecology.org, https://github.com/PredictiveEcology/SpaDES
Date: 2024-04-04
Version: 2.0.10
Depends: R (>= 4.2)
Imports: methods, quickPlot (>= 1.0.2), reproducible (>= 2.0.10), SpaDES.core (>= 2.0.3), SpaDES.tools (>= 2.0.5), utils
Suggests: covr, knitr, rmarkdown, testthat
Encoding: UTF-8
Language: en-CA
License: GPL-3
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/PredictiveEcology/SpaDES/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2024-04-04 19:17:15 UTC; achubaty
Author: Alex M Chubaty [aut, cre] , Eliot J B McIntire [aut] , Yong Luo [ctb], Steve Cumming [ctb], His Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>
Repository: CRAN
Date/Publication: 2024-04-05 15:43:05 UTC

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Package shiny.semantic updated to version 0.5.1 with previous version 0.5.0 dated 2024-01-17

Title: Semantic UI Support for Shiny
Description: Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Fomantic UI - <https://fomantic-ui.com/> (before Semantic). It also supports universal UI input binding that works with various DOM elements.
Author: Filip Stachura [aut], Dominik Krzeminski [aut], Krystian Igras [aut], Adam Forys [aut], Pawel Przytula [aut], Jakub Chojna [aut], Olga Mierzwa-Sulima [aut], Jakub Nowicki [aut, cre], Tymoteusz Makowski [aut], Ashley Baldry [ctb], Pedro Manuel Coutinh [...truncated...]
Maintainer: Jakub Nowicki <opensource+kuba@appsilon.com>

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Package readsdr updated to version 0.3.0 with previous version 0.2.0 dated 2021-01-08

Title: Translate Models from System Dynamics Software into 'R'
Description: The goal of 'readsdr' is to bridge the design capabilities from specialised System Dynamics software with the powerful numerical tools offered by 'R' libraries. The package accomplishes this goal by parsing 'XMILE' files ('Vensim' and 'Stella') models into 'R' objects to construct networks (graph theory); 'ODE' functions for 'Stan'; and inputs to simulate via 'deSolve' as described in Duggan (2016) <doi:10.1007/978-3-319-34043-2>.
Author: Jair Andrade [aut, cre]
Maintainer: Jair Andrade <jair.albert.andrade@gmail.com>

Diff between readsdr versions 0.2.0 dated 2021-01-08 and 0.3.0 dated 2024-04-05

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New package Qindex.data with initial version 0.1.0
Package: Qindex.data
Title: Data for Package 'Qindex'
Version: 0.1.0
Date: 2024-04-05
Description: Example data used in package 'Qindex'.
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
License: GPL-2
Depends: R (>= 4.3),
Language: en-US
Suggests: knitr
NeedsCompilation: no
Packaged: 2024-04-05 14:05:18 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-05 15:53:12 UTC

More information about Qindex.data at CRAN
Permanent link

Package promises updated to version 1.3.0 with previous version 1.2.1 dated 2023-08-10

Title: Abstractions for Promise-Based Asynchronous Programming
Description: Provides fundamental abstractions for doing asynchronous programming in R using promises. Asynchronous programming is useful for allowing a single R process to orchestrate multiple tasks in the background while also attending to something else. Semantics are similar to 'JavaScript' promises, but with a syntax that is idiomatic R.
Author: Joe Cheng [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Joe Cheng <joe@posit.co>

Diff between promises versions 1.2.1 dated 2023-08-10 and 1.3.0 dated 2024-04-05

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More information about promises at CRAN
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Package param2moment updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-19

Title: Raw, Central and Standardized Moments of Parametric Distributions
Description: To calculate the raw, central and standardized moments from distribution parameters. To solve the distribution parameters based on user-provided mean, standard deviation, skewness and kurtosis. Normal, skew-normal, skew-t and Tukey g-&-h distributions are supported, for now.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between param2moment versions 0.1.0 dated 2024-03-19 and 0.1.1 dated 2024-04-05

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Package nanonext updated to version 0.13.5.1 with previous version 0.13.2 dated 2024-03-01

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library implementing 'Scalability Protocols', a reliable, high-performance standard for common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing, with intuitive 'aio' objects which resolve automatically upon completion of asynchronous operations, and synchronisation primitives allowing R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package GRIDCOPULA updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-13

Title: Bivariate Copula Functions Based on Regular Grid
Description: Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rsalinas@correo.uaa.mx>

Diff between GRIDCOPULA versions 1.0.0 dated 2022-09-13 and 1.0.1 dated 2024-04-05

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Package ggstats updated to version 0.6.0 with previous version 0.5.1 dated 2023-11-21

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides new statistics, new geometries and new positions for 'ggplot2' and a suite of functions to facilitate the creation of statistical plots.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package ggstance updated to version 0.3.7 with previous version 0.3.6 dated 2022-11-15

Title: Horizontal 'ggplot2' Components
Description: A 'ggplot2' extension that provides flipped components: horizontal versions of 'Stats' and 'Geoms', and vertical versions of 'Positions'. This package is now superseded by 'ggplot2' itself which now has full native support for horizontal layouts. It remains available for backward compatibility.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package eatTools updated to version 0.7.6 with previous version 0.7.5 dated 2023-11-23

Title: Miscellaneous Functions for the Analysis of Educational Assessments
Description: Miscellaneous functions for data cleaning and data analysis of educational assessments. Includes functions for descriptive analyses, character vector manipulations and weighted statistics. Mainly a lightweight dependency for the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be subsequently submitted to 'CRAN'). The function for defining (weighted) contrasts in weighted effect coding refers to te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>. Functions for weighted statistics refer to Wolter (2007) <doi:10.1007/978-0-387-35099-8>.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Nicole Mahler [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

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Package common updated to version 1.1.3 with previous version 1.1.2 dated 2024-03-05

Title: Solutions for Common Problems in Base R
Description: Contains functions for solving commonly encountered problems while programming in R. This package is intended to provide a lightweight supplement to Base R, and will be useful for almost any R user.
Author: David Bosak [aut, cre], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between common versions 1.1.2 dated 2024-03-05 and 1.1.3 dated 2024-04-05

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New package childfree with initial version 0.0.1
Package: childfree
Title: Access and Harmonize Childfree Demographic Data
Version: 0.0.1
Description: Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: rio, utils,
Suggests: knitr,
VignetteBuilder: knitr
URL: https://www.zacharyneal.com/childfree, https://www.jennawneal.com/childfree-adults, https://github.com/zpneal/childfree
BugReports: https://github.com/zpneal/childfree/issues
NeedsCompilation: no
Packaged: 2024-04-05 12:36:32 UTC; zacharyneal
Author: Zachary Neal [aut, cre] , Jennifer Watling Neal [aut]
Maintainer: Zachary Neal <zpneal@msu.edu>
Repository: CRAN
Date/Publication: 2024-04-05 15:53:03 UTC

More information about childfree at CRAN
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Package broom.helpers updated to version 1.15.0 with previous version 1.14.0 dated 2023-08-07

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package Bayenet updated to version 0.2 with previous version 0.1 dated 2023-05-24

Title: Bayesian Quantile Elastic Net for Genetic Study
Description: As heavy-tailed error distribution and outliers in the response variable widely exist, models which are robust to data contamination are highly demanded. Here, we develop a novel robust Bayesian variable selection method with elastic net penalty for quantile regression in genetic analysis. In particular, the spike-and-slab priors have been incorporated to impose sparsity. An efficient Gibbs sampler has been developed to facilitate computation.The core modules of the package have been developed in 'C++' and R.
Author: Xi Lu [aut, cre], Cen Wu [aut]
Maintainer: Xi Lu <xilu@ksu.edu>

Diff between Bayenet versions 0.1 dated 2023-05-24 and 0.2 dated 2024-04-05

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Package PINSPlus updated to version 2.0.7 with previous version 2.0.6 dated 2021-12-14

Title: Clustering Algorithm for Data Integration and Disease Subtyping
Description: Provides a robust approach for omics data integration and disease subtyping. PINSPlus is fast and supports the analysis of large datasets with hundreds of thousands of samples and features. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust against noise and data perturbation (Nguyen et al. (2019) <DOI: 10.1093/bioinformatics/bty1049>, Nguyen et al. (2017)<DOI: 10.1101/gr.215129.116>, Nguyen et al. (2021)<DOI: 10.3389/fonc.2021.725133>).
Author: Hung Nguyen, Bang Tran, Duc Tran and Tin Nguyen
Maintainer: Van-Dung Pham <dvp0001@auburn.edu>

Diff between PINSPlus versions 2.0.6 dated 2021-12-14 and 2.0.7 dated 2024-04-05

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Package KLINK updated to version 0.7.3 with previous version 0.7.2 dated 2023-11-09

Title: Kinship Analysis with Linked Markers
Description: A 'shiny' application for forensic kinship testing, based on the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias' and 'FamLink', but offers several unique features, including visualisations and automated report generation. The calculation of likelihood ratios supports pairs of linked markers, and all common mutation models.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between KLINK versions 0.7.2 dated 2023-11-09 and 0.7.3 dated 2024-04-05

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New package BayesianMCPMod with initial version 1.0.1
Package: BayesianMCPMod
Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Version: 1.0.1
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and visualiz [...truncated...]
License: Apache License (>= 2)
URL: https://github.com/Boehringer-Ingelheim/BayesianMCPMod
BugReports: https://github.com/Boehringer-Ingelheim/BayesianMCPMod/issues
Depends: R (>= 4.2)
Imports: checkmate, DoseFinding (>= 1.1-1), ggplot2, nloptr, RBesT, stats
Suggests: clinDR, dplyr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-03 21:04:14 UTC; wojcie
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Steven Brooks [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>
Repository: CRAN
Date/Publication: 2024-04-05 13:53:00 UTC

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Package cheapr updated to version 0.5.0 with previous version 0.4.0 dated 2024-03-25

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between cheapr versions 0.4.0 dated 2024-03-25 and 0.5.0 dated 2024-04-05

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

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

2022-06-09 0.1.0

Permanent link
Package statnipokladna updated to version 0.7.3 with previous version 0.7.2 dated 2022-12-12

Title: Use Data from the Czech Public Finance Database
Description: Get programmatic access to data from the Czech public budgeting and accounting database, Státní pokladna <https://monitor.statnipokladna.cz/>.
Author: Petr Bouchal [aut, cre]
Maintainer: Petr Bouchal <pbouchal@gmail.com>

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New package RealVAMS with initial version 0.4-6
Package: RealVAMS
Title: Multivariate VAM Fitting
Version: 0.4-6
Date: 2024-04-05
Description: Fits a multivariate value-added model (VAM), see Broatch, Green, and Karl (2018) <doi:10.32614/RJ-2018-033> and Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model. The inner loop of the pseudo-likelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) <DOI:10.1016/j.csda.2012.10.004>. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.
License: GPL-2
Depends: R (>= 3.0.0), Matrix
Imports: numDeriv, Rcpp (>= 0.11.2), methods, stats, utils, grDevices, graphics
LazyData: yes
ByteCompile: yes
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2024-04-05 08:12:50 UTC; andre
Author: Andrew Karl [cre, aut] , Jennifer Broatch [aut], Jennifer Green [aut]
Maintainer: Andrew Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2024-04-05 09:13:06 UTC

More information about RealVAMS at CRAN
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Package MonteCarloSEM updated to version 0.0.8 with previous version 0.0.7 dated 2024-03-29

Title: Monte Carlo Data Simulation Package
Description: Monte Carlo simulation allows testing different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test can also be run. Please cite as "Orçan, F. (2021). MonteCarloSEM: An R Package to Simulate Data for SEM. International Journal of Assessment Tools in Education, 8 (3), 704-713."
Author: Fatih Orcan [aut, cre]
Maintainer: Fatih Orcan <fatihorcan84@gmail.com>

Diff between MonteCarloSEM versions 0.0.7 dated 2024-03-29 and 0.0.8 dated 2024-04-05

 DESCRIPTION     |    6 +++---
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 3 files changed, 7 insertions(+), 7 deletions(-)

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New package fableCount with initial version 0.1.0
Package: fableCount
Title: INGARCH and GLARMA Models for Count Time Series in Fable Framework
Description: Provides a tidy R interface for count time series analysis. It includes implementation of the INGARCH (Integer Generalized Autoregressive Conditional Heteroskedasticity) model from the 'tscount' package and the GLARMA (Generalized Linear Autoregressive Moving Averages) model from the 'glarma' package. Additionally, it offers automated parameter selection algorithms based on the minimization of a penalized likelihood.
Version: 0.1.0
Depends: R (>= 4.0.0), fabletools (>= 0.3.0), tscount (>= 1.4.3), glarma (>= 1.6.0), fable (>= 0.3.4)
Imports: stats, dplyr (>= 1.0.0), tsibble (>= 0.9.0), tibble, tidyr, distributional, lubridate, stringr, tsibbledata
Suggests: Rcpp, utils, rlang, covr, feasts, forecast, knitr, rmarkdown, testthat
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-04 20:52:53 UTC; GUSTAVO PC
Author: Gustavo Almeida [aut, cre] , Marcel Vieira [aut] , Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - CNPq [fnd], JFSalvando Todos - Plataforma de Analises Estatisticas [fnd, cph]
Maintainer: Gustavo Almeida <gustavoalmeidasilva@ice.ufjf.br>
Repository: CRAN
Date/Publication: 2024-04-05 09:13:03 UTC

More information about fableCount at CRAN
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Package APackOfTheClones updated to version 1.1.0 with previous version 1.0.0 dated 2024-01-13

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 1.0.0 dated 2024-01-13 and 1.1.0 dated 2024-04-05

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Package vartest updated to version 1.1 with previous version 1.0 dated 2024-03-23

Title: Tests for Variance Homogeneity
Description: Performs 20 omnibus tests for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between vartest versions 1.0 dated 2024-03-23 and 1.1 dated 2024-04-05

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New package GPvam with initial version 3.1-0
Package: GPvam
Title: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Version: 3.1-0
Date: 2024-04-05
Description: An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.
Depends: R (>= 3.2.0), Matrix
Imports: numDeriv, Rcpp (>= 0.11.2), graphics, grDevices, methods, stats, utils
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: yes
NeedsCompilation: yes
LazyData: yes
License: GPL-2
Packaged: 2024-04-05 07:52:53 UTC; andre
Author: Andrew Karl [cre, aut] , Yan Yang [aut], Sharon Lohr [aut]
Maintainer: Andrew Karl <akarl@asu.edu>
Repository: CRAN
Date/Publication: 2024-04-05 08:23:00 UTC

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New package GEmetrics with initial version 1.0.0
Package: GEmetrics
Title: Best Linear Unbiased Prediction of Genotype-by-Environment Metrics
Version: 1.0.0
Description: Provides functions to calculate the best linear unbiased prediction of genotype-by-environment metrics: ecovalence, environmental variance, Finlay and Wilkinson regression and Lin and Binns superiority measure, based on a multi-environment genomic prediction model.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, BGLR
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2024-04-05 06:55:27 UTC; rio
Author: Simon Rio [aut, cre] , Humberto Fanelli Carvalho [aut] , Julio Isidro y Sanchez [aut]
Maintainer: Simon Rio <simon.rio@cirad.fr>
Repository: CRAN
Date/Publication: 2024-04-05 08:32:58 UTC

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Package r2shortcode updated to version 0.2 with previous version 0.1 dated 2020-06-25

Title: Shorten Function Names of Functions in Another Package and Create an Index to Make Them Accessible
Description: When creating a package, authors may sometimes struggle with coming up with easy and straightforward function names, and at the same time hoping that other packages do not already have the same function names. In trying to meet this goal, sometimes, function names are not descriptive enough and may confuse the potential users. The purpose of this package is to serve as a package function short form generator and also provide shorthand names for other functions. Having this package will entice authors to create long function names without the fear of users not wanting to use their packages because of the long names. In a way, everyone wins - the authors can use long descriptive function names, and the users can use this package to make short functions names while still using the package in question.
Author: Obinna Obianom
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between r2shortcode versions 0.1 dated 2020-06-25 and 0.2 dated 2024-04-05

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Package oncoPredict updated to version 1.2 with previous version 0.2 dated 2021-09-24

Title: Drug Response Modeling and Biomarker Discovery
Description: Allows for building drug response models using screening data between bulk RNA-Seq and a drug response metric and two additional tools for biomarker discovery that have been developed by the Huang Laboratory at University of Minnesota. There are 3 main functions within this package. (1) calcPhenotype is used to build drug response models on RNA-Seq data and impute them on any other RNA-Seq dataset given to the model. (2) GLDS is used to calculate the general level of drug sensitivity, which can improve biomarker discovery. (3) IDWAS can take the results from calcPhenotype and link the imputed response back to available genomic (mutation and CNV alterations) to identify biomarkers. Each of these functions comes from a paper from the Huang research laboratory. Below gives the relevant paper for each function. calcPhenotype - Geeleher et al, Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines. GLDS - Geeleher et al, Can [...truncated...]
Author: Danielle Maeser [aut] , Robert Gruener [aut, cre]
Maintainer: Robert Gruener <rgruener@umn.edu>

Diff between oncoPredict versions 0.2 dated 2021-09-24 and 1.2 dated 2024-04-05

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Package gamstransfer updated to version 3.0.2 with previous version 3.0.1 dated 2024-03-28

Title: A Data Interface Between 'GAMS' and R
Description: Read, analyze, modify, and write 'GAMS' (General Algebraic Modeling System) data. The main focus of 'gamstransfer' is the highly efficient transfer of data with 'GAMS' <https://www.gams.com/>, while keeping these operations as simple as possible for the user. The transfer of data usually takes place via an intermediate GDX (GAMS Data Exchange) file. Additionally, 'gamstransfer' provides utility functions to get an overview of 'GAMS' data and to check its validity.
Author: Atharv Bhosekar [aut, cre], GAMS Development Corp. [cph, fnd], GAMS Software GmbH [cph, fnd]
Maintainer: Atharv Bhosekar <abhosekar@gams.com>

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Package exvatools updated to version 0.8.0 with previous version 0.7.0 dated 2024-03-21

Title: Value Added in Exports and Other Input-Output Table Analysis Tools
Description: Analysis of trade in value added with international input-output tables. Includes commands for easy data extraction, matrix manipulation, decomposition of value added in gross exports and calculation of value added indicators, with full geographical and sector customization. Decomposition methods include Borin and Mancini (2023) <doi:10.1080/09535314.2022.2153221>, Miroudot and Ye (2021) <doi:10.1080/09535314.2020.1730308>, Wang et al. (2013) <https://econpapers.repec.org/paper/nbrnberwo/19677.htm> and Koopman et al. (2014) <doi:10.1257/aer.104.2.459>.
Author: Enrique Feas [aut, cre]
Maintainer: Enrique Feas <efeas@runbox.com>

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Package bayest updated to version 1.5 with previous version 1.4 dated 2020-05-30

Title: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models
Description: Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided, too. For more details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

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Package psychonetrics updated to version 0.11.6 with previous version 0.11.5 dated 2023-10-03

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package hemispheR updated to version 1.1.4 with previous version 1.1.3 dated 2024-01-08

Title: Processing Hemispherical Canopy Images
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>

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Package NEONiso updated to version 0.7.0 with previous version 0.6.4 dated 2023-09-20

Title: Tools to Calibrate and Work with NEON Atmospheric Isotope Data
Description: Functions for downloading, calibrating, and analyzing atmospheric isotope data bundled into the eddy covariance data products of the National Ecological Observatory Network (NEON) <https://www.neonscience.org>. Calibration tools are provided for carbon and water isotope products. Carbon isotope calibration details are found in Fiorella et al. (2021) <doi:10.1029/2020JG005862>, and the readme file at <https://github.com/lanl/NEONiso>. Tools for calibrating water isotope products have been added as of 0.6.0, but have known deficiencies and should be considered very experimental currently.
Author: Rich Fiorella [aut, cre]
Maintainer: Rich Fiorella <rfiorella@lanl.gov>

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Package meteo (with last version 2.0-2) was removed from CRAN

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

2023-10-14 2.0-2
2015-09-24 0.1-5
2015-06-23 0.1-4

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Package netchain (with last version 0.2.0) was removed from CRAN

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

2020-02-16 0.2.0
2019-01-16 0.1.0

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Package readysignal (with last version 0.0.9) was removed from CRAN

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

2023-06-29 0.0.9
2023-05-01 0.0.8
2023-02-24 0.0.7

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