Sat, 02 Nov 2024

Package PvSTATEM updated to version 0.1.1 with previous version 0.0.4 dated 2024-10-03

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>

Diff between PvSTATEM versions 0.0.4 dated 2024-10-03 and 0.1.1 dated 2024-11-02

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Package Rcpp updated to version 1.0.13-1 with previous version 1.0.13 dated 2024-07-17

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , JJ Allaire [aut] , Kevin Ushey [aut] , Qiang Kou [aut] , Nathan Russell [aut], Inaki Ucar [aut] , Doug Bates [aut] , John Chambers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package EIEntropy updated to version 0.0.1.2 with previous version 0.0.1 dated 2024-07-01

Title: Ecological Inference Applying Entropy
Description: Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
Author: Alberto Diaz-Dapena [aut, cph], Esteban Fernandez-Vazquez [aut, cph], Silvia Maria Franco Anaya [aut, cre, cph]
Maintainer: Silvia Maria Franco Anaya <sfrana@unileon.es>

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Package multinet updated to version 4.2.1 with previous version 4.2 dated 2024-07-28

Title: Analysis and mining of multilayer social networks
Description: Functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.
Author: Matteo Magnani [aut, cre], Luca Rossi [aut] , Davide Vega [aut] , Obaida Hanteer [ctb]
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

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Package LadderFuelsR updated to version 0.0.7 with previous version 0.0.6 dated 2024-07-20

Title: Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data
Description: Set of tools for analyzing vertical fuel continuity at the tree level using Airborne Laser Scanning data. The workflow consisted of: 1) calculating the vertical height profiles of each segmented tree; 2) identifying gaps and fuel layers; 3) estimating the distance between fuel layers; and 4) retrieving the fuel layers base height and depth. Additionally, other functions recalculate previous metrics after considering distances greater than certain threshold. Moreover, the package calculates: i) the percentage of Leaf Area Density comprised in each fuel layer, ii) remove fuel layers with Leaf Area Density (LAD) percentage less than 10, and iii) recalculate the distances among the reminder ones. On the other hand, it identifies the crown base height (CBH) based on different criteria: the fuel layer with the highest LAD percentage and the fuel layers located at the largest- and at the last-distance. When there is only one fuel layer, it also identifies the CBH performing a segmented linear [...truncated...]
Author: Olga Viedma [aut, cph, cre], Carlos Alberto Silva [aut, cph], Jose Manuel Moreno [aut, cph], Andrew T. Hudak [aut, cph]
Maintainer: Olga Viedma <olga.viedma@uclm.es>

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Package mverse (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:

2022-05-23 0.1.0

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Package semhelpinghands updated to version 0.1.12 with previous version 0.1.11 dated 2024-04-26

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package dataCompare updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-21

Title: A 'shiny' App to Compare Two Data Frames
Description: A tool developed with the 'Golem' framework which provides an easier way to check cells differences between two data frames. The user provides two data frames for comparison, selects IDs variables identifying each row of input data, then clicks a button to perform the comparison. Several 'R' package functions are used to describe the data and perform the comparison in the server of the application. The main ones are comparedf() from 'arsenal' and skim() from 'skimr'. For more details see the description of comparedf() from the 'arsenal' package and that of skim() from the 'skimr' package.
Author: Sergio Ewane Ebouele [aut, cre]
Maintainer: Sergio Ewane Ebouele <info@dataforknow.com>

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